Summary
Lead product quality for an AI-powered platform by defining evaluation frameworks, managing product operations, collaborating with engineering, and turning customer feedback into measurable improvements.
Highlights
Opportunity to shape AI product quality, work closely with leadership, own end-to-end product quality, and grow within an early-stage environment.
Description
I am working with a venture-backed AI company building intelligent automation for a large, traditionally under-digitised industry.
Their AI-powered product is already live with pilot customers, delivering strong results and driving toward scale in 2026.
The Role
They're looking for a Technical Product Manager to own how the business knows its AI product is actually performing.
This is a broad, hands-on role covering quality assurance, AI evaluation, and day-to-day product operations on a small, fast-moving team.
You'll own the evaluation suites and test scenarios that measure product quality, track performance over time, and turn real customer feedback into clear priorities.
You'll run daily issue triage, partner closely with Customer Success, and own features from problem definition through to delivery.
The team runs much of its workflow through lightweight agentic tools, so you'll need to be genuinely comfortable working this way, not just familiar with AI in theory.
What You'll Bring
Around 3-5 years in a product role, or a closely adjacent role where you owned outcomes and worked directly with engineeringGenuine daily fluency with AI tools, using them to solve real problems, not just experimentingHands-on technical grounding, roughly a year building software or agentic AI workflows yourself, enough to reason about trade-offs with engineersStrong product instincts paired with real rigour around measuring quality rather than relying on gut feelExcellent written and verbal communication, comfortable translating technical detail for any audienceHigh ownership, honesty about what is and isn't working, and comfort in a fast-moving early-stage environment
Strongly Preferred
Experience with AI evaluations, model testing, prompt evaluation, or building test scenarios and graders for AI systemsExperience owning a quality assurance function or product quality barFamiliarity with tools like Linear, Notion, and Slack
Why This Role
Join an early-stage company building AI infrastructure for a massive global industryOwn the quality of an AI product end to end, at a company where quality is the differentiatorWork closely with founders and the core team to shape how the company scalesReal room to grow, deeper into AI evaluation or broader into product ownership, as the team expands
Please note, my client is unable to offer visa sponsorship at this time, so candidates must already have the right to work in the UK.