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Senior Product Manager, Data Products

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Lark Health
Full Time position
Listed on 2026-04-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 128600 - 194800 USD Yearly USD 128600.00 194800.00 YEAR
Job Description & How to Apply Below

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 such as obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real‑time personalized counseling and health monitoring for each patient, enabling actionable insights that empower users to live happier, healthier lives.

Come join our team!

The Role

We’re looking for a Senior Product Manager to own client‑facing reporting and our nascent data products. You’ll transform a services‑heavy reporting workflow into scalable, self‑serve data products that health plan clients want to buy—defining the product vision, building the first versions, and proving value with real clients.

What You’ll Do
  • Own the product strategy and roadmap for Lark’s client reporting and data products—tools health plan partners use to understand member engagement, clinical outcomes, and program ROI. Turn manual, services‑driven reporting into scalable, self‑serve data products.
  • Own the intake and prioritization of client data requests. Triage holistically, bridge business and technical teams, and formalize 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—owning 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, not 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.
What You’ll Need
  • Experience building data products from early stage—moving from “email spreadsheets to clients” to “clients log in and get what they need.”
  • Strong SQL skills and fluency with BI/analytics tools (Looker, Tableau, Mixpanel, or similar). 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. View data quality as a product concern.
  • Comfortable writing detailed specs and directly managing partner‑facing deliverables. This role operates at both strategic and execution layers.
  • Comfort with ambiguity and early‑stage product definition. Ship product on top of a still‑being‑built data infrastructure.
  • Clear, direct communication. 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 client expectations and data reality.
  • Experience with AI/ML‑driven insights or predictive analytics products is a plus.
  • 5+ years of product management experience, with meaningful time on B2B data products, analytics platforms, or client‑facing reporting tools.
Working at Lark

Lark operates as a remote organization; all employees must reside in the United States.

The specific salary offered to a candidate will depend on factors such as location, job level, and verified job‑related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for bonus programs and stock awards, where applicable.

Lark is an Equal Opportunity and Affidative 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.

Compensation Range: $128.6K - $194.8K

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Position Requirements
10+ Years work experience
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