Member of Technical Staff (Software Engineer, Computer Growth)

What you'll do

• 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.

Qualifications

• 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).
• 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).
• Comfort with SQL and 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, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
• 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.
• 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.