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Salary: USD 143,000 - 170,000 / annual
Garner Health is transforming the U.S. healthcare system by partnering with employers to redesign how healthcare works. The company applies 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors and uses compelling incentives to steer members to higher-quality care. In five years, Garner has helped over 2.5 million people access better care and saved $1B in healthcare costs. The company recently raised Series E funding and has doubled five years running.
You will join the Data Ecosystem team, reporting to the Product Lead for Data Ecosystem. This team owns the infrastructure and data that powers Garner's approach to delivering high-quality, affordable care. You will have wide-ranging responsibility to shape how Garner ingests and governs the data that powers its business, ensuring quality and security from the start.
Key responsibilities include:
- Develop the roadmap for ingesting and processing client data, shaping strategy and developing scalable, consistent approaches that ensure quality and speed
- Own the experience for connecting to client data and making it available to internal consumers to process member payments efficiently and report results to clients
- Embed deeply with internal teams, employers, and integration partners to understand pain points and develop product ideas
- Drive new product and feature development from ideation to launch
- Develop prototypes and build and ship minor features end-to-end
- Define success metrics for every initiative, ensuring data is in place to measure outcomes and rallying the team around winning outcomes
The role is based in the New York City office (Financial District) with a requirement to work in-office 3 days per week on Tuesday, Wednesday, and Thursday.
REQUIREMENTS:
- 2–4 years of product management experience, ideally on data platforms, integrations, or infrastructure products
- Experience with data ingestion and file-based data exchange (e.g., claims, eligibility, or payments data) and partnering closely with data engineering teams
- Exceptional analytical and problem-solving skills, with a focus on using data to define success metrics, drive decisions, and measure outcomes
- Technical fluency — comfort working with data pipelines, writing basic SQL, building prototypes, and shipping minor features end-to-end
- Strong communication and stakeholder management skills, with comfort working across technical and non-technical teams and external integration partners
- High level of autonomy and ownership — able to move quickly and independently in ambiguous problem spaces
- 1 year of working in an AI-forward development environment
- Desire to be part of a high-performing, mission-driven team that operates with intense urgency, strong individual accountability, and commitment to authentic feedback
Note: The company is unable to sponsor or take over sponsorship of an employment visa at this time.
