Senior Technical Product Manager - AI Platform

Key Responsibilities

• Own Product Lifecycle: Lead initiatives end-to-end from concept through delivery and adoption
• Product Discovery: Conduct user interviews, focus groups, and research to identify opportunities and define solutions
• Define Success Metrics: Establish and track KPIs and OKRs to measure product impact
• Roadmap Development: Translate stakeholder needs and usage insights into actionable priorities
• Prototype & Build: Develop demos and working solutions using AI tools (prompts, agents, workflows, integrations) to validate concepts
• Iterate Quickly: Share work early (~70% complete) to gather feedback and refine direction
• AI Innovation: Stay current with emerging AI tools, models, and technologies to guide investment decisions
• Stakeholder Management: Partner with technical and business teams across the organization
• Executive Communication: Clearly communicate tradeoffs, progress, and outcomes
• Operate Independently: Thrive in a fast-moving, low-structure environment

Required Skills

• Strong experience leading product discovery and defining user-centric solutions
• Proven ability to define and execute against KPIs and OKRs
• Excellent communication and stakeholder management skills
• Hands-on ability to prototype solutions using AI tools
• Familiarity with: LLM applications, prompt engineering, AI agents, retrieval-augmented generation (RAG)
• Strong judgment around scope, speed, and quality tradeoffs
• Passion for working at the cutting edge of AI technology

Required Education

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)

Preferred Skills

• Experience with AI tools and frameworks such as: LangGraph, CrewAI, OpenAI APIs, LiteLLM, Open WebUI, n8n
• Familiarity with AI evaluation and observability tools (Arize, Phoenix, Langfuse)
• Experience using AI coding assistants (e.g., Claude, Cursor)
• Experience running pilot programs or early-adopter initiatives
• Background working with senior leadership on AI initiatives
• Understanding of enterprise AI governance, security, and compliance