Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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.

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.

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.

Own data science for customer-facing product features, including LTV prediction, experimentation, benchmarking, and forecasting. Proactively analyze data to identify customer problems and product opportunities, build and deploy production-grade models, and influence product roadmaps. Partner with Product, Engineering, and Analytics, communicate findings to varied audiences, iterate on shipped features, and lead new data-driven initiatives.

Own and improve go-to-market workflows spanning lead routing, lifecycle campaigns, CRM and marketing automation, data quality, reporting, and AI-enabled processes. The role involves building, testing, monitoring, documenting, and continuously improving reliable workflows across Salesforce, Customer.io, Clay, Looker, and related systems. Success requires strong troubleshooting, analytical judgment, clear communication, independent ownership, and at least three years of relevant operations experience.

Own inbound conversations with app developers, founders, and growth teams. Conduct discovery, explain and demo RevenueCat, guide self-service adoption, identify qualified commercial opportunities, and coordinate handoffs to Account Executives, Sales Engineers, Support, or other teams. Maintain clear follow-up and customer notes while sharing recurring feedback to improve demos, resources, playbooks, and team processes.

Own the zero-to-one strategy and execution for RevenueCat’s user acquisition products. Research mobile acquisition workflows, identify high-value opportunities, define and test product hypotheses, collaborate with engineering and cross-functional teams, and ship measurable products or experiments. Serve as the internal expert on mobile performance marketing, attribution, privacy, acquisition economics, and how monetization data can improve user growth.

Design, build, ship, and support mobile SDK features for iOS and Android developers. The role involves writing high-quality, tested code, contributing across platform and hybrid SDKs, reviewing code, improving reliability, shaping technical direction, mentoring engineers, and helping prioritize the product roadmap. Engineers will work closely with customers and contribute to RevenueCat’s developer-focused monetization platform.

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.