Product Engineer

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About Nous

Over 85% of households overpay on their bills. 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.

Nous is the solution to this huge but often overlooked problem. We save our users serious money – Rob, saved £1,030/yr, Christian saved £950/yr, and we have thousands more just like them. They give us rave reviews and our Net Promoter Score is consistently in the high +80s. We’re frequently featured on TV and in print with our views on cost‑of‑living consumer issues.

We’ve built Nous as an AI‑powered assistant that helps households manage and delegate managing their bills, saving them money and time. 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 a well‑funded start‑up led by experienced entrepreneurs that’s growing extremely rapidly. We’ve helped over 150,000 people since the cost‑of‑living crisis started.

We’re a B Corp, formally accredited for our commitment to exceptionally high standards of social and environmental performance, transparency and accountability. We’re proud of our social impact.

Since launch mid‑last year we’ve been rolling out our service through a variety of channels – direct to consumers and also via employers who want to help their teams hang on to more of their hard‑earned cash by using Nous. We are now growing over 10x year‑on‑year (~30% month‑on‑month), and have saved our customers over a half‑million pounds over the last few months alone!

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.

So if you are brilliant and want to build something amazing that changes the world, get in touch.

The role

Millions of households overpay on their bills every day – not by accident, but by design. At Nous, we’re using AI and deep market expertise to flip that system: taking the firepower big businesses have had for years and putting it in the hands of everyday households.

We’re looking for a Product Engineer who wants to weaponise their skills for good. You still love to code, you think from a product‑mindset, and you’re not satisfied until we’ve actually saved a family money and stress.

This is not a role for someone who wants to sit quietly in a corner and complete tickets. We're looking for exceptional individual contributors who wants to raise the bar: excited by hard technical problems, but pragmatic enough to know when “simple and shipped” beats “perfect and late”; someone who instinctively spots risks before they blow up, and still gets a kick out of writing clean, scalable, well‑tested code.

We’re building one of the most ambitious consumer AI services in the UK. That means fast iteration, end‑to‑end ownership and lots of agency. You’ll be a hands‑on technical leader on some of the highest‑leverage areas of our codebase, from building out agentic capabilities to scaling our service logic.

Within your first few months, you might:

  • Design and ship an agentic flow that takes a messy bundle of bills from a member, classifies them, extracts key terms and recommends a better set‑up.

  • Build an internal tool that turns a 10‑step Ops process into a 2‑click workflow, saving the team hours every week and letting us scale to many more members without growing headcount linearly.

  • Lead a spike on a new integration with a major provider’s API, handling flaky responses and edge cases gracefully while keeping the member experience fast and simple.

  • Work with Product and Data to define a metric that actually captures “household peace of mind”, then ship experiments that move it, not just vanity engagement numbers.

You’ll report directly to the CTO, so you’ll be in the room for key architectural and product decisions – not getting them handed to you after the fact. We’re deliberately light on layers of management: exceptional individual contributors shape direction by solving hard problems.

As part of our passionate cross functional team, you will:

  • Take the lead on projects within a high‑context engineering team.

  • Actively contribute to product strategy and wider company goals, not just implementation details.

  • Help shape how our engineering team grows and the technology we use.

  • Promote best practices and a collaborative, low‑ego environment.

  • Develop across the stack, building and operating both backend and frontend services, including robust and resilient integrations with third‑party APIs.

Our stack is optimised to minimise infra overhead and give us type‑safety from database to client. You don’t need to be an expert in every corner from day one, but you do need to be willing to learn fast and pitch in wherever is most useful. Today it includes:

  • TypeScript (Node, React, GraphQL, Prisma)

  • AWS

  • Our own in‑house agentic AI stack (built upon frontier models)

  • PostgreSQL

  • Temporal for durable orchestration

  • Linear, GitHub, Graphite

  • Infrastructure as code using Terraform

  • Omni, Snowflake, Fivetran, Amplitude, and more powering our data stack

As obnoxious as we know the term “AI‑native” sounds like, we’re what others would call AI‑native (not just AI‑enabled) and that’s reflected in how we work and what we build. Everyone at Nous is expected to use AI to work smarter, go faster and solve harder problems, and our engineers are leading the way. Much of what we’re building has no playbook so solving from first principles is part of the challenge.

Finally, we don’t do feature factories or top‑down handoffs. Product, Ops and Engineering work tightly together and our engineers influence every stage of the loop. We work in the open: roadmaps, user insight, internal tools – it’s all visible and up for challenge. If you spot a better way, you won’t need permission. You’ll just ship it.

About You

If you read the following and feel a mix of “this is me” and “this would stretch me”, you’ll probably love being here.

You’re here for the mission

  • You’re drawn to problems around fairness, money and complexity; and to making those things understandable and manageable for people around you.

  • You want to see the impact of your work in real human outcomes: lower bills, less admin, fewer nasty surprises.

  • You’re picky about where you spend your time: if you’re going to work hard, you’d rather it be on something that genuinely helps people.

You think like a PM, not “just” as an engineer

  • You’re happiest when you own a problem end‑to‑end: from a fuzzy user pain (“this renewal letter makes no sense”) through to a shipped solution and the numbers that show it worked.

  • You naturally ask “what’s the smallest thing we can ship to learn?” instead of waiting for a perfect spec.

  • You care about UX, copy and flow as much as correctness, because you’ve seen that a small wording change can make the difference between action and confusion.

You’re a pragmatic full‑stack builder

  • You’re comfortable working across the stack in modern Typescript, building robust backend services (Node/GraphQL/Prisma or similar) and polished UIs in React (or another modern framework).

  • You understand data flows and state management in web apps, and you’ve felt the pain when they’re not designed well.

  • You write clean, practical code that other people can understand and extend. You know when to abstract, and when to keep it brutally simple to go fast.

You bias to action and learn from reality

  • Ambiguity energises you. You can take a fuzzy problem, slice it into sensible bets and ship something real in days, not months.

  • You treat production as your ultimate feedback loop. Logs, dashboards and user behaviour are how you decide what to do next.

  • You’re happy to delete your own code when reality disagrees with your idea.

You make the people around you better

  • You enjoy explaining complex ideas simply, pairing on gnarly problems and leaving things clearer than you found them.

  • You’re open, direct and kind: you can disagree without drama, and you care more about the right outcome than being right.

  • Over time, you want to grow your scope: shaping the stack, mentoring others and helping raise the bar for how we build product.

You might have even faced our challenges before

You don’t need to tick every box, but it’s a bonus if you have experience with the following:

  • Applying GenAI in very practical, user‑facing ways, at the bleeding edge of the technology where you have to innovate rather than imitate existing solutions (i.e., not building an LLM‑wrapper).

  • Orchestrating long‑running workflows and complex integrations with third‑party APIs.

  • Working with data pipelines and analytics to uncover new ways to save our members money and time.

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.

#J-18808-Ljbffr”, “datePosted”: “2026-05-15”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Nous”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__432646021__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
Company: Nous
Apply for the Product Engineer
Location: London
Job Description:

About Nous

Over 85% of households overpay on their bills. 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.

Nous is the solution to this huge but often overlooked problem. We save our users serious money – Rob, saved £1,030/yr, Christian saved £950/yr, and we have thousands more just like them. They give us rave reviews and our Net Promoter Score is consistently in the high +80s. We’re frequently featured on TV and in print with our views on cost‑of‑living consumer issues.

We’ve built Nous as an AI‑powered assistant that helps households manage and delegate managing their bills, saving them money and time. 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 a well‑funded start‑up led by experienced entrepreneurs that’s growing extremely rapidly. We’ve helped over 150,000 people since the cost‑of‑living crisis started.

We’re a B Corp, formally accredited for our commitment to exceptionally high standards of social and environmental performance, transparency and accountability. We’re proud of our social impact.

Since launch mid‑last year we’ve been rolling out our service through a variety of channels – direct to consumers and also via employers who want to help their teams hang on to more of their hard‑earned cash by using Nous. We are now growing over 10x year‑on‑year (~30% month‑on‑month), and have saved our customers over a half‑million pounds over the last few months alone!

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.

So if you are brilliant and want to build something amazing that changes the world, get in touch.

The role

Millions of households overpay on their bills every day – not by accident, but by design. At Nous, we’re using AI and deep market expertise to flip that system: taking the firepower big businesses have had for years and putting it in the hands of everyday households.

We’re looking for a Product Engineer who wants to weaponise their skills for good. You still love to code, you think from a product‑mindset, and you’re not satisfied until we’ve actually saved a family money and stress.

This is not a role for someone who wants to sit quietly in a corner and complete tickets. We’re looking for exceptional individual contributors who wants to raise the bar: excited by hard technical problems, but pragmatic enough to know when “simple and shipped” beats “perfect and late”; someone who instinctively spots risks before they blow up, and still gets a kick out of writing clean, scalable, well‑tested code.

We’re building one of the most ambitious consumer AI services in the UK. That means fast iteration, end‑to‑end ownership and lots of agency. You’ll be a hands‑on technical leader on some of the highest‑leverage areas of our codebase, from building out agentic capabilities to scaling our service logic.

Within your first few months, you might:

  • Design and ship an agentic flow that takes a messy bundle of bills from a member, classifies them, extracts key terms and recommends a better set‑up.

  • Build an internal tool that turns a 10‑step Ops process into a 2‑click workflow, saving the team hours every week and letting us scale to many more members without growing headcount linearly.

  • Lead a spike on a new integration with a major provider’s API, handling flaky responses and edge cases gracefully while keeping the member experience fast and simple.

  • Work with Product and Data to define a metric that actually captures “household peace of mind”, then ship experiments that move it, not just vanity engagement numbers.

You’ll report directly to the CTO, so you’ll be in the room for key architectural and product decisions – not getting them handed to you after the fact. We’re deliberately light on layers of management: exceptional individual contributors shape direction by solving hard problems.

As part of our passionate cross functional team, you will:

  • Take the lead on projects within a high‑context engineering team.

  • Actively contribute to product strategy and wider company goals, not just implementation details.

  • Help shape how our engineering team grows and the technology we use.

  • Promote best practices and a collaborative, low‑ego environment.

  • Develop across the stack, building and operating both backend and frontend services, including robust and resilient integrations with third‑party APIs.

Our stack is optimised to minimise infra overhead and give us type‑safety from database to client. You don’t need to be an expert in every corner from day one, but you do need to be willing to learn fast and pitch in wherever is most useful. Today it includes:

  • TypeScript (Node, React, GraphQL, Prisma)

  • AWS

  • Our own in‑house agentic AI stack (built upon frontier models)

  • PostgreSQL

  • Temporal for durable orchestration

  • Linear, GitHub, Graphite

  • Infrastructure as code using Terraform

  • Omni, Snowflake, Fivetran, Amplitude, and more powering our data stack

As obnoxious as we know the term “AI‑native” sounds like, we’re what others would call AI‑native (not just AI‑enabled) and that’s reflected in how we work and what we build. Everyone at Nous is expected to use AI to work smarter, go faster and solve harder problems, and our engineers are leading the way. Much of what we’re building has no playbook so solving from first principles is part of the challenge.

Finally, we don’t do feature factories or top‑down handoffs. Product, Ops and Engineering work tightly together and our engineers influence every stage of the loop. We work in the open: roadmaps, user insight, internal tools – it’s all visible and up for challenge. If you spot a better way, you won’t need permission. You’ll just ship it.

About You

If you read the following and feel a mix of “this is me” and “this would stretch me”, you’ll probably love being here.

You’re here for the mission

  • You’re drawn to problems around fairness, money and complexity; and to making those things understandable and manageable for people around you.

  • You want to see the impact of your work in real human outcomes: lower bills, less admin, fewer nasty surprises.

  • You’re picky about where you spend your time: if you’re going to work hard, you’d rather it be on something that genuinely helps people.

You think like a PM, not “just” as an engineer

  • You’re happiest when you own a problem end‑to‑end: from a fuzzy user pain (“this renewal letter makes no sense”) through to a shipped solution and the numbers that show it worked.

  • You naturally ask “what’s the smallest thing we can ship to learn?” instead of waiting for a perfect spec.

  • You care about UX, copy and flow as much as correctness, because you’ve seen that a small wording change can make the difference between action and confusion.

You’re a pragmatic full‑stack builder

  • You’re comfortable working across the stack in modern Typescript, building robust backend services (Node/GraphQL/Prisma or similar) and polished UIs in React (or another modern framework).

  • You understand data flows and state management in web apps, and you’ve felt the pain when they’re not designed well.

  • You write clean, practical code that other people can understand and extend. You know when to abstract, and when to keep it brutally simple to go fast.

You bias to action and learn from reality

  • Ambiguity energises you. You can take a fuzzy problem, slice it into sensible bets and ship something real in days, not months.

  • You treat production as your ultimate feedback loop. Logs, dashboards and user behaviour are how you decide what to do next.

  • You’re happy to delete your own code when reality disagrees with your idea.

You make the people around you better

  • You enjoy explaining complex ideas simply, pairing on gnarly problems and leaving things clearer than you found them.

  • You’re open, direct and kind: you can disagree without drama, and you care more about the right outcome than being right.

  • Over time, you want to grow your scope: shaping the stack, mentoring others and helping raise the bar for how we build product.

You might have even faced our challenges before

You don’t need to tick every box, but it’s a bonus if you have experience with the following:

  • Applying GenAI in very practical, user‑facing ways, at the bleeding edge of the technology where you have to innovate rather than imitate existing solutions (i.e., not building an LLM‑wrapper).

  • Orchestrating long‑running workflows and complex integrations with third‑party APIs.

  • Working with data pipelines and analytics to uncover new ways to save our members money and time.

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.

#J-18808-Ljbffr…

Posted: May 15th, 2026