Product Engineer, the 12th engineering hire at Recall.ai, owning the dashboard, MCP, and internal tools for sales, finance, and engineers. The role is a full-stack position using Django and TypeScript, building APIs, applications, and SQL integrations. Work includes interviewing users, running experiments, and building revenue tooling such as contract signing and billing.
At Recall.ai, we are building the API to record, understand and search conversations as context for AI. Making our users successful is a highly technical product problem. Our users have no priors to compare us to and there is no competition to copy ideas from.
We raised a $38M Series B led by Bessemer on the back of fast growth and a customer list of major names. We've done it all with a small team. You’ll build software that helps our customers and that team accomplish much more, and explore how a company can operate with today’s AI models.
You’ll be our 12th engineering hire and the first fully dedicated to customer, agentic, and internal interfaces.
You’ll find the right problems, own the roadmap, and build features thousands of companies and your coworkers rely on every day.
Success means customers integrate quicker, need less support and are more successful on the Recall platform. Internally, it means fewer manual steps, fewer errors, faster workflows, and tools people choose to use. Every improvement you make has a measurable impact on customer happiness, retention, and how much our team can accomplish.
Expect substantial time exploring workflows, testing ideas, and making scope decisions alongside coding. Urgent business problems will sometimes change your plans.
If you want to own entire products, live at the intersection between highly technical users and deep systems problems, experiment with what AI makes possible, and see your work used by thousands of companies and the people sitting next to you, we’d love to meet you.
Compensation: $215K