Staff Software Engineer, Growth

Staff full-stack engineer on the Growth team owning the end-to-end member referral platform, including incentive mechanics, personalization via ML models, A/B experimentation, and scaling systems to drive new member acquisition and business outcomes.

About the job

What You’ll Do

Own the technical direction and roadmap for the member referral platform across the full stack — from frontend experiences to backend services and data pipelines.
Scale incentive and referral systems to handle growing member volume and complexity without degrading conversion or user experience.
Integrate ML model outputs (for example, propensity scores, personalized offers, and targeting signals) into referral surfaces to improve effectiveness.
Design, instrument, and analyze A/B experiments; work with data science to close the feedback loop between model outputs and product outcomes.
Partner with product, design, and analytics to define what to build and why, balancing short-term wins with long-term platform leverage.
Raise the engineering bar by driving code quality, system design standards, observability, and technical decision-making on the team.

What We’re Looking For

Incentive & growth experience — a track record of designing or evolving systems that measurably shift user behavior through incentives, rewards, or social mechanics.
Personalization at scale — experience operationalizing ML model pipelines, model serving, A/B testing infrastructure, and feedback loops that connect model performance to product outcomes.
Full-stack depth — strong skills across technologies such as React, React Native, TypeScript, NestJS, GraphQL, Node.js, relational and non-relational databases, Docker, Kubernetes, AWS, and Redis.
Staff-level leadership — you’ve set technical direction for a team, influenced cross-functional roadmaps, and made architectural decisions that have held up over time.

Basic Qualifications

Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field.
4+ years of professional software engineering experience, including meaningful time working on production systems at scale.
Hands-on experience building and operating full-stack applications (for example, using React/React Native on the frontend and Node.js/TypeScript or similar on the backend).

Preferred Qualifications

Experience designing and scaling incentive, rewards, or referral systems that drive measurable user and business outcomes.
Experience integrating ML models into production systems (for example, model serving, feature pipelines, experimentation, and feedback loops).
Depth with modern web and service technologies such as React, React Native, TypeScript, NestJS, GraphQL, Node.js, relational and non-relational databases, Docker, Kubernetes, AWS, and Redis.
Proven experience setting technical direction for a team, owning architectural decisions, and driving high-quality execution in partnership with product and data science.
Experience with experimentation platforms, A/B testing frameworks, or ML feature stores.
Prior work at a consumer growth-focused company (for example, e-commerce, marketplaces, or consumer apps) and/or experience with viral or referral growth mechanics.
Experience working in healthcare or other regulated-data environments.