Product Manager, Analytics & Reporting

Posted Yesterday
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Hiring Remotely in San Francisco, CA, USA
Remote or Hybrid
Mid level
Healthtech
The Role
Own customer-facing analytics and reporting for a voice AI healthcare product. Lead customer data implementations, troubleshoot ingestion and mapping issues, prepare internal teams for campaign execution, develop dashboards, define performance metrics, and standardize reporting. Coordinate data and QA engineers through agile delivery while scaling onboarding workflows, improving implementation velocity, and expanding analytics capabilities for payer and provider customers.
Summary Generated by Built In

Ellipsis Health is redefining how care teams engage and support patients through voice-based artificial intelligence. Our Voice AI Care Manager, Sage, delivers empathetic, real-time conversations that help health plans and care management teams scale outreach, reduce operational bottlenecks, and improve member experience and outcomes. Built on a foundation of more than 3 million real clinical conversations, Ellipsis Health’s proprietary vocal biomarker technology enables Sage to understand not just what is said—but how it is said—bringing emotional intelligence into care at scale.

Today, Ellipsis Health partners with leading health plans, PBMs, provider, pharma, care management organizations, and healthcare innovators to support engagement across a variety of care management and patient engagement use cases. Backed by top investors including CVS Health/Aetna, Salesforce Ventures, and Khosla Ventures, Ellipsis Health is entering its next phase of growth—expanding market presence, deepening enterprise partnerships, and defining the category for empathetic voice AI in healthcare.

About the team

The Product team at Ellipsis Health builds and deploys voice-based AI systems that operate inside real clinical and operational workflows. We partner closely with Customer Success, Engineering, and Commercial to ensure our platform is not only innovative but operationally deployable and scalable across complex healthcare environments. As we scale, this team owns the bridge between our core Voice AI capabilities and the technical infrastructure required to trigger, manage, and report on millions of member interactions.

About the role

We are looking for a highly analytical, execution-driven Product Manager to own how we track, measure, and display the performance of our Voice AI, Sage. Reporting to the Senior Director of Product Management, you will serve as the bridge between our complex data infrastructure and the value we present to our customers.

In the short term, you will act as the operational engine for new customer implementations, ensuring data ingestion runs smoothly and internal teams are prepared for call execution. Concurrently, you will take ownership of our customer analytics and reporting capabilities. Your mandate will be to scale our reporting tools across our customer base and lead the strategic expansion of these capabilities—defining net-new analytics features, adding functionality, and shaping how the market measures Sage's performance. You are a self-starter who thrives in the tactical weeds of data operations but possesses the product vision to scale highly intuitive, market-facing analytics tools.

What you’ll own
  • Implementation & Data Operations: Act as the primary product lead for new customer data deployments, rapidly resolving day-to-day file ingestion issues and mapping discrepancies.

  • Customer-Facing Analytics Strategy: Take ownership of our customer-facing analytics and reporting experience. You will drive the rollout of data insights to our customer base and lead discovery for expanded reporting functionality for Payer and Provider partners.

  • Operational Readiness: Ensure that internal clinical and operations teams are fully prepared for campaign execution, systemizing the unscalable aspects of our onboarding workflows.

  • Internal Reporting & Analytics: Lead the strategic evolution of our internal reporting architecture on our modern BI suite, designing dashboards that empower our Customer Success and Commercial teams.

  • Performance Metric Strategy: Partner with product leadership to define how we represent Sage’s performance to the market, establishing the core metrics that matter most to different user personas (e.g., enrollment rates, workflow success).

  • Cross-Functional Leadership: Drive the day-to-day execution and agile ceremonies for a matrixed team of data and QA engineers to ensure timely delivery of both implementations and product features.

What Success Looks Like (6-9 months)
  • Customer Analytics Adoption: Successfully scale our reporting capabilities across the customer base, delivering high-value insights that prove the ROI of Sage and drive partner engagement.

  • Implementation Velocity: Drastically reduce the manual overhead and turnaround time required to resolve data file issues and get new customer campaigns live.

  • Reporting Strategy Execution: Successfully execute the migration and consolidation of key internal and external reports onto our modern business intelligence platform.

  • Metric Standardization: Establish a unified, company-wide data dictionary and reporting standard for how we measure and communicate Sage’s performance.

Requirements
  • Experience: 3+ years of Product Management or highly technical Business Systems/Data Analytics experience, with a track record of driving cross-functional data initiatives.

  • Technical Fluency: Strong proficiency in SQL and a solid understanding of modern data architecture (data lakes, ETL pipelines, data modeling).

  • Preferred Technology: Hands-on familiarity with modern data stack technologies like Databricks, Airflow, and Sigma (or similar BI/visualization platforms) is highly preferred.

  • Operational Grit: Demonstrated ability and willingness to dive into manual troubleshooting, file resolution, and tactical operations to unblock implementations while building toward automated solutions.

  • Domain Expertise: Familiarity with healthcare data (payers/providers), population health metrics, and basic clinical workflows.

  • Customer Facing: Experience designing, launching, or scaling B2B analytics, reporting dashboards, or data products that are consumed directly by enterprise customers.

  • Startup Mindset: Ability to write against ambiguity, take ownership of failure modes, and adapt quickly as technology and priorities shift.

Salary and Benefits

We offer competitive salaries and benefits, including 401(k) matching up to 4% percentage of your salary, health, vision, and dental insurance, and flexible paid time off. The actual salary offered will be determined by a variety of factors, including, but not limited to, your individual skills, qualifications, and past experience relative to the requirements of the role.

Background Checks

As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please note that there is no set policy for rejecting candidates based on specific background check results, and we consider each candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions.

Assistance

If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to [email protected]

Skills Required

  • 3+ years of Product Management or highly technical Business Systems/Data Analytics experience
  • Track record of driving cross-functional data initiatives
  • Strong proficiency in SQL
  • Understanding of modern data architecture, including data lakes, ETL pipelines, and data modeling
  • Hands-on familiarity with Databricks, Airflow, and Sigma or similar BI and visualization platforms
  • Ability and willingness to troubleshoot manually, resolve files, and support tactical implementation operations
  • Familiarity with healthcare data, payers, providers, population health metrics, and basic clinical workflows
  • Experience designing, launching, or scaling B2B analytics, reporting dashboards, or customer-facing data products
  • Ability to work effectively amid ambiguity, take ownership of failure modes, and adapt to changing priorities
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The Company
HQ: San Francisco, CA
45 Employees
Year Founded: 2019

What We Do

Ellipsis Health was founded with the belief that a person’s mental health should have the same priority as one’s physical health. The company saw an opportunity to connect the dots between the two - giving voice to a new standard of mental health care. By harnessing the unique power of the human voice as a biomarker for mental wellbeing, along with machine learning and AI, Ellipsis Health has established the first vital sign for mental health. Its technology identifies, measures, and monitors the severity of stress, anxiety, and depression at scale by analyzing a short sample of natural speech to create an objective and scalable clinical decision support tool. Through partnerships with providers, payers, employers and digital health companies, Ellipsis Health is working to positively impact the quality of care, shorten the time to diagnosis, drive workflow efficiencies, reduce costs and improve patient outcomes.

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