Responsibilities

• Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS.
• Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
• Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
• Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
• Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
• Partner with rest of Growth to optimize app store performance and attribution
• Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
• Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.

Requirements

• 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS.
• Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others.
• Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
• Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
• Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
• Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
• Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
• Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
• Genuine interest and adoption of AI products and willingness to learn quickly.

Preferred

• Direct experience on a growth or experimentation-heavy team
• Deep experience with in-app payments
• Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
• ASO experience, including store listing experiments and localized metadata.
• Comfort reaching into the backend or web stack to unblock yourself end-to-end.
• Time spent at a fast-growing startup or on a high-ownership engineering team.