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
- •Product leadership with focus on user experience
- •Bias toward shipping over perfect design docs
- •Self-directed with autonomy and minimal process
What You'll Do
- •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
Nice to Have
- •Experience with OpenAI and Anthropic models specifically
- •Familiarity with subscription business models, app stores, or developer tools
- •Experience building Slack integrations or conversational interfaces
- •Experience working on an early-stage product inside a growth-stage company
- •Contributions to open-source AI/ML tooling
Benefits
- •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
