Staff Software Engineer, Growth

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.