Jobs at RevenueCat

Own a portfolio of mid-market app customers and prospects in a value-led, product-led sales motion. Generate outbound pipeline, run discovery and demos, advise on mobile monetization and paywall optimization, represent RevenueCat at events, and collaborate with Sales Engineering and Customer Success to drive product adoption and revenue growth.

Lead RevenueCat’s technology partner ecosystem strategy, prioritizing integrations and strategic relationships based on customer demand, commercial value, and effort. Develop partnerships end-to-end, create creative go-to-market motions, support integration prioritization, measure ecosystem impact, and establish scalable models for inbound partner requests and lower-touch integrations. Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Customer Success in a high-ownership remote startup environment.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Own complex product design problems from discovery through production. Partner with Product and Engineering to simplify technically complex workflows for developers, conduct customer research, prototype and iterate solutions, and maintain high standards for interaction and visual craft. The role includes shaping product direction, designing intuitive workflows, contributing to design systems, supporting implementation, and improving the broader design practice in a remote, asynchronous environment.

Build polished, production-quality product experiences at the intersection of product design and frontend engineering. Translate design intent into maintainable frontend code, resolve design and technical trade-offs, and own implementation quality end to end. Collaborate closely with Design and Engineering, contribute to design systems and reusable components, improve accessibility and interaction quality, and ship meaningful customer-facing product improvements in a remote environment.

Own the ad monetization product roadmap for mobile app developers. Lead customer discovery, product strategy, prioritization, and execution across rewarded ads, revenue tracking, virtual currency, entitlements, and related platform capabilities. Partner closely with engineering, design, data, and go-to-market teams to ship quickly, validate hypotheses, and improve publisher monetization. Develop expertise in mobile advertising ecosystems, including mediation, auctions, demand sources, pricing, measurement, and publisher needs.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Build and ship production AI agents that help mobile app developers manage subscriptions and paywalls. Own agent orchestration, tool execution, context management, evaluation, observability, permissions, and human-in-the-loop controls. Develop reliable, secure, user-facing backend systems, scope projects independently, monitor adoption, improve features after launch, participate in architecture and incident response, and mentor engineers.

Design, build, ship, and own backend product features used by developers and mobile app users at large scale. Scope projects, write reliable and tested code, monitor production systems, participate in architecture and roadmap decisions, respond to incidents, improve scalability and performance, communicate remotely, and mentor engineers. The role requires end-to-end ownership from problem definition through rollout and long-term maintenance.

Leads RevenueCat’s multi-lane Customer Growth function across CSM, Growth Advisory, Growth Advocacy, and Customer Enablement. Owns segmentation, coverage strategy, customer adoption, strategic accounts, scalable education, advisory operations, cross-functional decision rights, customer insights, metrics, hiring, and organizational design. The role builds a unified operating system that improves customer outcomes, retention, expansion quality, product adoption, and customer revenue while developing leadership across the function.

Lead RevenueCat’s Sales and Sales Engineering functions, setting strategy, goals, forecasting practices, hiring plans, budgets, and performance standards. Build a multi-motion sales system spanning enterprise, mid-market, product-led, outbound, partner, and regional opportunities. Develop qualified pipeline, coach leaders, improve cross-functional collaboration, remain involved in complex customer opportunities, and turn deal insights into repeatable playbooks and training.

Lead product strategy and roadmaps for RevenueCat’s Funnels and Workflows products. Conduct customer research, identify adoption barriers, define product vision, develop growth-focused features, analyze metrics, and collaborate with engineering, design, data, and go-to-market teams to improve subscriber conversion, retention, and revenue.

Drive full-cycle, value-led sales for mid-market mobile app customers: generate outbound pipeline, run discovery/demos, represent RevenueCat at events, advise on monetization and onboarding, and collaborate with Sales Engineering and Customer Success to grow customer revenue.

Design and ship high-converting mobile paywalls, onboarding flows, and purchase funnels using RevenueCat builders. Lead discovery, propose experiment plans, run multivariate tests, analyze results, and codify successful patterns into templates and content. Partner with Product, Marketing, and Advocacy; present findings publicly and advise internal teams on monetization UX best practices.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Own go-to-market and adoption campaigns for developer-focused product areas: build lifecycle campaigns, design and optimize web pages, produce case studies and enablement, gather market insights, and run creative brand projects. Lead end-to-end product launches, collaborate across Product, Sales, and Marketing, and optimize self-serve funnels to drive activation, retention, and revenue.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

Own inbound technical sales conversations: lead discovery, demo and proof-of-concept builds, validate integrations with RevenueCat SDKs/APIs, produce enablement content, shorten evaluation cycles, and provide product feedback to shape features.

Proactively explore RevenueCat data to identify customer problems and opportunities. Translate ambiguous product questions into analyses and production-grade predictive/descriptive models. Partner with Product, Engineering, and Analytics to shape roadmaps, define experimentation and benchmarking approaches, deploy and iterate on models powering customer-facing features, and communicate insights across technical and non-technical audiences.

Founding Data Scientist for RC Capital responsible for building underwriting, fraud detection, anomaly detection, and lead-qualification models; integrating risk signals into product flows; deploying and monitoring production models; analyzing cross-platform revenue data; and defining DS strategy to scale fintech products.