Senior Product Engineer - Workforce Management

Let’s fix hospitality, for good. Hospitality is tough – margins are thin, waste is high, and teams are stretched. But it doesn’t have to be this hard. That’s why we built Nory . Our CEO, Conor, knows the pain first-hand. After founding and scaling Mad Egg in Ireland, he got fed up with juggling “market-leading” systems, clunky spreadsheets, and endless printouts. So he set out to build the tool he wished he’d had from day one. Nory is an all-knowing restaurant management system. It blends real-time data with AI predictive analytics, giving operators control of their margins. From food prep to forecasting, it’s operational intelligence that helps restaurants run with consistency, certainty, and profit. The result? Thriving restaurants, better jobs, less waste, healthier margins. Learn more about what we are building here . And we’re just getting started. Fresh off a Series B led by Kinnevik , we’ve grown to 100+ people across Ireland, the UK, Spain and recently, New York – and demand is scaling faster than we ever imagined. The role We're looking for a Senior Product Engineer to join our Workforce Management squad . This is a backend-first role. You'll be designing data models for complex scheduling rules, building APIs that power how restaurants schedule, pay, and manage their people, and owning systems where correctness and compliance matter. You'll work across the full stack, but your foundation is backend, and that's where the hardest problems live. This is also a product engineering role, not a software engineering role. The distinction matters here more than most places. You'll be expected to shape what gets built, not just how - speaking directly with customers, making trade-off decisions without perfect information, defining MVPs, and iterating based on real-world feedback. Find out more about what it means to be a product engineer at Nory here. The WFM squad is responsible for one of Nory's highest-impact product areas - scheduling, labour forecasting, payroll integration, and compliance. We're expanding into the US market and building toward a more automated, AI-assisted scheduling experience. This is a greenfield-heavy environment: you'll be building new systems, not maintaining old ones. We're stack-agnostic in hiring and care most about strong fundamentals and the ability to ramp quickly. Our current stack is Python, FastAPI, React, TypeScript, Node.js, AWS (Fargate, Aurora, SQS), Postgres, MongoDB, and Docker. You must have the right to work in the UK or EU without sponsorship to be considered for this role. What you’ll be doing: Our squads are cross-functional with a high degree of autonomy. You'll own problems end-to-end - from discovery through to production and iteration - collaborating closely with product, design, data, and customer success, in a tight feedback loop with real customers. Key projects you'll be working on: Build labour forecasting tools that predict staffing needs using ML and AI — helping customers anticipate demand fluctuations and schedule the right staff, at the right time Evolve our data model to support complex scheduling patterns, labour rules, and multi-jurisdiction compliance requirements, including US labour law as we scale our New York presence Collaborate with our Data team on scheduling AI that balances business needs, employee preferences, and labour laws — solving real optimisation problems with genuine operational constraints Integrate with payroll and HR systems — building robust APIs and data pipelines that handle sensitive personnel data securely and fail gracefully Build out our payroll product toward an autopilot experience for operators — end-to-end integrations, higher accuracy, fewer manual steps Support our US expansion by working closely with Product and Sales to ship the right capabilities for the market and iterate quickly on real customer feedback 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 What you’ll get in return: 🌎 Remote-first working environment 💰 Competitive salary depending on experience 📈 Meaningful equity, at Nory everyone is an owner! 🌴 35 days of paid leave per year (including bank holidays) 🏥 Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK) 🍼 Enhanced parental leave and baby loss support 📚 Learning & development culture – €1000 personal annual budget + quarterly book budget 🖥️ €250 home office workspace budget 🥳 Regular team offsites & socials 🌎 Work from anywhere for up to 3 months of the year 📍Offices in either London 🇬🇧 , Dublin 🇮🇪 or Spain 🇪🇸 👏 And much more How we work Our vision is to build a better future for the restaurant industry. One where operators are in control, margins are stronger, and frontline teams can build careers they’re proud of. To get there, we move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win – together. These are the values we live by: We serve up impact with a side of profit We prioritise work that delivers real financial results for our restaurant partners. We prioritise speed of service We move fast, unblock quickly, and deliver with urgency. We act like owners We own problems, raise the bar, and build better every day. We win as a crew We grow stronger through feedback, collaboration, and shared wins. We hire humans. At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. What matters to us is how you think, how you work, and what you bring to the table.