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Hinge Health

Staff Software Engineer, Growth

Reposted 2 Months Ago
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Hybrid
San Francisco, CA, USA
197K-275K Annually
Mid level
Hybrid
San Francisco, CA, USA
197K-275K Annually
Mid level
Lead full‑stack development and technical direction for the member referral platform. Scale incentive, referral, and personalization systems; integrate ML outputs; design and analyze A/B experiments; collaborate with product and data science; and improve code quality, observability, and architecture to drive referral conversion and business outcomes.
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The Role

We’re looking for a Staff Engineer to join our Growth team and scale the programs that bring new members into Hinge Health. This team owns our member-to-member referral program end-to-end — the incentive mechanics, referral flows, and personalization systems that motivate existing members to refer colleagues and family members.

This is a high-ownership, full-stack role. You’ll set technical direction, work closely with product and data science, and have a direct line to business outcomes like referral conversion, cost-per-acquisition, and incremental bookings.

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.

  • Participate in the team’s weekly on-call rotation, helping ensure the reliability and timely support of the systems we build.

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. Domain background matters less than demonstrated growth impact.

  • 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. We don’t expect a perfect match on every technology, but you should be fluent in most.

  • 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.

Why This Role
  • High ownership, low bureaucracy — this team moves quickly and ships iteratively while maintaining high technical standards.

  • Direct, measurable impact — your work has a clear line of sight to how many people access MSK care through Hinge Health.

  • Greenfield technical challenges — including scaling referral infrastructure, integrating personalization, and evolving experimentation capabilities as member volume grows.

  • Deep collaboration — you’ll work closely with strong data science, product, and marketing partners who are embedded with the team.

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care. As the preferred partner to 60+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,800 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com.

What You’ll Love About Us
  • Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.

  • Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.

  • Modern life stipends: Manage your own learning and development.

  • Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.


Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to [email protected].

HQ

Hinge Health San Francisco, California, USA Office

465 California Ave, San Francisco, CA, United States, 94104

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