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 Firstminute 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 RoleWe’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 TypeScript 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
QualificationsBonus 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 TypeScript 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 StatementPlease 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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