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MarginEdge seeks a senior, technically fluent Product Director to lead the Data Production division. You will own the data production value chain, oversee integrations, and guide data architecture across a range of sources.
This role reports to the Chief Product Officer and drives a high‑leverage team at the center of restaurant back‑of‑house tech. You will transform ambiguous problems into a clear backlog, collaborate with engineering and analytics, and help mature data pipelines, pricing
MarginEdge is an AI-forward company helping restaurant operators take greater control of their back of house, so they can spend less time buried in admin and more time doing what they love. Sound like your kind of thing? Great, let's dive in.
We're looking for a senior, technically fluent Product Director to lead our Data Production division, the team responsible for the integrations, tools, and workflows that transform a wide range of restaurant operational data into the best in the industry. This team leverages the whole range of processing practices, including algorithmic, machine learning, LLM, and human-in-the-loop solutions to combine and analyze customer recipes and inventory, API ingestions, and even mobile phone snaps. The ideal candidate is comfortable working across a range of solutions and technical system requirements to create high quality, accurate data as effortlessly as possible.
As Product Director of the Data Production Division, you’ll need analytical rigor and sufficient technical depth to oversee complex considerations like data lineage, pricing calculations, and API architecture, paired with the product management experience to understand how to transform ambiguous operational problems into a clear, prioritized backlog, with intuitive customer-facing interfaces to support successful and sustainable management. This role is a supervisory role overseeing the Product Management Team, and reports directly to the Chief Product Officer.
If you love bringing order to complex data systems, obsess over correctness and traceability, and want to lead a high-leverage team at the center of the restaurant industry’s leading back of house platform, we'd love to meet you.
As a team built by former (and current!) restaurant operators, our mission is to bring operators the same energy, attention to detail, and passion that they bring to their guests. Our culture is deeply rooted in service, partially because that’s where so many of our team come from (including everyone on our Business Development team), but also because we believe it is just the right way to run a business. We design our software with profound empathy for the complexity of running a restaurant, and the goal of making the magic just a little easier for operators by taking the complex (read: very annoying) back office tasks off their plate, while empowering them with real-time data.
Our founders share a deep history in both owning and operating restaurants and in building successful tech companies. We are venture-backed and serve 12,000+ restaurants across the US and Canada.
We enable restaurants to make magic while knowing we are doing the same for them.
We have the utmost respect for our clients and because of this, we are unable to hire their current employees.
Own the Data Production Value Chain
The anticipated salary range for this role is $180,000–$210,000 annually. Where a candidate falls within that range depends on a variety of factors, including experience, skills, qualifications, geographic location, and internal equity. In addition to base salary, this role may be eligible for bonus opportunities and our comprehensive benefits package.
Imagine the fun of a great restaurant - surrounded by a team of people (including some that you help to manage!) who care about hospitality, care about quality, and care about each other - then subtract the long nights, weekends, drunk customers at the bar...et voila, MarginEdge!
We work hard, we work fast and we fuel our work with a commitment of transparency from leadership, straight talk and trust between teams. We believe that the best people do their best work when they feel empowered - so whether you are remote or in our office (likely eating a catered lunch from our clients in our baller, brand new penthouse HQ in Ballston) you get to work with your manager to call your shot on what works best for you. Did we mention it has a full commercial kitchen and is walking distance (covered walking, that is) from the metro?
Check out our 100% “Recommend to a Friend” rating from anonymous employee reviews on Glassdoor.
Oh, and our recognition in the Washington Post as a top small businesses to work for in 2021, 2022, 2023, 2024 and 2025!
And most important, what our customers think about our work on Capterra and G2 Crowd.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran, marital, disability status or any other characteristic protected by law. You be you. While we are proudest of our commitment to exceptional culture and creating a truly excellent work environment, we see our benefits as an extension of that belief. Our benefits package is designed to be exceptionally competitive and a reflection of our commitment to a best-in-class workplace for all.
As a team built by former (and current!) restaurant operators, our goal to bring our clients the same energy, attention to detail and passion that they give their guests. Our culture is deeply rooted in service—partially because that’s where we came from but also because we believe it's the right way to run a business. We design our software with profound empathy for the complexity of running a restaurant.
Our dream is to make the magic just a little easier for operators and their teams. We believe in crazy things like knowing how much waste your kitchen is producing and what your total spend is during the period. Solving these kinds of problems is really freaking hard to do, which is why we develop cutting‑edge technology that answers these questions with data science.