Our mission is to build the operating layer for mobile development. The first part of that journey is to build the best tool to help teams catch mobile bugs, by deploying agents using computer vision on real devices.
We’ve secured over $3m in funding from Concept, Evantic, and Weekend Fund, and operators behind companies like ElevenLabs, Hugging Face, OpenAI, and Linear.
We’re still early, but we’re already relied on daily by cutting-edge companies like Granola, Gopuff, Slingshot AI, Praktika, Clove, Scope AI, Nexos, Morse, and many more.
An engineer who not only writes clean and reliable code, but has great product instincts and loves jumping on calls and threads with customers. Our stack changes fast, so strong fundamentals matter more than experience in a particular language or framework.
A true problem solver and builder, where the questions can’t simply be thrown into Claude, instead they involve getting around a whiteboard and figuring things out from first principles. Who thrives on the pace and ambiguity of working in a startup environment.
Experienced taking ML concepts from "works on my laptop" to real production systems. You know about the unglamorous parts, like data pipelines, evals and maybe even statistics.
Calm when things move quickly and priorities shift. You can decide what matters most, make progress without being blocked, and keep shipping while the product takes shape.
Proficient with AI-assisted coding tools, to move faster and rapidly prototype, while still owning the code that's committed. You care about quality, and you want to spend more time on the interesting problems.
Someone who enjoys working in-person; we’re based in Old Street and typically in 4 days a week.
Our engineering team is pioneering the path from agents that test applications to agents that can autonomously verify mobile software is working correctly. With a small team, it means you’ll own projects end to end and work across the full software stack (frontend + backend + infra).
Day to day, that spans:
Architecting cutting-edge AI agents using a mixture of external, open source and proprietary multimodal models.
Developing internal eval benchmarks and aggregating datasets to measure and improve agent performance.
Building and improving secure cloud infrastructure and reverse engineering device communication protocols.
Scaling our physical device farm through in house automation, a genuinely uniqe part of the role.
Staying up to date with the latest research and advancements in the wider industry, so we can incorporate new technologies and ideas into our stack.
Your impact won’t stop at engineering, you’ll work on initiatives across the business, helping our go-to-market machine and be on the front-line, chatting with and supporting our customers, and helping to craft our product roadmap.
We know that amazing talent comes from all walks of life. If you find yourself feeling energised reading the above, whether you look like a fit on paper or not, please get in touch!
If you’ve made it this far, here’s a little more about our journey and the exciting mission and vision driving it.
From humble beginnings with a small device farm in Charlie’s shed, we saw first-hand how agentic coding unlocked many barriers to building apps, but ensuing that they run reliably was still incredibly painful. Whether at early-stage startups or tech-giants, flaky tests blocked releases and was the real bottleneck in getting new features into customer’s hands.
We’re on a mission to change that by building agents that test apps like humans do: through sight, sound and touch. We believe developers shouldn’t need to maintain special APIs, accessibility IDs or integrate new libraries, but rather whenever a new build is shipped all of the important workflows are verified before reaching users, automatically, by an agent. If there’s a bug, those developers shouldn’t need to talk about flaky tests, but rather see that their coding agent has already received the full context in order to fix exactly what’s broken. That means an end to manual testing, and hours of time back per day for developers.
Our vision is to build the go-to operating layer for mobile that not only cuts across code verification and testing, but also all other friction points in the mobile journey: writing the app, shipping it, monitoring performance, learning from users, growing revenue, and ensuring everything is secure. We think we’re best placed to do this with our agentic multimodal approach.
This effort spans ML, real physical hardware, and software development. If you’re excited by the idea of teaching computers to understand, reason and interact with digital interfaces, you belong on this mission with us. We’re assembling a small all-star team here in London, with the ambition to truly change how mobile software is made.
Joining an early-stage company always comes with a level of risk, but we don't think our early team should have to compromise on everything else. That's why we pay well and offer strong benefits, if we do well, we want everyone to share in that success.
Competitive salary + equity
28 days holiday + bank holidays
Private medical & dental (Bupa)
Pension matched up to 10% (Penfold)
Generous parental leave
Life assurance, critical illness & income protection
Compensation Range: £110K - £130K
