Engineering Manager, Discovery

About the Role:

Help members find the right care and take the next step in their healthcare journey. As the Engineering Manager for Discovery, you'll lead the team responsible for building intuitive, reliable care discovery experiences that connect members and care teams with the information and services they need, whether care happens virtually or in person.

The Discovery team delivers a search and discovery experience across member- and staff-facing applications as well as the shared data and search infrastructure that powers them. You'll lead engineering efforts spanning care search, relevance, and scheduling — making it easier for members to find appropriate care and for care teams to navigate complex information efficiently.

You'll partner closely with Product, Design, Data Science, and other engineering teams to improve discovery success, reduce friction from intent to action, and build scalable capabilities that support multiple applications. As a hands-on engineering leader, you'll stay close to the technology, contributing to architecture discussions, code reviews, and implementation when appropriate (~15% of your time), while developing a high-performing team.

What You'll Accomplish:

In your first 6 months, you will:

• Build strong relationships with your engineering team and cross-functional partners, establishing clear goals, ownership, and execution expectations.

• Develop a deep understanding of existing discovery experiences, shared search infrastructure, data foundations, and scheduling workflows.

• Define and execute a technical roadmap that balances user-facing improvements, shared platform capabilities, and operational reliability.

• Lead delivery of meaningful improvements to care discovery and search experiences, improving relevance, usability, and conversion from discovery to next action.

• Strengthen shared search and data capabilities to improve accuracy, reliability, and reuse across member- and staff-facing applications.

• Establish data-driven experimentation and engineering best practices around measurement, automated testing, observability, and performance.

• Champion AI-native development practices while growing and mentoring a high-performing engineering team that values technical excellence, ownership, and continuous improvement.

Who You Are:

• Product-minded engineering leader: You care deeply about building experiences that solve real user problems and translate complex information into simple, intuitive workflows.

• Technically credible builder: You're comfortable reasoning about backend services, data models, APIs, and application architecture. You stay close to the code and use your technical judgment to guide decisions and coach engineers.

• Systems and platform thinker: You understand how to design reusable infrastructure and shared capabilities while balancing product velocity, scalability, and reliability.

• Data-driven problem solver: You define success through measurable outcomes, use data and experimentation to guide decisions, and continuously improve the experiences your team builds.

• Collaborative team builder: You communicate clearly, navigate ambiguity, develop engineers through coaching and feedback, and create an environment where people can do their best work.

Basic Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• 3+ years of experience managing a team of approximately 5 or more engineers in a product or platform engineering environment.

• Strong software engineering background, with experience designing and operating backend services, APIs, and data-intensive systems.

• Experience owning and evolving production systems end-to-end, including architecture, delivery, performance, and operational reliability.

• Demonstrated ability to partner with Product and cross-functional stakeholders to deliver measurable product or business outcomes.

• Track record of building, mentoring, and developing high-performing engineering teams.

Preferred Qualifications:

• Search and discovery systems: Experience with search infrastructure, information retrieval, ranking, relevance optimization, or knowledge graphs.

• Data and platform engineering: Experience building shared services and data platforms used by multiple applications or engineering teams.

• Consumer and enterprise experiences: Experience building member-facing or internal operational workflows, with a strong understanding of usability and performance.

• Healthcare integrations: Familiarity with healthcare navigation, provider and coverage data, scheduling systems, EMR integrations, or regulated health data.

• AI-native development: Experience using tools such as Cursor, Claude Code, or agent-based workflows to improve engineering productivity and quality.

Hinge Health Hybrid Model:

We believe that remote work and in-person work each have their own advantages, and we want 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.

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.

Our platform addresses a broad spectrum of MSK care — from acute injury to chronic pain to post-surgical rehabilitation — through personalized, evidence-based care. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at hingehealth.com.

What You'll Love About Us:

• Inclusive healthcare and benefits: Comprehensive medical, dental, and vision coverage, with additional support for gender-affirming care, family and fertility planning, and travel reimbursements where care isn't locally accessible.

• Planning for the future: Traditional and Roth 401(k) options with a 2% company match.

• Modern life stipends: Flexible stipends to support your 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 regard 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 need assistance or an accommodation due to a disability, please let your recruiter know.

By submitting your application, you acknowledge that we will use your personal data as outlined in our 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 security@hingehealth.com.

The Engineering Manager, Discovery leads development of care search, discovery, and scheduling experiences, along with shared search and data infrastructure. The role combines team development and cross-functional delivery with hands-on technical contribution, including architecture discussions, code reviews, and implementation when appropriate.

Role at a glance

Skills mentioned

What you will likely work on

• Set engineering goals and execution expectations with the team and cross-functional partners.
• Shape and deliver a technical roadmap spanning discovery experiences, shared platform capabilities, and reliability.
• Improve care search, relevance, usability, and the path from finding care to taking action.
• Evolve shared search and data capabilities for accuracy, reliability, and reuse across applications.
• Establish measurement, experimentation, automated testing, observability, and performance practices.
• Partner with Product, Design, Data Science, and engineering teams to deliver measurable outcomes.
• Contribute to architecture, code reviews, and implementation when appropriate; the role estimates this at about 15% of time.
• Coach and develop engineers while building a high-performing team.

Good fit signals

• Has managed a team of approximately five or more engineers for at least three years in a product or platform engineering environment.
• Brings strong software engineering experience designing and operating backend services, APIs, and data-intensive systems.
• Has taken production systems through architecture, delivery, performance, and operational reliability.
• Can partner with Product and other stakeholders to deliver measurable outcomes, and has built and mentored engineering teams.
• Search, shared data platforms, healthcare workflows, or AI-assisted development experience may be helpful but is preferred rather than required.