Nory AI offers an AI-powered restaurant management platform that automates back-office tasks and optimizes labor, inventory, and profitability for restaurant operators.
SENIOR PRODUCT ENGINEER - INSIGHTS LET'S FIX HOSPITALITY, FOR GOOD. Hospitality runs on thin margins, and most operators are stretched trying to protect them. We built Nory. Our CEO, Conor, knows the pain first-hand. He founded and scaled Mad Egg in Ireland and grew tired of stitching together so-called market-leading systems and spreadsheets just to keep the business running. He set out to build the tool he wished he'd had from day one. Nory is a restaurant management system that blends real-time data with AI predictive analytics to give operators real control of their margins. From food prep to forecasting, it is the operational intelligence that helps restaurants run profitably, with less waste and better jobs for the people working in them. Fresh off a Series B led by Kinnevik, we've grown to over 100 people across Ireland, the UK, Spain and New York. Demand is scaling faster than we expected. The role We're looking for a Senior Product Engineer to join our Insights Squad. This is a full-stack, product-focused role on the squad that builds Nory's scheduling and forecasting. You'll work across the full stack, with backend as your foundation, which is where the hardest problems on this team live. As a product engineer, you'll help shape what gets built, working alongside our product and design functions. You'll speak to customers directly, make trade-off decisions without perfect information, and define and ship MVPs that you then improve on real feedback. The squad and the moment: The Insights squad is, in practice, our applied data science team. We own the whole journey, from the data pipeline through to the customer-facing product that operators rely on every day. Right now we are taking our scheduling assistant to general availability and building out our forecasting engine, predicting sales and orders across one-day, one-week and two-week horizons and making those predictions reliable in every restaurant setting. These are genuinely hard computer science problems, and we solve them inside a real, evolving system where we balance shipping quickly against the refactoring that keeps us fast. A lot of the work sits in the space between software engineering and machine learning, in close partnership with our data scientists. 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. WHAT YOU'LL BE DOING Our squads are cross-functional and run with a lot of autonomy. You'll own problems end to end, from discovery through to production and iteration, working closely with product, design, data and customer success in a tight feedback loop with real customers. Key projects you'll be working on: - Build the systems that turn raw restaurant data into real-time insight, helping operators spot opportunities and protect their margins. - Develop embedded analytics that surface the right insight at the right moment inside the product, so operators can act on it without leaving Nory. - Ship enhancements to our forecasting engine, making predictions more accurate and easier to trust, so operators rely on them to plan. - Extend the Insights platform with new capabilities across cost management and business performance, including the move towards dynamic pricing. - Help build a self-serve analytics layer that lets operators explore their own data and understand how the business is performing without needing external tools. - Work on our customer feedback module, where sentiment analysis and automation help brands stay on top of their online presence. - Work closely with peers in Product, Design and Engineering to ship quickly and keep our technical standards high as we scale. WHAT YOU'LL BRING - Backend depth is the primary bar. You've built and owned production backend systems that real customers depend on, including APIs, data models and distributed services. You can talk through specific data modelling decisions you made yourself, the constraints you were working within and why you made the calls you did. You design for the ways a system fails, not only for the path where everything goes right. - You're comfortable across the full stack. You've shipped front-end work in React and TypeScript alongside your backend work, and you move between the two depending on what the problem needs. This squad works closer to an even split between front-end and backend than most, and we want someone who can own work on both sides. - You own problems, not tickets. You can point to things you personally shaped, where you pushed back when a requirement was vague or proposed a different route when the original plan was wrong, and you took responsibility for how it turned out. When you describe your work, you tend to say "I decided" rather than "we decided." - You've built in constrained environments. Whether that was a startup, a high-stakes project inside a larger company or a greenfield build on a tight deadline, you've worked through real ambiguity and shipped something that mattered. You know what an MVP actually is, because you've shipped one. - You engage with customers directly. You've spoken to users, let what you heard change what you built, and can give a specific example of when it did. You treat customer feedback as part of the engineering job and stay close to it. - You're pragmatic under pressure. You've deliberately shipped something rough to get feedback quickly, and you know when a problem needs the right solution and when it needs the fastest one that proves the point. BONUS POINTS - Experience building B2B products at scale, with high volumes of users, traffic or data. - Experience with analytics-driven products, where accuracy and reliability decide whether customers trust what they see. - Professional experience with Python, which is a real plus on this squad. - A ba