Senior Product Engineer

Description

The company turns scattered spend records, held across many systems and old technology, into one reliable base that businesses can trust. Customers can then ask questions in plain language and act on the answers.

The company is well funded and growing quickly. It has already processed more than £1 trillion of spend for some of the largest and best-known companies in the world, and its partners use it to run major transformations much faster.

You'd join a small team with real influence over the product, the architecture and how engineering develops. The role will grow as the company does.

Location: London, near London Bridge.

Responsibilities

• Design, build and release polished frontend experiences across the company's platform, from early definition through to production.
• Talk with customers directly, then turn what you learn into product decisions.
• Create interfaces that make large datasets, live metrics and AI-generated analysis easy to read and use.
• Shape the product around the limits of AI, so customers can tell when an answer deserves trust and how to check it.
• Push what applied AI can do, both in the product and in the way the team builds it.
• Own problems end to end, making sound calls on architecture, usability, performance and maintainability.
• Success looks like customers moving from data to decisions by exploring and acting on AI analysis, not just searching through data; customers seeing where an answer came from and when to check it, so their trust grows with use; and components you build becoming fast, consistent and reused across the product.

Requirements

• A senior product engineer who cares as much about the problem as the code and takes ideas all the way to production. Experience in enterprise data or procurement is not required. The team values how you think and the products you have built.
• Strong JavaScript and TypeScript fundamentals, with experience building high-quality frontend applications.
• Experience making complex data, information or workflows clear enough for people to understand and act on.
• A clear view of what AI systems can and can't do, and how good product design handles outputs that aren't always right.
• Sound judgement on architecture and product trade-offs, and the ability to explain the reasoning behind your decisions.
• A track record of taking problems from investigation through to production.
• High standards for testing, code quality and maintainability, and clear communication with engineers, customers and stakeholders.
• A founder's drive: you spot a problem and work out how to solve it.
• Startup experience isn't essential, but you need the pace, initiative and judgement to thrive in one.

Conditions

Based in London, near London Bridge, with a hybrid setup of 2 in-person days a week.

Visa sponsorship is available for the right candidate.

Start as soon as possible.

Hiring process: intro call, background interview, technical interview, final interview, then offer, referencing and start.