About the Role
As an Engineering Manager for Growth, you will support one team of engineers (8 - 12 engineers). You will lead a highly technical team focused on turning raw health care data into scalable, trustworthy insights that drive measurable business outcomes. Your team will own the modernization of our data ingestion pipeline, ensuring it can handle growth, offer strong observability, and support new analytical and product use cases. You’ll scale our automated claims analysis engine with more rigorous methodologies and deeper automation, and you’ll partner closely with data science to develop predictive models that forecast member ROI and surface leading indicators. This pod sits at the intersection of data engineering, clinical outcomes, applied modeling, and product impact, and you’ll be accountable for building reliable systems, elevating analytical accuracy, and enabling ROI insights that influence decisions across Growth and the broader organization.
You’ll have the opportunity to hire, coach, and accelerate individual growth. You’ll guide your team toward the right metrics and feedback loops to empower its continuous improvement. As an engineering leader you will be expected to know the ins and outs of your team's tech stack. Additionally we expect our leaders to spend ~15% of their time working in the code and merging pull requests regularly.
To make sure there’s always just-enough valuable, shovel-ready work, you will work closely with stakeholders to prioritize the team backlog and establish goals for each sprint. To support their team’s continuous improvement, you will measure what matters most and lead blameless retros that convert insights into action.

We enjoy a continuous deployment DevOps culture, and take owner-operator pride in supporting our code in production. Our production systems rely on Node.js, TypeScript, Nest.js, Python, GraphQL, Docker, AWS, Postgres, Kafka, Redis, & Databricks. Our workflow is trunk-based CI/CD, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, and CCPA.

What You'll Accomplish

• Collaborate with product partners and Growth leaders to develop and execute a robust, effective roadmap for engineering and scaling data automations, ingestions, and analysis tools.
• Hire, coach and mentor engineers through day-to-day challenges and guide them towards long term professional and technical growth.
• Motivate engineers and ensure high performance through constant feedback and identifying areas of improvement.
• Develop robust, effective plans addressing various technical and resource challenges within the organization.
• Lead organizational initiatives on improving workflow processes and resolving them with practical, lightweight, measurable processes.
• Maintain a groomed backlog, prioritize sprint stories, and lead sprint retrospectives.
• Lead your teams in consistently delivering on a roadmap they collaboratively define.
• Scale the team with a strong focus on experience, technical proficiency, and AI integration.

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 per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.

Basic Qualifications

• Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field

• 8+ years of non-internship full time professional experience in the technology industry, with a focus on SaaS products and large-scale, complex systems

• 2+ years of experience managing an engineering team of 4+ direct reports

• 2+ years of experience in mentoring and leading team members, collaborating effectively with cross-functional teams, and contributing to project planning and decision-making

• 2+ years of experience resolving interpersonal conflicts and finding creative resourcing solutions where others would see zero-sum tradeoffs

Preferred Qualifications

• Backend experience with technologies such as: Nestjs, Apache Kafka, BullMQ, Databricks

• Expertise in Typescript, Node.js, Python, and SQL

• Hands-on experience with AI tooling (i.e. Copilot, Cursor, Claude Code) and architectures

• Hands-on experience with Tuva or similar healthcare data analytics platform

Compensation

This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $212,000 - $318,000.

About Hinge Health

Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.

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

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.

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