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