وظائف DataRobot, Inc

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p><span>The Customer Success Engineer is a post-sales technical expert responsible for driving adoption, consumption, and measurable outcomes from deployed GenAI applications. Customer Success Engineers serve as the technical bridge between developers and DataRobot’s platform, ensuring customers maximize value from using DataRobot. They work closely with Account Owner, Engagement Directors, and Professional Services teams to accelerate time-to-value, support expansion motions, and reduce churn risk through continuous enablement and use case optimization.</span></p><br><span>Key Responsibilities:&nbsp;</span><ul><li><p><span>Accelerate Onboarding &amp; Initial Application Adoption: Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.</span></p><br></li><li><p><span>Drive Ongoing Consumption: Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.</span></p><br></li><li><p><span>Customer Health Monitoring: Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.</span></p><br></li><li><p><span>Technical Advocacy &amp; Solution Feedback: Act as the voice of the customer to DataRobot product and engineering teams, channeling technical requirements, gaps, and enhancement requests.</span></p><br></li><li><p><span>Accelerate Initial Group Learning Adoption: Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.</span></p><br></li><li><p><span>Technical Enablement &amp; Training: Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.</span></p><br></li><li><p><span>Use Case Value Realization: Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.</span></p><br></li></ul><span>Knowledge, Skills and Abilities:</span><ul><li><p><span>Familiarity with AI platforms, application lifecycle management, or data-centric solution delivery</span></p><br></li><li><p><span>AI Engineering to include GenAI application development, prompt engineering, and knowledge of LLMs</span></p><br></li><li><p><span>Strong presentation and communication skills, with the ability to engage both business users and technical stakeholders</span></p><br></li><li><p><span>Proven ability to translate complex technical functionality into measurable business outcomes</span></p><br></li><li><p><span>Experience in supporting product adoption, managing customer success plans, and driving technical consumption</span></p><br></li><li><p><span>Extensive experience with the end-to-end machine learning lifecycle, including feature engineering, model training, evaluating accuracy and insights, and deploying models for inference</span></p><br></li><li><p><span>Understanding of GenAI application architectures and LLM implementations</span></p><br></li><li><p><span>Familiarity with cloud infrastructure (AWS/Azure/GCP) and deployment patterns</span></p><br></li><li><p><span>Comfortable reading code/logs to diagnose technical issues</span></p><br></li><li><p><span>Professional proficiency in both Japanese and English, encompassing both written and verbal communication skills</span></p><br></li></ul><p><b><span>Requisite Education and Experience / Minimum Qualifications:</span></b></p><br><ul><li><p><span>3-5+ years of experience in technical customer-facing roles (e.g., Solution Engineer, AI/ML Engineer, Technical CSM, App Developer) in SaaS or enterprise software</span></p><br></li><li><p><span>Bachelor's degree in a technical, business, or related field (or equivalent practical experience); advanced degree a plus</span></p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p>The <b>Pre-Sales Senior AI Solutions Engineer </b>plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, production‑inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption.</p><br><p><b>Key Responsibilities</b><br>Business-to-Technical Translation &amp; Problem Understanding</p><br><ul><li><p>Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.</p><br></li><li><p>Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners).</p><br></li><li><p>Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.</p><br></li></ul><p>Agentic AI Solution Design &amp; Prototyping</p><br><ul><li><p>Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.</p><br></li><li><p>Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.</p><br></li><li><p>Frontend &amp; UX: Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.</p><br></li><li><p>Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.</p><br></li></ul><p>Demo Execution &amp; Sales Collaboration</p><br><ul><li><p>Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. Help shape and refine use cases based on account maturity and strategic alignment.</p><br></li><li><p>Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.</p><br></li><li><p>Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).</p><br></li></ul><p>Cross-Functional Feedback &amp; Compliance Alignment</p><br><ul><li><p>Security &amp; Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.</p><br></li><li><p>Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant.</p><br></li><li><p>Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.</p><br></li></ul><p><b>Knowledge, Skills, and Abilities</b><br>Pre-Sales &amp; Platform Selling Experience</p><br><ul><li><p>Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.</p><br></li><li><p>Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.</p><br></li><li><p>Prior experience turning rapid MVPs into production applications or long‑term enterprise platforms.</p><br></li></ul><p>Core Technical Skills</p><br><ul><li><p>Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).</p><br></li><li><p>Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.</p><br></li><li><p>Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.</p><br></li></ul><p>Problem Solving &amp; Communication</p><br><ul><li><p>Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders.</p><br></li><li><p>Exceptional ability to move from ambiguity to clarity quickly.</p><br></li><li><p>Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.</p><br></li></ul><p><b>Education &amp; Experience</b></p><br><ul><li><p>6-8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.</p><br></li><li><p>Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus.</p><br></li><li><p>Prior experience applying AI or complex software solutions within the Oil &amp; Gas industry is a strong plus.</p><br></li><li><p>Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.</p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div>