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Own RevenueCat’s external narrative and voice: produce timely industry commentary, craft company communications, shape opinionated social posts, and amplify major product and research launches to developers, founders, and the broader app ecosystem.

Design, build, ship, and own end-to-end product features across frontend, backend, and data. Translate ambiguous product requirements into reliable, well-tested systems; deploy, monitor, and maintain production services; participate in design and architecture, code reviews, and mentor peers while working closely with product and design teams.

Own and scale RevenueCat's technology partner ecosystem: manage existing integrations, recruit and onboard new partners, drive co-marketing/co-selling, measure partner-sourced pipeline and revenue, enable partners technically and commercially, and build scalable workflows and reporting with cross-functional teams.

Manage and nurture a portfolio of mobile app customers to ensure successful implementation and adoption of RevenueCat. Act as a growth advisor: analyze customer data, propose actionable tactics, create educational content (workshops, guides), and collaborate with Product, Sales, and Marketing to influence product and drive customer revenue growth.

Lead product strategy for Analytics and Experiments, owning roadmaps for charts, benchmarking, dashboards, predictive LTV, and experimentation infrastructure. Partner with engineering and data teams to design, ship, and iterate on metrics, A/B tests, targeting, rollout, and insights to help developers grow revenue.

Lead customer-facing lifecycle and CRM engagements for subscription mobile apps: audit setups, design engagement frameworks and campaigns, connect RevenueCat events to CRM platforms, measure experiments, produce playbooks, influence product integrations, and create public content to scale CRM advisory.

Lead customer-facing paid user acquisition engagements for subscription mobile apps: audit UA setups, advise channel strategy, build LTV models and payback frameworks, feed insights into product, and codify reusable playbooks and public content to scale UA advisory.

Lead a distributed engineering team, manage projects, perform code reviews, and collaborate with cross-functional teams to deliver quality software and improve customer experiences.

The Senior Data Scientist will lead data science strategy, develop models for lead qualification, fraud detection, and underwriting, and collaborate with product and engineering to enhance financial products.