Senior Data Platform Engineer
- LocationUSA
- Work typeRemote
- EmploymentFull-time
- Posted1 November 2026
- SourcePushPress's careers page (Lever)
- Last checked2 h ago on PushPress's careers page
About the role
About PushPress
PushPress is the AI-powered gym management platform built for boutique fitness.
We are transforming how boutique fitness owners operate and how the entire $100B global fitness industry connects, transacts, and grows. Trusted by more than 5,000 gyms and 500,000 members, PushPress processes ~$1B annually.
We're a Series B company backed by Altos Ventures, StepStone, and Mucker Capital, and we're going all-in on AI. Our AI Assistant, AI Member Intel, and AI-powered reporting tools are already changing how gym owners and coaches operate. We believe AI should make the human side of fitness better, not replace it.
By embedding intelligence directly into the product, we enable boutique fitness owners to make faster decisions, unlock new revenue streams, and collaborate across a connected network. As more gyms join the platform, data compounds, intelligence strengthens, and the value of the ecosystem increases for every owner.
We are a global team of builders, operators, and fitness fanatics on a mission to level the playing field for independent fitness entrepreneurs. If you are ready to help reshape an industry, let's talk!
The Role
PushPress is building a suite of data-driven products and customer experiences that powers reporting and AI features for 5,000+ gyms and our internal teams. We're hiring our first Data Platform Engineer to own the foundation that all of it runs on: how data gets in, where it lives, how it's governed, how it's extracted (while monitoring who uses it and why), and whether people and AI agents can trust it. Our direction: anyone at PushPress, and the AI agents they work with, should get answers they can rely on without waiting on the Data team. You'll design the platform that makes that possible and support the teams who build on it. You'll collaborate closely with our Data team (Data Engineering and Analytics) and the broader R&D team, and you'll have a real say in how we turn our data into tools, including AI, that help gyms run better businesses.
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