Member of Technical Staff (Android Engineer, Computer Growth)
Company websiteperplexity.ai (Perplexity, opens in new tab)
Base salary $220K to $405K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All places named
- San Francisco, CA
- New York City, NY
About this job
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.
Why Perplexity is different
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.
What you'll do
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.
Qualifications
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.
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.
Source: Perplexity on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($220,000) is above 79% of the 4,289 Software Engineering roles in California listed on this site; 74 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $203,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingMember of Technical Staff (Android Engineer, Computer Growth)$220K to $405K
Member of Technical Staff (Software Engineer, Computer)$220K to $405K
Member of Technical Staff (Software Engineer, Enterprise AI Products)$220K to $405K
Member of Technical Staff (Software Engineer, Training Infrastructure)$220K to $405K
Member of Technical Staff (Software Engineer, Backend Platform)$220K to $405K
Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency)$220K to $405K
Member of Technical Staff (Software Engineer, Data Platform)$220K to $405K
Chart as a table
| Role | Published base |
|---|---|
| Member of Technical Staff (Android Engineer, Computer Growth) (this listing) | $220K - $405K |
| Member of Technical Staff (Software Engineer, Computer) | $220K - $405K |
| Member of Technical Staff (Software Engineer, Enterprise AI Products) | $220K - $405K |
| Member of Technical Staff (Software Engineer, Training Infrastructure) | $220K - $405K |
| Member of Technical Staff (Software Engineer, Backend Platform) | $220K - $405K |
| Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency) | $220K - $405K |
| Member of Technical Staff (Software Engineer, Data Platform) | $220K - $405K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- fields changed
- Observed since
- Employer-stated posting date
- 2026-10-16
Where this pay comes from
Location as the employer wrote it: San Francisco • New York City
USD 220,000 – 405,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
