About this role
Salary: £29,000 - 69,000 per year
Requirements: Strong grounding in computer science fundamentals, including algorithms, data structures, and system designSolid understanding of ML fundamentals and how modern AI systems behave in productionComfort reading, reviewing, and discussing technical design documentsHands-on exposure to AI-powered products, including LLM-based systemsExperience working with model evaluation, prompt or pipeline iteration, and feedback loopsStrong intuition for model limitations, hallucinations, bias, and driftSignificant experience owning complex, technical products end-to-endProven ability to work closely with senior engineers and ML teamsStrong judgment and decision-making ability in ambiguous, fast-moving environmentsAbility to balance ambition with technical and operational realityExperience shipping AI-heavy consumer productsBackground as an engineer or highly technical product managerExperience defining evaluation metrics for ML systemsStrong intuition for AI UX patterns and failure handlingPrior experience in zero-to-one product environments Responsibilities: Research and define end-to-end AI system requirements from capability to behavior to user impactTranslate model capabilities, data constraints, and evaluation results into clear product and system decisionsMake hard trade-offs across quality, latency, cost, reliability, and UXWork closely with ML, backend, and mobile engineers on system design, evaluation, and iterationDefine and evolve evaluation frameworks across offline metrics, online experiments, and human feedbackDrive execution with clear specs, strong judgment, and disciplined prioritizationEnsure systems ship quickly, safely, and reliably, with strong feedback loopsOwn product quality end-to-end, including correctness, predictability, and user trust Technologies: AIBackendLLMMobileProduct ManagerUX UI Design More:
We are building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising, and workflows. Our product is designed for high reliability in long-running workflows, persistent context, and real-world task completion, handling multi-step reasoning and external tools while remaining reliable despite non-deterministic model behavior. We are a high-talent-density, hands-on team that makes decisions collectively, moves quickly, and balances shipping high-quality work with learning. We value structure, judgment, and independent execution as we work to deliver a truly magical product with practical benefits to users globally. The interview process is typically 3 to 4 interviews, conducted virtually and/or onsite, with applications reviewed by our technical team.
last updated 40 week of 2026