Senior Technical PM — AI-Driven Registry

Kernel Company

Greater London

Hybrid

GBP 115,000 - 145,000

Full time

5 days ago
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Benefits offered by this job

Equity
24 days holiday
Office dinner allowance
Work-from-anywhere
Parental leave
Pension plan
Central London office
Team events
Direct with founders
High autonomy

Job summary

Kernel is seeking a highly technical, full-stack product thinker to own product work end-to-end, collaborating directly with the founders and the engineering team. You will own all stages from discovery to implementation for our core product areas and bets, and be data- and metrics-driven in your approach.

The ideal candidate has 6+ years in Product Management, comfort with evals to drive quality, strong API/data pipeline SQL skills, and a bias for ownership and rapid, informed decision making.

Qualifications

  • 6+ years of Product Management experience building complex products.
  • Comfortable with evals for agents and improving quality via iterative evals.
  • Technical IQ: API, data pipelines, SQL.
  • Extreme ownership: cradle-to-grave ownership of your area.
  • Clever use of AI: proficient AI use without losing your own instincts.

Responsibilities

  • Own all stages from discovery to implementation for core product areas.
  • Data- and metrics-driven decision making.
  • Navigate ambiguity and decide when to move fast.
  • Bridge the gap between customers and engineering.
  • Help shape the product roadmap and vision.

Skills

Product management
Data-driven
AI usage
Ownership
Evals
Technical IQ

Tools

SQL
API
Data pipelines

Job description

Kernel is seeking a highly technical, full-stack product thinker to own product work end-to-end, collaborating directly with the founders and the engineering team. You will own all stages from discovery to implementation for our core product areas and bets, and be data- and metrics-driven in your approach.

The ideal candidate has 6+ years in Product Management, comfort with evals to drive quality, strong API/data pipeline SQL skills, and a bias for ownership and rapid, informed decision making.

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