Nous is an AI-powered assistant that helps households manage their bills, saving them money and time. Our mission is to make people’s lives simpler and fairer, starting with the 30 million households here in the UK, and eventually, far beyond.
Over 85% of households overpay on their bills. That’s the scale of the problem we’re here to solve and it’s hiding in plain sight. It’s also fiendishly complex. What we’re building looks elegantly simple to the user, but under the bonnet it’s one of the most ambitious consumer AI systems in the UK. We’re not iterating on someone else’s playbook; we’re writing a new one. If you want to work on something obvious or easy, this isn’t it.
We’re backed by top-tier investors, led by a seasoned founding team and growing seriously quickly — more than 3,000% year-on-year. That makes Nous one of the UK’s fastest-scaling consumer start-ups. Since launch, we’ve helped hundreds of thousands of households get to grips with their bills - and we’re just getting going.
We’re immensely proud of what we’ve built so far. Our Net Promoter Score is consistently above +80, and our members (people like Lindsay, James and Vicky) give us rave reviews. Now we’re scaling that experience to millions more people, making Nous feel less like another finance app and more like something that quietly sorts your life out in the background. The product might look like magic but making it work is anything but.
Nous is intentionally lean, by design. We’re an AI-native company, not just an AI-native product. Everyone here is expected to use AI to its full potential, whether that’s debugging a system, streamlining a workflow or improving how we serve customers. We don’t hire layers of middle management; we hire smart, high-agency people and give them real ownership.
It’s not easy. We move fast, think deeply, and hold ourselves to high standards. We’re proudly office-first (based near Farringdon station) because we believe high-context collaboration helps us build better. The kitchen’s well-stocked, the coffee’s excellent, and so is the team.
If you’re brilliant, ambitious and want to build something amazing that changes the world by improving people’s lives, get in touch.
<aside> ✉️ Couldn't find the role you were looking for? Send your CV (or LinkedIn profile) to [email protected] along with some context about what you could help us do.
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We already have strong Product Engineers who think in products, not tickets, and own problems end-to-end.
As a Staff Product Engineer, your job is to multiply that: to pick and lead the big, often cross-team bets that change how well we help members — how quickly a new household goes from “I think I’m overpaying” to “Nous is handling it”, how many people actually get tangible value through Nous, and how little human effort it takes behind the scenes.
This is a hands-on individual contributor role, not a people-management role. You’ll spend most of your time in code, system design and product thinking - but at a scope that cuts across teams and directly shapes company direction. If you desire, there is also space and opportunity for growing into a people-management role down the line, as we grow.
We try to keep our stack simple & modern, while safe & boring in the right ways:
We ship to production daily, favour small, reversible changes, and keep a close eye on the user impact of what we ship.
You will:
Own 2–3 high-leverage bets per year, not just projects.
Turn fuzzy problems into clear plans.
Start from messy reality — confusing renewal letters, half-complete data, stressed households — and define the problem, the metrics that matter, constraints, and a concrete technical approach.
Ship small, end-to-end slices every 1–2 weeks.
Design work so that real members feel the benefit often: a new flow, a clearer explanation, a safer orchestration. Each slice has a before/after we can actually look at.
Be a domain owner in one or more critical areas (e.g. front-end, workflows/Temporal, infrastructure, agentic-AI core, data modelling).
You’ll set and evolve the patterns and primitives others build on, and keep them simple, understandable and teachable.
Design “paved roads” for a small, fast team.
Spot recurring problems and create stable contracts, libraries and workflows so others don’t have to reinvent them. You care about reliability and observability, but right-size them for a ~10-engineer-and-growing team.