Product Engineer in London

Requirements

• Proven track record of building AI-powered products - not just bolting a chatbot on, but thinking hard about prompting architecture, model behaviour, and what genuinely good AI UX looks like.
• (Desirable) Experience in EdTech, consumer subscription apps, or B2B SaaS with an end-user product component.
• Technically hands-on: comfortable enough with code to prototype ideas, run evals, and debug model outputs using AI coding tools. You don't need to be a software engineer, but you should be able to move fast without waiting for one and move towards contributing to the codebase (Ruby, Rails, Javascript, Postgres, and AWS).
• (Desirable) Familiarity with UK education - exam boards, curriculum structure, how schools buy and adopt software.
• Deep understanding of LLM fundamentals - context windows, RAG, prompt engineering, fine-tuning trade-offs, and how to measure model quality rigorously.
• (Desirable) Experience taking a product from early traction to scale - you've navigated the messy middle and know what it takes.
• Strong product instinct with experience owning end-to-end product lifecycles - from discovery and definition through to delivery and iteration - across B2C and/or B2B contexts.
• (Desirable) Have worked alongside a Growth team and understand how product and growth interlock.
• Data-driven decision-maker: comfortable with analytics tools (e.g. Metabase, Mixpanel, Google Analytics) and able to define what success looks like before a single line of code is written.
• (Desirable) Have worked in a company at the 20–50 person stage, where everyone does more than their job title suggests.
• Excellent communication and stakeholder management skills - able to align engineers, commercial teams, and a founder-CEO behind a clear product direction without a lot of process.
• Passionate about impact: you care about outcomes, not outputs, and you want the product you build to genuinely change life chances.

What the job involves

• Own the AI layer of Zero Gravity Tutor - prompting strategy, model selection, context architecture, retrieval design, and output quality across every subject and mode.
• Build and iterate on the systems that make Zero Gravity Tutor genuinely adaptive - coaching that responds to how each student thinks, learns, and prepares.
• Tackle the hard AI problems: moving from objective subjects into the subjective, solving for evaluation at scale, and maintaining quality as the product expands.
• Design and run rigorous evals to measure output quality, hallucination rates, and whether the product is actually helping students learn.
• Prototype new features hands-on - you'll write code, build POCs, and stress-test ideas before committing engineering resource.
• Own the product roadmap - sequencing bets, setting priorities, and keeping the team focused on what moves the needle for students.
• Define what success looks like and hold the team to it: clear metrics on every release, honest post-mortems when things don't land, and a bias toward learning fast.
• Act as the voice of the student and the teacher - run user research, synthesise feedback, and translate real-world insight into product decisions.
• Work closely with Growth and Commercial to design the loops that turn engaged users into a sustainable, scaling business.
• Shape the product experience for schools and the educators inside them - a largely unsolved problem, and one Zero Gravity is well-placed to own.
• Work directly with partner schools and teachers to validate what we're building, gather the insight that shapes the roadmap, and earn the trust that unlocks growth.
• Help define how Zero Gravity Tutor is packaged and positioned for institutional buyers - working with the commercial team to turn product value into revenue.
• Champion a culture of curiosity, testing, and learning - challenge assumptions, seek new ideas, and help raise the bar for product excellence.
• Collaborate closely with the engineering squad - set clear priorities, unblock decisions, and keep pace high.
• Contribute to Zero Gravity's wider AI strategy, sharing what works in Zero Gravity Tutor across the organisation.