# Member of Technical Staff (Software Engineer, Computer Growth)
**Company:** [Perplexity AI](https://scaleengineer.com/companies/perplexity)
Perplexity AI is seeking a highly motivated Member of Technical Staff (Software Engineer) for their Growth team, focusing on developing innovative AI-driven product experiences. The ideal candidate will design and implement full-funnel growth strategies, build applied AI systems, and drive product adoption through data-informed experimentation and technical solutions.
**Role:** Software Engineer
**Seniority:** Mid
**Locations:** San Francisco
**Salary:** 220000–405000 USD
[Apply](https://jobs.ashbyhq.com/perplexity/e7ab0be5-68ba-4a2c-abb1-ee33886d955d)
Canonical: https://scaleengineer.com/jobs/perplexity/member-of-technical-staff-software-engineer-computer-growth
---
## Responsibilities

- Growth Strategy: Design and implement growth surfaces across activation, onboarding, SEO, lifecycle, conversion, retention, and upgrade moments
- Experimentation: Lead end-to-end experiments from hypothesis formulation through implementation, analysis, and rollout
- AI Systems: Build applied AI systems including classifiers, personalization, and recommendation surfaces
- Product Integration: Translate behavioral signals and model outputs into durable product features
- Cross-Functional Collaboration: Partner with Product, Design, Data Science, Monetization, Marketing, and Applied AI teams

## Requirements

### education

- {"name":"Computer Science","description":"Bachelor's degree or equivalent practical experience preferred"}

### technical

- {"name":"Web Development","description":"Full-stack skills with Next.js, React, TypeScript, and Python"}
- {"name":"Data Analysis","description":"Proficiency in SQL and data-informed decision making"}
- {"name":"Experimentation","description":"Experience with A/B testing platforms"}

### experience

- {"name":"Software Engineering","description":"2+ years of professional software engineering experience"}
- {"name":"Growth Engineering","description":"Preferred experience in product-led growth or self-serve SaaS environments"}

## Skills

### required

- {"name":"Full-stack Engineering","description":"Proficiency in modern web development across frontend and backend technologies"}
- {"name":"A/B Testing","description":"Experience with experimentation platforms and data-driven optimization"}
- {"name":"SQL","description":"Ability to pull, segment, and interpret funnel data"}
- {"name":"Product Judgment","description":"Translating user behavior into effective technical solutions"}
- {"name":"Ownership","description":"Self-motivated approach to proposing and shipping features"}

### preferred

- {"name":"Growth Engineering","description":"Experience in activation, conversion, and retention engineering"}
- {"name":"Machine Learning","description":"Experience training and productionizing ML models"}
- {"name":"SEO","description":"Knowledge of search engine optimization techniques"}
- {"name":"Mobile Development","description":"Familiarity with mobile platforms and app store guidelines"}

## Tech stack

### tools

- {"name":"Eppo","description":"Experimentation and A/B testing platform"}
- {"name":"AWS","description":"Cloud computing platform"}

### others

### databases

- {"name":"PostgreSQL","description":"Relational database management system"}

### languages

- {"name":"TypeScript","description":"Primary frontend programming language"}
- {"name":"Python","description":"Backend development language"}

### frameworks

- {"name":"Next.js","description":"React framework for web applications"}
- {"name":"React","description":"Frontend UI library"}

## Benefits

### benefits

- {"name":"Equity","description":"Stock options offered as part of compensation package"}
- {"name":"High-Growth Environment","description":"Opportunity to work at an innovative AI startup"}
- {"name":"Ownership Culture","description":"Entrepreneurial environment with high autonomy"}
- {"name":"Learning Opportunities","description":"Work with cutting-edge AI technologies and talented peers"}

## Compensation

- **max:** 405000
- **min:** 220000
- **currency:** USD
- **stockOptions:** true

## Interview process

### steps

- {"name":"Initial Screening","description":"Review of resume and initial qualifications"}
- {"name":"Technical Interview","description":"Assess coding skills and problem-solving abilities"}
- {"name":"Systems Design","description":"Evaluate architectural and design thinking"}
- {"name":"Team Fit Interview","description":"Assess cultural alignment and collaboration potential"}
- {"name":"Final Interview","description":"Meeting with leadership and final decision making"}

## Full description
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.

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

# Why Perplexity is different

* **Craftsmanship.** We build high quality, tasteful products targeting both the AI native and AI curious.
* **Ownership.** You identify the problem, design the solution and ship it.
* **Entrepreneurship.** We think like founders, act with urgency, and hustle to deliver for each other and our users.
* **Scholarship.** Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
* **Partnership.** We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

# 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.
* 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, Apple App Store and/or Google Play Store guidelines, and rollout monitoring