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Staff Product Engineer

Accurx · London (Shoreditch)

On-siteSeniorGBP 115k–135k / yrPosted 13 Sept 2026

What this role requires

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Also mentioned, not required: Azure, Python, ML/AI. Worth having, but their absence is not what gets a CV filtered out.

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Job description

📍London/ Hybrid £115,000 - £135,000 + £50,000 share options + Benefits

💬 Accurx is where conversations happen with and about patients.

For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication.

What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices.

Our platform now powers Total Triage to manage patient demand, and Self-Book , which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe , our AI-powered note-taker that drafts medical notes in real-time.

Read the full description (36 more sections)

The team

Our engineers have sat in GP waiting rooms. They've watched practice managers juggle three systems at once to send a single message to a patient. They build for that person.

What sets our Product Engineers apart is that they own the problem, not just the code. They shape what gets built and how - working with Product, Design and Clinical from the earliest stages - and they stay with the systems they build as they evolve. They bring engineering judgment into product decisions, and product thinking into engineering ones.

Our stack is primarily C# on the backend, TypeScript and React on the frontend, running on Azure. ML/AI work uses Python. We don't expect you to know all of it - we expect you to follow a problem wherever it leads.

What you'll be doing

Owning features end-to-end: from refining the problem with clinicians and product managers through to architecture, implementation, rollout, and long-term evolution

Engaging directly with NHS GPs, practice staff and patients to build a genuine understanding of the problems you're solving — research sessions, visiting practices

Designing architecture and API boundaries with the broader system in mind, not just the immediate surface

Holding the quality bar for what you ship: not just that the code works, but that the product is reliable, intuitive and safe in a clinical context

Making the architectural calls that keep our codebase sustainable — improving system health alongside shipping features, not instead of it

Pushing back constructively when something is wrong, and committing fully when a decision has been made

What experience you need to be successful

Comfortable building production software across the stack - you might be strongest in backend or frontend, but you can follow a problem across both to own a feature end-to-end

Proven ability to reason about systems - breaking ambiguous problems into tractable pieces, spotting trade-offs and second-order effects before they become incidents

Comfortable with ambiguity and early-stage problem definition; you shape the work rather than wait for a finished spec

You treat engineering quality as part of the job - managing technical debt pragmatically, reviewing AI-generated output critically, and pushing for the right architectural decisions under real constraints

Curiosity about AI tools and how they change the way you work, with the judgment to know when to rely on them and when not to

What we’re looking for to demonstrate as a Product Engineer at Accurx

You start from the user problem, not the technology. You know what to build, what not to build, and why. In the AI era, that also means knowing what to delegate, what needs human judgment, and what shouldn't exist at all.

You can break ambiguous problems into tractable pieces and see how those pieces connect across boundaries. You spot seams, trade-offs, and second-order effects — thinking both from big to small and small to big.

You can pick up unfamiliar code, systems, and assess AI-generated output. You spot flaws before being told, and you understand why something is wrong.

You have strong expertise in at least one area and can use it to build, debug, and improve real systems effectively. You know what “great” looks like in your domain and can reliably get there.

You own outcomes, not just tasks. You influence across teams, navigate disagreement to reach the right answer, own your mistakes, and push hard for the wins that matter.

You actively experiment with AI tools to push the boundaries of what's possible today, with the scepticism to avoid overhyping what they can do.

You're actively learning and experimenting with AI tools, pushing the boundary of what's possible today, with the healthy scepticism that keeps you from overhyping what they can do.

What’s in it for me?

You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to fix healthcare communication.

£115,000 - £135,000 salary + £50,000 share options

Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life

Flexible working: We are an office-first,, culture and ask that you’re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pm

Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year

Family matters: We offer enhanced parental leave, fertility support and parental loss support

We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!

Compensation: £115K – £135K

• Offer Range £115K – £135K

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