About Replay
We are building the first-ever bank for enterprise data. There are over 35 million businesses in the US alone, many of which are sitting on an asset they don’t know they have. At Replay, we help businesses monetize their historical operating data by licensing it to the frontier AI and data labs for model training. Replay sits at the intersection of advancing the frontier of AI, while helping companies generate millions in growth capital without having to give up equity, take on debt, or lay off employees.
Why Join Replay Now
- We have scaled from $0 to a multi-eight-figure run rate in a matter of months
- We have raised from top-tier investors, including Floodgate, Afore, Ludlow, and Hustle Fund
- We are small enough that you will carry outsized responsibility and grow as quickly as the company does
- You will partner with and build for some of the fastest and most important companies in the world
- You will help build a massive, category-defining business from the ground floor
The Role
The engineering work spans some of the messiest parts of enterprise data: getting internal work data out of the systems where it lives, helping companies navigate dissolution, and de-identifying sensitive datasets without destroying what makes them useful. Doing this well requires thoughtful product interfaces, long-running workflows, data and ML systems, evaluation, permissions, and reliable operations to work as one system.
You will build a high-agency engineering team, develop strong independent owners, and turn difficult customer and technical problems into trustworthy products and systems.
This is an opportunity to shape the team and its technical operating system, not inherit layers of established process. You will influence who we hire, how ownership is divided, which capabilities become durable infrastructure, how we evaluate quality, and how AI changes the way the team builds.
This is a bounded player-coach role. Management is the primary job, but you will stay technically active through design and code review, debugging, incidents, prototypes, and occasional implementation where it creates leverage. You will not carry a standing feature load or become the owner of roadmap-critical implementation.
What You'll Do
- Hire, onboard, coach, and develop engineers into strong independent owners
- Define ownership and technical direction across the product and systems your team is responsible for
- Turn customer behavior, product usage, data quality, system health, and team evidence into a sequenced roadmap
- Review important designs and pull requests, debug difficult failures alongside the team, and lead technical decisions and incidents when needed
