Engineers optimising businesses
so AI recommends them.

Remote-first. Senior-only. Small team, huge surface. You build the optimisation pipeline behind every brand named by ChatGPT, Claude, Gemini, Meta AI, DeepSeek and Grok — and customers see your work in their answer-layer score the same week.

↑ Optimisations shipped · weekly ✓ Engineer-signed roadmaps · daily ⌁ Pipeline tuning · constant ⤴ Brands lifted in AI answers · every sprint ○ Real autonomy, real ownership ⌬ Six engines, one product ↑ Optimisations shipped · weekly ✓ Engineer-signed roadmaps · daily ⌁ Pipeline tuning · constant ⤴ Brands lifted in AI answers · every sprint ○ Real autonomy, real ownership ⌬ Six engines, one product
Why here

Senior teams, small surface.

Engineer-led

Your name ships on the roadmap.

Zero management layers between the engineer and the brand. The optimisation you ship lands in front of paying customers in days, not quarters.

Remote-first

Three continents. One async stack.

We hire wherever the talent is. Weekly syncs only when the work needs them — deep focus is the default rhythm, and the optimisation pipeline never stops shipping.

Ship-first

Customer-facing on day one.

The thing you build today moves a paying brand up the answer layer this week. Internal tooling waits. The optimisation roadmap doesn't.

No bureaucracy

One call, one decision.

No process tax. No deck before the work. If you can defend the call, you make the call — and the team covers you when it bites.

Open roles

The work on the table.

We hire opportunistically — these are the shapes currently on the optimisation roadmap. If yours doesn't match, write anyway and tell us what you'd build.

Engineering

Senior AI/ML engineer — optimisation pipeline

Remote Full-time Python · prompt engineering · LLM eval across six engines
Apply
Engineering

Full-stack engineer — customer dashboard

Remote Full-time Laravel · PHP 8 · TypeScript · the surface customers steer their optimisation from
Apply
Strategy

AI Visibility Sprint lead

Remote Full-time Owning the playbook customers run to be recommended by the assistants
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Open application

Something we haven't thought of yet

Any function Tell us what you'd build for the AI recommendation layer
Apply
Apply

Send a note. We read every one.

Short and specific beats long and polished. Tell us what you've shipped, which slice of the optimisation pipeline you'd own, where you'd start week one.

We open every attachment manually. PDF preferred. Plain link to a portfolio works just as well — leave this empty if you'd rather link.

Don't see a fit? Write anyway.

We hire by signal, not headcount plan. If optimising the layer that decides which brands AI names matters to you, the conversation is worth having — even if today's roster doesn't have a slot for tomorrow's hire.

Send a note Remote · async · we read every application within a week