Staff Product Engineer

About Nous

Nous is a household AI agent. It takes over the bills and admin people don't have time for and acts for them: switching energy, buying insurance, cancelling forgotten subscriptions, managing the family calendar. Nearly 250,000 UK households have signed up, and another joins every minute.

We think the real value of AI isn't writing amazing cover letters, it's doing useful things in the real world for real people. That's the hard part, and a brilliant product is only half of it. An energy switch takes weeks, so our agents run on long-running workflows, not a single chat turn. Cancelling a subscription means a browser agent handling the code Apple sends to your phone. Buying insurance meant getting our regulatory principal comfortable with an agent doing it end to end (a UK first), which comes down to knowing exactly when the LLM should hand over to rules because a mistake would cost someone real money.

We're about 30 people running one agent across energy, broadband, mobile, insurance, mortgages and subscriptions (with more being added), each with its own suppliers, rules and ways of going wrong. With far more problems than people, a person or small team owns each one end to end, from spotting it in the data or a customer conversation to shipping the fix. And because the agent acts, you find out quickly whether the fix worked.

Everyone builds here: a product engineer launched our subscription cancellation product within a couple of months of joining, and a PM rebuilt our WhatsApp agent.

And it's working. We're growing more than 20x year on year, with a market-leading NPS above +80, and we manage well over half a billion pounds of household spending. We've raised more than $30M from Heartcore, Mosaic and a who's who of entrepreneurs who founded Monzo, GoCardless, lastminute.com and Onfido. But the real draw is the team - ask anyone here why they joined and you'll get some version of "to do great work with really smart people".

The goal is household life that's simpler, cheaper and fairer, and most of that is still to build.

A note on product

There’s ‘product’ as in the web application that guides our users through the complex world of bills and household admin. It acts as their interface to our management service, as well as all the behind the scenes capabilities needed to orchestrate and deliver that service - actually saving our users money and time. Try it here: app.nous.co/signup (it’s free!)

Then there’s ‘product’ as experienced by our users - which is a service which makes life simple and fair. To deliver this we’ve built a set of powerful capabilities that let us run and improve the service efficiently at scale: agentic communication, multimodal data extraction, orchestration for long-running operational processes, recommendations, our own agentic harness, and more. We compose these into executable workflows that deliver real outcomes for members, like switching someone to a better energy deal without the hassle.

Behind the scenes, we’ve built the technology (we call it Blueprints) that acts as rails for us to quickly expand on the breadth and depth of our service lines.

The role

We already have strong Product Engineers who think own problems end-to-end.

Some examples of the types of problems product engineers solve here:

• Anton led and shipped an entire product line around open banking and subscription management three months after joining. Yes, he had support from legal, design, commercial and his team (we even became FCA registered). But one product engineer still took it from idea to a best-in-class product in the category.

• Ed led the our latest Blueprint architecture, which now powers every service line. Changes to complex, long-running workflows that once took weeks can now sometimes take minutes. All safely, reliably and with full type safety.

• Tim led and shipped our car insurance product line, in less than 3 months. We built a journey where an agent performs the discovery and purchase journeys - something that's not been done before and needed problem solving at the intersection of engineering, product and regulatory.

• As a team, we built our own agentic harness (we call it super-engineer); it’s enabled us to build faster, investigate complex cross-system issues effectively; and it self-improves.

As a Staff Product Engineer, your job is to also multiply that: to pick and lead the big, often cross-team bets that change how well we help members; e.g., 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.

How we build

We try to keep our stack simple & modern, while safe & boring in the right ways:

• Full-stack TypeScript, React, Postgres, and Temporal for long-running orchestration.

• Infra: AWS, Terraform, strong observability via Sentry and Datadog (full-stack, not just logs).

• Data: we lean heavily on Snowflake, Omni, dbt, Fivetran, Amplitude and Segment – and we’ve even built some of our own tooling to understand how well we’re helping members.

• AI: we work with messy billing and usage data, and have been building “agentic” brains that can read, reason and safely act on behalf of members.

• And we use Github, Linear, Graphite, and Blacksmith every day. We choose the best tool for the job, and don’t obsess around specific technologies.

We ship to production daily, favour small, reversible changes, and keep a close eye on the user impact of what we ship.

What you’ll do

First and foremost, you're a Product Engineer (please review the description there). Beyond that, you will:

• Own 2–3 high-leverage bets per year.

• Turn fuzzy problems into clear plans.

  Start from messy reality 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.

• Act as a multiplier for other engineers.

  Mentor emerging tech leads and seniors, embed with teams when they’re stuck, and give reviews that both catch issues and teach patterns so people leave stronger than they arrived.

• Create written clarity around the work you lead.

  For example, for each big initiative, there’s one canonical, skimmable doc people across Product/Ops/Eng can rely on it.

You’ll report directly to the CTO and work closely with Product, Ops, and rest of leadership. There aren’t many layers: how you frame problems and ship solutions will directly influence what the company does next.

What year one might feel like

In your first 6–12 months, you might:

• Re-design how new members see value.

  Take the journey from “upload a pile of bills” to “see an accurate and optimal recommendation” and cut it in half: better flows, smarter document understanding (which may require helping the user to find the right document), clearer explanations, safer automation. You’ll know it worked because more people measurably save more with Nous.

• Invent and roll out a standard pattern for long-running switches.

  For example: “Our agent asks a user on WhatsApp for missing info → member replies on WhatsApp → our workflows pick up cleanly and continue”. You’d define the flows, error states, timeouts, logging and SLOs, build the helper libraries, and get them adopted across multiple categories with minimal custom code.

• Own the front-end platform or another core domain.

  For example, decide how we do routing, data fetching, error handling and state management better; help engineers ship polished, accessible UI quickly; develop coding patterns that can help us, or even non-engineers, build 10-100x faster through AI-assisted coding.

Throughout, you’ll be shipping code regularly, not just writing docs or drawing diagrams.

How this role is different?

Compared with a Product Engineer, as Staff you:

• Operate at the level of company bets, not just team projects.

• Define and evolve the patterns other engineers rely on, rather than just using them.

• Change how engineering works across Nous, not just within one squad.

• Are expected to grow other leaders, not just ship more yourself.

If that step up in scope and leverage – while staying deeply hands-on – sounds like your sweet spot, you’ll probably enjoy this.

So, … is this you?

• You’re hungry and product-obsessed: you care as much about the member outcome and UX as you do about the elegance of the system behind it.

• You’ve led fuzzy, cross-functional bets before – pulling together product, ops and engineering to ship something that really moved a metric.

• You get frustrated when you see wasted effort or avoidable complexity, and you naturally design paved roads so others don’t trip on the same things twice.

• You’re happiest when you’re hands-on in code, but you also enjoy writing the doc, drawing the diagram, and bringing others with you.

• You think in systems and primitives, not just features: contracts, workflows, failure modes, observability.

• You enjoy mentoring, growing, and unblocking other engineers, can demonstrate that you’ve been effective at it, and feel a bit restless if you’re just shipping your own tickets.

• You’re comfortable with our stack, and can demonstrate expertise on key parts of it.

• You prefer a small, sharp, in-person team over a huge org with lots of pre-defined processes, and you’re itching for a “big unlock” moment to have outsized impact.

If this resonates and you can demonstrate it, we'd love to talk to you.

Remuneration and benefits

Compelling packages, including meaningful share options with life-changing upside. We’ve raised enough money to pay real salaries. We're building something great together and we all share in the upside. If we win, we win together.

An environment where you can do your best work:

• 🏢 A great office set up for lots of collaborative working. We already need more whiteboards

• 💻 The equipment / setup / training you need to do your best work (and of course, AI subscriptions, including Claude Code Max tier)

• 🤝 A high-context environment with lots of exposure to the big decisions - be in the room when it happens (literally)

• 🏡 Flexibility around remote work. If you sometimes just need to get your head down, that's fine

• ☕ Very good coffee

• 🍽️ A well-stocked kitchen (featuring a wildly popular toastie maker) so you can always make yourself a breakfast or light lunch on the house

• 🎉 Informal social every week, something bigger every month, plus a set-piece event in the summer and again at Christmas - we're not robots!

• ✈ 33 days paid holidays (including bank holidays)

• 💊 Health and dental cash plans, including an employee assistance programme

• 🚴 Travel benefits, (e.g., the cycle-to-work scheme)

• 💰 A generous cash referral bonus if you introduce us to someone who joins the team

Nous has an office-first culture (i.e., at least 3 days a week, more context on it here). That means we encourage in-person working, and most people do work from the office in Farringdon most of the time. We do a lot of brainstorming, problem-solving and interaction within the team and presence makes this more effective. It also helps ensure people have good peripheral awareness and high context. But we are pragmatic not doctrinal about this, and recognise that some types of work can sometimes be done remotely.