A pre-product-market-fit AI startup is looking for a Product Lead to own what gets built, changed, or stopped for a tool that helps enterprises deploy AI more safely and cost-effectively. You'll report directly to the CEO and work closely with a small Science and Engineering team.
What You'd Do
Own the roadmap and be accountable for outcomes
Talk to customers directly and turn what you learn into testable product hypotheses
Run the cadence between Product, Science and Engineering — clear priorities, real decisions, closed work
Prototype fast yourself, then work with Engineering to ship what's validated
Take decision rights on roadmap, scope and priorities after an initial period building context alongside the founders
What They're Looking For
A technical/engineering background, having personally shipped AI or agentic products
Comfortable prototyping yourself (Python or similar)
Real 0-to-1 product experience: founding PM, early-stage lead, ex-founder, or technical consultant who owned what got built
Deep AI fluency: LLM APIs, agentic systems, evaluation, traces, and how these things fail in production
Familiarity with tools like LangChain/LangGraph, LLM evaluation platforms (e.g. LangSmith, Braintrust), and experience across multiple LLM providers (OpenAI, Anthropic, open-source)
Hands-on customer discovery or user research experience
You move from ambiguous problems to evidence-backed decisions without waiting for consensus on every call
You listen before proposing solutions and change your mind when the evidence changes
Enterprise AI deployment, evaluation or observability experience a plus
Formal AI education is a plus, but lived experience with agentic AI matters more
Small founding team, CEO as your direct line
First 3 months: shape strategy alongside founders as they build context with you
After that: full ownership of roadmap, scope and prioritisation
Founders stay focused on commercial strategy and scientific direction
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