Technical Product Manager

Matchtech; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

Matchtech is seeking a Technical Product Manager in London for a hybrid role. This position involves owning product quality and AI evaluation, with responsibilities including creating quality metrics and managing regression testing.

You should have 3-5 years of product experience and a strong background in AI. Excellent communication skills are crucial for translating between customers and engineers. This is an opportunity to work with a transformative AI platform in the property sector.

Qualifications

• 3-5 years in Product or an adjacent role owning outcomes with engineering.
• Use AI tools daily in real work, not just experimenting.
• Ability to reason about trade-offs and feasibility.

Responsibilities

• Own product quality and AI evaluation from definition to measurement.
• Conduct nightly evaluations, test scenarios, and tracking.
• Drive quick fixes for real product bugs.

Skills

Product outcomes ownership

AI tools usage

Technical understanding

Methodical problem solving

Strong communication

Tools

Linear

Notion

Slack

Job description

Technical Product Manager (AI product quality +)

London, hybrid | Full-time

No visa sponsorship (must already have UK right to work)

An AI product is only as good as its quality bar.

If you love turning "it seems fine" into "we can prove it," this one's for you.

I'm hiring a Technical Product Manager for an early-stage AI platform transforming property operations with an intelligent assistant that automates the day-to-day workload (comms, compliance workflows, maintenance coordination, scheduling). Pilot customers are live, feedback is strong, and the team is scaling toward revenue in 2026.

What you'll own:

• Product quality and AI evaluation end to end (define what "good" looks like, measure it, and raise the bar)
• Nightly evaluation suites, test scenarios and graders (and tracking pass rates over time)
• Regression spotting and driving fixes fast
• Daily issue triage (separating config/data/user error vs real product bugs)
• Turning real customer conversations into scenarios, priorities and delivery
• Feature ownership from problem → PRD → build → validation

What I'm looking for:

• 3-5 years in Product (or adjacent role owning outcomes with engineering)
• AI-native: you use AI tools daily in real work, not just experimenting
• Technical grounding (enough to reason about trade-offs and feasibility)
• Methodical problem-solver who measures quality, not vibes
• Strong communicator who can translate between customers and engineers

Bonus points:

• AI evals / model testing / prompt evaluation experience
• QA / product quality ownership
• Linear, Notion, Slack
• Startup "build the process while shipping" mindset