Member of Technical Staff (Software Engineer, Computer Growth)

Details

In 2026, Perplexity launched Computer, a product for the era of agentic AI. The Growth team owns product loops that help users discover, adopt, and build lasting habits around Perplexity's AI experiences.

As a growth engineer, you will work across the full funnel—including activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments—while building applied AI systems that make those experiences smarter. You will own end-to-end projects, from training and productionizing classifiers that identify high-intent users to personalizing value discovery, shipping contextual onboarding experiments, and connecting new AI capabilities to measurable adoption and revenue outcomes.

Growth at Perplexity goes beyond incremental funnel optimization. The team works closely with the core product, translating behavioral signals, model outputs, and rapid experimentation into durable product surfaces used across consumer and enterprise workflows.

Tech Stack

• TypeScript
• Next.js
• React
• Python
• PostgreSQL
• Eppo
• AWS

Responsibilities

• Design, build, and own growth surfaces across activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments for Computer and other Perplexity products.
• Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout.
• Build applied AI systems that power growth, including classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
• Launch vertical-specific experiences for audiences such as students and enterprise organizations, connecting new AI capabilities to measurable adoption and revenue outcomes.
• Improve activation rate, paid conversion, retention, and habit formation using clean data and trustworthy experiment readouts.
• Partner with Product, Design, Data Science, Monetization, Marketing, and Applied AI teams to translate behavioral signals and model outputs into durable product surfaces.

Requirements

• At least 2 years of professional software engineering experience. Strong junior and mid-level candidates with a track record of shipping are welcome.
• Full-stack engineering skills and comfort with a modern web stack, including Next.js, React, and TypeScript on the frontend and Python on the backend.
• Strong execution skills, with the ability to ship multiple experiments and product improvements in parallel and drive them to clear outcomes.
• Familiarity with A/B testing and experimentation platforms such as Eppo, Statsig, Optimizely, or in-house equivalents.
• Comfort with SQL and data-informed decision-making, including pulling, segmenting, and interpreting funnel data.
• Strong product judgment and the ability to translate user behavior and growth opportunities into simple, effective technical solutions.
• Self-motivation and strong ownership instincts, including proposing experiments, shipping features ahead of schedule, and driving improvements independently.
• Genuine interest in and adoption of AI products, with a willingness to learn quickly.

Nice To Have

• Experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or product-led growth/self-serve SaaS company.
• Experience training and productionizing machine learning models, including classifiers, ranking, or personalization systems, and connecting them to product surfaces.
• Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
• Familiarity with subscription or usage-based billing products, paywalls, or paid upgrade experimentation.
• Experience shipping for both consumer and enterprise audiences.
• Experience at a fast-growing startup or on a high-ownership engineering team.
• Familiarity with mobile development, including Swift, Objective-C, Kotlin, or Java; in-app payments; mobile release cycles; Apple App Store or Google Play Store guidelines; and rollout monitoring.

Company Values

• Craftsmanship: Build high-quality, tasteful products for AI-native and AI-curious users.
• Ownership: Identify the problem, design the solution, and ship it.
• Entrepreneurship: Think like founders, act with urgency, and deliver for users and colleagues.
• Scholarship: Pursue knowledge and truth while improving teams and products.
• Partnership: Amplify colleagues' strengths, break down silos, and help teams deliver excellence.

Benefits

Full-time U.S. employees receive benefits including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more. International employees receive benefits tailored to their region of residence. USD salary ranges apply only to U.S.-based positions; international salaries are based on the local market. Final offers vary based on factors including experience and expertise.