Senior Product Engineer - Workforce Management

You must have the right to work in the UK or EU without sponsorship to be considered for this role.

What you’ll bring:

• Backend depth is the primary bar. You've built and owned production backend systems — APIs, data models, distributed services — that real customers depend on. You can describe specific data modelling decisions you made personally, the constraints you were navigating, and why you made the trade-offs you did. You've designed for failure, not just for the happy path. - You work across the full stack. Frontend isn't your comfort zone, but it's not a blocker either. You've shipped full-stack features end-to-end and you're comfortable doing it again. You don't wait for a frontend specialist to pick up your backend work. - You own problems, not tickets. You can point to things you personally shaped — not just delivered. You've pushed back on requirements when the problem wasn't well-defined, proposed a different approach when the original plan was wrong, and taken accountability for outcomes, not just output. When you describe your work, you say "I decided" not "we decided."

• You've built in constrained environments. Whether that's a startup, a high-stakes initiative inside a larger company, or a greenfield system with a tight deadline — you've navigated genuine ambiguity, made decisions without perfect information, and shipped something real. You know what an MVP actually means, and you've shipped one. - You engage with customers directly. You've spoken to users, let that change what you built, and can give a specific example of when it did. You don't treat customer feedback as something that happens upstream of engineering. - You're pragmatic under pressure. You've deliberately shipped something imperfect to get fast feedback. You know when to build the right solution and when to build the fastest one that proves the point. You can explain the difference. Bonus points if you have:

• Experience building scheduling systems, labour compliance tools, payroll integrations, or workforce management products

• Familiarity with US labour law, FLSA compliance, or multi-jurisdiction employment rules

• Experience designing systems that handle regulatory or compliance constraints - where data integrity and correctness aren't optional

• Exposure to AI or ML in operational contexts - forecasting, optimisation, or scheduling automation

• Prior experience mentoring engineers or raising technical standards across a team