Member of Technical Staff (Software Engineer, Computer Growth)
Posted Updated
- As a growth engineer at Perplexity, you’ll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter
- Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes
- 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
- Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents)
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission
- 2+ years of professional software engineering experience (we’re open to strong junior and mid-level candidates with a track record of shipping)
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend)
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data
- Genuine interest and adoption of AI products and willingness to learn quickly
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces
- Experience shipping for both consumer and enterprise audiences
- Time spent at a fast-growing startup or on a high-ownership engineering team