Lead Pre-Sales Applied AI Expert

Our product has the power to transform industries, and our Customer Success team members are on the front lines of this transformation, offering knowledge and expertise to our customers. Job Description: 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. The Lead Pre-Sales AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and recognize the value of agentic AI, fast. This role sits at the intersection of business understanding, AI application design, and polished product execution. The primary mission is to rapidly design and build enterprise-grade MVP (Minimum Viable Product) agentic AI applications, often within days—that clearly demonstrate how AI agents can transform real business processes. You will partner closely with prospective customers, subject matter experts, and pre-sales team members to turn ambiguous business problems into compelling, production‑inspired prototypes. These MVPs are not throwaway demos; they are credible, extensible foundations that showcase technical depth, strong UX/UI taste, and modern AI architecture, while remaining pragmatic and fast to deliver. Required Skills, Expertise & Experience This role requires senior-level judgment: deep hands-on building experience, strong customer-facing intuition, and the ability to make pragmatic tradeoffs under real-world constraints. Core Technical Skills Strong hands-on experience building agentic AI applications using modern LLM frameworks and orchestration patterns. Solid backend engineering skills (e.g., Python, Agent Skills, MCP, OpenAI Agents SDK, Claude Code, Cursor). Experience designing and running Agent Skills, MCP servers, tool APIs, and external system integrations. Familiarity with agent tracing, observability, logging, and evaluation techniques for AI applications. Frontend & Design Taste Proficiency with React and modern frontend tooling. Experience using shadcn/ui or similar design systems to create clean, enterprise-ready UIs. Strong UX instincts—able to simplify complex workflows and present AI behavior transparently and confidently. Problem Solving & Communication Exceptional ability to move from ambiguity to clarity quickly. Strong verbal and written communication skills; comfortable leading technical conversations with non‑technical stakeholders. Ability to explain complex AI concepts in a grounded, value‑driven, and honest way. Education & Experience 8+ years of experience in software engineering, applied AI, hands-on technical consulting, or technical product roles. Location Massachusetts, US - Remote | California, US - Remote Customer Success The Customer Success team helps our customers to implement mission-critical AI systems, and realize business value through their investment in DataRobot. We ensure our customers achieve their desired outcomes while using our product. Product adoption will determine success as measured by client usage, retention, expansion, and revenue. The Customer Success function exists to make the product more compelling and ultimately to maximize the lifetime value of a customer. DataRobot wants to transform every business into a Value-Driven AI Enterprise, and Customer Success is one of the pivotal teams in that mission. Our Core Values Together, we cultivate an exceptional people and team experience where we all belong, feel inspired to engage and are empowered to grow. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion,color,national origin,...