Ship Mechanic Jobs
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<p>ABOUT XANTORY</p><p><br></p><p>Xantory runs a vertical-farming control platform that plans, drives and records every crop cycle: climate, light, irrigation and dosing across rooms and racks, from a cloud planning tier down to controllers on the racks. Every reading, every relay switch, every recorded stage boundary and every harvest is stored. What the platform cannot do yet is see the plants.</p><p>As the first machine-learning engineer on the team, the Machine Learning Engineer – Computer Vision will build that capability: cameras on the racks, models that read the crop, and the pipeline that turns what they see into alerts, records and control decisions. The role will also put the sensor and outcome data already collected to work, and will be measured on what runs in production in front of real crops.</p><p><br></p><p>Role Overview</p><p><br></p><p>You will own the work end to end. That starts with specifying the imaging setup and building our first labelled datasets on site, then training models for plant counting, growth stages, stress and disease, and harvest readiness, and deploying them at the edge and on the site server. You will also combine vision results with the sensor and yield data we already collect to compare growing recipes on evidence. This is a hands-on, production-focused role based in Dubai with regular on-site farm work. Success is measured by what runs reliably in front of real crops.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Computer Vision (Core of the Role)</p><ul><li>Specify the imaging setup for racks and trays: camera selection and placement, lighting under grow-light spectra, capture schedule, and the image and annotation standards that make a dataset trustworthy.</li><li>Build the farm's first labelled image datasets from our own crops, starting with data collection on site.</li><li>Train and deploy models for plant detection and counting, germination and growth-stage recognition, canopy coverage, stress and disease indication, and harvest readiness.</li><li>Choose the right approach per problem (classification, detection, segmentation, anomaly detection) and prove it with evaluation that holds up on new crops and new racks.</li><li>Deploy inference at the edge (Raspberry Pi-class devices today, Jetson-class where justified) and on the site server, balancing accuracy, latency and hardware limits.</li></ul><p>2. Sensor & Outcome Data</p><ul><li>Combine what the cameras see with time-series data (temperature, humidity, CO₂, PPFD, pH, EC, flow, actuator history, recorded stage boundaries and yields) to explain outcomes against the recipe.</li><li>Model cycle length and yield per rack against growing recipes and compare recipes based on evidence.</li></ul><p>3. Integration & Operation</p><ul><li>Ship models as services that fit the platform, including Rust, PostgreSQL and Redpanda for data, Kubernetes for deployment, and results surfaced in Sentinel.</li><li>Version datasets, experiments and models; monitor model performance and degradation; retrain on production feedback.</li><li>Define the data contracts your models consume with backend, edge and console engineers.</li></ul><p><br></p><p>Qualifications & Experience</p><p><br></p><ul><li>4 years of hands-on computer vision experience with PyTorch or TensorFlow, including at least one vision system taken from your own data collection and kept running.</li><li>Experience building image datasets from scratch, including quality control, class balance, and the honest handling of small and shifting datasets.</li><li>Practical experience with cameras and video pipelines, including exposure, colour under artificial light, and calibration.</li><li>Exposure to horticulture, controlled-environment agriculture (CEA), plant phenotyping or industrial quality inspection is an advantage.</li><li>Experience with multispectral or NIR imaging is an advantage.</li></ul><p><br></p><p>Skills & Competencies</p><p><br></p><ul><li>Solid Python and ML fundamentals, including leakage-safe validation.</li><li>Comfortable in a production engineering environment: Git, code review, tests, containers, and working against services others own.</li><li>Edge inference experience (ONNX, TensorRT, NVIDIA Jetson, Raspberry Pi deployments) is an advantage.</li><li>Familiarity with MLOps tooling (experiment tracking, model registry and monitoring) is an advantage.</li><li>Knowledge of Rust or Go, MQTT and Kubernetes is an advantage.</li><li>Clear written and spoken English; able to explain a model's limits to a grower and its interface to a backend engineer.</li></ul><p><br></p><p>How Success Will Be Measured</p><p><br></p><ul><li><strong>Production deployment:</strong> Number of vision models running in production on live racks, and time from data collection to first deployment.</li><li><strong>Model accuracy:</strong> Detection, counting and growth-stage accuracy validated on new crops and new racks, not only the training set.</li><li><strong>Edge performance:</strong> Inference latency, uptime and resource use on Raspberry Pi / Jetson-class devices and the site server.</li><li><strong>Dataset quality:</strong> Coverage of labelled datasets across crops and growth stages, annotation consistency and class balance.</li><li><strong>Model health:</strong> Detection of performance degradation and time to retrain on production feedback.</li><li><strong>Operational impact:</strong> Alerts and records adopted by growers, and yield / cycle-length insights used in recipe decisions.</li></ul><p><br></p><p>Work Location: In person</p>
<strong>About Ode With Anthropic<br><br></strong>How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?<br><br>Anthropic is defining frontier AI. Ode is the team bringing frontier AI into practice.<br><br>We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed. As Anthropic’s services venture, we tackle the hardest, most consequential AI problems for companies with real stakes, working closely with their Applied AI and Product teams to turn frontier technology into real world impact.<br><br>We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital.<br><br>We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai.<br><br><strong>About The Role<br><br></strong>This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code.<br><br>You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard.<br><br>You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs.<br><br>Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.<br><br><strong>What You Bring<br><br></strong><ul><li>8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines.</li><li>Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.</li><li>Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.</li><li>High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.</li><li>Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team.<br><br></li></ul><strong>Our Engineering Philosophy<br><br></strong>We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.<br><br>After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.<br><br><strong>How Ode Is Different<br><br></strong>A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.<br><br>Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think.<br><br><strong>Our Values<br><br></strong><ul><li>Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team.</li><li>Overuse AI: We obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with our teammates.</li><li>Over”engineer” the Culture: We’re building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders.<br><br></li></ul><strong>Location<br><br></strong><strong>UAE<br><br></strong>Work Arrangement: 4 days in-person, Fridays remote<br><br><strong>Benefits<br><br></strong><ul><li> Competitive Compensation Package: Attractive salary aligned with your experience and skills.</li><li> Unlimited PTO: Take the time you need to relax and rejuvenate.</li><li> Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy</li><li> Team Events and Activities: Regular events to build camaraderie and a strong team spirit.</li><li> Visa sponsorship<br><br></li></ul><strong>Ready to join us?</strong>
Our Mission<br><br>Rebuild how the world works, to make institutions work better for the people they serve.<br><br><strong>About Brain Co.<br><br></strong>Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.<br><br>Why Now<br><br>Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.<br><br>Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.<br><br>You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.<br><br><strong>About The Role<br><br></strong>As an AI Product Engineer, Deployed at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.<br><br><strong>In This Role, You Will<br><br></strong><ul><li>Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.</li><li>Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.</li><li>Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.</li><li>Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.</li><li>Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.<br><br></li></ul><strong>You Might Thrive In This Role If You<br><br></strong><ul><li>Minimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zero</li><li>Experience with front-end and back-end technologies, microservices, and cloud platforms</li><li>Experience with modern web tooling such as React, Typescript, RESTful APIs, and database management systems</li><li>Possess a strong foundation in software design principles, data structures, and algorithms</li><li>Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges</li><li>Enjoy working collaboratively with cross-functional teams</li><li>Thrive in fast-paced environments where priorities or deadlines may compete.</li><li>Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done</li><li>Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field<br><br></li></ul><strong>Nice To Have<br><br></strong><ul><li>Experience working on on-site engineering projects or in client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer)</li><li>Knowledge of Arabic or other regional languages is a plus.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Competitive salary</li><li>Paid Maternity and Paternity Leave</li><li>Daily Lunches</li><li>Commuter benefits</li><li>Unlimited PTO<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Ship quickly, iterate constantly and see your work deployed at global scale</li><li>Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>Accelerate your career with ownership based on impact, not tenure</li><li>Earn competitive compensation + meaningful equity in a high-growth company</li><li>Thrive in a culture built on speed, curiosity, and impact<br><br></li></ul><em>If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.</em>
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<span>Purpose of the Job
<br></span><p>Build the analytical engine of the Revenue Management function across GCC and India by converting customer, shipment, revenue, margin and commercial data into actionable pricing insight, repeatable models and efficient Microsoft Office-based tools. The role will develop practical MVPs, automate recurring analysis and provide fact-based recommendations that improve price realization, profitability and commercial decision-making.</p><br><br>Job Description
<br><p>Pricing analytics & performance insight<br>• Analyze customer, shipment, revenue, price, margin and operational datasets to identify price dispersion, profitability gaps, leakage and repricing opportunities.<br>• Develop repeatable views of yield, price realization, customer and lane economics, surcharge performance and commercial trends.<br>• Translate analysis into prioritized business actions, quantified opportunity sizes and concise recommendations for management.<br>Annual price management / GRI analytics<br>• Build and maintain an analytical GRI / annual price review cockpit covering addressable revenue, customer targets, negotiated increases, implementation status and realized like-for-like uplift.<br>• Develop customer-level target models using transparent internal factors such as profitability, contract history, shipment profile, prior price movement and approved commercial criteria.<br>• Create controls to distinguish nominal price actions from actual realized improvement and flag missed, delayed or under-realized increases.<br>Customer segmentation & ship-to-profile<br>• Develop practical customer segmentation and pricing archetypes using revenue, volume, profitability, product mix, shipment profile, service complexity and other relevant variables.<br>• Compare actual shipment behaviour with contracted or assumed profiles and flag material deviations in volume, weight, dimensions, lane mix, service mix, surcharge exposure or other cost drivers.<br>• Quantify the commercial impact of profile deviations and support repricing, surcharge activation or account-review decisions.<br>Pricing tools & MVP development<br>• Build robust Excel-based MVPs for GRI, customer profitability, surcharge leakage, tender support, price corridors, segmentation, exception monitoring and account review.<br>• Design models with clear inputs, controls, documentation and refresh logic so they can be operated reliably by the wider Revenue Management team.<br>• Standardize source files, calculation logic and output formats to reduce dependency on manual copy/paste processes.<br>Automation & data quality<br>• Use Microsoft 365 capabilities to automate data ingestion, cleaning, transformation, reconciliation and recurring reporting wherever practical.<br>• Establish data-quality checks, version control and auditability for key Revenue Management outputs.<br>• Document data requirements and analytical logic so proven MVPs can later be translated into enterprise systems or Heartbeat requirements.<br>Management information & decision support<br>• Produce concise dashboards and management views for the Revenue Management Manager, Director GCC & India and country stakeholders.<br>• Support strategic pricing and tender cases with fact-based analysis, scenario modelling and sensitivity testing.<br>• Communicate analytical findings in commercial language, clearly separating observation, hypothesis, financial impact and recommended action.</p><br><br>Job Requirements - Experience and Education
<br><p>• Bachelor’s degree in Finance, Economics, Business Analytics, Engineering, Mathematics, Statistics, Supply Chain or a related quantitative discipline.<br>• Typically 3–6 years of relevant experience in pricing analytics, revenue management, commercial analytics, business intelligence, commercial finance or a similar analytical role.<br>• Experience analysing large transactional datasets and turning them into commercial recommendations is essential.<br>• Logistics / transportation experience is advantageous but not mandatory; candidates from other data-intensive pricing environments are welcome.<br>• Fluent business English; ability to present analytical conclusions clearly to non-technical stakeholders is essential.<br>• Advanced-to-expert Microsoft Excel is critical, including PivotTables, XLOOKUP / INDEX-MATCH, SUMIFS / COUNTIFS, dynamic arrays, structured tables, data validation, error controls and scenario modelling.<br>• Strong Power Query capability is a priority: importing, cleaning, merging, appending, unpivoting and refreshing multiple recurring data sources.<br>• Strong working knowledge of the Excel Data Model / Power Pivot and relational data concepts; basic DAX is highly desirable.<br>• Power Automate and/or Office Scripts experience is desirable for recurring workflow automation; VBA is useful but not a primary requirement.<br>• SQL knowledge is a strong advantage because it demonstrates comfort with tables, joins, keys, aggregation and data granularity, even if SQL is not immediately available in the current environment.<br>• Python or R is a nice-to-have rather than a requirement; priority is given to solutions that can be operated reliably within the approved Microsoft Office environment.</p><br><br>Leadership Behaviors
<br>Simplification<br>Collaborate & break silos<br>Execution & Accountability<br>Growth mindset<br>Innovation<br>Inclusion<br>External focus<br>Skills
<br>Automation<br>Revenue Management<br>Strategies of Pricing<br>
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<strong>About The Role -<br><br></strong>We are looking for a <strong>Product Owner</strong> to own the product roadmap and backlog for the UniqPay platform: acquiring, payouts, currency conversion, and risk. You decide what gets built, in what order, and why. You are the voice of the merchant, the acquirer, and the regulator inside our engineering process, and the single owner of scope and acceptance for every sprint.<br><br>As Product Owner you sit between Engineering, Compliance, Operations, and Sales. You turn merchant demand, partner constraints, and regulatory obligations into a single prioritised roadmap, write the specifications that engineers build from, and carry what you learn at launch back into the next release. Because our merchants are in regulated industries operating across many countries, prior hands-on product experience in these verticals across international markets is mandatory, not preferred.<br><br><strong>What You Will Do -<br><br></strong><ul><li>Own the roadmap: Maintain the product roadmap for acquiring, payouts, FX, and risk, balancing merchant demand, commercial priority, technical debt, and regulatory obligation.</li><li>Run the backlog: Write clear, testable user stories and acceptance criteria that cover payment edge cases: declines, retries, cascading, chargebacks, partial settlements, and FX.</li><li>Ship every sprint: Lead sprint planning, refinement, and review; act as the single decision maker on scope and acceptance; track delivery and make trade offs early.</li><li>Design for the regulator: Turn licensing conditions, KYC and KYB rules, AML monitoring, data residency, and scheme requirements into product requirements for each jurisdiction, and re-scope the backlog when the rules change.</li><li>Know the verticals: Run structured discovery with regulated merchants and with acquiring and banking partners, and build market by market knowledge of local payment methods and settlement rails.</li><li>Own the integrations: Lead the product side of PSP, acquirer, and merchant integrations: API specifications, timelines, and channel configuration.</li><li>Measure what matters: Define and track approval rates, latency, settlement accuracy, onboarding time to live, and merchant retention, and use them to steer prioritisation.</li><li>Close the loop: Run launch readiness and post launch and post incident reviews, and convert every lesson into a backlog item or a process change.<br><br></li></ul><strong>Who You Are -<br><br></strong><ul><li>Experience: 4 to 6 years in product ownership or product management, including at least 2 years shipping payments or fintech products for iGaming, Crypto, or FX merchants across international markets. This is a hard requirement.</li><li>Vertical knowledge: You understand how these merchants make money and lose it: cascading and approval rates, on and off ramp flows and settlement and margin dynamics in specific regulated industries.</li><li>Regulatory fluency: Direct experience applying licensing, KYC and KYB, AML, data residency, and card scheme rules in product design across more than one jurisdiction.</li><li>Delivery discipline: Hands on ownership of an agile backlog: writing stories, running ceremonies, and being accountable for sprint outcomes.</li><li>Technical depth: Comfortable working with engineers on API driven products and third party integrations, and able to read a sequence diagram or an API log without help.</li><li>Judgement: You say no clearly and often, and can explain a prioritisation call to a founder, a compliance officer, and an engineer in the same meeting.</li><li>Education: A bachelor degree in Business, Computer Science, Finance, or a related field preferred. CSPO, PSPO, or equivalent is a plus.<br><br></li></ul><strong>Bonus points if -<br><br></strong><ul><li>You have sat across the table from a regulator, an auditor, or a card scheme during a licence application, audit, or review.</li><li>You have launched a product into a new country or corridor and dealt with the local payment methods and rules that came with it.</li><li>You have built the product function at an early stage company where the process did not exist yet.<br><br></li></ul><strong>Where this role goes -<br><br></strong>The Product Owner seat is the proving ground for the Product Manager role. Show that you can run the roadmap, keep the platform compliant across markets, and think a level up, and the path to leading the wider product function is direct.<br><br><strong>What Is Next -<br><br></strong>We aim to reply to every application within three business days, and our interview process usually takes around three to four weeks. It is a short, practical process: a real conversation, an exercise that looks like the actual job rather than a brain teaser, and time with the people you would work beside, founders included. Tell us if you need more flexibility at any stage.<br><br><strong>Our Take On Who Belongs Here -<br><br></strong>Our team has a vision that spans several nationalities, time zones, and payment traditions, and we think that is exactly why we will make good calls in cross border payments. Whoever you are and wherever you are from, you are welcome to be yourself here.
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<p><span>Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.</span><br><span>Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.</span></p><br><p><span><strong><em>We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.</em></strong></span></p><br><br><p><strong>About The Role:&nbsp;<br></strong><br>Careem’s design system underpins every product experience across the super app, including rides, food, groceries, payments and beyond. We’re looking for a Design System Lead to own its evolution through its next chapter: one where the system serves not only designers and engineers, but AI agents that consume, generate and assemble design.This is a hands-on senior IC role for someone who is both a rigorous systems designer and a capable AI tool-builder. You’ll govern the token architecture, component library and documentation that keep a multi-vertical platform coherent, and you’ll use AI to make the system faster to maintain, easier to adopt and smarter to build with.&nbsp;</p><br>What You’ll Do<p>Own the Design System</p><br><ul><li>Own the lifecycle of Design System’s tokens, components, and patterns: from inception through shipping, iteration, and deprecation.</li><li>Define and enforce standards for color, type, spacing, and interaction across platforms (iOS, Android, web) and locales, including RTL/Arabic.</li><li>Resolve ambiguity regarding organizational ownership and responsibilities by maintaining a clear, intentional token architecture.</li><li>Establish and maintain comprehensive documentation, specifically addressing identified needs for detailing appropriate guidance to ensure cross-component consistency.</li><li>Champion accessibility (WCAG) as a system-level guarantee and manage the backlog with product and engineering partners.</li></ul><p>Make the System AI-native</p><br><ul><li>Structure tokens and components so agentic design-to-code and prompt-to-design workflows produce on-system output.</li><li>Build and maintain Code Connect mappings, MCP integrations, and structured component metadata.</li><li>Implement AI-assisted audits and linting to catch off-system usage and token misuse before they ship.</li><li>Use AI to keep documentation verified and versioned alongside the components it describes.</li><li>Prototype Figma plugins and agent workflows to remove repetitive tasks for the wider design team.</li></ul><p>Drive Adoption and Enablement</p><br><ul><li>&nbsp;Articulate the system’s value in efficiency and quality to stakeholders ranging from ICs to executives.</li><li>Facilitate design system guilds and critiques, and synthesize cross-vertical feedback into prioritized improvements.</li><li>Raise the organization's AI proficiency through workshops and training material.</li></ul><p>Partner and Influence</p><br><ul><li>&nbsp;Work closely with engineering to translate design patterns into deployable components, ensuring technical feasibility.</li><li>Apply judgment to manage component bloat; for example, maintaining separate architectures (like Quick cards) when merging variants creates excessive technical complexity.</li><li>Collaborate with stakeholders to align on design system goals and product strategy.</li></ul>What You'll Need:<ul><li>5+ years experience in product design, with at least 3 years dedicated to design systems at scale (ideally, multi-brand or super-app environments).</li><li>Advanced knowledge of variables, token architecture, component APIs, library management, and branching.</li><li>Demonstrated experience building real workflows with LLMs and agentic tools (e.g., Figma Plugin API, MCP-based integrations, or prompt design).</li><li>Ability to prototype in JavaScript/TypeScript, JSON, and manage design token pipelines.</li><li>Ability to distinguish semantic intent from value coincidence and manage complexity through unification.</li><li>Excellent English writing and presentation skills.</li></ul>Bonus Points<ul><li>Experience with RTL/Arabic-first products or the Middle East market.</li><li>Experience with production design-to-code pipelines (Code Connect, token transformation).</li><li>Active participation in the AI × design community (open-source contributions, speaking, or writing).</li></ul><p><strong>What we’ll provide you</strong></p><br><p>We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:</p><br><ul><li>Work and learn from great minds by joining a community of inspiring colleagues.</li><li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li><li>Explore new opportunities to learn and grow every day.</li><li>Work remotely from any country in the world for 30 days a year with unlimited vacation days per year.</li><li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul><p>&nbsp;</p><br> </div>
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Company Description<br><p>Working at Boskalis is about creating new horizons and sustainable solutions. In a world where population growth, an increase of global trade, demand for (new) energy and climate change are driving forces, we challenge you to make your mark in finding innovative and relevant solutions for complex infrastructural and marine projects. </p><br><p>Within a vibrant company culture, you will be working as part of a diverse, international team of experts. We offer you the opportunity to realize your full personal potential and expand your professional career by creating new horizons. Together!</p><br><br>Job Description<br><p>You will make your mark by strengthening the competence, safety, and performance of our deck key crew through our state of the art simulator, targeted training and induction programs, and continuous improvement of development plans. In this role, you will help identify and prepare qualified Masters, Chief Officers, and Chief Engineers for appointment, support career progression of high-potential crew, and use feedback, audits, fleet visits, sea trials, and performance reporting to enhance training effectiveness, operational standards, and compliance across the fleet.</p><br><p>You will work at Boskalis office in Abu Dhabi while managing vessels owned by Smit Lamnalco, part of the Boskalis group. Smit Lamnalco provides tailored marine services to customers around the world, combining expertise, teamwork, and a strong focus on delivering reliable support in every environment.</p><br><p><strong>Your responsibilities as a </strong><strong>Training Superintendent</strong></p><br><ul><li>Lead and conduct simulator assessments for deck key crew to support selection, appointment, and performance improvement.</li><li>Develop, implement, and continuously improve training, assessment, and induction programs in line with SLIMS and operational needs.</li><li>Advice on crew capability, identify high-potential talent, and support promotion and CoC upgrade pathways.</li><li>Monitor and report on vessel and crew performance, using feedback from internal and external stakeholders to strengthen training plans.</li><li>Support operational excellence and compliance through vessel audits, advise internal customers on vessel technology and ship handling, fleet visits, and participation in sea trials.</li></ul><p><strong>Your qualities </strong></p><br><p>You can make your mark as a Training Superintendent if you have:</p><br><ul><li>Higher professional education, supported by a Master’s certificate and a train-the-trainer qualification.</li><li>4–6 years of relevant off shore experience in maritime operations, training, or a related field.</li><li>Strong knowledge of STCW, Flag State and Port State legislation, with solid understanding of vessel operations and marine terminal operations.</li><li>Ability to work effectively with internal stakeholders such as Operations, Technical and Crew, as well as external parties including training centres, agencies, client representatives and crew.</li><li>Strong commitment to safe and healthy working practices, with awareness of job-related risks and the responsibility to escalate unsafe situations appropriately.</li></ul><br>Qualifications<br><p><strong>What you can expect </strong></p><br><ul><li><u>Career opportunities:</u> We challenge you every day to get better. Together we realize your full personal and professional career by creating development opportunities.</li><li><u>Warm welcome: </u>We warmly welcome our new colleagues, so they feel at home as soon as possible. During your online onboarding program, we give you all the ins and outs of Boskalis!</li><li><u>Career development: </u>Plenty of opportunities to realize your full potential. Challenge yourself with (online) courses in our Boskalis academy.</li></ul><p><strong>Extra information </strong></p><br><ul><li><u>Your team:</u> You will be part of the Smit Lamnalco crewing team based in Abu Dhabi..</li><li><u>Full/part-time job:</u> The position of Training Superintendent is a full-time job.</li><li><u>Procedure:</u> All you need to do to apply for a job is to complete the online application form and send it to us along with your CV and cover letter. As soon as you have sent your application, you will receive a confirmation email. Depending on the job, we will invite you for two or more interviews via Microsoft Teams or at our office. If both sides are happy to proceed after interviews, we will make you an offer to join Boskalis. After successfully completing all the steps in the procedure, we warmly welcome you to our organization. </li></ul><br>Additional Information<br><p>We’ll be happy to answer your questions about the position of Training Superintendent. Please contact Catherine Buenaagua, corporate recruiter via our careers page.</p><br><p><strong>Interested?</strong> Please apply by filling in your details and by uploading your cover letter and CV on our careers site. </p><br><p><strong><em>Disclaimer for recruitment and selection agencies </em></strong></p><br><p>We appreciate your interest in our vacancies and understand that your candidate might be enthusiastic about this exciting opportunity. However, our recruitment process is not structured this way, at Boskalis we handle recruitment ourselves. Therefore we do not accept unsolicited applications or CVs from recruitment agencies. Any submission will be treated as a direct application.</p><br><p><em>Please note: Boskalis never requests a financial contribution to arrange visas or other documents related to a job vacancy. Be wary of individuals who pretend to be our recruiters and do ask for such contributions.</em></p><br><br><br> </div>
About Us<br><br>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.<br><br>Purpose<br><br>Procurement Manager will help developing integrated Procurement related plans and procedures supporting organizational strategies. The role will require managing and control Procurement Process and Execution within PTS projects, providing support and expertise to help achieve organizational goals and objectives.<br><br>Procurement Manager will be managing procurement team and monitor and control Contractor’s Procurement and Subcontracting activities, to ensure that these are performed in a timely and quality manners, in accordance with the Agreement and approved procedural requirements.<br><br>Accountabilities & Responsibilities<br><br>Roles and responsibilities of Procurement Manager will cover (but not be limited to) the following:<br><br>Prepare internal Procurement related plans and procedures (if required). Ensure that CONTRACTOR timely develops and submits its Project related Procurement & Subcontracting Plans and Procedures in accordance with the requirements of the AGREEMENT. This would include (but may not be limited to) Procurement Plan, Purchasing Procedure, Expediting & Inspection Procedure, Shipping & Packing Procedure, Traffic & Shipping Procedure, Spare Parts Procedure and Site Material Management Procedure. Review and approve CONTRACTOR’s Procurement & Subcontracting related Plans and Procedures Review CONTRACTOR’s Procurement Organisation Chart and ensure that adequate and sufficient resources have been assigned by CONTRACTOR to guarantee proper functioning of its Procurement Department (this includes Purchasing, Expediting, Inspection, Shipping and Spare Parts teams). Monitor and ensure that CONTRACTOR complies with its obligations under the AGREEMENT with regards to Procurement and Subcontracting. Monitor and ensure that CONTRACTOR performs its Procurement and Subcontracting activities in line with requirements set in the AGREEMENT and within timelines set by the Project’s schedule (including but not limited to issuance of plans, procedures, enquiries, Technical Bid Evaluations, Award Recommendations, placing Purchase Orders and Subcontracts, performing expediting, inspection and shipping activities, submitting duty exemption requests, progress reports, etc). Monitor and ensure that CONTRACTOR maintains and submits its most updated Procurement Reports, such as Bid Inquiry Status Report (BISR), Procurement Service Register (PSR), Inspection & Expediting Report, Shipping Status Report and Spare Parts Status Report. Timely review and process CONTRACTOR’s Technical Bid Evaluations, Award Recommendations, Vendors’ Prequalification Requests, Duty Exemption Requests, Letters of Assistance and any other Procurement and Subcontracting related letters. Prepare and process COMPANY’s position papers, analysis, approvals, records and control documents on Procurement and Subcontracting related matters. Actively cooperate with other team members from Engineering, Construction, Project Control, Project Management and other parties to secure common Project and organizational goals. Develop and maintain own status reports on Procurement and Subcontracting. Provide advice and recommend solutions / improvements on any Procurement / Subcontracts related matters to the best interest of COMPANY. Contribute in achieving project’s schedule goals by ensuring that all CONTRACTOR’s related documents are reviewed and approved (wherever applicable) in a timely manner. Monitor and control CONTRACTOR’s post order placement activities (expediting and shipping). Keep Management aware of any risks associated with Procurement and provide mitigations and execution plan to avoid/minimize such risks. Provide regular update on Procurement status. Work on daily basis with CONTRACTOR’s Procurement team to ensure proper communication with COMPANY on any Procurement related matters. Overall overview of procurement department.<br><br>Qualifications, Experience, Knowledge & Skills<br><br>Minimum Qualification<br><br>4 years Bachelor Engineering Degree. Very good command of English language – spoken & written.<br><br>Minimum Experience & Knowledge & Skills<br><br>Minimum 20 years of work experience with FEED/ EPC Project.5+ years of GCC/ ADNOC experience is preferred. Minimum 5+ years of work experience in similar position for International Oil & Gas project. Experienced in working on large and mega projects with international and multicultural teams. Experience gained in Petrochemical and Oil & Gas Industries will be welcomed. Very good knowledge of all Procurement related aspects. Independent in executing all Procurement given tasks and responsibilities. Able to quickly process any Procurement related tasks assigned. Able to guide, lead and advice on any Procurement related matter. Task driven person, able to successfully interact with all team members of Client, PMC, Contractor and EPC. Very good communication and interpersonal skills. Proven ability to work as an effective team player. A bachelor's degree in any/relevant Engineering (i.e. Mechanical, Electrical, Civil, Environmental, Chemical, Computer, Software, Electronic, Marine, Ship Cpatain, etc.) or equivalent from an accredited university with minimum twenty (20+) years of relevant experience in the Oil & Gas or Petrochemical industry, including minimum (5) years (preferred) in GCC region. Must have at least five (5) years of experience in similar position for international Oil & Gas or Petrochemical projects. <br><br>Moving forward together<br><br>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.<br><br>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.<br><br>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.
<h2 class="h5">Job description</h2>
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Job description
<p></p><br><p><b>Discover the Opportunity</b></p><br><p>A large, well-resourced organization is building AI-native products from the ground up - reimagining how tens of thousands We're looking for a Head of Product to own the vision, strategy, and execution of this portfolio: a rare mandate to shape how a major organization operates backed by serious investment and executive sponsorship.</p><br><p></p><br><p>This isn't a feature-team job - You'll build and lead the product and go-to-market organization from the ground up, set the strategic agenda for a multi-product portfolio, and act as the connective tissue between senior stakeholders, engineering, and design - all in service of solving real problems for real users, at massive scale. </p><br><p></p><br><p><b>Discover the Role</b></p><br><ul><li><p>Product vision, strategy, and roadmap across an entire AI-native portfolio </p><br></li><li><p>A high-performing product and GTM organization, built on user obsession, rapid iteration, and evidence over opinion </p><br></li><li><p>An AI-first product development lifecycle, embedding AI tools into discovery and experimentation </p><br></li><li><p>Senior partnerships with engineering and design leadership to turn product requirements into scalable, AI-powered solutions</p><br></li><li><p>Stakeholder relationships across a large, complex organization, translating multifaceted needs into clear product direction</p><br></li></ul><p><span><b>Discover the Requirements</b></span></p><br><ul><li><p><span>15+ years in product management, including 5+ years as a CPO, VP of Product, or equivalent senior product leader</span></p><br></li><li><p><span>A track record of leading product organizations that have shipped successful products at scale</span></p><br></li><li><p><span>Deep experience in AI-powered or data-driven product development — and a clear-eyed view of what AI can and can't do in production </span></p><br></li><li><p><span>Sharp analytical instincts, with real experience defining and tracking product metrics, OKRs, and business outcomes • Outstanding stakeholder management skills and the political and organizational savvy to match </span></p><br></li></ul><p><b>Discover the Desired</b></p><br><ul><li><p><span>Experience at an AI-native company (think OpenAI, Anthropic, Notion, Figma) or a top-tier product-led tech company</span></p><br></li><li><p><span>Large-scale digital transformation or enterprise product experience within complex, multi-stakeholder organizations</span></p><br></li><li><p><span>B2B SaaS or internal enterprise product experience serving large, diverse user bases</span></p><br></li><li><p><span>Familiarity with Arabic-language UX and multilingual product design</span></p><br></li><li><p><span>A history of building products that automate or augment complex professional workflows legal, procurement, operations </span></p><br></li></ul><p><b>Discover Why?</b></p><br><ul><li><p>This is the rarest kind of mandate: a real budget, real authority, and a blank slate to build an AI-native product organization exactly the way it should be built at</p><br></li><li><p>You will have a seat at the very top table, reporting into<span>senior leadership with a direct line to the resources and sponsorship this scale demands.</span></p><br></li><li><p>Compensation and benefits built for someone operating at the executive level - because that's exactly what this is </p><br></li><li><p>A front-row seat in one of the world's fastest-growing technology ecosystems, with serious institutional backing behind you </p><br></li><li><p><span>The chance to build a legacy: the products you ship here won't just move a metric, they'll change how an entire organization works </span></p><br></li><li><p>Opportunities like this don't come around often - a genuinely greenfield mandate, at real scale, with the backing to match. </p><br></li></ul><p><b>Relocation Provided - Extremely competitive package on offer</b></p><br><p>This search is being conducted on a confidential basis. Relevant candidates will be contacted.</p><br><br>
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We're not hiring someone to run scans. We're hiring someone to build the engine that finds and closes risk before it becomes an incident. We're looking for a Tech Lead who thinks like an attacker prioritizing targets, not an analyst clearing a scan queue. Someone who owns the full vulnerability lifecycle, builds AI-driven prioritization into the pipeline, and turns remediation into a measurable, automated system instead of a spreadsheet of open tickets.<br><br>You'll lead Vulnerability Management across cloud, infrastructure, endpoints, and internal environments - turning every scan, exception, and remediation into a shorter exposure window and a more mature program. The goal isn't to keep the vulnerability count low on a dashboard. It's to make exploitable exposure structurally rare.<br><br><strong>Why This Matters<br><br></strong>Deriv's mission is Trading for Anyone, Anywhere, Anytime. Millions of traders across the globe, around the clock, across regulatory environments. At this scale, an unpatched exposure sitting past its SLA isn't a compliance footnote - it's a trader's funds at risk and a regulator on the phone.<br><br>Vulnerability Management is a core defensive layer for a platform that never stops processing transactions. When new assets, cloud workloads, and code ship continuously, your discovery and remediation engine can't fall behind - which is exactly why this role exists to turn Vulnerability Management into a fully automated, intelligence-driven function.<br><br><strong>The Challenge<br><br></strong>Most vulnerability programs are a scan, a spreadsheet, and a monthly report nobody reads until an audit forces the question. That's not this role.<br><br>You'll own the vulnerability lifecycle end to end: discovery, enrichment, risk-based prioritization, remediation, validation, and executive reporting, across AWS, GCP, Azure, Kubernetes, containers, endpoints, and network infrastructure. You'll be building automated workflows and AI-assisted prioritization that cut exposure windows quarter over quarter, not chasing CVSS scores in isolation.<br><br>If your idea of vulnerability management is exporting a Qualys report and emailing it to engineering, this isn't for you. If you want to architect an automation-first vulnerability engine at global scale and be the technical authority behind it, keep reading.<br><br><strong>Why Deriv<br><br></strong>Deriv protects millions of global traders across distributed platforms and cloud environments. Vulnerability Management is a core defensive layer here, not an afterthought bolted onto compliance - and this role is designed to transform it into a measurable, automation-driven, intelligence-led capability with direct impact on enterprise risk reduction.<br><br><strong>What You’ll Do<br><br></strong><ul><li>Own the full vulnerability lifecycle: discovery, enrichment, prioritization, remediation, validation, and executive reporting</li><li>Lead the operation and optimization of Qualys VMDR (Cloud Agents, SCA, PCI, dashboards, tagging, scan profiles) across AWS, GCP, Azure, Kubernetes and container workloads, endpoints (macOS, Windows, Linux), and office/network infrastructure</li><li>Implement risk-based prioritization using CVSS, EPSS, CISA KEV, exploit intelligence, and asset criticality, and design sustainable exception management and risk acceptance governance</li><li>Define and enforce remediation SLAs across engineering and IT, and reduce exposure windows (MTTR) and aging vulnerabilities quarter over quarter</li><li>Correlate vulnerability findings with CSPM insights, IAM exposure, and threat intelligence to prioritize exploitable and externally exposed assets</li><li>Strengthen integration between vulnerability data, SIEM, EDR, and cloud-native security controls, and support hardening aligned with CIS, NIST, ISO 27001, PCI-DSS, and DORA</li><li>Design automated workflows for vulnerability intake, ticket creation, assignment, tracking, and remediation validation across scanning platforms, workflow tools, and internal security systems</li><li>Use AI to enrich vulnerability context (exploitability, clustering, attack path, asset importance) and implement secure automated patching where technically validated and risk-appropriate</li><li>Act as the bridge between Global Security Operations and local IT/Engineering, aligning vulnerability data with detection engineering and blue team strategy</li><li>Serve as the technical authority for Vulnerability Management in Cyberjaya, mentoring analysts in risk-based triage and exploit analysis, and representing the function during audits and architecture reviews<br><br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>8-12+ years of cybersecurity experience with deep specialization in vulnerability management </li><li>Expert-level experience with Qualys VMDR (or equivalent: Tenable, Rapid7)</li><li>Strong understanding of exploit intelligence, risk scoring models, and vulnerability lifecycle governance</li><li>Hands-on experience across cloud security (AWS, GCP, Azure), CSPM integrations, endpoint patching and configuration management, and SIEM/EDR correlation</li><li>Strong automation capability: Python, Bash, API integrations, workflow automation</li><li>Experience implementing AI-assisted prioritization or remediation workflows</li><li>Proven ability to build dashboards and KPIs that influence executive decisions</li><li>Experience operating in regulated environments (ISO 27001, GDPR, PCI-DSS, DORA)</li><li>Strong communicator who can translate technical exposure into business risk<br><br><br></li></ul><strong>The Honest Reality<br><br></strong>This is a hands-on leadership role for someone who builds systems, not just processes. You'll raise findings and SLA breaches that aren't always welcome, and you'll be accountable for exposure windows in a regulated environment where a slipped patch cycle is a real finding, not a rounding error.<br><br>But you'll get high ownership and strategic influence within a global fintech security organization, the room to architect automation-first vulnerability management at scale, and direct impact on enterprise risk reduction alongside competitive compensation and a long-term leadership growth path.<br><br>If you want to run scans and forward reports, this isn't it. If you want to build the vulnerability engine that makes exploitable exposure the exception instead of the norm, it might be.
⛰️ <strong>About Northslope<br><br></strong>The generational companies of the next century will run on mission-specific AI software that compounds their competitive advantage, not commoditized SaaS. We purpose-build production AI applications that enable our customers to operate at the speed, scale, and margins of an enterprise software company, in any industry.<br><br>We're building something fundamentally different: software that's as adaptable as the businesses it serves, created by engineers who understand both code and customer.<br><br>️ <strong>The Role<br><br></strong>As a Forward Deployed Software Engineer at Northslope, you will be responsible for helping our customers solve their most valuable problems, working closely with stakeholders to conceive, architect, build, and maintain applications that make a measurable impact on their business. Day to day, you’ll understand a customer’s most critical objectives and build operationalized workflows on their enterprise data that end users actually use to make change within the business. You’ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. As a Forward Deployed Engineer, you won’t just ship code - you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.<br><br> <strong>What We're Looking For<br><br></strong><ul><li>An obsession with helping your customer win, even when it goes beyond the original “scope”. You eat hard customer problems for breakfast and take pride in delivering solutions that actually drive value.</li><li>Strong analytical abilities and problem-solving aptitude. You love breaking down complex problems and building end-to-end solutions that actually work.</li><li>Proficiency in Python and/or Typescript. We build in these languages everyday.</li><li>Ability to work independently and own outcomes autonomously. You'll always have support, but we're looking for teammates who want to be in the driver's seat and fully own their work.</li><li>Demonstrated ability to build applications that use large structured and unstructured datasets in a production environment. We take a customer's data and make it valuable to them - this is our bread and butter.</li><li>A track record of delivering real-world outcomes with code. As a software engineer, data scientist, or deeply technical analytics lead, you've helped an organization up its game through the software you've written and/or the analytical products you've built.</li><li>Strong ability to collaborate with internal and external teammates with varying levels of technical proficiency. We embed with our customers and join their teams, you'll need both technical and people skills to succeed.</li><li>Willingness to travel as-needed for client implementation work. Every project is different, but typically projects involve travel 10-33% of the time.</li><li>Enthusiasm for working hybrid-in-person at our London or New York hub offices and onsite with our customers. <br><br></li></ul><strong> Preferred But Not Required To Be Successful<br><br></strong><ul><li>A bachelor's or masters degree in Computer Science</li><li>Experience with Palantir Foundry and/or AIP</li><li>Experience delivering production ML and/or LLM-based solutions</li><li>Experience delivering production frontend applications in React</li><li>Experience with Spark and distributed compute.<br><br></li></ul> <strong>What We Offer<br><br></strong><ul><li>Competitive base salary + equity in the form of stock options</li><li>Comprehensive benefits package </li><li>Flexible hybrid work environment</li><li>The opportunity to build solutions, systems, and software from the ground up as we scale</li><li>A small, tight-knit team where your contributions directly impacts our ability to execute on our mission</li><li>Occasional travel (less than 10% of your time) for company off-sites where you'll connect with teams across our New York and London hubs<br><br></li></ul> <strong>Our Principles<br><br></strong><ul><li>Only Valuable Problems: Not every problem is worth solving. We work on the projects that will significantly improve our customers' bottom lines.</li><li>Outcomes, Not Activity: We create value, not extract it. We focus on our business impact, not racking up billable hours.</li><li>Forward Deployed Engineering: We never build in a vacuum. We go to the heart of the problem and build alongside our users.</li><li>One size fits none. Generic software fails the most important customers. We build for the specific — the exact industry, workflow, data, and competitive context of the company we're serving.<br><br></li></ul> <strong>Why Northslope<br><br></strong>At Northslope, we're built different. We take pride in being more like a product startup than a traditional services firm. We value velocity, ingenuity, and grit, and we relentlessly focus on delivering tangible outcomes for our customers.<br><br>We also have fun. We get to work on big, hard problems, in a fast-paced environment, alongside sharp yet kind teammates who help us continuously grow and delight in one another's successes. We offer full benefits and all the perks you'd expect of a modern tech startup, and are a distributed global team with hubs in London, New York, and UAE.<br><br> We hope you’re excited to join us and look forward to speaking with you soon.<br><br><em>Northslope is committed to building a strong, diverse team. We believe teams with a diversity of lived experience, background, and perspectives create better outcomes for our customers and are just more enjoyable to be part of. We are committed to creating and living a culture of diversity, equity, and inclusion throughout our work. We do not discriminate on the basis of race, national origin, religion, disability, pregnancy, age, military status, marital status, genetic characteristics or information, gender, gender identity, gender variance, or sexual orientation.</em>
<strong>Responsibilities<br><br></strong>About the Team<br><br>We are the Employee Mobility & Workplace Service Products Team under the Corporate Information Systems department. Our core mission is to serve ByteDance's global internal office scenarios as the standard-setter for AI-native applications and the driver of globally consistent experiences — we both build flagship AI application scenarios in-house and, using a full-scope evaluation suite as our measurement foundation, drive functional and experiential parity between CN and non-CN regions across core scenarios. Every feature you ship here is backed by the real, everyday usage and feedback of ByteDance employees worldwide.<br><br><strong>Why Join Us:<br><br></strong><ul><li> Real scenarios, real users — no throwaway demos; your product will actually go live and serve ByteDance employees globally;</li><li> At the forefront of AI applications — Agent, RAG, multi-agent collaboration, workflow orchestration; you'll get hands-on with the hottest directions in the field;</li><li> Tangible impact — use AI to save frontline colleagues real time, every single day.<br><br><br></li></ul>If you want to turn "AI transforming the workplace" from a slogan into a real product in the most authentic enterprise scenarios, bring your resume or portfolio and come talk to us. We look forward to defining the new workplace experience of the AI era — together with you.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br><strong>Responsibilities<br><br></strong>Here, you'll be deeply involved in the entire journey of an enterprise AI product — from idea to launch:<br><br><ul><li> Drive AI Agent product planning and design: shape core capabilities such as agent building from 0 to 1, turning cutting-edge technology into a genuinely usable product experience;</li><li> Uncover the real needs of enterprise users: distill users' core pain points through interviews, data analysis, and behavioral insights, and drive them into the product;</li><li> Build and continuously refine the evaluation system: create AI capability evaluation sets, keep track of product effectiveness and model performance, and use data to drive the iteration of both capability and experience;</li><li> Explore AI application innovation: stay on top of industry trends and experiment with new approaches in office automation, knowledge management, content generation, and more — turning good ideas into real features.<br><br><br></li></ul><strong>Qualifications<br><br></strong>Minimum Qualification<br><br><ul><li> Currently pursuing a bachelor's degree or above; majors such as Computer Science, Artificial Intelligence, or Information Management preferred (strong hands-on AI experience from non-CS backgrounds is equally welcome);</li><li> Clear logical thinking, self-driven, and user-value oriented; able to think from the user's perspective to solve problems, with strong communication and cross-team collaboration skills;</li><li> Genuine passion for AI products and a habit of following the latest developments in the LLM / Agent space.<br><br><br></li></ul><strong>Preferred Qualification<br><br></strong><ul><li> Relevant internship or project experience in AI products;</li><li> Familiar with AI / Agent tools such as Claude Code, Cursor, and Coze; hands-on experience building agents or AI applications, along with demos or a portfolio.<br><br><br></li></ul>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br><strong>About Us<br><br></strong>Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join ByteDance<br><br>Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br><br>
AI Product Manager Graduate (Corporate Information Systems - AI Vertical Scenarios) - 2027 Start
Information Technology
<strong>Responsibilities<br><br></strong>About the Team<br><br>We are the AI Vertical Scenarios Team under the Corporate Information Systems department. Our core mission is to serve ByteDance's global internal office scenarios as the standard-setter for AI-native applications and the driver of globally consistent experiences — we both build flagship AI application scenarios in-house and, using a full-scope evaluation suite as our measurement foundation, drive functional and experiential parity between CN and non-CN regions across core scenarios. Every feature you ship here is backed by the real, everyday usage and feedback of ByteDance employees worldwide.<br><br><strong>Why Join Us:<br><br></strong><ul><li> Real scenarios, real users — no throwaway demos; your product will actually go live and serve ByteDance employees globally;</li><li> At the forefront of AI applications — Agent, RAG, multi-agent collaboration, workflow orchestration; you'll get hands-on with the hottest directions in the field;</li><li> Tangible impact — use AI to save frontline colleagues real time, every single day.<br><br><br></li></ul>If you want to turn "AI transforming the workplace" from a slogan into a real product in the most authentic enterprise scenarios, bring your resume or portfolio and come talk to us. We look forward to defining the new workplace experience of the AI era — together with you.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br><strong>Responsibilities<br><br></strong>Here, you'll be deeply involved in the entire journey of an enterprise AI product — from idea to launch:<br><br><ul><li> Drive AI Agent product planning and design: shape core capabilities such as agent building from 0 to 1, turning cutting-edge technology into a genuinely usable product experience;</li><li> Uncover the real needs of enterprise users: distill users' core pain points through interviews, data analysis, and behavioral insights, and drive them into the product;</li><li> Build and continuously refine the evaluation system: create AI capability evaluation sets, keep track of product effectiveness and model performance, and use data to drive the iteration of both capability and experience;</li><li> Explore AI application innovation: stay on top of industry trends and experiment with new approaches in office automation, knowledge management, content generation, and more — turning good ideas into real features.<br><br><br></li></ul><strong>Qualifications<br><br></strong>Minimum Qualification<br><br><ul><li> Currently pursuing a bachelor's degree or above; majors such as Computer Science, Artificial Intelligence, or Information Management preferred (strong hands-on AI experience from non-CS backgrounds is equally welcome);</li><li> Clear logical thinking, self-driven, and user-value oriented; able to think from the user's perspective to solve problems, with strong communication and cross-team collaboration skills;</li><li> Genuine passion for AI products and a habit of following the latest developments in the LLM / Agent space.<br><br><br></li></ul><strong>Preferred Qualification<br><br></strong><ul><li> Relevant internship or project experience in AI products;</li><li> Familiar with AI / Agent tools such as Claude Code, Cursor, and Coze; hands-on experience building agents or AI applications, along with demos or a portfolio.<br><br><br></li></ul>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br><strong>About Us<br><br></strong>Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join ByteDance<br><br>Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br><br>
AI Product Manager Graduate (Corporate Information Systems - AI Vertical Scenarios) - 2027 Start
Information Technology
<strong>Responsibilities<br><br></strong>About the Team<br><br>We are the AI Vertical Scenarios Team under the Corporate Information Systems department. Our core mission is to serve ByteDance's global internal office scenarios as the standard-setter for AI-native applications and the driver of globally consistent experiences — we both build flagship AI application scenarios in-house and, using a full-scope evaluation suite as our measurement foundation, drive functional and experiential parity between CN and non-CN regions across core scenarios. Every feature you ship here is backed by the real, everyday usage and feedback of ByteDance employees worldwide.<br><br><strong>Why Join Us:<br><br></strong><ul><li> Real scenarios, real users — no throwaway demos; your product will actually go live and serve ByteDance employees globally;</li><li> At the forefront of AI applications — Agent, RAG, multi-agent collaboration, workflow orchestration; you'll get hands-on with the hottest directions in the field;</li><li> Tangible impact — use AI to save frontline colleagues real time, every single day.<br><br><br></li></ul>If you want to turn "AI transforming the workplace" from a slogan into a real product in the most authentic enterprise scenarios, bring your resume or portfolio and come talk to us. We look forward to defining the new workplace experience of the AI era — together with you.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br><strong>Responsibilities<br><br></strong>Here, you'll be deeply involved in the entire journey of an enterprise AI product — from idea to launch:<br><br><ul><li> Drive AI Agent product planning and design: shape core capabilities such as agent building from 0 to 1, turning cutting-edge technology into a genuinely usable product experience;</li><li> Uncover the real needs of enterprise users: distill users' core pain points through interviews, data analysis, and behavioral insights, and drive them into the product;</li><li> Build and continuously refine the evaluation system: create AI capability evaluation sets, keep track of product effectiveness and model performance, and use data to drive the iteration of both capability and experience;</li><li> Explore AI application innovation: stay on top of industry trends and experiment with new approaches in office automation, knowledge management, content generation, and more — turning good ideas into real features.<br><br><br></li></ul><strong>Qualifications<br><br></strong>Minimum Qualification<br><br><ul><li> Currently pursuing a bachelor's degree or above; majors such as Computer Science, Artificial Intelligence, or Information Management preferred (strong hands-on AI experience from non-CS backgrounds is equally welcome);</li><li> Clear logical thinking, self-driven, and user-value oriented; able to think from the user's perspective to solve problems, with strong communication and cross-team collaboration skills;</li><li> Genuine passion for AI products and a habit of following the latest developments in the LLM / Agent space.<br><br><br></li></ul><strong>Preferred Qualification<br><br></strong><ul><li> Relevant internship or project experience in AI products;</li><li> Familiar with AI / Agent tools such as Claude Code, Cursor, and Coze; hands-on experience building agents or AI applications, along with demos or a portfolio.<br><br><br></li></ul>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br><strong>About Us<br><br></strong>Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join ByteDance<br><br>Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br><br>
<strong>About Finanshels<br><br></strong>Finanshels is a fast-growing fintech building the Financial Operating System (FinOS) for SMEs across the MENA region. We<br><br>automate accounting and tax operations, deliver real-time financial health insights, and build systems which help finance<br><br>teams scale efficiently. Our product operates across multiple UAE regulatory frameworks, and we build it with a small,<br><br>high-ownership, AI-native team.<br><br><strong>THE OPPORTUNITY<br><br></strong>Our customers experience Finanshels through accounting, taxation, bookkeeping and more — and today that experience is<br><br>fragmented, manual, and stitched across disconnected systems. Talented builders are shipping AI-powered solutions against<br><br>individual pieces of it, at speed, but without a unifying product view of the journey those pieces belong to.<br><br>This role exists to fix that. You will own the customer experience charter on FinOS: replacing a broken, manual journey with<br><br>automated, productised, and unified experiences across every stage and every service line. Along the way, you will raise the<br><br>product bar for how the whole team builds — defining the problem, the user, and the measure of success before<br><br>engineering begins.<br><br>This is a hands-on role in a startup. You will start as the sole product owner for this charter, reporting to the Head of<br><br>Product, with scope to build and lead a product team as the function grows.<br><br><strong>What You'll Own<br><br></strong>▸<strong> The End-to-End Customer Journey</strong>. Map, diagnose, and rebuild the customer experience across service lines — from first<br><br>touch through ongoing delivery — turning manual, fragmented steps into unified, productised flows on FinOS.<br><br>▸<strong> Automation at the Core</strong>. Identify where human effort is absorbing what the product should do, and drive the automation<br><br>that removes it — measured in customer effort reduced and operational hours freed.<br><br>▸<strong> Consolidation onto One Platform</strong>. Bring capability scattered across legacy internal systems into a single coherent<br><br>experience, so customers and the teams serving them work in one place, not many.<br><br><strong>▸ Product Standards for AI-Native Building</strong>. Raise how the team builds. Bring rigour — clear problem definition, user<br><br>clarity, success metrics, and evaluation — to AI features that today ship without it.<br><br><strong>▸ Prioritisation and Sequencing.</strong> Decide what gets built and in what order. Protect the roadmap from work that does not<br><br>move the metric, and retire builds that have stopped earning their place.<br><br><strong>▸ Product Execution.</strong> Own roadmap and releases with Engineering, Delivery, Tax and CX. Set standards for accuracy,<br><br>security, auditability and approvals. Prioritize by hours saved, reliability, customer impact and cost.<br><br><strong> ▸ Measurement.</strong> Define the metrics that describe a healthy customer journey, instrument them with our data and analytics<br><br>team, and hold the roadmap accountable to them.<br><br><strong>OWNERSHIP AND AUTONOMY<br><br></strong>This role carries a clearly defined charter and the authority to run it. Within that charter you are expected to decide — on<br><br>scope and sequencing, operating cadence and product rituals, user experience and workflow direction, what the team<br><br>declines to build, and what gets retired. Tooling and vendor decisions sit with you within an agreed budget.<br><br>Decisions that shift resources beyond your charter, affect pricing or revenue, or cannot be reversed are made jointly with<br><br>the Head of Product. Everything else is yours.<br><br><strong>What We're Looking For<br><br></strong><strong>▸ Experience</strong>. 8+ years in product management, including a period as an early or founding product hire responsible for<br><br>establishing the function.<br><br><strong>▸ Building the Discipline</strong>. A demonstrable track record of moving a team from output to outcomes — introducing product<br><br>practice where it did not previously exist, and making it stick.<br><br><strong>▸ Commercial Judgment.</strong> You connect every product decision to a business result — revenue earned, cost removed, or time<br><br>returned — and can defend the trade-off.<br><br><strong>▸ Technical Credibility. </strong>Engineers regard you as a peer. You hold your own on architecture and data trade-offs and know<br><br>when technical debt is the right call.<br><br><strong>▸ Customer Obsession. </strong>You work close to real users — business owners, accountants, tax consultants — and can translate<br><br>observed friction into shipped improvement.<br><br><strong>▸ Journey and Service Design.</strong> Proven ability to diagnose experience failure across a complex, multi-stage, partly manual<br><br>journey and redesign it as a product.<br><br><strong>▸ AI Fluency in Practice.</strong> You have shipped AI-powered products to production and can speak credibly to evaluation,<br><br>guardrails, and how you measured whether it worked.<br><br><strong>▸ Communication. </strong>You write clearly enough that your strategy documents do not need rewriting, and you influence<br><br>through evidence rather than authority.<br><br><strong>▸ Domain (Preferred). </strong>Fintech, accounting, tax, or another regulated or professional-services environment.<br><br><strong>WHY FINANSHELS<br><br></strong><strong>▸ Genuine Ownership</strong>. Define the customer experience charter from the ground up.<br><br><strong>▸ AI-First Mandate.</strong> Applied AI is not a side project — it is how we build.<br><br><strong>▸ Lean Team, High Impact</strong>. Every person and every decision matters.<br><br><strong>▸ Fintech at the Right Moment.</strong> Finanshels is at an inflection point, and this role will define how we scale.<br><br><strong>How To Apply<br><br></strong>Send your CV, along with anything that shows how you build — a strategy document, a before-and-after journey you rebuilt,<br><br>or a product you are proud of — to careers@finanshels.com.
<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><span><strong>Role Summary</strong></span></p><br><p><span>We're looking for a Senior Software Engineer to join the team behind the surfaces that bring millions of people to Property Finder every month — search, property and location content, and the platforms that serve them across multiple countries and languages. </span></p><br><p><span>This is high-traffic, consumer-facing, and unusually unforgiving: page latency, cache behaviour, and data correctness are not just engineering quality metrics here, they directly move organic acquisition and revenue. You'll work close to the numbers and see the impact of your decisions in production within days. </span></p><br><p><span>It's a hands-on senior role. You'll design and own services end to end, influence architecture beyond your squad, and raise the bar for the engineers around you. </span></p><br><p><strong>Key Responsibilities</strong></p><br><ul><li><p><span>Design, build, and operate the backend services powering our highest-traffic consumer surfaces. </span></p><br></li><li><p><span>Own your work end to end: design, implementation, testing, deployment, observability, and the follow-up iteration based on what production actually tells you. </span></p><br></li><li><p><span>Build new services and features in TypeScript (Node.js), and maintain and evolve our existing Go services. </span></p><br></li><li><p><span>Work at the edges of the system — caching, CDN behaviour, content delivery, and rendering paths — where small changes have outsized effects on cost and performance. </span></p><br></li><li><p><span>Build for multiple countries and languages from day one: content, localisation, and market-specific behaviour are the default, not an afterthought. </span></p><br></li><li><p><span>Partner with product, SEO, data, and web/mobile engineers to turn requirements into systems that stay maintainable after the first release. </span></p><br></li><li><p><span>Drive operational excellence: monitoring, alerting, incident response, and continuous improvement of reliability, latency, and infrastructure cost. </span></p><br></li><li><p><span>Mentor engineers, review designs and PRs properly, and shape our backend standards. </span></p><br></li></ul><p><span><strong>Desired Qualifications</strong></span></p><br><ul><li><p><span>Must have 5+ years of backend engineering, with significant time on high-traffic, consumer-facing systems. </span></p><br></li><li><p><span>Strong TypeScript (Node.js) — the primary language for all new work. </span></p><br></li><li><p><span>Go, or a track record that says you'll pick it up fast. Our existing production services are in Go and you'll own them alongside new development. </span></p><br></li><li><p><span>Experience designing and operating services in a distributed environment: API design, service boundaries, versioning, and inter-service communication — plus the judgement to know when not to split something. </span></p><br></li><li><p><span>Hands-on with relational databases (MySQL/PostgreSQL), caching (Redis), and search (OpenSearch/Elasticsearch), including schema design, indexing, and query performance tuning under real load. </span></p><br></li><li><p><span>Production experience on AWS with containerised workloads, and genuine fluency in observability: metrics, structured logging, distributed tracing, SLOs, and being on the hook when something breaks. </span></p><br></li></ul><br><p><span><strong>Additional Capabilities</strong></span></p><br><ul><li><p><span>Event-driven and asynchronous processing (Kafka, SQS, or similar). </span></p><br></li><li><p><span>Edge computing and CDN-level logic (Lambda@Edge, CloudFront), and multi-region considerations. </span></p><br></li><li><p><span>Experience building for SEO-driven or organic-traffic-dependent products — you understand why crawlability, page performance, and structured data matter to a business. </span></p><br></li><li><p><span>Content platforms or headless CMS at scale. </span></p><br></li><li><p><span>AI/LLM features in production (AWS Bedrock or similar), including the latency and cost trade-offs of model calls on a user-facing path. </span></p><br></li><li><p><span>Marketplace, classifieds, or other two-sided platform products. </span></p><br></li></ul><p><span><strong>How you work</strong> </span></p><br><ul><li><p><span>You take ownership beyond your ticket — you notice problems, propose solutions, and follow through. </span></p><br></li><li><p><span>You explain technical trade-offs clearly to engineers and non-technical stakeholders, and you back your argument with data rather than preference. </span></p><br></li><li><p><span>You hold a high bar in code and design review, and the engineers around you get better for having worked with you. </span></p><br></li><li><p><span>You're pragmatic: you know when to build for scale and when to ship the simple thing, and you can quantify the cost of both.</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">
<p><span><span>We are looking for a UX/UI Product Designer to help shape Greenstone’s web applications: our internal CRM, used daily by our coverage, product and compliance teams, and our client-facing portal. You will join a small, high-trust technology team, working directly with leadership, business users and engineers, with real influence over how our products look, read and work.</span></span></p><br> <p><span><span>This role suits someone who has thrived in lean teams and is comfortable working across the whole process: research, writing, design, prototyping and delivery. Our applications are built in React with Material UI; we expect you to design within that reality and to use AI-native tools to get from idea to working prototype quickly.</span></span><br></p><br> <p><span><span>Responsibilities</span> </span></p><br>
<ul>
<li><span><span><span>Lead features end to end. </span></span></span><span><span>Take features across our internal CRM and client-facing portal from first concept to release, working closely with the rest of the team to keep the experience consistent.</span></span><br></li>
<li><span>Shape what we build. </span><span>Work with the Head of Technology and business leads to frame problems, run lightweight discovery with users, and write the requirements that guide each build.</span><br></li>
<li><span>Design the flows. </span><span>Turn complex investment and relationship workflows into clear user flows, information architecture and wireframes for data-dense, multi-step applications, and validate them with the people who use them.</span><br></li>
<li><span><span>Prototype fast, with AI</span>. </span><span>Turn ideas into working, interactive prototypes with AI-native tools such as Lovable, Claude, Figma Make or v0; use them to test with users and align stakeholders before engineering commits, and help the wider team adopt these tools well.</span><br></li>
<li><span><span>Craft the interface.</span> </span><span>Deliver polished, high-fidelity, responsive UI to a premium, institutional standard across desktop, tablet and mobile.</span><br></li>
<li><span><span>Write the words.</span> </span><span>Own the UX copy across every application: labels, microcopy, empty states, error messages and in-app guidance, in one clear and consistent voice.</span><br></li>
<li><span>Run the design system. </span><span>Build and maintain a Figma design system of tokens, components and patterns that mirrors our Material UI library, so design and code stay in step.</span><br></li>
<li><span>Ship with engineering. </span><span>Work with our frontend engineers on feasibility and handoff, review builds against design intent, and refine until what ships matches what was designed.</span><br></li>
<li><span>Design for trust. </span><span>Bring the care a regulated environment demands: clear permissions and states, safe defaults, and interfaces that handle sensitive investor and client data responsibly.</span></li>
</ul> <p><span><span>Requirements</span> </span></p><br>
<ul>
<li><span><span><span>Experience. </span></span></span><span><span>5+ years of product design, including time in lean, startup-style teams where you owned the work end to end; SaaS or fintech preferred.</span></span><br></li>
<li><span><span>Portfolio.</span> </span><span>Live, complex web applications, ideally B2B or data-heavy, that show your process from problem to shipped interface, including the prototypes you built and the copy you wrote.</span><br></li>
<li><span><span>AI-native prototyping.</span> </span><span>Day-to-day use of AI design and build tools such as Lovable, Claude, Figma Make, v0 or Bolt to produce working prototypes, and the judgment to know when a prototype beats a static mockup.</span><br></li>
<li><span>Figma and design systems. </span><span>Expert Figma, including variables, tokens, component architecture and auto layout, with hands-on experience building a design system around an established library such as Material UI.</span><br></li>
<li><span>End-to-end UX. </span><span>Proven ability across discovery, information architecture, user flows, wireframing, usability testing and iteration.</span><br></li>
<li><span>UI craft. </span><span>A demonstrable eye for typography, spacing, hierarchy and detail, a refined and premium aesthetic, and solid grounding in accessibility (WCAG) and responsive design.</span><br></li>
<li><span>UX writing. </span><span>Clear, concise interface copy; you treat words as part of the design, not an afterthought.</span><br></li>
<li><span><span>Front-end literacy</span>. </span><span>Working knowledge of HTML, CSS and component-based React frontends: enough to read code, pair with engineers and specify designs that are practical to build.</span><br></li>
<li><span>Product sense and communication. </span><span>Strong product judgment: framing problems, weighing trade-offs, and presenting and defending decisions to senior, non-technical stakeholders.</span><br></li>
<li><span>Ownership. </span><span>Self-directed, organised and pragmatic about scope: able to take a feature from brief to release on your own, collaborate closely with other designers and engineers, and balance speed with quality.</span><br></li>
<li><span><span>Education and location.</span> </span><span>A degree in Design, Human-Computer Interaction or a related discipline, or equivalent experience; able to work full-time from our Dubai office.</span></li>
</ul> <p><span>Nice to have </span></p><br>
<ul>
<li><span><span><span>Financial services. </span></span></span><span><span>Experience designing for asset management, private markets, wealth or other regulated, data-sensitive products.</span></span><br></li>
<li><span>Data visualisation. </span><span>Experience designing dashboards, charts and dense tabular interfaces.</span><br></li>
<li><span><span>Interaction and motion</span>. </span><span>Dedicated prototyping tools such as ProtoPie or Framer, and thoughtful use of motion to explain state and add polish, without excess.</span><br></li>
<li><span><span>Measurement and research tooling.</span> </span><span>Familiarity with PostHog, Hotjar or Sentry replays, and with Maze, Useberry or Dovetail for testing and synthesis.</span></li>
</ul>
<p><span><br><span><span>This is a permanent, full-time, office-based position at our Downtown Dubai headquarters, reporting to the Managing Director and Head of Technology.</span></span></span><br></p><br> </div>
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.<br><br>Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.<br><br>Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.<br><br>With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.<br><br><strong>Position Summary<br><br></strong>Harness is looking for driven sales champions who are as passionate about shaping the future of AI automation as they are about consistently exceeding their sales targets every quarter. As a Sr. Enterprise Account Executive, Security, you will create and execute strategic sales plans to forge new client relationships and drive growth within your designated territory, with a primary focus on promoting Harness AppSec solutions.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Exceeding your number- Winning new enterprise logos</li><li>Forecasting correctly, communicating clearly, aligning brilliantly with the rest of the team</li><li>Not being afraid of being data driven - including using Salesforce and other tools to track your progress</li><li>Managing full sales cycle from prospect to close</li><li>Collaborating with other teams, including sales engineering and sales development<br><br></li></ul><strong>About You<br><br></strong><ul><li>A proven track record of driving and closing enterprise deals</li><li>Account planning and execution skills</li><li>Ability to sell C-Level and across both IT and business units</li><li>Consistent overachievement of quota and revenue goals with a strong W2 track record</li><li>Understands the value of utilizing a strong sales methodology such as MEDDPICC when building pipeline and qualifying opportunities </li><li>Proven consultative sales solution skills, including the ability to articulate a clear, concise return on investment value statement</li><li>Ability to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, collaborative, and team-oriented environment</li><li>Bachelors Degree or equivalent<br><br></li></ul><strong>Location<br><br></strong><ul><li>This is a Hybrid role based out of our Dubai office. <br><br></li></ul><strong>What You Will Have At Harness<br><br></strong><ul><li>Competitive salary</li><li>Comprehensive healthcare benefits</li><li>Flexible Spending Account (FSA)</li><li>Employee Assistance Program (EAP)</li><li>Flexible Time Off and Parental Leave</li><li>Quarterly Harness TGIF-Off / 4 days</li><li>Monthly internet reimbursement</li><li>Commuter benefits <br><br></li></ul><strong>Harness In The News<br><br></strong><ul><li>Accelerating Our Mission to Bring AI to Everything After Code</li><li>Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation</li><li>How Harness runs 16 “startups within a startup” at scale | Jyoti Bansal</li><li>Harness Research Shows AI Visibility Crisis Fueling Security Nightmare</li><li>Harness has been named to the Inc. Power Partner list for software delivery success<br><br></li></ul>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.<br><br>At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal: https://harness-privacy.relyance.ai/<br><br><strong>Note on Fraudulent Recruiting/Offers<br><br></strong>We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.<br><br>Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.<br><br>If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br><br>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br><br>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.<br><br><strong><strong>Job Description<br><br></strong></strong>As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.<br><br>As a <strong>Sr. Data Scientist (AI & ML) on the global AI hub</strong>, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle, from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.<br><br><strong><strong>Responsibilities<br><br></strong></strong><ul><li>Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.</li><li>Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.</li><li>Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring.</li><li>Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.</li><li>Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.</li><li>Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.</li><li>Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.</li><li>Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.</li><li>Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.</li><li>Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.</li><li>Mentoring other data scientists in their growth journeys.</li><li>Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><strong>Technical Experience<br><br></strong><ul><li>Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.</li><li>Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).</li><li>Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.</li><li>Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.</li><li>Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.</li><li>Excellent SQL and competence with reproducible analysis and modeling in Python.</li><li>Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.</li><li>Familiarity with data modeling and dimensional design.</li><li>Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.</li><li>Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>Familiarity with BigQuery and the Google Cloud Platform is a plus.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><ul><li>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.</li><li>Experience building ML systems in an online consumer product setting is a plus.</li><li>A good problem solver with a 'figure it out' growth mindset.</li><li>An excellent collaborator.</li><li>An excellent communicator.</li><li>A strong sense of ownership and accountability.</li><li>A 'keep it simple' approach to #makeithappen.</li></ul>
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<span>Build the function.<br> Be its first practitioner.<br> Zero models in production.<br> That is the honest starting line, and it is also the offer.<br> DigitalZone has the parts most companies are still fighting for: a unified warehouse, data engineering and analytics teams already running, and behavioural and transaction data from a digital goods business, a ticketing platform and a regulated trading venue.<br> What it does not have is a single model deciding anything.<br> Nothing scores fraud risk, nothing forecasts demand, nothing chooses what a customer sees next.<br> You are the first data science hire.<br> You will build the team, set how it works, and personally be the data scientist for Platform: payments, identity and marketing technology.<br> You report directly to the executive who owns Product and Data, so the distance between your finding and a decision is one conversation.<br> It also means there is nobody to hide behind when a model does not work.<br> The hard part Fraud in a cash-heavy market with agent networks and chargeback exposure does not sit still.<br> Your model will be adversarial from day one, and the threshold you set is a live tradeoff between loss prevented and customers blocked.<br> That call will be yours to make and yours to defend.<br> Identity is the other half.<br> Customer records arrive from several products and a partner login, and resolving them into one trustworthy profile is what makes personalisation, risk scoring and half the company's roadmap possible.<br> Nobody has done it yet.<br> What you'll do Build the function from one person to a team: charter, hiring, and the standard for how a model is specified, validated, shipped, monitored and retired.<br> Own fraud detection as a product: transaction and payment risk scoring, chargeback and refund abuse, account takeover, promo abuse, agent and merchant anomaly detection.<br> Set the thresholds with fraud and operations, and defend the loss-versus-friction tradeoff.<br> Own the modelling side of identity management: identity resolution and record linkage across sources, deduplication and match confidence, profile completeness scoring, and the unified customer profile that both personalisation and risk read from.<br> Drive the next-best-action and segmentation layer behind personalised customer communication.<br> Get models into production and keep them there, with the cloud team on serving and MLOps: monitoring, drift, retraining, rollback, and one measurable business outcome per model you are willing to be judged on.<br> Own the planning models: demand and stock forecasting, predictive budget, category and SKU level targets, churn and lifetime value.<br> Own experiment design across product and marketing: hypothesis, minimum detectable effect, decision rule, and honest readouts including the null ones.<br> Agree the boundary with data engineering and analytics.<br> It is not settled today.<br> Settling it is part of the job.<br> Bring stakeholders a decision, not a notebook.<br> Definitions come from the company metric contract, and an unvalidated figure does not become a fact by appearing in a deck.<br> Immediate, large-scale impact on a high-growth business Top-of-the-market compensation packages Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more What you'll bring 7+ years in data science, 2+ leading or mentoring scientists.<br> Having been the first or second scientist somewhere counts double.<br> Models in production with a measured business outcome.<br> Hard requirement: live traffic, monitored, effect quantified.<br> A portfolio of notebooks is not this.<br> Fraud or risk modelling depth, plus at least one of: identity resolution and entity matching, forecasting, churn and lifetime value, personalisation, uplift modelling, causal inference.<br> Strong SQL against large transaction and event data in a columnar warehouse, strong Python, and code someone else can run next quarter.<br> Experimental and causal rigour, including quasi-experimental methods where randomisation is not possible.<br> Consumer fintech or payments fluency: transactions, funnels, cohorts, fraud patterns.<br> The ability to align product, engineering, marketing and commercial on one problem definition before any modelling starts.<br> AI-assisted working, with the rule that you never ship output you cannot explain.<br> Nice to have Built a data science function from zero, including the first hires and the first deployment path.<br> Fraud or payment risk in a market with cash-heavy behaviour, chargeback exposure or agent networks.<br> Identity graph, KYC or customer data platform experience.<br> MENA or emerging-market consumer data, with the data quality reality that comes with it.<br> Arabic. What we will not pretend There is no team yet, no serving infrastructure you can lean on, and no data science rubric to hide behind.<br> The first six months are you, a warehouse and a lot of stakeholder conversations.<br> What you get in return is a blank page at a company that has already decided models matter, and the rare chance to be judged on outcomes you defined yourself.<br> If you want to join a mature data science org, this is the wrong role.<br> If you want to be the reason one exists, apply.<br></span> </div>