At a Glance
- Tasks: Build and own production software features from start to finish, engaging with real users.
- Company: Join a forward-thinking tech company focused on improving healthcare systems.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on quality and user-centric design.
- Why this job: Make a tangible impact in healthcare by solving real-world problems with innovative tech.
- Qualifications: Experience in software development, strong problem-solving skills, and a passion for AI tools.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- 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.
What the job involves
- 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.
- 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.
Senior Product Engineer employer: Accurx
At Accurx, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team of Senior Product Engineers is empowered to take ownership of their work, engaging directly with NHS professionals to create impactful solutions that enhance patient care. With a strong focus on employee growth, we offer opportunities for continuous learning and experimentation, particularly in the exciting realm of AI tools, all within a supportive environment that values quality and user-centric design.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Engineer
✨Tip Number 1
Get to know the company and its products inside out. When you walk into that interview, show us you understand the user problems we’re solving. It’s not just about the tech; it’s about how it impacts real people.
✨Tip Number 2
Be ready to discuss your thought process. We want to hear how you break down complex problems and make decisions. Share examples of how you've navigated ambiguity and shaped projects from the ground up.
✨Tip Number 3
Show off your curiosity! Talk about how you’ve experimented with AI tools and what you’ve learned. We love candidates who push boundaries but also know when to be sceptical about the latest trends.
✨Tip Number 4
Don’t just focus on your technical skills; highlight your ability to collaborate across teams. We’re looking for someone who can influence decisions and own outcomes, so share stories where you’ve made a difference in team dynamics.
We think you need these skills to ace Senior Product Engineer
Some tips for your application 🫡
Show Us Your Problem-Solving Skills:When you write your application, make sure to highlight how you tackle ambiguous problems. We want to see your thought process in breaking down complex issues and how you connect the dots across different areas.
Focus on User Needs:Remember, it’s all about the user problem, not just the tech. In your application, share examples of how you've prioritised user needs over technology for better outcomes. This will show us that you understand what really matters.
Demonstrate Your Curiosity:We love a good dose of curiosity! Talk about your experiences with AI tools and how they’ve influenced your work. Show us that you’re not just following trends but are sceptical enough to know when to rely on them.
Be Authentic and Personal:Don’t be afraid to let your personality shine through in your application. Share your journey, your mistakes, and what you’ve learned along the way. We’re looking for someone who owns their outcomes and can influence others positively.
How to prepare for a job interview at Accurx
✨Understand the User Problem
Before your interview, take some time to think about how you approach user problems. Be ready to discuss specific examples where you've identified user needs and shaped solutions around them. This will show that you start from the user's perspective, which is crucial for a Senior Product Engineer.
✨Demonstrate Your Problem-Solving Skills
Prepare to talk about ambiguous problems you've tackled in the past. Break down your thought process on how you approached these challenges, the trade-offs you considered, and how you connected different pieces of the problem. This will highlight your ability to reason about systems effectively.
✨Show Your Curiosity About AI Tools
Since the role involves working with AI tools, be ready to discuss your experiences with them. Share examples of how you've experimented with AI in your projects, what worked, what didn’t, and how you maintain a healthy scepticism about their capabilities. This will demonstrate your proactive learning attitude.
✨Emphasise Quality and Ownership
Be prepared to discuss how you ensure quality in your work. Talk about your approach to managing technical debt and making architectural decisions. Highlight instances where you've owned outcomes beyond just tasks, showing that you influence across teams and are committed to delivering reliable and intuitive products.
