Requirements

5+ years of software or product engineering experience, with meaningful time shipping stuff.
Hands-on experience building with LLMs, not just prompting, but building systems around them (tool use, context management, evaluation, orchestration).
Strong programming skills. We still need to check the bot's work.
Product leadership. You care about what users experience, not just what the code does. You can look at an agent conversation and tell whether it was good or bad and why ... and make the changes to make it great.
Bias toward shipping. We'd rather see something in front of users on Tuesday than a perfect design doc on Friday.
Self-directed. You'll have a lot of autonomy and not a lot of process. That should sound fun, not scary.

Nice to Haves

Build and ship agentic features across the RevenueCat universe
Design and implement tool integrations that expand what agents can see and do: paywalls, experiments, charts, customer data, 3rd party services
Own the reliability and quality of agent responses (prompt engineering, context management, evaluation)
Work directly with the CEO and Head of Product, Platform to define the future of agents at RevenueCat
Experiment with the latest and greatest with an infinite token budget
Set the bar for what good AI product engineering looks like at RevenueCat

Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
10-year window to exercise vested equity options
Fully remote and flexible work environment
4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
$2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning