Staff Growth Engineer - Referral Platform Lead

Hinge Health; San Francisco (CA); Hybrid; USD 197,000 - 275,000; Full time

Benefits offered by this job

Healthcare benefits

401k retirement plan

Stock options

Learning stipend

Job summary

Hinge Health is seeking a Staff Engineer for the Growth team to scale our member referral program end-to-end, including incentive mechanics, referral flows, and personalization systems that motivate members to refer colleagues and family members.

This high-ownership, full-stack role sets technical direction and works closely with product and data science to impact referral conversions and cost-per-acquisition.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field.
• 4+ years of professional software engineering experience, including production systems at scale.
• Hands-on experience building and operating full-stack applications (React/React Native frontend; Node.js/TypeScript backend).

Responsibilities

• Own the technical direction and roadmap for the member referral platform across the full stack—from frontend to backend services and data pipelines.
• Scale incentive and referral systems to handle growing member volume while preserving conversion and UX.
• Integrate ML model outputs into referral surfaces to improve effectiveness.
• Design, instrument, and analyze A/B experiments with data science to tie model outputs to product outcomes.
• Partner with product, design, and analytics to define what to build and why, balancing short-term wins with long-term leverage.
• Raise engineering standards by guiding code quality, system design, observability, and technical decisions.

Skills

React

React Native

TypeScript

NestJS

GraphQL

Node.js

Databases (relational & NoSQL)

Docker

Kubernetes

AWS

Redis

Leadership

Architecture

Education

Bachelor's degree in CS/Engineering

Tools

ML model serving tools

Job description

Hinge Health is seeking a Staff Engineer for the Growth team to scale our member referral program end-to-end, including incentive mechanics, referral flows, and personalization systems that motivate members to refer colleagues and family members.

This high-ownership, full-stack role sets technical direction and works closely with product and data science to impact referral conversions and cost-per-acquisition.