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Hinge Health is seeking an Engineering Manager for Discovery to lead the team building care discovery experiences that connect members and care teams with information and services. The Discovery team owns search and discovery experiences across member- and staff-facing applications, shared data infrastructure, and search capabilities that power them.
You will 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. 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 supporting multiple applications.
As a hands-on engineering leader, you'll stay close to the technology, contributing to architecture discussions, code reviews, and implementation (~15% of your time), while developing a high-performing team.
In your first 6 months, you will: build strong relationships with your engineering team and cross-functional partners; develop deep understanding of existing discovery experiences, shared search infrastructure, data foundations, and scheduling workflows; define and execute a technical roadmap balancing user-facing improvements, shared platform capabilities, and operational reliability; lead delivery of meaningful improvements to care discovery and search experiences; strengthen shared search and data capabilities; establish data-driven experimentation and engineering best practices around measurement, automated testing, observability, and performance; and champion AI-native development practices while growing and mentoring a high-performing engineering team.
Hinge Health is using technology to scale and automate healthcare delivery, starting with musculoskeletal (MSK) conditions affecting over 1.7 billion people worldwide. The company leverages an AI-powered, human-centered care model to improve outcomes, experiences, and costs. Headquartered in San Francisco with offices in Montreal and Bangalore.
The hybrid model requires 3 days per week in the San Francisco office for full 8-hour business days. The office is dog-friendly.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
- 3+ years 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 (search infrastructure, information retrieval, ranking, relevance optimization, knowledge graphs)
- Data and platform engineering experience building shared services and data platforms used by multiple applications or teams
- Consumer and enterprise experience building member-facing or internal operational workflows with strong usability and performance understanding
- Healthcare integrations familiarity (healthcare navigation, provider and coverage data, scheduling systems, EMR integrations, regulated health data)
- AI-native development experience using tools such as Cursor, Claude Code, or agent-based workflows
