London-Based Technical PM for AI Enterprise Registry

Kernel; Greater London; On-site; GBP 115,000 - 145,000; Full time

Benefits offered by this job

Equity

Central London office

Pension plan

2 weeks work-from-anywhere

Team events and dinners

Job summary

Kernel is building a business registry for agents in London. You will own one of Kernel’s product areas end-to-end, working directly with the founders and the engineering team.

You will drive discovery through implementation, collaborating with customers and engineers to ship high-impact features. You’ll lead data- and metrics-driven initiatives, manage evaluation processes for agents, and push for rapid, thoughtful decisions in a fast-paced startup.

Qualifications

• 6+ years of Product Management experience, where you’ve learnt the hard way what works and what doesn’t, and built complex products and features along the way
• Evals: Comfortable with evals for agents and driving quality improvements via evals and recursive self-improvement
• Technical IQ: Comfortable with API, data pipelines, SQL, and so on. Even (and especially) when Claude Code is down.
• Extreme ownership: You own your area, cradle-to-grave; this is not a relay race where you only do one part and then hand off the next bit of product work to someone else
• Clever use of AI: You’re an aggressive and proficient user of AI, but you never switch off the local LLM that you were born with :)

Responsibilities

• Own all stages from discovery to implementation for our core product areas and bets
• Data- and metrics-driven decision making
• Bridge the link between our customers and our engineering team
• Help shape the product roadmap and vision for Kernel

Skills

Product management

Eval-driven

API

Data pipelines

SQL

Tools

API

Data pipelines

SQL

Job description

Kernel is building a business registry for agents in London. You will own one of Kernel’s product areas end-to-end, working directly with the founders and the engineering team.

You will drive discovery through implementation, collaborating with customers and engineers to ship high-impact features. You’ll lead data- and metrics-driven initiatives, manage evaluation processes for agents, and push for rapid, thoughtful decisions in a fast-paced startup.