TL;DR
Senior Product Engineer, Agents (AI): Building an AI assistant that helps developers understand and grow their subscription revenue with an accent on designing and implementing tool integrations and owning the reliability and quality of agent responses. Focus on experiment with the latest AI technologies and setting the bar for AI product engineering.
Location: Americas; EMEA
Salary: $227K
Company
RevenueCat removes the headaches of building and scaling in‑app subscriptions and has grown into the default monetization platform for mobile.
What you will do
- Build and ship agentic features across the RevenueCat universe.
- Design and implement tool integrations that expand what agents can see and do.
- 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.
Requirements
- 5+ years of software or product engineering experience.
- Hands-on experience building with LLMs, not just prompting, but building systems around them.
- Strong programming skills.
- Product leadership and caring about what users experience, not just what the code does.
- Bias toward shipping.
- Self-directed.
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.
- You've worked on an early-stage product inside a growth-stage company.
- Contributions to open-source AI/ML tooling.
Culture & 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.
