Member of Technical Staff (Android Engineer, Computer Growth)
머신러닝 엔지니어정규직리드 · 3년 이상
안드로이드 환경에서 사용자 유입과 전환을 위한 실험을 주도하고 결제 및 알림 기능을 개발해요. Kotlin과 Jetpack Compose를 활용한 실무 경험 3년 이상이 필수이며, 앱 배포 주기 전반을 관리할 수 있어야 해요. 데이터에 기반해 실험을 설계하고 분석하며, 제품의 성장을 위해 기획부터 구현까지 엔드투엔드로 프로젝트를 책임져요. 별도의 팀 규모나 보고 체계는 명시되지 않았어요.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android.
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.
3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android.
Strong native skills — Kotlin/Jetpack Compose — 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.
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.