Clover Health is transforming healthcare with their innovative primary care tool, Counterpart Assistant. They are seeking a Senior Product Manager to own Customer Integrations, ensuring data reliability and building integration infrastructure to support clinical workflows and analytics as the customer base grows.
Responsibilities:
- Customer data completeness and reliability across markets. Claims, pharmacy, labs, enrollment, provider alignment, and clinical data should be fit for purpose in every market we operate in. You are accountable for that outcome across the full lifecycle, from initial onboarding through ongoing data health
- Direct enterprise customer relationships for data delivery. You work directly with customer data and technical teams, driving execution, resolving quality issues, and building the kind of trust that comes from deep technical engagement. You balance hands-on partnership with standard approaches that work across the customer base
- Integration infrastructure that compounds. Every integration you run should make the next one faster. You will build playbooks, standard data expectations, reusable patterns, and monitoring frameworks that make onboarding predictable and scalable, leveraging AI to automate validation and reduce manual effort as the customer base grows
- Concurrent execution across customers. You will manage multiple customer integrations in parallel, making prioritization decisions and maintaining momentum across a growing portfolio
- Downstream accountability. You work closely with data management, engineering, analytics, and clinical product teams to close the gap between data arriving and data being useful for the workflows that depend on it
- AI-augmented data operations. You will leverage AI to accelerate everything, from investigating data to triaging quality issues. You build AI first repeatable patterns that scale to a growing number of customers and data sources
Requirements:
- 6-8+ years of product management experience owning outcomes in healthcare data, integration platforms, or clinical data operations
- Deep working knowledge of healthcare data: claims, pharmacy, labs, enrollment, provider networks, and medical records
- Experience working directly with enterprise customers or partners on data delivery, quality, and technical coordination
- Experience in health-tech involving payer, provider, or value-based care data operations
- Managed multiple concurrent integration efforts and can keep a growing portfolio moving
- Build infrastructure that scales. Think in terms of patterns and systems
- See AI as essential to data operations, not optional, and have experience using it to investigate, validate, and scale work that would otherwise require manual effort
- Thrive in an empowered product organization and can drive a roadmap with limited direction