[Hiring] Senior Product Manager, Data @CertifyOS

Role Description

CertifyOS is building the data infrastructure for the next generation of provider technology. As we scale across Credentialing, Monitoring, Rosters, Provider Network Operations, the biggest bottleneck is no longer just building features - it is making the platform easier for internal teams and customers to configure, operate, and extend safely. As the Senior Technical Product Manager, Data, you will own the strategy and execution for the system that keeps credentialed practitioners continuously compliant with NCQA standards. You'll be accountable for the end-to-end data provisioning experience, the data elements, the quality of that data, and the source veracity that proves historical compliance during audits. The ideal candidate would be comfortable making all provider data pipelines trustworthy, fast, configurable, and cheap to run at scale, while moving the team from a service-driven, manual-review posture toward a productized, self-serve, AI-native one. This role sits at the intersection of platform thinking and technical product expertise. You'll partner closely with the Application Product team, Operations, Implementation and Client Success teams.

What You Will Do

• Sourcing: getting the data
  • Own "detect need" and source routing.
  • Define what triggers a data request (a new file, a monthly monitoring cycle, an expiring element) and the rules that route it to the best source: bulk file, API, scraper, paid vendor, outreach or a human analyst.
  • Own source economics. Know the cost, coverage and latency of every source.
  • Decide when to build a scraper, buy an API or pay for a bulk feed.
• Association: getting it on the right practitioner
  • Own attribution and matching.
  • Define how acquired records are matched to practitioners across identifiers that are often missing or conflicting, including probabilistic matching models.
  • Set the quality bar for false and missed matches, and own the review path for low-confidence results.
  • Own survivorship and Master Data Management governance.
  • Define which source wins for each attribute, and make that configurable.
  • Golden record rules, merge and unmerge, audit trail, and a monitoring and observability loops so matching changes never ship blind.
• Across the chain
  • Build explainability. Anyone in the company should be able to ask why a license is missing, stale or attached to the wrong practitioner, and get a traced answer from source to screen.
  • Measure data loss end to end.
  • Build the attribute-level funnel that shows where data drops out between acquisition and the application.
  • Keep data pipelines stable.
  • Triage pipeline and data escalations, separate one-off fixes from product gaps, and cut the volume of manual re-scrapes and stale-data tickets.
  • Define metrics for data platform effectiveness.

Qualifications

• AI-native execution. At home and highly productive in Claude Code, Codex, Cursor or similar.
• 5 to 8 years of experience, with at least 3 years with technical product management experience with data products or backend products.
• Technical fluency across APIs, data pipelines, retries and orchestration, and third-party data integrations.
• Hands-on experience with at least one of: data acquisition, scraping or ingestion; or entity resolution, record linkage, MDM or identity matching.
• Strong SQL and data literacy: completeness and freshness metrics, data modeling basics, warehouse tooling (BigQuery a plus).
• Experience turning manual operational workflows into product capability, and the judgement to say no to one-off requests.
• Clear written communication. You write specs an engineer and a coding agent can both build from.

Nice-to-Haves

• Experience in healthcare technology, provider data management, credentialing, or NCQA/CMS-regulated data environments.
• Experience with rules/flagging engines, exception-review workflows, or compliance audit tooling.
• Experience building AI-assisted internal tools, agentic triage/resolution, or support copilots.
• Familiarity with BigQuery, embedded analytics, or customer-facing compliance reporting.
• Background as an engineer or technical implementation lead before PM.
• Startup/high-growth experience in data platform or US SaaS applications.

Benefits

• 100% coverage of health, dental, and vision insurance premiums for employees.
• Unlimited PTO, with at least two weeks off each year to recharge for US-based team.
• Health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women in India.