Jobs at RevenueCat

Design, build, ship, and maintain end-to-end product features across frontend, backend, and data layers. Own projects from definition through production, improve reliability and scalability, collaborate with product and design, mentor engineers, and engage with customers to solve real user problems.

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.

Lead product strategy and roadmap for Analytics and Experiments. Own charts, benchmarking, dashboards, predictive LTV, and experimentation infrastructure. Partner with engineering, data science, and GTM to design metrics, run experiments, triage analytics issues, and deliver actionable insights to help developers grow revenue.

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.

Full-cycle Mid-Market Account Executive focused on developer-focused, product-led sales for mobile apps. Own your pipeline, generate outbound, run discovery calls and demos, travel to industry events, and act as a mobile monetization advisor to help customers implement and grow with RevenueCat.

Own RevenueCat's organic and AI-driven discoverability by mapping audience queries, creating and commissioning high-value content, optimizing product pages/docs/YouTube for search and citation by LLMs, and measuring traffic outcomes. Work cross-functionally with product marketing, DevRel, docs, and content teams to prioritize, brief, and deliver discovery-focused content that grows top-of-funnel organic and AI traffic.

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.

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.

Design, build, ship, and support backend services and end-to-end features focused on reliability, scalability, and performance. Debug production issues, write and debug SQL, follow testing best practices, collaborate in a remote team, participate in on-call, and contribute to architecture and roadmap decisions.

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.

Build foundational agent infrastructure for an AI assistant: orchestration, tool execution, context management, evaluation, and trust/permissions. Ship reliable, observable, and secure backend systems, launch agentic features, own core infrastructure, participate in on-call, and mentor others.

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.

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.

Lead global people strategy for a remote-first, 150+ employee company. Oversee Recruiting and People Operations, build a world-class recruiting function, improve hiring processes, workforce planning, performance management, leadership development, compensation and headcount planning, and implement scalable, AI-enabled people systems and reporting.

Lead creation and execution of creative, account-specific ABM for large consumer apps: map and prioritize target accounts, build 1:1 and 1:few campaigns, partner closely with Sales, develop AI-native GTM workflows, own account journey metrics, and scale repeatable playbooks that generate high-quality conversations and pipeline.

Lead and transform the Customer Success function into a commercially‑focused, scalable operation. Build account tiers, playbooks, handoffs, coaching, metrics, and enablement to drive adoption, renewal, and expansion while personally supporting top accounts and coaching the CSM team.

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.