The Role
Own product roadmaps and execution for healthcare data products, translating client feedback and regulatory requirements into features. Conduct data research, investigate quality issues, evaluate AI model performance, set accuracy targets, define launches, and maintain documentation. Collaborate with executives, engineering, solutions, QA, clients, and prospects in a fast-paced healthtech environment.
Summary Generated by Built In
Work Location: New York
Hours: East Coast hours
About Candor Health
Candor Health is a healthcare intelligence platform that gives companies high quality, transparent, and actionable data on US doctors, facilities, insurance plans, costs, and more. We believe higher quality, transparent data leads to better decisions and builds trust across the healthcare ecosystem. We source data from certification boards, booking sites, claims, social media, and other sources, and verify it through automated checks and human review. Our data set has compared favorably in head-to-head evaluations against other healthcare data vendors, including public companies and startups that have compiled healthcare data for many years. We are backed by prominent healthcare VCs and angels with a track record of building successful technology companies.
Life at Candor
At Candor, everyone is a leader. The areas you own are yours to build and progress. Best ideas win! We value a culture where the team not only enjoys working together solving some of the biggest data challenges in the healthcare industry, but also has fun doing it. Building a great company is hard work but work-life balance is also important.
Responsibilities
- Own the roadmap and execution for several product areas, working with the Head of Product and executive leadership on priorities across teams
- Interface with clients and prospects to learn how they use Candor data and translate repeated requests from client feedback into roadmap items
- Conduct data research to build 0-to-1 new features and improve existing features; define the problem, scope, success criteria, and rollout plan
- Investigate data quality issues: pull samples, find the cause, and decide what gets fixed first
- Use AI tools like Claude Code to analyze data, build prototypes, and write model evaluations
- Evaluate model performance and uncover areas to improve
- Set accuracy targets for your areas and report progress against them
- Write release notes and keep product documentation current
- Track regulations that change what clients need from provider data, such as CMS Medicare Advantage directory requirements and the No Surprises Act, and turn them into product requirements
Qualifications
- 3+ years of product management experience
- Experience building data or AI features from idea to launch
- Customer focused mindset; skilled at gathering requirements from clients and prospects
- Strong attention to detail and “roll up your sleeves” attitude to dig into difficult data problems
- Decisive and skilled at analyzing technical and timeline tradeoffs in partnership with engineering, solutions, and QA teams
- Experience with dynamic startup environment with fast-paced release cycles is a plus
- Experience in healthtech or working with provider or payer data (especially in network management, provider directories, or claims), is a plus
- Background in software engineering is a plus
Skills Required
- 3+ years of product management experience
- Experience building data or AI features from idea to launch
- Customer-focused mindset and ability to gather requirements from clients and prospects
- Strong attention to detail and willingness to investigate difficult data problems
- Ability to analyze technical and timeline tradeoffs with engineering, solutions, and QA teams
- Experience in a dynamic startup environment with fast-paced release cycles
- Experience in healthtech or with provider or payer data, especially network management, provider directories, or claims
- Background in software engineering
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The Company
What We Do
Candor Health is a healthcare intelligence platform that helps companies use high-quality, transparent, actionable U.S. healthcare data. Its focus is building complete, reliable datasets covering doctors, healthcare facilities, and insurance plans, addressing the industry-wide problem of inaccurate provider information. The company’s work makes healthcare intelligence more trustworthy and useful for organizations that depend on accurate provider and insurance data.
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