RevenueCat

HQ
San Francisco
40 Total Employees
Year Founded: 2018

RevenueCat Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Recently posted jobs

28 Days AgoSaved
Remote
2 Locations
Fintech • Mobile • Payments • Software
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.
One Month AgoSaved
Remote
41 Locations
Fintech • Mobile • Payments • Software
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.
4 Days AgoSaved
Remote
41 Locations
Fintech • Mobile • Payments • Software
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.