
51 - 200 employees
Founded 2017
☁️ SaaS
🔌 API
🤝 B2B
💰 $40M Series B on 2021-05
SaaS • API • B2B
RevenueCat is a platform that helps developers build and grow their subscription-based apps by simplifying in-app purchase management across iOS, Android, and the web. Trusted by over 32,000 apps, RevenueCat offers a suite of tools for subscription data management, customer support, marketing, and engineering teams. The platform enables businesses to implement in-app purchases faster, automate receipt validation, and provide a central source of truth for subscription data. RevenueCat also supports A/B testing and provides actionable insights through a unified view of cross-platform usage, helping apps to drive growth and optimize revenue strategies. With its comprehensive API, RevenueCat facilitates the integration of subscriptions with existing marketing and analytics tools, allowing developers to focus on building impactful app features.
🕒 May 5
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51 - 200 employees
Founded 2017
☁️ SaaS
🔌 API
🤝 B2B
💰 $40M Series B on 2021-05
SaaS • API • B2B
RevenueCat is a platform that helps developers build and grow their subscription-based apps by simplifying in-app purchase management across iOS, Android, and the web. Trusted by over 32,000 apps, RevenueCat offers a suite of tools for subscription data management, customer support, marketing, and engineering teams. The platform enables businesses to implement in-app purchases faster, automate receipt validation, and provide a central source of truth for subscription data. RevenueCat also supports A/B testing and provides actionable insights through a unified view of cross-platform usage, helping apps to drive growth and optimize revenue strategies. With its comprehensive API, RevenueCat facilitates the integration of subscriptions with existing marketing and analytics tools, allowing developers to focus on building impactful app features.
• Own the Data Science strategy for RC Capital and build the foundation for our underwriting and fraud detection systems. • Develop sophisticated models for lead qualification, anomaly detection, fraud prevention, and credit underwriting. • Partner closely with Product and Engineering teams to integrate risk signals and underwriting logic into customer-facing flows. • Analyze cross-platform revenue data to uncover insights that improve underwriting models and product design. • Build mechanisms for measuring impact and evaluating model performance. • Operate with high ownership in a fast-moving environment, helping to define the long-term vision for financial products.
• 5+ years of data science experience, ideally with a strong background in fintech, credit, lending, or payments. • Deep expertise in fraud and/or underwriting. • Highly analytical and technical; expert in SQL and Python. • Ability to build, deploy, and monitor models in production. • Understanding of mobile apps or developer ecosystems, or eagerness to learn this space. • Ability to treat RevenueCat's balance sheet, product, and brand like it's your own. • Ability to thrive in ambiguity and make decisions in low-information, high-stakes environments. • Can think systemically and look for opportunities to automate and build scalable solutions. • Know when it's good enough; balance detail, speed, and ambition without losing sight of impact.
• 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
Apply Now🕒 May 5
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