
Job Overview
Location
New York
Job Type
Full-time
Category
Data Science
Date Posted
July 16, 2026
Full Job Description
đ Description
- ⢠Letâs fix hospitality, for good. Running restaurants in the US is brutal - margins are razor thin, waste is high, and teams are stretched to the limit. But it doesnât have to be this hard. Thatâs why we built Nory.
- ⢠Our CEO, Conor, knows the pain first-hand. After founding and scaling Mad Egg in Ireland, he got tired of juggling âmarket-leadingâ systems, clunky spreadsheets, and endless printouts. So he built the tool he wished heâd had from day one.
- ⢠Nory is the 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, itâs operational intelligence that helps restaurants run with consistency, certainty, and profit. The result? Thriving restaurants, better jobs, less waste, stronger margins.
- ⢠And weâre just getting started. Fresh off a Series B led by Kinnevik https://www.nory.ai/blog/nory-series-b-funding-to-revolutionise-restaurant-operations and Accel, weâve grown to 100+ people across Ireland, the UK, and Spain - and now weâre bringing Nory to the US.
- ⢠Weâre now looking for a Solutions Consultant to join our growing Sales team as our first Solutions Consulting hire based in the US. In this role, youâll have the unique opportunity to build our US Solutions Consulting function from the ground up, becoming the technical and commercial credibility behind our most complex deals.
- ⢠WHAT YOUâLL BE DOING:
- ⢠Own solution validation on our biggest deals: Partner with Sales on strategic, mid-market and enterprise opportunities across the US - running discovery, mapping how Nory fits into a prospectâs existing systems, and building the confidence a sceptical buyer needs before theyâll commit.
- ⢠Own technical scoping on complex deals: Map how Nory fits into a prospectâs existing systems - POS, payroll, inventory - and catch anything that could block or derail a deal long before it gets there.
- ⢠Build deep domain credibility: Speak fluently about the day-to-day of running a restaurant or multi-site hospitality business - labour, food cost, waste - so prospects hear a fellow operator, not a script.
- ⢠Run demos that donât feel like demos: Bring real operator credibility into the room. Youâll talk to prospects candidly about the pain youâve lived, not read from a script, and know when to speak, what to leave out, and when to bring the deal team back in.
- ⢠Build the assets that make the function scale: Playbooks, demo environments, competitive battlecards - the stuff that means this doesnât just live in your head.
- ⢠Close the loop with Product and Customer Success: Surface product gaps and workflow nuances early, and hand off cleanly to CS so nothing falls through the cracks after signature.
- ⢠Help build the playbook, not just follow it: This is Noryâs first Solutions Consulting hire based in the US. Youâll shape how this function runs here from day one, working alongside our UK-based Solutions Consultant rather than inheriting a finished process.
- ⢠WHAT YOUâLL BRING:
- ⢠Solutions Consulting or Sales Engineering experience in restaurant technology: ideally with a comparably complex, multi-product hospitality platform.
- ⢠Genuine technical range: you can map and talk credibly about POS, payroll, and inventory data flows without needing someone else to translate for you.
- ⢠Sharp commercial instinct: the kind of judgement that means an AE trusts you alone in a room with a prospect - you know what to say, what to hold back, and when to bring in the rest of the deal team.
- ⢠A self-starterâs comfort with ambiguity: this function is still two people. Youâll be building your own structure here, not working inside someone elseâs.
- ⢠Based in the United States, ideally on the East Coast, with the flexibility to travel regularly to be in front of customers.
- ⢠Nice-to-haves:
- ⢠Direct multi-unit hospitality operator experience - having actually run or worked inside restaurant operations builds a kind of credibility thatâs hard to fake
- ⢠Comfort building reusable assets like playbooks, prototypes, or demo environments
- ⢠Data or analytics literacy
- ⢠If youâre excited by what weâre building, weâd love to hear from youâeven if you donât tick every box.
- ⢠WHAT YOUâLL GET IN RETURN:
- ⢠âď¸ Frequent travel to London and Dublin and regular offsites & socials
- ⢠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 theyâre 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 â together.
- ⢠These are the values we live by:
- ⢠We serve up impact with a side of profit
- ⢠We prioritise speed of service
- ⢠We act like owners
- ⢠We win as a crew
- ⢠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. Please let us know if you require any adjustments so you can bring your best self to the interview process
Skills & Technologies
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About Nory AI, Inc.
Nory AI, Inc. builds an AI-driven platform that helps product and engineering teams generate, manage, and operationalize product requirements, user stories, and technical specs. The platform ingests existing product docs, tickets, and roadmaps to produce structured requirements, acceptance criteria, and test cases, and offers integrations with issue trackers (e.g., Jira) and collaboration tools to synchronize artifacts. Nory emphasizes traceability from high-level goals to implementation tasks, automated prioritization signals, and exportable templates to reduce manual requirements work. The company targets startups and midâsize engineering organizations seeking to speed discovery, reduce rework, and improve alignment between product and engineering.
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