Senior Product Engineer, Agents
RevenueCat
About the role
About
RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly shipped subscription apps, we process $10B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.
We’re a remote‑first crew of 120+, spread across 25 countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This is a full‑remote role open to candidates in South America, North America, Central America, and EMEA.
Responsibilities
- 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
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.
Bonus Points
- 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
What We Offer
- 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
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.
- Bias toward shipping.
- Self-directed.
Responsibilities
- 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
Benefits
Skills
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