Python Developer Jobs in UAE
1741 Jobs Found
Chief Technology Officer<br>AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes.<br>Your Mission: The Rolesolving for better. You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. You won’t be presenting tech strategy on Power Point. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it.<br>Your Responsibilitieswhat you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark:<br>Set the North Star — Strategy & Vision Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IPPatent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in Power Point. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums."<br>Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose.<br>Functional Skills Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly.<br>Tech Superpowers AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, Tensor Flow/PyTorch, Go. Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader."<br>Experience & Relevance Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, Open AI; agentic workflows. Cross-Functional Business Impact – Bridged R&D, product, and GTM to deliver ≥ 30 % ROI improvements; trusted by founders and Fortune-500 execs alike. High-Stakes Decisioning & Influence – Navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity. Pedigree Credentials – Advanced degree (MS/PhD) in CS/AI/Eng; proven industry disruption record; combines MBB-style strategy with a builder’s execution bias.<br>Bonus Points (you will thrive if you have) Org Architect – Designed or scaled a 100 + engineer AI platform org from scratch. Patent Prodigy – Filed/secured ≥ 5 AI or distributed-systems patents. Open-Source Evangelist – Created or maintained widely adopted OSS in MLOps / vector databases. Recognized Tech Authority – Recognised expert (e.g., Google Dev Champion, AWS or Databricks) who optimises cost, latency, and security at hyperscale. Battle-Tested – Has broken production systems, learned, and automated safeguards to prevent repeats. Adoption-Focused – Proven knack for turning tech into sticky user adoption and recurring revenue. Founder Energy – Combines product vision, engineering heart, and ownership gut; bias for rapid prototyping & decision velocity within Searce “Happier” DNA<br>Join the ‘real solvers’ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
Chief Technology Officer<br>AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes.<br>Your Mission: The Rolesolving for better. You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. You won’t be presenting tech strategy on Power Point. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it.<br>Your Responsibilitieswhat you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark:<br>Set the North Star — Strategy & Vision Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IPPatent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in Power Point. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums."<br>Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose.<br>Functional Skills Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly.<br>Tech Superpowers AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, Tensor Flow/PyTorch, Go. Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader."<br>Experience & Relevance Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, Open AI; agentic workflows. Cross-Functional Business Impact – Bridged R&D, product, and GTM to deliver ≥ 30 % ROI improvements; trusted by founders and Fortune-500 execs alike. High-Stakes Decisioning & Influence – Navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity. Pedigree Credentials – Advanced degree (MS/PhD) in CS/AI/Eng; proven industry disruption record; combines MBB-style strategy with a builder’s execution bias.<br>Bonus Points (you will thrive if you have) Org Architect – Designed or scaled a 100 + engineer AI platform org from scratch. Patent Prodigy – Filed/secured ≥ 5 AI or distributed-systems patents. Open-Source Evangelist – Created or maintained widely adopted OSS in MLOps / vector databases. Recognized Tech Authority – Recognised expert (e.g., Google Dev Champion, AWS or Databricks) who optimises cost, latency, and security at hyperscale. Battle-Tested – Has broken production systems, learned, and automated safeguards to prevent repeats. Adoption-Focused – Proven knack for turning tech into sticky user adoption and recurring revenue. Founder Energy – Combines product vision, engineering heart, and ownership gut; bias for rapid prototyping & decision velocity within Searce “Happier” DNA<br>Join the ‘real solvers’ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><b><i><span><span>Job Summary:</span></span></i></b><br></p><br><p><i><span><span>We are seeking a highly skilled Confluent
Kafka Engineer to join our dynamic team. The ideal candidate will be
responsible for the development, User Acceptance Testing (UAT), and production
support of our Confluent Kafka-based systems. This role requires deep expertise
in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka
Streams, and Kafka Connect. The engineer will collaborate closely with
cross-functional teams to ensure the smooth operation of our data streaming
services and provide support across various environments.</span></span></i><br></p><br><p><b><i><span><span>Key Responsibilities:</span></span></i></b><br></p><br><p><b><i><span><span>Development:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Design, develop, and implement
Kafka-based solutions to meet business requirements, utilizing Confluent
Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Write and maintain
high-quality code for Kafka producers, consumers, and stream processing
applications.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Develop and manage Kafka
connectors for seamless integration with external systems, ensuring data
consistency and reliability.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Utilize Kafka Streams for
real-time processing of streaming data, transforming and enriching data as it
flows through the pipeline.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Employ KSQLDB for stream
processing tasks, including real-time analytics and transformations.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Collaborate with data
engineers, software developers, and DevOps teams to integrate Kafka solutions
with existing systems.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Ensure all Kafka-based
solutions are scalable, secure, and optimized for performance.</span></span></i><br></p><br><p><b><i><span><span>User Acceptance Testing (UAT):</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Develop and execute UAT plans
to validate Kafka solutions, including components such as Kafka Streams,
KSQLDB, and Kafka Connect, before deployment to production.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Work closely with QA teams to
identify and resolve defects during the UAT phase.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Ensure all UAT activities
comply with the organization’s standards and best practices.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Provide detailed reports on
UAT outcomes and work with developers to implement necessary fixes.</span></span></i><br></p><br><p><b><i><span><span>Production Support:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Monitor and maintain Kafka
clusters, including components like Confluent Control Center, to ensure high
availability and reliability of data streaming services.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Troubleshoot and resolve
issues related to Kafka performance, latency, and data integrity, including
issues specific to Kafka Streams, KSQLDB, and Kafka Connect.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Perform routine maintenance
tasks such as patching, upgrades, and backups for Kafka clusters and associated
components.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Implement monitoring solutions
to proactively identify and mitigate potential production issues, leveraging
Confluent Control Center for comprehensive cluster visibility.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Provide 24/7 support for
production systems, including participation in on-call rotation.</span></span></i><br></p><br><br><span>Requirements</span><p><b><i><span><span>Qualifications:</span></span></i></b><br></p><br><p><b><i><span><span>Education:</span></span></i></b><i><span><span> Bachelor’s degree in Computer Science, Information Technology, or a related
field.</span></span></i><br></p><br><p><b><i><span><span>Experience: </span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>3+ years of hands-on
experience with Apache Kafka and Confluent Kafka in a production environment,
including experience with Confluent Control Center, KSQLDB, Kafka Streams, and
Kafka Connect.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Proven experience in Kafka
development, including producer and consumer API, stream processing, and
connector development.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with Kafka cluster
management, including setup, configuration, monitoring, and troubleshooting.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Familiarity with distributed
systems, microservices architecture, and event-driven design patterns.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with cloud
platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.</span></span></i><br></p><br><p><b><i><span><span>Technical Skills:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Proficiency in programming
languages such as Java, Python, or Scala.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Strong knowledge of Kafka
internals, including brokers, zookeepers, topics, partitions, and offsets.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with monitoring
tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK
Stack).</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Proficiency in using Confluent
Control Center for monitoring, managing, and optimizing Kafka clusters.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Expertise in Kafka Streams for
building scalable, fault-tolerant stream processing applications.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Experience with KSQLDB for
real-time processing and analytics on Kafka topics.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Strong understanding of Kafka
Connect for integrating Kafka with external data sources and sinks.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Understanding of networking,
security, and compliance aspects related to Kafka.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Familiarity with CI/CD
pipelines and automation tools (e.g., Jenkins, GitLab CI).</span></span></i><br></p><br><p><b><i><span><span>Soft Skills:</span></span></i></b><br></p><br><p><span><span>-</span></span><i><span><span>Strong analytical and
problem-solving abilities.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Excellent communication and
teamwork skills.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>Ability to work independently
and manage multiple tasks effectively.</span></span></i><br></p><br><p><span><span>-</span></span><i><span><span>A proactive approach to
learning new technologies and improving existing processes.</span></span></i><br></p><br><br> </div>
The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Junior Research Scientist to support a multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates.<br><br>Working alongside researchers from NYUAD and Emirates Nature–WWF, the successful candidate will contribute to marine habitat mapping, spatial analysis, and environmental data integration to support fisheries management and marine conservation.<br><br>The Junior Research Scientist will support the acquisition, processing, and analysis of marine spatial and environmental datasets collected throughout the project. Working within a multidisciplinary team, the successful candidate will assist in developing habitat maps, managing spatial databases, integrating environmental monitoring data, and producing analytical outputs that inform conservation planning and fisheries management.<br><br>The role combines office-based spatial analysis with opportunities to participate in field surveys, environmental monitoring, and marine habitat assessments across the UAE.<br><br>The successful candidate will assist with processing GIS, bathymetric, habitat, and environmental datasets, maintaining project databases, and supporting the development of habitat maps and spatial products. Responsibilities include assisting with side-scan sonar and underwater imagery processing, data quality assurance, statistical analyses, and preparation of maps, figures, reports, and scientific publications.<br><br>The Junior Research Scientist will also participate in field campaigns to collect environmental and spatial reference data and contribute to project reporting and stakeholder deliverables.<br><br>Applicants must hold a Bachelor's or Master's degree in Marine Science, Geography, GIS, Oceanography, Environmental Science, Spatial Ecology, or a closely related discipline. Master’s degree and less than 5 years of research experience in the relevant field, or a Bachelor's degree with any level of experience.<br><br>The ideal candidate will have experience using GIS software such as Arc GIS or QGIS, managing scientific datasets, and conducting quantitative analyses using software such as R or Python. Experience with marine habitat mapping, environmental monitoring data, side-scan sonar, or remote sensing is desirable. Candidates should possess strong analytical and organizational skills and be comfortable working both independently and collaboratively within a multidisciplinary research team.<br><br>To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references letters will be requested from shortlisted candidates.<br><br>Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@nyu.edu<br><br>About NYU Abu Dhabi<br><br>https://nyuad.nyu.edu/en/<br><br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.<br><br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br><br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><br>Working for NYUAD<br><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br>Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate to join an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates.<br><br>Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat mapping, and environmental data integration components of a major applied research initiative that will directly inform fisheries management, marine conservation, and habitat restoration across the UAE.<br><br>The successful candidate will lead the spatial ecology and habitat mapping components of the project by integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products.<br><br>The Post-Doctoral Associate will collaborate closely with project staff to design field campaigns, develop sampling strategies, participate in marine field surveys, and ensure the effective integration of environmental, biological, and spatial datasets. The successful candidate will establish robust data management and quality assurance workflows while preparing scientific manuscripts, technical reports, maps, visualizations, and presentations for project partners and government stakeholders.<br><br>Additional responsibilities include engaging with Emirates Nature–WWF, government agencies, and other stakeholders to communicate research findings and support the translation of science into management and policy outcomes. The successful candidate will also contribute to the broader research activities of Mubadala ACCESS through mentoring junior researchers and students, participating in proposal development, and contributing to peer-reviewed publications.<br><br>Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post receipt of PhD.<br><br>The ideal candidate will have demonstrated experience conducting independent marine spatial analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable.<br><br>Candidates should have experience integrating biological, environmental, and spatial datasets and possess excellent written and verbal communication skills with a strong publication record in marine ecology, habitat mapping, fisheries ecology, or environmental science. Experience conducting marine field surveys, including SCUBA certification, and familiarity with environmental monitoring equipment such as CTDs, multiparameter sondes, or environmental sensor networks are required.<br><br>To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references letters will be requested from shortlisted candidates.<br><br>Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@nyu.edu<br><br>About NYU Abu Dhabi<br><br>https://nyuad.nyu.edu/en/<br><br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.<br><br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br><br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><br>Working for NYUAD<br><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br> Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
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Market <br> Advanced Manufacturing <br>
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<p>At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.</p><br><br>
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<p>Overview: </p><br><br><p><span>The intern will support application development and Power BI dashboard delivery across internal business needs. </span></p><br><br><br><p><span>Key responsibilities will include: </span></p><br><br><ul><li><span>developing and testing applications or workflow tools, building and maintaining Power BI dashboards, </span></li><li><span>preparing and validating datasets, documenting solutions, and supporting automation or AI/ML-enabled use cases where relevant. The role will involve working closely with team to turn data and process requirements into practical digital solutions.</span></li></ul><br>
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<p>Requirements: </p><br><br><ul><li><span>Computer Science graduate or final-year student, or equivalent degree in Software Engineering, Data Science, Information Systems, or related technology discipline</span></li><li><span>Hands-on exposure to real business application development, Power BI dashboards, automation, and AI/ML-enabled use cases. The role offers the chance to work with experienced professionals, develop both technical and business skills, contribute to meaningful digital solutions, and potentially be considered for a full-time role based on performance and business need.</span></li><li><span>Growth for the successful candidate would mean progressing from task-based technical support to independently owning small application or dashboard workstreams.</span></li><li><span>A successful internship may also create an opportunity for the candidate to be considered for a full-time role, subject to business need, performance, and availability of suitable opportunities. </span></li><li><span>Relevant experience includes application development using tools or languages such as React, Python, JavaScript. Experience with Power BI, DAX, Power Query, SQL, Excel, data modelling, APIs, and basic database concepts would be beneficial. Exposure to AI/ML concepts, automation, data analytics, Git/version control, and cloud platforms such as Azure would be an advantage.</span></li></ul>
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<br> From our inclusive employee networks to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.<br>
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With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place.<br>
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No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.<br>
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<p>We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.</p><br><br>
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<p>Onsite employees are expected to attend a Jacobs Workplace on a full-time basis, as required by the nature of their role.</p><br><br>
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<p>Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.</p><br><br>
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<br> Locations <br> CityStateCountry<br>Bur DubaiAll AE RegionsUnited Arab Emirates<br>
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<span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions.<br> This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.<br> You will act as a technical pillar within the AI squad—collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines.<br> This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.<br> Key ResponsibilitiesGenerative & Agentic AI Engineering Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.<br> Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.<br> Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.<br> Deep Learning & Model Optimization Core Modeling & Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.<br> Open-Source & Cloud Integration: Evaluate and deploy both proprietary cloud models (e.<br>g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.<br> Edge & Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.<br> Data & MLOps Infrastructure Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.<br> Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.<br> Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.<br> Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).<br> Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.<br> AI, Modeling & Frameworks Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.<br> Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.<br> A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.<br> High proficiency in configuring and querying Vector Databases (e.<br>g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.<br> Software Engineering & Core Tools Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.<br> Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.<br>g., Pandas, NumPy, Polars, or PySpark) It would also be great if you had: An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.<br> Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.<br>g., familiarity with data privacy, compliance, and secure financial data models).<br> Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.<br></span> </div>
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Company:MarshDescription:<p>Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.</p><br>The Opportunity<p>Marsh is seeking a<b>Summer Intern (AI, Data Science)</b>to join a fast-paced, innovation-focused team working on real business challenges across a global organization. This internship offers hands-on exposure to AI products and practical data science initiatives, with opportunities to build prototypes, support pilots, and help enable colleagues through training and materials.</p><br>What You Can Expect<ul><li>Hands-on involvement in enhancing and transforming processes and business operations within the<b>largest insurance broker in the world</b>.</li><li>An open work culture with a strong emphasis on<b>innovation, collaboration, and solving business problems</b>.</li><li>Exposure to international businesses and collaboration with colleagues across geographies.</li><li>An energetic, entrepreneurial team environment with experience across<b>data science, visualization, and descriptive analytics</b>.</li></ul>Key Responsibilities (What We Will Count on You For)<ul><li>Demonstrate strong<b>problem-solving</b>capability by understanding business requirements and exploring multiple solution approaches to deliver the desired outcome.</li><li>Gain expertise in<b>Marsh AI products</b>and support adoption by:<ul><li>Delivering trainings to colleagues</li><li>Customizing tools and workflows using<b>LLM-based solutions</b>where applicable</li></ul></li><li>Develop<b>prototypes, proof-of-concepts, and pilot programs</b>for high-priority opportunities.</li><li>Develop and deliver engaging<b>short training sessions</b>on AI fundamentals tailored to different audiences.</li><li>Create accessible training materials, including<b>presentations, videos, guides, and reference documents</b>.</li><li>Provide regular reporting on<b>project status, deliverables, and stakeholder communications</b>.</li><li>Support<b>pilot implementations</b>of selected AI solutions, monitoring progress and gathering feedback.</li><li>Participate in problem-solving sessions to help remove obstacles and address challenges as they arise.</li><li>Maintain a high level of<b>attention to detail</b>in deliverables and documentation.</li></ul>What You Need to Have (Required)<ul><li>Familiarity with<b>AI / machine learning concepts and applications</b>.</li><li>Basic data analysis experience and comfort working with<b>Excel (or similar analytical tools)</b>.</li><li>Experience with<b>business intelligence and/or data visualization tools</b>.</li><li>Intermediate capability in building tools in<b>Python</b>, leveraging available AI models where appropriate.</li><li>Proficiency in<b>MS Office</b>(Excel, PowerPoint, Word).</li><li>Strong communication skills; an outgoing, collaborative personality with a willingness to learn and contribute.</li></ul>Preferred Qualifications<ul><li>Currently enrolled in or recently completed an<b>undergraduate or graduate/master’s degree</b>in:<ul><li>Computer Science, Business, Engineering, Data Science, Information Systems, Business Analytics, or a related field.</li></ul></li></ul>Why Marsh<p>You’ll gain practical experience applying AI and data science to real business challenges, work alongside knowledgeable colleagues across regions, and build skills in solution development, stakeholder collaboration, and enablement through training—while contributing to meaningful innovation initiatives.</p><br><p><b>Interested?</b>Apply now to be considered for the Summer Intern (AI, Data Science) role at Marsh.</p><br>Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. </div>
<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst based in United Arab Emirates.<br><br></strong>This role offers the opportunity to become an independent analytical voice within a product team focused on matching, relationships, messaging, and AI-assisted user experiences.<br><br>You’ll work closely with product managers and senior leadership to determine whether product initiatives are delivering meaningful results and where investment can create the greatest impact.<br><br>Rather than simply building dashboards, you’ll design rigorous experiments, challenge assumptions, investigate anomalies, and turn complex data into actionable product decisions.<br><br>You’ll help establish a coherent measurement framework across acquisition, retention, reactivation, churn, and other key business drivers.<br><br>The position combines advanced product analytics, statistical experimentation, business understanding, and strong product thinking.<br><br>You’ll have a high degree of autonomy, with the opportunity to identify growth opportunities, develop hypotheses, and follow them through to measurable outcomes.<br><br>This is a fully remote environment suited to an analytical professional who enjoys ownership, critical thinking, and using data to influence product direction.<br><br>Accountabilities<br><br><ul><li>Design and run product experiments end to end, including hypothesis development, test duration, sample-size requirements, feasibility assessment, A/B testing, statistical significance, and interpretation of results.</li><li>Unify product metrics across multiple product areas into a coherent measurement framework, connecting the core company metric to acquisition, retention, reactivation, churn, and other key drivers.</li><li>Act as an independent analytical voice, ensuring product decisions are grounded in reliable evidence rather than assumptions or intuition.</li><li>Identify high-leverage growth opportunities where relatively small investments or changes can generate meaningful improvements in key metrics.</li><li>Connect product metrics to business goals, estimates, and costs, monitoring performance and identifying potential deviations from targets early.</li><li>Generate, prioritize, and validate product hypotheses in close collaboration with product managers.</li><li>Investigate anomalies and unexpected metric movements, identify root causes, and highlight potential product issues before they become more significant.</li><li>Assess product initiatives against broader business objectives and provide clear, data-driven perspectives on priorities and expected impact.</li><li>Continuously improve analytical processes, methodologies, and ways of working by identifying opportunities for greater rigor and efficiency.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>4+ years of professional experience in product analytics, ideally within a product environment with large or complex data volumes.</li><li>Bachelor’s degree or equivalent academic background in mathematics, engineering, or a related technical discipline.</li><li>Strong practical knowledge of mathematical statistics and probability theory.</li><li>Proven hands-on experience designing and running A/B tests, including test sizing, statistical significance, and results interpretation.</li><li>Strong proficiency in SQL and Python, with experience in data extraction, processing, analysis, and visualization; familiarity with Superset is a plus.</li><li>Deep understanding of product and marketing metrics such as LTV, CPA, retention, and conversion rate, including how these metrics connect to broader business performance.</li><li>Strong product thinking and the ability to interpret user behavior behind quantitative metrics.</li><li>High autonomy and ownership, with the ability to independently identify growth opportunities and follow initiatives through to measurable impact.</li><li>Strong critical-thinking skills, including the ability to challenge assumptions, validate data, and cross-check analytical conclusions.</li><li>Excellent communication skills, with the ability to explain complex analytical findings clearly and structure recommendations around measurable impact.</li><li>Experience with social products, dating, gaming, or two-sided marketplaces is an advantage.</li><li>Hands-on experience with recommender systems is a plus.</li><li>Previous experience working with data-rich, high-volume products is desirable.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully remote, full-time opportunity.</li><li>28 calendar days of vacation per year.</li><li>7 additional wellness days per year for personal, household, or recovery needs.</li><li>Bonuses of up to $5,000 for successful employee referrals.</li><li>50% reimbursement for professional training, international conferences, and professional meetings.</li><li>Corporate discounts for English-language lessons.</li><li>Health support, including up to $1,000 gross per year toward self-purchased health insurance or eligible medical expenses for the employee and close relatives when corporate medical insurance is not available.</li><li>Workplace support, including equipment and workspace provision at eligible offices or co-working locations.</li><li>Reimbursement of workplace costs of up to $1,000 gross once every three years for eligible remote employees, which can be used for co-working, home-office equipment, internet, and related workspace expenses.</li><li>Internal gamified recognition program offering rewards that can be exchanged for merchandise, team-building activities, massage certificates, and other benefits.</li><li>Initial compensation level or salary range shared with candidates during the recruitment process and before employment begins.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.<br><br>
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<p><strong>JOB PURPOSE: </strong></p><br><p><strong>Compliance Systems Governance and Model Validation Unit</strong></p><br><p>The unit is responsible for managing the Group Compliance system monitoring and validation programme (as the second line of defence) to provide assurance that the Group is operating in line with regulatory requirements and internal compliance policies and procedures. This entails planning, development and implementation of a risk-based Group Compliance system Validation plan, working with other Compliance units to undertake reviews and issuing reports that provide assurance as well as highlighting deficiencies so that they can be corrected. The function also aids in the development of compliance reports to support the EXCO, Compliance Operating Committee, GCC and MRMC.</p><br><p><span>The Sanctions Model Validation Specialist will be responsible for validating and ensuring the accuracy, reliability, and performance of sanctions screening models. This role involves rigorous testing, analysis, and documentation to ensure compliance with regulatory requirements and internal standards.</span></p><br><p><strong>KEY ACCOUNTABILITIES: </strong></p><br><p><strong><u>Job Specific Accountabilities</u></strong></p><br><p><strong>Policies, Systems, Process & Procedures</strong></p><br><ul><li><span><span>Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that the work is carried out in a controlled and consistent manner.</span></span></li></ul><p><strong>Key Responsibilities:</strong></p><br><ul><li><span><span>Conduct comprehensive validation of sanctions screening models, including data integrity, model performance, and output accuracy.</span></span></li><li><span><span>Develop and implement validation methodologies and frameworks in line with industry best practices and regulatory guidelines.</span></span></li><li><span><span>Perform quantitative and qualitative analysis to assess model risk and performance.</span></span></li><li><span><span>Collaborate with model developers, compliance teams, and other stakeholders to address validation findings and improve model robustness.</span></span></li><li><span><span>Prepare detailed validation reports and documentation for internal and regulatory review.</span></span></li><li><span><span>Stay updated with the latest regulatory requirements, industry trends, and advancements in sanctions screening technologies.</span></span></li><li><span><span>Provide recommendations for model improvements and enhancements based on validation results.</span></span></li></ul><p><strong>Reporting</strong></p><br><ul><li><span><span>Collaborate with Compliance SMEs, work closely with Subject Matter Experts (SMEs) in Compliance to develop Management Information (MI) dashboards related to compliance systems validation.</span></span></li><li><span><span>Create periodic review plans and regularly report the status of these reviews to senior management.</span></span></li><li><span><span>Track and ensure timely closure of any pending issues identified in previous reviews.</span></span></li></ul><p>Contribute to the development of the annual review plan in accordance with regulatory requirements, internal audit (GIA) guidelines, and any ad hoc requirements. </p><br><p><strong>QUALIFICATIONS & EXPERIENCE: </strong></p><br><p><strong>Minimum Qualification</strong></p><br><ul><li><span><span>Bachelor’s or master’s degree in finance, Economics, Statistics, Mathematics, Computer Science, or a related field.</span></span></li><li><span><span>Proven experience in model validation, risk management, or a similar role within the financial services industry.</span></span></li><li><span><span>In-depth understanding of sanctions regulations and compliance standards, including OFAC, EU sanctions, and other international sanctions regimes. Understanding of CBUAE regulations is desirable.</span></span></li></ul><p><strong>Minimum Experience</strong></p><br><ul><li><span><span>7 to 10 years of experience with financial institutions, regulators, and/or professional services firms, focusing on Financial Crime Technology and Analytics work streams/services.</span></span></li><li><span><span>Strong understanding of sanctions screening processes, regulatory requirements, and compliance standards.</span></span></li><li><span><span>Proficiency in data modeling, and programming languages such as Java/Python.</span></span></li><li><span><span>Good knowledge of Fircosoft products such as Firco Continuity, Firco Trust, and Firco Screen and Keep (FSK) along with good understanding of Firco rules, lists, and filter settings.</span></span></li><li><span><span>Experience with Firco backend components and a good understanding of various component rules (decision reapplication, pairing, stripping, etc.).</span></span></li><li><span><span>Good knowledge in data governance framework, including data quality, data lineage, and data stewardship etc.</span></span></li><li><span><span>Experience in creating SQL queries and good knowledge in database management concepts.</span></span></li><li><span><span>Understanding of data warehouse, master data management, and data lake concepts is added advantage.</span></span></li><li><span><span>Excellent understanding of IT service management (ITSM) frameworks such as ITIL and other system performance monitoring controls.</span></span></li><li><span><span>Good understanding of Disaster Recovery (DR) and Business Continuity Planning (BCP) concepts to validate system resilience and high availability.</span></span></li><li><span><span>Ability to conduct comprehensive quantitative and qualitative analysis to assess model performance and risk. Additionally, proficiency in back testing, stress testing, and sensitivity analysis to evaluate model robustness.</span></span></li><li><span><span>Ability to work independently and as part of a team, collaborating with model developers, compliance teams, and other stakeholders.</span></span></li><li><span><span>Strong technical report writing skills for preparing detailed validation reports and documentation.</span></span></li><li><span><span>Attention to detail and a commitment to maintaining high standards of accuracy and integrity.</span></span></li><li><span><span>Certification in ACAMS, CGSS, ICA, etc., is an added advantage. </span></span></li></ul><br> <b>About Us:</b><br> First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br> <b>Life at FAB:</b><br> Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br> <b>Career Development:</b><br> FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br> <b>Our Values:</b><br> At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br> Join our team and be part of a journey to shape the future of banking.<br> </div>
<h2 class="h5">Job description</h2>
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Domain Consultant Idira - Secrets
<span> Dubai, United Arab Emirates </span>
<span>Sales</span>
<span><span>Ref ID:</span> JR-022303</span>
<br>
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<p>Current Employees, apply here</p><br>
<br>
<p><b>Our Mission</b></p><br><p>At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.</p><br><p><b>Who We Are</b></p><br><p>In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!</p><br>We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.<p><b>Job Summary</b></p><br><p>We are seeking a passionate, intellectually curious, and technically skilled Domain Consultant/Solutions Engineer to join our growing DevOps Domain Consulting team. In this role, you will be the trusted technical advisor and subject matter expert to our customers, with a specific focus on Application-Level and Agentic AI secrets management.</p><br><br><p>This role involves working closely with the sales team, product management, and engineering teams to better position, demonstrate, and evaluate Idira solutions to customers. Your mission is to help customers secure machine identities and secrets across their DevOps pipelines, cloud-native applications, AI Agents and hybrid infrastructure. Idira Domain Consultants work with their business unit sales counterparts and are responsible for establishing the value of Idira solutions to prospective and current customers through demos, presentations, meetings, and Proof of Concepts (POCs). The Domain Consultant helps create successful and satisfied customers by building relationships and technical trust with customers and is seen internally and externally, as a technical expert on Idira products in their category, as well as an industry expert in identity and secrets management.</p><br><br><p><b>Responsibilities</b></p><br><ul><li>Build and deliver product demonstrations and sales presentations to create excitement around Idira technology.</li><li>Conduct POC evaluations of Idira products with prospective customers. Utilize your sales experience to position Idira’s value and differentiators to acquire the technical win.</li><li>Act as the technical expert and trusted advisor for machine identity security solutions during the sales cycle.</li><li>Partner with Account Executives to articulate the value of Idira’s solutions to technical and business stakeholders.</li><li>Conduct technical discovery sessions to understand customer environments,</li><li>challenges, and security goals.</li><li>Translate customer requirements into solution architecture and deployment strategies. Collaborate with product management and R&D to influence product direction and resolve customer issues.</li><li>Stay up to date on industry trends and emerging DevOps tools, CI/CD, Agentic AI frameworks, and best practices.</li><li>Assist in marketing efforts to generate pipeline and increase leads.</li><li>Deliver technical workshops, webinars, and training sessions to clients and internal teams.</li><li>Travel as needed to meet customers, attend conferences, or conduct on-site workshops.</li></ul><br><p><b>Qualifications </b></p><br><ul><li>2+ years in a customer-facing pre-sales or solutions engineering role, ideally in the cybersecurity and/or DevOps tooling space.</li><li>Strong understanding of DevOps practices and tools (CI/CD pipelines, containers, Kubernetes, Terraform, Jenkins, etc.).</li><li>Understanding of cryptographic security technologies such as SSL/TLS, SSH, PKI, and HSMs</li><li>Experience working with Agentic AI frameworks, large language models (LLMs), or autonomous AI workflows to optimize engineering and automation processes.</li><li>Development experience in languages such as Python, Go, Java, or Node.js.</li><li>Scripting knowledge using tools such as PowerShell, or Bash. Ability to work with REST APIs.</li><li>Deep curiosity about the DevOps landscape and a desire to stay ahead of industry trends.</li><li>Familiarity with AI orchestration, prompt engineering, or integrating AI agents into development lifecycles.</li><li>Excellent communication, presentation, and interpersonal skills.</li><li>Experience managing and executing detailed technical responses for RFIs and RFPs.</li><li>Ability to distill complex technical concepts into business value propositions.</li><li>Full professional proficiency in English is essential; proficiency in Arabic is a strong plus.</li></ul><br><p><b>Preferred:</b></p><br><ul><li>Experience with cloud platforms (AWS, Azure, GCP) and their secrets management systems.</li><li>Operational experience with PKI deployment and lifecycle management.</li><li>Prior experience with identity and access management (IAM), privileged access management (PAM), or secrets management solutions.</li><li>Knowledge of Zero Trust security models and security compliance frameworks.</li><li>Hands-on experience securing or deploying autonomous AI agents, including managing API keys, permissions, or secrets for Agentic AI workflows.</li><li>Relevant certifications (e.g., Kubernetes, AWS, CyberArk Guardian or Defender) are a plus.</li><li>K8s certifications such as CKA or CKS and/or Cloud Architect Certifications</li><li>(AWS/Azure/GCP)</li></ul><p><b>Our Commitment </b></p><br><p>We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.</p><br><p>We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at <span><u>accommodations@paloaltonetworks.com</u></span>.</p><br><p>Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.</p><br><p>All your information will be kept confidential according to EEO guidelines.</p><br>Is role eligible for Immigration Sponsorship?: Yes<br>
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</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Domain Consultant
<span> Dubai, United Arab Emirates<br> Ajman, United Arab Emirates </span>
<span>Sales</span>
<span><span>Ref ID:</span> JR-020117</span>
<br>
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<p>Current Employees, apply here</p><br>
<br>
<p><b>Our Mission</b></p><br><p>At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.</p><br><p><b>Who We Are</b></p><br><p>In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!</p><br>We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.<p><b>Job Summary</b></p><br><p><b><span>Your Career</span></b></p><br><p><span>As a Domain Consultant for the Cortex business you will be the expert for our portfolio, a Next-Gen AI-powered security operations platform. You will play a key role in defining technical solutions that secure a customer’s key business imperatives. You evangelize our industry leading solutions in Security Intelligence and Automation, XDR, Attack Surface Management, SOAR and Incident Response that establish Palo Alto Networks as a customer’s cybersecurity partner of choice.</span><br></p><br><p><b><span>Your Impact</span></b></p><br><ul><li><p><span>Collaborate with account teams to recommend and develop customer solutions within your assigned specialization area</span></p><br></li><li><p><span>Present to customers as our expert at all levels in the customer hierarchy, from practitioner to senior leadership</span></p><br></li><li><p><span>As the main technical point of contact for Cortex, you will assist and collaborate to respond effectively to RFIs/RFPs.</span></p><br></li><li><p><span>Lead and support customer demonstrations that showcase our unique value proposition</span></p><br></li><li><p><span>Scope and lead Proof of Value (PoV) projects for prospective customers and partners based on best practices to ensure technical win in your assigned opportunities</span></p><br></li><li><p><span>Drive high technical validation and PoV win rates within your assigned specialization area</span></p><br></li><li><p><span>Responsible for discussing and highlighting product alignment with customer requirements and differentiation</span></p><br></li><li><p><span>Architect solutions that will help our customers strengthen and simplify their security posture</span></p><br></li><li><p><span>Document High-Level Design and Key Use Cases to ensure proper implementation and value realization of Palo Alto Networks Solutions</span></p><br></li><li><p><span>Help our customers build and develop further their services around Cortex solutions</span></p><br></li><li><p><span>Lead conversations about industry trends and emerging changes to the security landscape </span></p><br></li><li><p><span>Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative</span></p><br></li><li><p><span>Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions</span></p><br></li><li><p><span>Act as a conduit for customer feedback to Product Management, Technical Marketing, competitor intelligence, and R&D to create requirements and deliver product features for our customers</span></p><br></li></ul><ul><li><p>Drive high technical validation and PoV win rates within your assigned specialization area</p><br><p>.</p><br></li><li><p>Responsible for discussing and highlighting product alignment with customer requirements and differentiation</p><br><p>.</p><br></li><li><p>Architect solutions that will help our customers strengthen and simplify their security posture</p><br><p>.</p><br></li><li><p>Document High-Level Design and Key Use Cases to ensure proper implementation and value realization of Palo Alto Networks Solutions</p><br><p>.</p><br></li><li><p>Help our customers build and develop further their services around Cortex solutions</p><br><p>.</p><br></li><li><p>Lead conversations about industry trends and emerging changes to the security landscape</p><br><p>.</p><br></li><li><p>Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative</p><br><p>.</p><br></li><li><p>Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions</p><br><p>.</p><br></li><li><p>Act as a conduit for customer feedback to Product Management, Technical Marketing, competitor intelligence, and R&D to create requirements and deliver product features for our customers</p><br></li></ul><p><b>Qualifications </b></p><br><b>Your Experience</b><br><ul><li><p>6+ years experience in Security Operations or pre-sales/sales engineering within SIEM, SOAR, SOC, and/or XDR/EDR environments</p><br></li><li><p>Experience in working with customers, demonstrating problem-solving skills and a can-do attitude .</p><br></li><li><p>Solid understanding of Security Operations Center processes</p><br></li><li><p>Advanced knowledge of SIEM and/or SOAR solutions</p><br></li><li><p>Advanced knowledge of Endpoint Security XDR/EDR solutions.</p><br></li><li><p>Scripting experience is a plus - Python preferred</p><br></li><li><p>Understanding of Cloud Technologies and DevOps is preferred</p><br></li><li><p>Proficient in English and Arabic</p><br></li></ul><br><br><br><br><br><br><br><br><br><p><b>Our Commitment </b></p><br><p>We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.</p><br><p>We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at <span><u>accommodations@paloaltonetworks.com</u></span>.</p><br><p>Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.</p><br><p>All your information will be kept confidential according to EEO guidelines.</p><br>Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.<br>
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<p>Current Employees, apply here</p><br>
<br>
</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><span><strong>CRM and Performance Reporting Officer</strong></span></p><br><p><span><strong>Grade:</strong> Grade 5</span><br><span><strong>Directorate:</strong> Marketing, Recruitment, Admissions and Communications (MRAC)</span><br><span><strong>Function:</strong> Prospect Experience / Global Admissions Hub</span><br><span><strong>Location:</strong> Dubai</span><br><span><strong>Employment Type:</strong> Full-time</span><br><span><strong>Reports to:</strong> CRM & Performance Reporting Manager</span></p><br><p><span><strong>Role Purpose</strong></span></p><br><p><span>The CRM and Performance Reporting Officer will support the effective delivery of CRM, data analytics, performance reporting and automation activities across MRAC, Prospect Experience and the Global Admissions Hub.</span></p><br><p><span>Working closely with the CRM & Performance Reporting Manager, the postholder will support the development of Power BI dashboards, CRM workflows, recruitment and admissions reporting, applicant conversion analysis, Cost of Acquisition monitoring and data quality. The role will also support campaign delivery, regulatory reporting and wider digital improvement initiatives.</span></p><br><p><span><strong>Key Responsibilities</strong></span></p><br><p><span><strong>Data Analytics and Power BI</strong></span></p><br><ul><li><span>Develop, maintain and enhance Power BI dashboards covering recruitment, admissions, conversion and enrolment performance.</span></li><li><span>Use DAX, Power Query and data modelling techniques to support accurate and effective reporting.</span></li><li><span>Analyse complex datasets to identify trends, risks and opportunities.</span></li><li><span>Support the development of reporting models using data from CRM, admissions and other institutional systems.</span></li><li><span>Ensure dashboards and reports are accurate, consistent and accessible to relevant stakeholders.</span></li></ul><p><span><strong>Recruitment and Admissions Reporting</strong></span></p><br><ul><li><span>Produce regular reporting on applications, offers, deposits, enrolments and conversion performance.</span></li><li><span>Monitor applicant progression through the recruitment and admissions funnel.</span></li><li><span>Support intake forecasting and trajectory modelling across September, January and May.</span></li><li><span>Provide ad-hoc analysis to support operational and strategic decision-making.</span></li></ul><p><span><strong>Cost of Acquisition and Financial Reporting</strong></span></p><br><ul><li><span>Support Cost of Acquisition modelling and reporting.</span></li><li><span>Assist with analysis of scholarships, discounts and agent commissions.</span></li><li><span>Support monitoring and reconciliation of recruitment-related expenditure and performance.</span></li><li><span>Contribute to improved governance and reporting of discounts and scholarships.</span></li></ul><p><span><strong>Admissions and Campaign Support</strong></span></p><br><ul><li><span>Support accurate tracking of application status, documentation, offer conditions and enrolment progression.</span></li><li><span>Assist with CRM-based conversion and applicant communication campaigns.</span></li><li><span>Support audience segmentation and targeted communications across the applicant journey.</span></li><li><span>Work with Recruitment, Admissions and Marketing colleagues to improve applicant engagement and conversion.</span></li></ul><p><span><strong>CRM and Automation</strong></span></p><br><ul><li><span>Build, maintain and optimise CRM workflows, automation journeys and communication campaigns.</span></li><li><span>Support CRM system testing, enhancements and user administration.</span></li><li><span>Monitor CRM processes and identify opportunities to improve efficiency and reduce manual activity.</span></li></ul><p><span>Support colleagues with CRM-related queries and system processes.</span></p><br><p><span><strong>Data Quality, Compliance and Continuous Improvement</strong></span></p><br><ul><li><span>Support data quality checks and identify discrepancies across CRM and related systems.</span></li><li><span>Assist with CHEDS and other institutional or regulatory reporting requirements.</span></li><li><span>Support audit and compliance activity relating to recruitment and admissions data.</span></li><li><span>Identify opportunities for automation, process improvement and enhanced reporting.</span></li><li><span>Contribute to wider MRAC digital transformation initiatives.</span></li></ul><p><span><strong>Person Specification</strong></span></p><br><p><span><strong>Education and Qualifications</strong></span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Bachelor’s degree in Data Science, Data Analytics, Business Analytics, Computer Science, Information Systems or a closely related quantitative discipline.</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span>Master’s degree in Data Science, Data Analytics, Business Analytics or a related discipline.</span></li><li><span>Relevant Microsoft Power BI or data analytics certification.</span></li></ul><p><span><strong>Technical Skills</strong></span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Strong practical experience using Microsoft Power BI.</span></li><li><span>Demonstrable proficiency in DAX.</span></li><li><span>Strong understanding of data modelling and dashboard development.</span></li><li><span>Experience using Power Query for data preparation and transformation.</span></li><li><span>Strong analytical and numerical skills.</span></li><li><span>Advanced Microsoft Excel skills.</span></li><li><span>Ability to work with large and complex datasets.</span></li><li><span>Strong understanding of data quality, validation and reconciliation.</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span>Working knowledge of SQL or equivalent data-querying tools.</span></li><li><span>Experience with CRM or marketing automation systems.</span></li><li><span>Knowledge of Power Automate or other Microsoft Power Platform tools.</span></li><li><span>Exposure to forecasting, predictive analytics or statistical modelling.</span></li><li><span>Experience using Python, R or similar analytical tools.</span></li></ul><p><span><strong>Experience</strong></span></p><br><p><span><strong>Essential</strong></span></p><br><ul><li><span>Experience producing analytical reports, dashboards or management information.</span></li><li><span>Experience analysing data and translating findings into meaningful insights.</span></li><li><span>Experience managing multiple priorities and working to deadlines.</span></li><li><span>Experience working collaboratively with stakeholders.</span></li></ul><p><span><strong>Desirable</strong></span></p><br><ul><li><span>Experience within higher education, recruitment, admissions or student services.</span></li><li><span>Experience working with applicant conversion or recruitment performance data.</span></li><li><span>Experience supporting CRM automation and communication campaigns.</span></li><li><span>Experience with Cost of Acquisition, scholarships, discounts or commission reporting.</span></li><li><span>Experience supporting regulatory or compliance reporting.</span></li></ul><p><span><strong>Skills and Competencies</strong></span></p><br><p><span>The successful candidate will demonstrate:</span></p><br><ul><li><span>Strong analytical and problem-solving skills.</span></li><li><span>High attention to detail and accuracy.</span></li><li><span>Ability to communicate data and insights clearly to technical and non-technical audiences.</span></li><li><span>Strong organisational and time-management skills.</span></li><li><span>Ability to work independently and collaboratively.</span></li><li><span>A proactive approach to continuous improvement and automation.</span></li><li><span>Commitment to data integrity, confidentiality and good governance.</span></li></ul><p><span><strong>Key Working Relationships</strong></span></p><br><p><span>The postholder will work closely with:</span></p><br><ul><li><span>CRM & Performance Reporting Manager</span></li><li><span>Finance and Planning</span></li><li><span>Prospect Experience and Global Admissions Hub teams</span></li><li><span>Recruitment and Admissions teams</span></li><li><span>Marketing and Communications</span></li><li><span>Information Services and other relevant professional services teams</span></li></ul><p><span><strong>‘How to Apply’</strong></span></p><br><p><span>Please submit your CV and a cover letter setting out how you meet the criteria for this role. </span></p><br><p><span>Shortlisted candidates may be invited to complete an on-demand-video interview as the first stage of the selection process. Successful candidates will then proceed to in-person formal interviews at our Dubai campus. Following the formal interview, the preferred candidate will attend a second interview with senior staff at the Dubai campus before a final offer decision is made.</span></p><br><p><span>At Heriot Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together. Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team. </span></p><br><p><span>Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community.</span></p><br><p><span>Heriot-Watt University is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected, trained, promoted, appraised and otherwise treated on the sole basis of their relevant merits and abilities. Equality and diversity are all about maximising potential and creating a culture of inclusion for all.</span></p><br><p><i><span><strong>The appointment is conditional upon successful completion of all Labor and Immigration formalities, and the start date will need to be delayed if the employment visa is not in place.</strong></span></i></p><br><br> </div>
Job Purpose: <br>The Senior Specialist - Sys Ops (Dev Ops) is responsible for managing, optimizing, and securing enterprise infrastructure, cloud platforms, Dev Ops toolchains, automation frameworks, and containerized environments. The role ensures reliability, scalability, performance, and operational excellence across internal and customer-hosted platforms while providing advanced technical support for incidents, service requests, and operational challenges.<br>Key Responsibilities: -<br>Infrastructure and Operations Participate in the design, planning, and implementation of new projects and technologies, ensuring that solutions are highly available, secure, scalable, and performant. Provide day-to-day L2/L3 operational support, including incidents, service requests, problems, changes, and operational tasks. Monitor infrastructure performance, identify and resolve bottlenecks, troubleshoot outages, perform root cause analysis, and recommend improvements. Secure infrastructure by establishing and enforcing policies, defining and monitoring access, and supporting vulnerability and risk remediation. Maintain infrastructure health checks and proactively take action to minimize downtime and performance issues. Ensure services are backed up and recoverable in accordance with approved backup and recovery policies. Report operational infrastructure status, risks, progress, dependencies, and challenges to management. Actively participate in new projects, technology initiatives, and the onboarding of new customers and services. Cloud Platform and Platform Engineering Design, deploy, administer, and optimize Microsoft Azure infrastructure and platform services. Support cloud migration, modernization, hybrid-cloud integration, governance, security, availability, and cost optimization initiatives. Implement resilient cloud-native architectures and standardized platform services that improve scalability and operational efficiency. Containers, Orchestration, and Git Ops Deploy, manage, upgrade, and troubleshoot containerized workloads using Kubernetes, Docker, and Helm. Implement Git Ops-based deployment and configuration management practices for consistent, auditable, and repeatable platform operations. Monitor and optimize cluster availability, performance, resource utilization, capacity, and security. Infrastructure as Code and Configuration Management Develop and maintain Infrastructure as Code using Terraform, Ansible, and Bicep. Create reusable modules, templates, playbooks, and automated provisioning workflows. Maintain version-controlled infrastructure definitions and configuration standards to ensure consistency across environments. CI/CD and Dev Sec Ops Design, build, maintain, and optimize CI/CD pipelines using Jenkins, Git Hub, Git Lab, and Azure Dev Ops. Automate build, test, security validation, deployment, rollback, and release processes. Collaborate with development, security, and operations teams to embed security, compliance, and quality controls into delivery pipelines. Promote Dev Ops and Git Ops practices to improve deployment speed, consistency, traceability, and reliability. Scripting and Workflow Automation Develop and maintain automation scripts and configuration files using Bash, Power Shell, Python, and YAML. Automate repetitive infrastructure, deployment, monitoring, reporting, and service-management activities to reduce manual effort and operational risk. Integrate enterprise platforms, APIs, and workflows to streamline service delivery and operational processes. Monitoring and Observability Implement and maintain monitoring, dashboards, alerting, and observability solutions using Prometheus, Grafana, Azure Monitor, and Log Analytics. Perform proactive monitoring, capacity planning, trend analysis, and performance optimization to maintain service stability and availability.<br>AI and Automation Deploy and operationally support Azure AI services and AI-enabled solutions in accordance with security and governance requirements. Design and implement workflow automation that improves operational efficiency, response times, and service quality. Evaluate emerging AI, cloud-native, and automation technologies for practical adoption and service enhancement. Service Management, Documentation, and Stakeholder Support Ensure compliance with approved ITSM policies, processes, procedures, and service-management guidelines. Write comprehensive technical reports, operational procedures, assessment findings, knowledge-base articles, known-error records, and troubleshooting documentation.<br>Skills/Certifications (Technical & Non-Technical) Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) Microsoft Certified: Azure Administrator Associate<br>Minimum Work Experience: -<br>5+ Years of Relevant Experience<br>Education: -<br>Bachelor’s degree in computer science, Computer Engineering, Information Technology, Information Systems or High School Diploma and Solid Related Work Experience.
The Laboratory for Computer-Human Intelligence in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated Research Assistant to work on cutting-edge machine learning / artificial intelligence / data science applications that utilize human signals (e.g. text, audio, physiology).<br><br>The Role<br><br>The Research Assistant will work on research projects in the Laboratory for Computer-Human Intelligence under the direction of the Principal Investigator Tuka Alhanai. Research projects range from implementing machine learning algorithms that measure cognitive outcomes, to visualizing patterns that map population-level health and well-being. The Research Assistant is expected to develop creative solutions to day-to-day technical challenges, think critically about meaningful next steps in the research process, and lucidly relay their thoughts, insights, and conclusions to high-level executive audiences and technical peers. It is not expected that the applicant be perfect at these tasks, but will motivated and self-driven to develop the necessary skills to master the role of a researcher.<br><br>Key Responsibilities<br><br>In the capacity of a researcher, the individual is expected to generally conduct the following activities. The specifics are dependent on the nature of the project they work on.<br><br>Data Curation: Develop data ingestion engine(s) (appropriate for the data type) to organize the data that simplifies processing conducted with the data. Researcher will utilize any of sensors, front-end web-based applications, and databases to collect and organize data. Multimodal Signal Processing: involves processing data of different types (e.g. audio, text, physiology, image, movement), using computational methods. Most data is noisy and needs to be cleaned and reduced into a salient representation. Machine Learning: involves applying algorithms to automatically detect patterns in data and model outcomes of interest. Many if the latest modeling approaches are little understood, and require computational power to digest information beyond what humans are able to process. Visualization: Representation of data and results in the form of plots, charts, and images. This helps convey to technical peers as well as the general public what contributions the work makes to knowledge. It is expected that this be rendered statically and/or dynamically in a web framework. Documentation: involves structuring above work in a (a) software repository, (b) comprehensive comments in software, (c) development of a clear README, (d) journal/conference paper*, and (e) corresponding project website. This ensures work is reproducible and accessible to both technical peers and the general public.researcher should target top-100 publications here: http://www.guide2research.com/topconf/<br><br>Technical Experience<br><br>The successful applicant will have the following technical experience in:<br><br>The development of end-to-end applications (e.g. databases, algorithms, visualizations). Processing one or more data types/signals (e.g. text, audio, images, physiology). Applying machine learning algorithms (e.g. regression, neural networks). Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as source code version control (git). Authoring peer-reviewed scientific papers.<br><br>Attitude<br><br>The successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality.<br><br>Further Information<br><br>For a sense of work performed in the lab, explore this portfolio: https://talhanai.xyz/projects.html<br><br>The Division<br><br>Engineering research at NYU Abu Dhabi crosses the boundaries of traditional engineering disciplines and encompasses broad interdisciplinary areas that embody key characteristics of our age. In the face of global competition, dwindling natural resources, and the complexity of societal needs, the leaders of technological enterprises will be those who can innovate, are inventive and entrepreneurial, and understand how technology is integrated within society.<br><br>About NYUAD<br><br>NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.<br><br>UAE Nationals are encouraged to apply.<br><br>Educational Experience<br><br>The successful application will have a Bachelor’s (ideally Master’s) degree in Computer Science (or equivalent major; Mathematics, Physics, Engineering, Economics, etc.).<br><br>Applications Will Be Considered On a Rolling Basis Until The Position Is Filled. An Applicant That Passes The Review Process Will Be Accepted Immediately. To Be Considered, All Applicants Must Submit In PDF Format<br><br>Cover letter. Curriculum Vitae. Transcript of degree. Two letters of recommendation.<br><br>Additional Program Information<br><br>UAE nationals are encouraged to apply<br><br>This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html<br><br>Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.<br><br>For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)<br><br>UAE nationals are encouraged to apply<br><br>This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html<br><br>For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
<strong>We help the world run better<br><br></strong>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.<br><br><strong>What You’ll Build<br><br></strong>In this role, you'll lead the design and delivery of production-grade ML and generative AI systems that solve complex product and business problems at scale. You'll own architecture and implementation across data pipelines, feature stores, training workflows, model-serving infrastructure, online experimentation, and observability.<br><br>You'll drive advanced use cases across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and LLM applications, including RAG, tool use, evaluation harnesses, and safety controls. Your work will directly shape performance, reliability, latency, and cost efficiency in live environments. You’ll guide technical direction on topics such as model selection, distributed training and inference, GPU utilization, model compression, prompt and retrieval optimization, drift detection, retraining strategy, and responsible AI controls. You’ll mentor other engineers and turn best practices into reusable patterns and platform capabilities.<br><br><strong>What You Bring<br><br></strong><ul><li>You bring expert-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go, enabling you to build scalable, production-grade systems </li><li>You have deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems </li><li>You have extensive experience designing and operating end-to-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management </li><li>You bring strong hands-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit-learn), including fine-tuning, evaluation, orchestration, and model serving </li><li>You have practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails </li><li>You bring deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation </li><li>You have a strong architectural understanding of distributed systems, event-driven services, streaming data, and cloud-native ML platforms, with the ability to optimize for performance, scalability, reliability, and cost </li><li>You define robust evaluation and governance strategies, including offline benchmarking, online experimentation, hallucination analysis, model risk assessment, and responsible AI practices<br><br></li></ul><strong>About You<br><br></strong><ul><li>You bring 7-9+ years of experience in software engineering and machine learning, with a track record of leading and delivering complex, production-scale AI systems</li><li>You combine strong product judgment with technical depth, translating ambiguous business problems into scalable, high-impact AI solutions </li><li>You thrive in complex, fast-moving environments and bring clarity, ownership, and strategic thinking to drive long-term platform success<br><br></li></ul><strong>Where You Belong<br><br></strong>You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.<br><br>This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.<br><br><strong>About The Team<br><br></strong>We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.<br><br><strong>Bring out your best<br><br></strong>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.<br><br><strong>We win with inclusion<br><br></strong>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br><br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br><br>For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br><br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br><br>Successful candidates might be required to undergo a background verification with an external vendor.<br><br><strong>AI Usage in the Recruitment Process<br><br></strong>For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.<br><br>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br><br>Requisition ID: 450236 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:<br><br>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.</p><br><p>Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.</p><br><br><p><strong>Role Summary</strong></p><br><p><span>Property Finder is the leading property portal in the UAE and MENA, and one of the most visited Real Estate destinations in the region. Millions of people use it every month to find a home, and most of them arrive because the product itself brought them there. </span></p><br><p><span>We are looking for a Senior Product Manager to lead our product-led growth work: making the product easier to discover, faster to get value from, more rewarding to come back to, and something people want to share. You will lead a cross-functional squad, own the roadmap, and be accountable for the results. </span></p><br><p><span>This is a senior, hands-on role for a rare kind of generalist: someone with a quantitative mind, real depth across product, SEO, performance marketing, research, data and engineering, and the taste and presence to carry a growth story from a spreadsheet to the executive room. </span></p><br><p><span><strong>Key Responsibilities</strong></span></p><br><ul><li><p><span>Own and lead the product-led growth roadmap, from discovery to delivery to results. </span></p><br></li><li><p><span>Grow the product's organic reach: the pages, tools and content surfaces that make Property Finder the place people land when they search for anything to do with property, including through AI assistants. </span></p><br></li><li><p><span>Make the product shareable and viral. Build the moments people want to send to a partner, a friend or a colleague, and make sharing effortless. </span></p><br></li><li><p><span>Design first sessions that get new visitors to value quickly, and experiences that bring people back throughout their property journey. </span></p><br></li><li><p><span>Bring engagement and gamification into the product with taste: recognition, progress and reward that feel natural in a high-stakes decision like finding a home. </span></p><br></li><li><p><span>Turn user contributions into product: reviews, questions, opinions and local knowledge that make the product richer for everyone. </span></p><br></li><li><p><span>Run a disciplined experimentation programme: hypotheses, guardrails, clean reads and honest write-ups when a test loses. </span></p><br></li><li><p><span>Work hand in hand with performance marketing so paid and organic reinforce each other rather than compete. </span></p><br></li><li><p><span>Use AI as a working method, not a slide: research, analysis, prototyping, content and data workflows. </span></p><br></li><li><p><span>Lead the squad day to day: prioritisation, specs, experiments, readouts and shipped work. </span></p><br></li><li><p><span>Work closely with SEO, Data Science, Engineering, Design, Analytics and Marketing, and keep growth on the consumer side aligned with the business. </span></p><br></li><li><p><span>Communicate crisply with senior stakeholders and represent the growth story across the company. </span></p><br></li></ul><br><p><span><strong>Desired Experience</strong></span></p><br><ul><li><p><span>You have built products that grew on their own having spread through its own users and search, and you can explain what worked, what did not, and why. </span></p><br></li><li><p><span>Eight or more years in product, most of it on consumer products at scale, with at least three in a growth role where you owned the number. </span></p><br></li><li><p><span>Quantitative by training. A degree in mathematics, physics, engineering, computer science or a similar discipline, ideally with an MBA or comparable business education on top. </span></p><br></li><li><p><span>First principles reasoning and you are comfortable with models. </span></p><br></li><li><p><span>End to end knowledge. Discovery, user research, specs, prioritisation, experimentation and readouts. </span></p><br></li><li><p><span>You have designed and read A/B tests properly, including the messy ones with lag, seasonality and interference, and you know when not to trust a result. </span></p><br></li><li><p><span>Hands-on with SEO. Technical, content and off-page. </span></p><br></li><li><p><span>You have worked in Search Console and crawl data yourself, shipped templated pages at scale, and understand how search engines and AI assistants source and cite answers. </span></p><br></li><li><p><span>Deep understanding of performance marketing. Paid search, paid social and app campaigns: how they are bought, measured and attributed, and how they interact with organic. </span></p><br></li><li><p><span>User research. Interviews, surveys, usability sessions and behavioural analysis, and you know which one answers which question.</span></p><br></li><li><p><span>Strong with data. SQL and product analytics as a daily habit, statistics you can apply rather than recite, and dashboards you built yourself. </span></p><br></li><li><p><span>You can code and you speak engineering. Python or JavaScript well enough to pull data, prototype a feature or automate a workflow, and enough architecture to have a real conversation about trade-offs and effort. Engineers trust your judgement. </span></p><br></li><li><p><span>AI skills. You use LLMs and agents as a working method for research, analysis, prototyping and content, you have built or orchestrated agentic workflows, and you have a grounded view of where they help and where they hurt. </span></p><br></li><li><p><span>You can take a complex story to an executive room, hold attention, answer the hard question and leave with a decision. </span></p><br></li></ul><p><span><strong>Nice to have</strong></span></p><br><ul><li><p><span>Marketplace experience where you have worked on a two-sided product and know that growth on one side has consequences on the other. </span></p><br></li><li><p><span>Real Estate, classifieds or marketplace background in the UAE or GCC. </span></p><br></li><li><p><span>Experience with user-generated content, loyalty or gamification products, or App Store Optimisation. </span></p><br></li><li><p><span>Arabic language skills </span></p><br></li></ul><br><p><span><strong>Why this role</strong> </span></p><br><ul><li><p><span>Scale and stakes: millions of monthly users, the leading position in the market, and a mandate to extend it. </span></p><br></li><li><p><span>Real ownership: a squad, a roadmap and a budget conversation that are yours to shape. </span></p><br></li><li><p><span>A team that treats growth as a product discipline, not a marketing tactic, and works with data science and engineering as peers. </span></p><br></li><li><p><span>Direct exposure to the executive team, and a manager who expects you to disagree with him when the evidence says so.</span></p><br></li></ul><br><strong>Our promise to talent</strong><p>At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.</p><br><strong>Property Finder Guiding Principles</strong><ol><li><p>Think Future First</p><br></li><li><p>Data Beats Opinions, Speed Beats Perfection</p><br></li><li><p>Optimise for Impact</p><br></li><li><p>Act Like An Owner</p><br></li><li><p>The Biggest Risk is Taking no Risk at All</p><br></li></ol><br><br><br><br><br><br><br><strong>Find us at:</strong><br><br>TwitterFacebookInstagramLinkedinGlassdoor
<br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. </span></p><br> <p><strong>What you’ll build</strong></p><br>
<p>In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.</p><br>
<p>Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You’ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale.</p><br> <p><strong>What you bring:</strong></p><br>
<ul>
<li>You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs</li>
<li>You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems</li>
<li>You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference</li>
<li>You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics</li>
<li>You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines</li>
<li>You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases</li>
<li>You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores</li>
<li>You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li>
</ul> <p><strong>About You</strong></p><br>
<ul>
<li>You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production</li>
<li>You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions</li>
<li>You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready</li>
<li>You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li>
</ul> <p><strong>Where you belong:</strong></p><br>
<p>You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</p><br>
<p>This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</p><br> <p><strong>About the team</strong></p><br>
<p>We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.</p><br>
<p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. <br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br>
<p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br>
<p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 450237 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid<br></span></span></p><br>
</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
Job Summary: <br>
<p>We are building one of the region's most ambitious e-commerce platforms: high-traffic, multi-region, and engineered for scale. As a Backend Engineer, you will own critical systems that millions of customers depend on every day, from product discovery through to delivery.</p><br><br> Key Responsibilities: <br>
<ul>
<li><ul><li>Design and build Identity Services including authentication, authorization, session management, and SSO integrations using OAuth 2.0 and JWT</li><li>Develop and maintain account management APIs covering profile updates, preferences, address book, and communication settings</li><li>Build real-time order tracking services that aggregate status updates from warehouse, transport, and delivery systems into a unified customer view</li><li>Architect the refunds platform handling return eligibility, refund calculations, payment reversals, and wallet credits across multiple payment methods</li><li>Implement secure, performant APIs that protect customer PII while enabling personalized experiences</li><li>Drive cross-team coordination to ensure order lifecycle events flow seamlessly from checkout through delivery to post-order support</li><li>Maintain strong observability with structured logging, customer journey tracing, and alerting on degraded experiences</li><li>Own and deliver multi-quarter, multi-team product or platform goals, defining technical solutions that level up the entire team</li><li>Make independent technical decisions in the face of open-ended requirements, with a deep understanding of business context and customer needs</li><li>Drive cross-team or cross-discipline initiatives, optimizing beyond your immediate team for broader organizational impact</li><li>Design the software and systems in your area of ownership, ensuring they meet their design objectives and align with longer-term business needs</li><li>Handle complex software modules that are logically dense — whether from business, idempotence, robustness, or scalability requirements</li><li>Simplify code and infrastructure, prioritizing tasks that measurably reduce maintenance and migration costs</li><li>Preemptively identify and resolve technical risks before they jeopardize projects; resolve cross-team dependencies early</li><li>Debug and reproduce non-deterministic bugs and system issues that would normally escape less experienced engineers</li><li>Champion an AI-first engineering culture — actively adopt and advocate for AI tools and assistants to maximize productivity, accelerate delivery, and multiply your team's impact</li><li>Define the technical roadmap for complex projects, provide leadership for those executing on it, and generate excitement for the team's strategy</li><li>Set and hold the bar for quality and best practices via code and design reviews</li><li>Act as a Culture Leader — partner with your manager to set the cultural tone, foster psychological safety, and champion inclusive practices</li><li>Coach and mentor teammates, offering direct and actionable feedback delivered with empathy to help others grow into the next level</li><li>Represent mission, strategy, and technical challenges to candidates in a compelling way</li></ul></li>
</ul>
<br> Requirements: <br>
<ul>
<li><ul><li>Strong proficiency in at least one backend language: Python, Java, or Node.js, with deep understanding of language internals and performance characteristics</li><li>Proven track record of designing, building, and operating microservices architectures at scale in production</li><li>Deep experience with cloud platforms (GCP, AWS, or Azure) including architecture decisions, cost optimization, and multi-region deployments</li><li>Expert-level knowledge of containerization (Docker) and orchestration (Kubernetes) in production environments</li><li>Strong experience with CI/CD pipelines, deployment strategies (blue-green, canary), and automated quality gates</li><li>Advanced database skills: query optimization, sharding strategies, replication, and data modeling for high-throughput systems</li><li>Extensive experience with event-driven architectures and message brokers (Kafka, SQS/SNS, Pub/Sub) at scale</li><li>Deep understanding of caching layers (Redis, Memcached, CDN) and their role in system performance and reliability</li><li>Strong grasp of API security, OAuth 2.0, JWT, API gateway patterns, and WAF configurations</li><li>Domain experience in e-commerce, retail, logistics, supply chain, or similar high-traffic consumer platforms — you understand the business domain, not just the technology</li></ul></li>
</ul>
<br>
<br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><b><u><span><span>An Exhilarating
Opportunity</span></span></u></b><br></p><br><p><span><span>Are You Ready for
a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by
Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and
Setting the Gold Standard across the Industry.</span></span><br></p><br><p><span><span>Join the FIVE
Tribe - and Get Ready to Make Waves.</span></span></p><br><p><b><u><span><span><span>The Candidate</span></span></span></u></b></p><br><p><span><span>A Driven Self-Starter,
you have Excellent Communication, Leadership and Organisational Skills. As an
Astute Creative and Critical Thinker, you can Conceptualise and Implement
Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes
Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A
‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes
You a Highly Motivated Go-Getter.</span></span></p><br><p><span><span>Your Outgoing and
Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and
key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short
of Sensational. Joining our Holdings Team
as Senior Backend Developer will Empower you to deliver Exceptional Experiences across our
award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential
in a Buzzing Environment that will take your Career to New Heights!</span></span></p><br><p><b><u><span><span>What We’re Looking For</span></span></u></b></p><br><ul><li><span><span><span>Bachelor’s degree in computer science, Information Technology, or
related field (master’s preferred).</span></span></span></li><li><span><span><span>Minimum of 5-7 years of backend development experience.</span></span></span></li><li><span><span><span>Proficiency in backend technologies such as Node.js, Python, Java,
or Ruby on Rails.</span></span></span></li><li><span><span><span>Experience with databases such as MySQL, PostgreSQL, or MongoDB.</span></span></span></li><li><span><span><span>Strong knowledge of API design and development, including RESTful
and GraphQL.</span></span></span></li><li><span><span><span>Experience with cloud services such as AWS, Google Cloud, or
Azure.</span></span></span></li><li><span><span><span>Expertise in implementing database security and code security to
prevent hacking, SQL injection, and other cyber threats.</span></span></span></li><li><span><span><span>Familiarity with security best practices including encryption,
authentication, and access control.</span></span></span></li><li><span><span><span>Experience in identifying and mitigating vulnerabilities, and
ensuring systems are secure by design.</span></span></span></li><li><span><span><span>Knowledge of version control systems like Git.</span></span></span></li><li><span><span><span>Experience with CI/CD pipelines and automated testing frameworks.</span></span></span></li><li><span><span><span>Ability to work in a fast-paced, agile environment and manage
multiple priorities.</span></span></span></li><li><span><span><span>Experience in microservices architecture.</span></span></span></li><li><span><span><span>Familiarity with DevOps practices and tools like Docker,
Kubernetes.</span></span></span></li><li><span><span><span>Previous experience in the real estate or hospitality sectors is a
plus.</span></span></span></li><li><span><span><span>Knowledge of security best practices and data protection.</span></span></span><br></li></ul><p><b><u><span><span>Key
Responsibilities</span></span></u></b></p><br><ul><li><span><span><span>Lead
the design, development, and maintenance of robust backend systems and
services.</span></span></span></li><li><span><span><span>Manage
and mentor a team of 4 developers, providing technical direction, support, and
performance feedback.</span></span></span></li><li><span><span><span>Collaborate
closely with front-end developers, UX/UI designers, and the Digital
Transformation team to deliver high-quality digital solutions.</span></span></span></li><li><span><span><span>Optimize
application performance, ensuring responsiveness and scalability of server-side
logic.</span></span></span></li><li><span><span><span>Integrate
with third-party APIs and develop RESTful services.</span></span></span></li><li><span><span><span>Write
clean, scalable, and well-documented code, adhering to best practices and
industry standards.</span></span></span></li><li><span><span><span>Conduct
code reviews, mentor junior developers, and provide technical guidance to the
team.</span></span></span></li><li><span><span><span>Manage
and optimize databases, ensuring data security, integrity, and performance.</span></span></span></li><li><span><span><span>Implement
database and code security practices to prevent cyber threats such as hacking
and SQL injection.</span></span></span></li><li><span><span><span>Identify
technical challenges and devise innovative solutions for continuous
improvement.</span></span></span></li><li><span><span><span>Participate
in the architecture design of digital products and solutions.</span></span></span></li><li><span><span><span>Stay
updated with the latest technologies and industry trends, recommending and
implementing relevant updates.</span></span></span></li></ul><p><b><u><span><span><span>The Team</span></span></span></u></b><br></p><br><p><span><span>‘FIVERs’ are Cultured
yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe
Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create
Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded
Individuals who share your Passion for Delivering Unforgettable Moments that
last a Lifetime – then Look No Further and Unleash your Next-Level Potential.</span></span><br></p><br><p><b><u><span><span>Sustainable Indulgence
at FIVE</span></span></u></b></p><br><p><span><span>FIVE is a leader in Sustainable Luxury Living
and Hospitality, with its UAE-based Destinations being the first and only Hotels
in the UAE to obtain the International Renewable Energy Certificates (I-REC)
for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled
‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified
operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village
are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED
Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's
BD+C and ID+C rating system, making it one of just five hotels worldwide to
receive Platinum Certification. FIVE illustrates its Commitment to making
‘Sustainability without Compromise on Luxury Living’ central to its Future Vision,
with</span><span>FIVE LUXE already
on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive
and Committed Scope of Sustainability Strategy permeating Operations, Governance
and Community.</span></span></p><br><p><b><u><span><span><span><span>An Equal
Opportunity Employer</span></span></span></span></u></b></p><br><p><span><span><span><span>The FIVE
Tribe represents over 70 nationalities across its over 1500 ‘FIVERs’. FIVE is Committed
to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer.
Accordingly, FIVE does not discriminate based on disability, race, age, sex,
gender, sexual orientation, ethnicity, religion or belief, nationality, marital
status, or any other basis protected under national or local laws. Ranked 10th
on the Great Workplaces in the UAE 2023 list of Large Organisations, the FIVE
Tribe is more than a group of people working together – it is a Family bonded
by common Values and Goals, Celebrating People, Culture and Diversity. </span></span></span></span></p><br><p><b><u><span><span><span>About FIVE Hotels and Resorts</span></span></span></u></b></p><br><p><span><span>FIVE Hotels and
Resorts prides itself on being Disruptively Different and Daringly Unique. Our
Growing Portfolio of Lavish Destinations are the epitome of Glamour and
Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE
Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe
means you are part of a team who Breaks Boundaries and offers Unbeatable
Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and
360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe,
you will be part of a group of High Achievers who Fearlessly Challenge
Conventions on a Global Stage.</span></span><br></p><br><p><span><span>Find out more
here: fivehotelsandresorts.com</span></span></p><br><p><b><u><span><span>About FIVE
Holdings</span></span></u></b></p><br><p><span><span>FIVE Holdings is
a vertically integrated Group, and its current Portfolio includes 3 luxury
hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a
hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El
Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE
Mode and The Pacha Collection in the UAE and Spain; as well as a range of
assets that include Toy Room, and WooMoon Storytellers (Globally).</span></span><br></p><br><p><span><span>FIVE’s focus is
on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of
immersive entertainment with homegrown F&B concepts that results in a
distinctive guest experience for an international and affluent audience of
luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of
FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR
being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than
their respective competitor sets in Dubai for 2023.</span></span><br></p><br><p><span><span>Find out more here: </span></span><span><span><span>fiveglobalholdings.com</span></span></span><br></p><br><br> </div>