> Markdown version of [/jobs/ext/4412872-member-of-technical-staff-ios-engineer-computer-growth](https://www.wearedevelopers.com/jobs/ext/4412872-member-of-technical-staff-ios-engineer-computer-growth). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Member of Technical Staff (iOS Engineer, Computer Growth) - **Company:** PERPLEXITY LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Apple IOS, App Store (IOS), Mobile Application Development, Software Engineering, Swiftui, Backend, Statsig, Objective C++, Optimizely - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/member-of-technical-staff-ios-engineer-computer-growth-san-francisco-ca--fc31c2dd-2ce3-4e97-9133-969fd4f23271 ## About the Role iOS, Artificial Intelligence (AI), Billing, iOS, Onboarding, Electrical Wiring, Identify Issues, Scholarship, Power Amplifier, Analysis Skills, * 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. Nice to have * 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. ## Description * 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.