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Senior Product Manager, Customer Integrations

Remote - USA

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we deliver improved outcomes at lower cost through early diagnosis and longitudinal care management of chronic conditions.

We are looking for a Senior Product Manager to own Customer Integrations.

You are accountable for ensuring that the data our customers provide is complete, reliable, and continuously useful for the clinical workflows, analytics, and provider-facing tools built on top of it. You will work directly with customer data and technical teams as their primary counterpart at CPH, and you will build the integration infrastructure that lets us scale as our customer base grows.

You are accountable for whether the data actually works for products, for providers, and for customers, and for recognizing when it does not.

As a Senior Product Manager of Customer Integrations, you will:

  • 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.

Success in this role looks like:

  • Time from customer contract to high-confidence data readiness compresses as integration infrastructure matures.
  • Enterprise customers view you as a trusted technical partner who understands their data, their constraints, and how to move forward together.
  • Clinical product, analytics, and operations teams build confidently on the data your integrations deliver.
  • Every new customer integration is faster than the last because of the systems, patterns, and monitoring you have built.
  • Data issues are identified and resolved before they surface in product behavior or customer feedback.

You should get in touch if:

  • You have 6-8+ years of product management experience owning outcomes in healthcare data, integration platforms, or clinical data operations.
  • You have deep working knowledge of healthcare data: claims, pharmacy, labs, enrollment, provider networks, and medical records. You understand how these sources behave operationally and where they commonly fall short.
  • You have experience working directly with enterprise customers or partners on data delivery, quality, and technical coordination.
  • You have experience in health-tech involving payer, provider, or value-based care data operations.
  • You have managed multiple concurrent integration efforts and can keep a growing portfolio moving.
  • You build infrastructure that scales. You think in terms of patterns and systems.
  • You see AI as essential to data operations, not optional, and you have experience using it to investigate, validate, and scale work that would otherwise require manual effort.
  • You thrive in an empowered product organization and can drive a roadmap with limited direction.

Benefits Overview:

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.


#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$157,000 - $205,000 USD

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Have you independently owned end-to-end data integrations with external enterprise customers — including mapping, validation, and quality resolution — for at least TWO of the following: medical claims, pharmacy data, lab results, or enrollment files?

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Have you built or significantly contributed to reusable integration infrastructure — such as onboarding playbooks, data validation frameworks, or monitoring pipelines — that was adopted by your team and demonstrably reduced time-to-onboard for subsequent customers?

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Have you used AI tools — such as LLMs, automated validation scripts, or AI-assisted data investigation — to actively reduce manual effort in a data operations or integration workflow, in a role where you were accountable for the outcome (not just a contributor)?

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