Senior Product Manager, Data

About Lark

At Lark Health, we’re leading the way into a new era of cardiometabolic care, leveraging advanced AI techniques–including deterministic and generative models–to provide scalable, affordable, and compassionate care. We help our healthcare partners manage over 30 million lives and prevent conditions like obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real-time personalized counseling and health monitoring for each patient. By providing compelling and actionable insights, we empower every user to live happier, healthier lives. Come join our team!

We’re looking for a Senior Product Manager to own client-facing reporting and our nascent data products. You’ll take what is currently a services-heavy reporting workflow and turn it into scalable, self-serve data products that health plan clients actually want to buy. This is 0→1 work: defining the product vision, building the first versions, and proving value with real clients.

• Own the product strategy and roadmap for Lark’s client reporting and data products—the tools health plan partners use to understand member engagement, clinical outcomes, and program ROI. Transform today’s manual, services-driven reporting into scalable, self-serve data products.

• Own the full intake and prioritization of client data requests. Triage holistically, bridge business and technical teams, and formalize this into a repeatable process as the team grows.

• Translate client needs into detailed specs, user stories, and partner file specifications for data engineers, analysts, and data scientists. There’s no BA beneath this role today—you own the full loop from discovery through documentation and delivery.

• Work directly with health plan clients to understand reporting needs, compliance requirements, and how they use data to make renewal and expansion decisions. Synthesize feedback to drive product improvements.

• Partner with data engineering to build on existing infrastructure (Snowflake, Mixpanel, Looker), define new capabilities, and ensure upstream data collection aligns with downstream reporting needs.

• Collaborate with Data Governance and Security on data privacy, integration risks, and delivery quality—including HIPAA, BAAs, and PHI handling in reporting contexts. You partner with governance—you don’t own it—but you’re accountable for client-facing outputs meeting the bar.

• Define and track success metrics for data products. Understand which reports and insights drive client retention and expansion.

• Shape initiatives from insight through launch using our shaping model—writing the docs that frame the problem and constrain the solution before work enters the build cycle.

• Experience building data products from early stage—you’ve taken something from “we email spreadsheets to clients” to “clients log in and get what they need.”

• Strong SQL skills and working fluency with BI/analytics tools (Looker, Tableau, Mixpanel, or similar). You can query data yourself, not just request it.

• Experience working with data engineering and analytics teams to define pipelines, schemas, and data models that serve product needs.

• Strong understanding of data architecture and how upstream collection decisions affect downstream reporting. You think about data quality as a product concern, not just an engineering one.

• Comfortable writing detailed specs and managing partner-facing data deliverables directly. This role doesn’t have a BA underneath it yet—you’ll operate at both the strategic and execution layers.

• Comfort with ambiguity and early-stage product definition. You’ve shipped product on top of data infrastructure that was still being built. This isn’t an optimization role—it’s a build role.

• Clear, direct communication. You can translate complex data concepts for non-technical stakeholders (health plan partners, client success teams, leadership).

• Experience in healthcare, health tech, or health insurance is a strong plus—especially if you’ve built reporting or analytics products in a B2B2C context and understand the tension between what clients want to see and what the data actually supports.

• Experience with AI/ML-driven insights or predictive analytics products is a plus.

• 5+ years of product management experience, with meaningful time spent on B2B data products, analytics platforms, or client-facing reporting tools.

Working at Lark 

Lark operates as a remote organization, requiring all employees to reside within the United States.  The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.

Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.

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