Come join us as a Head of Customer Success - find out why we exist, what you'd actually do, and why nory would be your best next move!
Our CEO ran a restaurant himself, got tired of juggling "market-leading" systems, spreadsheets and printouts, and built the tool he wished he'd had. Nory is now an all-knowing restaurant management system — it blends real-time data with predictive AI so operators get certainty instead of guesswork, from food prep to forecasting.
We're also fresh off a $37M Series B led by Kinnevik, growing fast, and still small enough that one person's work is visible company-wide. Good timing to shape what comes next.
No profit lost.
We're hiring our first Head of Customer Success to build the function from the ground up — based in NYC, reporting into our VP of CS. With projections to over double our revenue YoY through 2027, with North America as our primary growth engine, we want customer success running on an AI-first operating model instead of headcount. You'll design that model, build out the US team around it, and own NRR as a forecastable number that drives how we grow.
You design the CS function for a rapidly scaling book — org, playbooks, tooling, hiring plan. Very few Head of CS roles are actually greenfield at this scale.
Most CS leaders fight for permission to experiment. Here, building an AI-native function is the job — on a product that's itself agentic AI.
Our customers run multi-site operations on razor-thin margins — retention and expansion here are measured in labour cost, food cost and real financial outcomes, not an adoption score.
Co-working hubs in our main cities whenever you want them.
MacBook, monitor, and a budget to make your workspace yours.
Up to 3 months a year, wherever you want to be.
Plus regular team socials in between.
Workshops and learning sessions, on us.
Everyone at Nory is an owner.
Country dependent.
Including bank holidays.
"It's all about making operators more efficient so they can spend more time doing what they love, being with their customers."
Leoni Keogh, Enterprise Implementation Manager
"Turning customer problems into machine learning problems, and picking apart the thinking behind them — that's what keeps this interesting."
Ernest So, Data Scientist
"Too often tech leads with features instead of listening. We take the time to actually understand what operators need first."
Abbi Simms, BDR & Community Lead
Book 30 minutes with our talent team — no prep, no pitch deck, just a conversation about the role and where you'd fit.