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All Tech JobsThe whole board, newest first.Roles That Fit MeAnswer a few questions, see your matches.Early WindowFound before the big boards.Direct ApplyStraight to the manager, past the ATS.$212,000 - 318,000/ year
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Sign Up to ReadAbout 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.
Hybrid, 3 days a week in the office
Hinge Health
Office in San Francisco, United States
1 of their 18 open roles is remote
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