--- title: 'Product Engineer (Frontend) at Atla' canonical: 'https://feeny.ai/job/product-engineer-frontend-atla-london-a9r5k99n5kmn' type: 'job' last_seen: '2026-09-05' --- # Product Engineer (Frontend) at Atla - **Company:** Atla - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-02-11 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.gem.com/atla-ai-com/am9icG9zdDq49Qsnu5MPUcOPy1bUEFDg ## Job description ## About Atla Atla is committed to engineering safe, beneficial AI systems that will have a massive positive impact on the future of humanity. We are a London-based start-up building the improvement engine for AI agents. Become part of our growing world-class team, backed by Y Combinator, Creandum, and the founders of Reddit, Cruise, Rappi, Instacart and more. ## Role As Atla’s Product Engineer, you will build intuitive and novel user experiences that help users automatically discover the underlying issues in their agents—and fix them fast. You will own our customer-facing platform, designing seamless workflows that make AI agent evaluation effortless. As part of your role, you will: - Own and build the platform that lets users automatically find, understand, and fix their agents’ most critical failures by actively contributing to user research, usability testing, and setting the direction of the product. - Design an intuitive and seamless user flow from onboarding to detailed trace analysis, ensuring effortless AI agent evaluation through polished, high-quality UX/UI. - Work closely with founders, product, engineering, and research to translate cutting-edge AI capabilities into intuitive, accessible products that help users ship AI agents with confidence. - Ship end-to-end features across the stack, contributing to APIs, databases, and backend logic when needed to ensure a smooth and scalable product experience. ## Qualifications - 3yrs+ experience at a company known for world-class user experience such as Notion, Lovable, Sierra, or Revolut. - Demonstrated ability to build world-class software products, with a strong emphasis on frontend development:- Proven track record of building and scaling frontend systems, ideally in React and TypeScript. - Experience with relational databases (e.g., PostgreSQL). - Familiarity with deploying applications to cloud platforms (e.g., Azure) and experience with frontend testing frameworks and CI/CD pipelines. - Product-driven engineer with a strong grasp of UX, UI principles, and responsive layouts, focused on delivering exceptional user experiences. ## Nice to have - Experience in developer tools, AI, or ML-related products. - Python proficiency is a plus. - Experience with specific portions of our frontend stack, including Supabase, Vercel, Prisma, NextJS, and React Query. - Experience as an early engineer at a fast-growing startup. ## About you You'll work by and thrive through our core principles: Own the Outcome - Create real value: Every action should deliver tangible, meaningful value for the people who use what we build. - Drive to completion: Do the second 90%. - Do fewer things, better: Prioritize focus over breadth. Back the Team - Collaborate for excellence: The whole is greater than the sum of its parts. - Seek truth: Let the best ideas win, no matter where they come from, and let go of ego. - Argue passionately, then commit fully: Debate fiercely, but once a decision is made, own it like it’s yours. Drive the Mission - Advance AI safety: Every action should contribute towards the safe development of AI. - Go big or go home: “The people who are crazy enough to think they can change the world are the ones who do.” ## Compensation - £90K - £130K GBP - Stake in equity as one of the early joiners - Pension plan - Medical, dental, and vision benefits Join our team to make a dent in the universe by engineering safe, beneficial AI systems! ## About Atla ## Company Overview - **One-liner**: Atla provides an evaluation and improvement platform for AI agents, helping developers automatically detect, diagnose, and fix critical failures. - **Entity Type**: Private (Seed Stage) - **Headquarters**: London, England, United Kingdom - **Founded**: 2023 - **Founders**: Roman Engeler (co-founder & CTO) and others (names not publicly disclosed for all co-founders) ## Core Business - **Primary industry**: AI evaluation & observability, Machine Learning Operations (MLOps), Developer Tools - **Target customers**: B2B – engineering teams building and deploying AI agents (startups to enterprises) - **Mission**: Turn agent noise into actionable insights so teams can ship reliable AI systems with confidence. ## Products & Services - **Atla Platform**: A SaaS platform that ingests agent traces and uses proprietary LLM Judges (Selene and Selene Mini) to automatically flag errors at the step level, cluster recurring failures into patterns, and generate specific, code-level suggestions for fixes. Supports popular agent frameworks (LangChain, CrewAI, OpenAI Agents) and integrates with existing stacks via API. - **Selene & Selene Mini (Open-Source)**: Purpose-built LLM Judges for evaluating agent performance; downloaded 40,000+ times (as of late 2025), 60,000+ times (as of early 2026) [ycombinator.com](https://www.ycombinator.com/companies/atla). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Total funding raised – USD 5.125 million across two seed rounds (June 2023: $125K; December 2023: $5M led by Creandum) [linkedin.com](https://linkedin.com/company/atla-ai). - **Notable Investors/Partners**: Y Combinator (S23 batch), Creandum, plus angel investors including founders of Reddit, Cruise, Rappi, Instacart [linkedin.com](https://linkedin.com/company/atla-ai). - **Growth Signals**: Open-source LLM Judges have seen strong community adoption (60k+ downloads); early customer traction includes a legal AI startup used in 15+ countries and a fast-growing productivity AI startup that doubled improvement shipping speed [ycombinator.com](https://www.ycombinator.com/companies/atla); workforce is lean but globally distributed (UK, US, Switzerland). ## Competitive Advantages - **Deep evaluation focus**: Unlike generic monitoring tools, Atla uses specialized LLM Judges (trained specifically for agent evaluation) to identify root causes rather than just surfacing raw traces. - **Actionable suggestions**: The platform doesn’t stop at detection – it recommends concrete code-level fixes, reducing debugging time from days to hours. - **Open-source credibility**: Releasing Selene models builds trust and community, while also serving as a lead generation channel. - **YC and top-tier investor backing**: Accelerator and venture support from Creandum and prominent founders signals market validation. ## Strategic Focus - **Product development**: Continue improving pattern detection accuracy and expanding support for more agent frameworks and deployment environments. - **Scaling adoption**: Targeting teams building complex agentic systems who are frustrated with manual trace review. Likely moving toward enterprise-grade features (role-based access, compliance, advanced integrations). - **Community building**: Leveraging open-source judges to attract developers and create a feedback loop that improves model performance. ## Why Work Here - **Culture**: Small, highly technical team of AI researchers, engineers, and operational leaders. Emphasis on autonomy and impact – employees own significant parts of the product [ycombinator.com](https://www.ycombinator.com/companies/atla). - **Work environment**: On-site in London (HQ) with remote presence in the US and Switzerland [builtin.com](https://builtin.com/company/atla). Likely hybrid flexibility given global team. - **Notable perks/engineering culture**: Deep technical challenge in AI evaluation; opportunity to shape the nascent category of agent reliability. Open-source contributions and research publications are part of the culture. - **Growth trajectory**: Early-stage startup with strong investor backing and clear product-market fit signal – suitable for those who thrive in high-ownership, fast-paced environments. ## Sources 1. [atla-ai.com](https://atla-ai.com/?stream=top) 2. [linkedin.com](https://linkedin.com/company/atla-ai) 3. [ycombinator.com](https://www.ycombinator.com/companies/atla) 4. [builtin.com](https://builtin.com/company/atla) ## Other roles at Atla - [Research Intern](https://feeny.ai/job/research-intern-atla-london-jb06413zrkja) — London, United Kingdom - [Lead Research Engineer](https://feeny.ai/job/lead-research-engineer-atla-london-qv6gw65pjyfs) — London, United Kingdom - [Chief Scientist](https://feeny.ai/job/chief-scientist-atla-london-x5w01m9bdgys) — London, United Kingdom - [Product Engineer (Frontend)](https://feeny.ai/job/product-engineer-frontend-alaro-london-gjkrkky3t8a0) — London, United Kingdom - [Product Engineer (Frontend)](https://feeny.ai/job/product-engineer-frontend-relace-san-francisco-s47yehc0311k) — San Francisco, CA