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Senior Product Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Alecto
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

At Alecto, we're on a mission to fix one of the UK's most broken consumer experiences: conveyancing - the legal process behind every property transaction. Today it’s slow, opaque, and failing. One in three property transactions fall through, complaints run 3.3x higher than any other legal sector. Many firms still rely on post and fax. We're building the UK's first AI-native law firm to change that.

Backed by First minute Capital and a strong group of angel investors, we’re led by a founder who built and scaled Gen H, a fintech mortgage lender, to £1bn in annual lending and £5bn in financing. That hands-on experience in regulated financial services gives us a clear path to disrupt a fragmented £2.5 billion market. Conveyancing is our starting point. Our ambition is a full-service, AI-first law firm with global reach.

About

the Role

We're looking for a Staff or Senior Product Engineers to join as an early member of our engineering team. We're a small team of generalists with deep experience in startups and who care about craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week.

Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build.

Responsibilities
  • Have worked at early-stage startups and driven product direction
  • Think in terms of user problems, not just technical solutions
  • Have scaled Type Script projects
  • Enjoy refining and customising your AI workflow into the early hours
  • Building AI agents or LLM-powered systems that go beyond simple prompting
  • Thrive in autonomy and owning your own work & projects
  • Are genuinely excited by building products from the ground up
Qualifications

Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production.

Required Skills
  • Relentless about self-improvement and hold yourself to incredibly high standards
  • See problems as solvable and find opportunity in challenges
  • Energise the people around you in the process
  • Own outcomes, fixing problems rather than waiting for someone else to
  • Want to be measured on your impact
  • Low ego and self-critical, open to feedback
  • Give honest feedback directly and kindly
Preferred Skills
  • A Type Script monorepo, React, tRPC and Tailwind
  • Inngest for background jobs and event-driven workflows
  • Deployed on Google Cloud Platform with Postgres
Pay range and compensation package
  • Meaningful early-stage equity - you'll be an owner, not just an employee
  • 5% employer pension contributions
  • Comprehensive private medical cover including dental and optical
  • Your choice in AI tooling
Equal Opportunity Statement

Please let us know if there are any reasonable adjustments we can make to ensure you have the best experience interviewing with us!

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Position Requirements
10+ Years work experience
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