Nory · Dublin
Senior Product Engineer - Insights
SENIOR PRODUCT ENGINEER - INSIGHTS LET'S FIX HOSPITALITY, FOR GOOD. Hospitality runs on thin margins, and most operators are stretched trying to protect th...
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 background in forecasting, scheduling, optimisation or other applied data science work, or comfort building alongside machine
learning models in production.
- Experience in hospitality, food service or another operational industry where software has to hold up in the real world.
- A track record of staying with a company as it grew and taking on harder problems over time, rather than moving on quickly.
OUR STACK
Python, FastAPI, React, TypeScript, Node.js, AWS (Fargate, Aurora, SQS), Postgres, MongoDB, Docker
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 and development culture, with a €1,000 personal annual budget plus a quarterly book budget
- €250 home office workspace budget
- Regular team offsites and socials
- Work from anywhere for up to 3 months of the year
- Offices in London, Dublin, or Spain
HOW WE WORK
Our vision is to build a better future for the restaurant industry, one where operators are in control of their businesses and the
people on the floor can build careers they are proud of. To get there we move fast, stay focused and hold ourselves to a high bar.
Our values guide how we work and grow together.
- 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 each other and deliver with urgency
- We act like owners. We take problems on, 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.