Member of Technical Staff (Software Engineer, Computer Growth)Active$220K–$405K

Perplexity
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The opportunity

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 the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.

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.

What they're looking for

  • + 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.