Define and drive the product vision, strategy, and roadmap for GenAI and agentic AI solutions
Research how enterprise users interact with AI agents and where they lose trust
Drive multi-model architecture tradeoffs with engineering
Define and own agent behavior end-to-end (system prompts, tool schemas, context management
Build AI prototypes to validate hypotheses and de-risk product decisions
Own backlog management and sprint execution day-to-day

🎯 Requirements

8+ years in product management, forward deployment, or solutions engineering
Must have shipped AI products from prototype through production at enterprise scale
Strong product sense
Ability to read and engage deeply with code (Python, JavaScript, TypeScript)
Deep GenAI fluency across LLMs, RAG, fine-tuning, prompt engineering, context engineering, and evals
Hands-on experience building or shipping agentic systems including planning, tool use

🎁 Benefits

Paid time off
Medical/dental/vision insurance
401(k)

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