Member Of Technical Staff (Software Engineer, Computer Growth)
Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
SEO @ 3
Marketing @ 3
Kotlin @ 2
TypeScript @ 3
Python @ 3
SQL @ 3
A/B Testing @ 2
Java @ 2
Data Science @ 3
AWS @ 3
PostgreSQL @ 3
Next.js @ 3
React @ 3
Experimentation @ 2
Swift @ 2
Objective-C @ 2
AI @ 3
Agentic AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
In 2026, Perplexity launched Computer, the defining product for the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action. The Growth team owns the product loops that help users discover, adopt, and build lasting habits around the company's most important AI experiences. Growth engineers work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — and build applied AI systems that make those experiences smarter. Engineers own end-to-end projects from training and productionizing classifiers to identify high-intent users, to personalizing value discovery, shipping contextual onboarding experiments, and wiring new AI capabilities into measurable adoption and revenue outcomes.
Tech Stack
TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Responsibilities
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and other Perplexity products.
- Lead experiments end-to-end: hypothesis, instrumentation, implementation, analysis, and rollout; ship many in parallel and learn 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 AI capabilities to measurable adoption and revenue outcomes.
- Optimize key metrics: activation rate, paid conversion, retention, and habit formation, instrumented with reliable 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.
Requirements
- 2+ years of professional software engineering experience (open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills; comfort across a modern web stack (Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: ability to ship many experiments and product improvements in parallel and drive them to clear outcomes.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — able to pull, segment, and interpret funnel data.
- Strong product judgment; translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; propose experiments, ship features ahead of schedule, and drive improvements independently.
- Genuine interest in 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.
- Familiarity with subscription and/or usage-based billing products, paywalls, or paid upgrade experimentation.
- 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, app store guidelines, and rollout monitoring.
Benefits
- U.S. Benefits: Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.
- International Benefits: Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.
Note: USD salary ranges apply only to U.S.-based positions; international salaries are set based on the local market. Final offers depend on experience and expertise and may vary from the listed amounts.