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$129k – $232k per year (Estimated)
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Remote/Hybrid (United States)
Seniority
Senior
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Komodo Health is a company founded in 2014 that maintains a longitudinal map of patient journeys built from de-identified claims and clinical data covering most of the United States population. Machine learning over that healthcare map supports research into disease progression, treatment patterns and access gaps. Life sciences companies, payers and advocacy groups use its software for evidence generation and commercial analytics.

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map - the industry’s largest, most complete, precise view of the U.S. healthcare system - by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease - and enjoy the journey along the way.

At Komodo, we partner with organizations throughout the healthcare ecosystem to improve patient care and reduce disease burden through data-driven insights. As a member of the Data Product team, you’ll help us to build a best-in-class healthcare data architecture covering hundreds of millions of patients through tens of billions of transactions that provides the foundation of that mission. Our people are the center of our success. We are a smart, supportive team with diverse perspectives and a shared passion for fixing what’s broken in healthcare. It’s fun, challenging and important - and we’re looking for folks with a shared mindset to join our team.

We’re looking for a Senior Data Product manager to help drive the development and innovation of our core data products. In this role, you’ll work with engineers to drive our product strategy and execution on Komodo’s growing suite of data products. You’ll work with engineering leadership to help craft our technical strategy based on your deep understanding of our platform and customer needs. As a Data PM, you’ll work closely with our product principal and commercial teams to document use cases, create requirements, design evaluation criteria, and ensure on-time high-value analysis. You’ll own the day to day responsibilities for sprint management, and will ensure that the team is operating at high levels of efficiency. You’ll also work cross-functionally to ensure collaboration with teams throughout the organization, and will help to share knowledge throughout the company.

  • Developed real fluency in our data through a customer lens
  • Led discovery into a set of customer use cases and built an evidence-based point of view on where Komodo is uniquely positioned to win
  • Shipped marked improvements to one or more core data products
  • Identified, scoped, and validated at least one new data product opportunity or significant enhancement to an existing product
  • Built a prioritized, evidence-backed backlog that the team and stakeholders trust
  • Earned trust as a thought partner to Data Engineering and the commercial-facing team

  • Experience in a data-focused role at a B2B technology or software company, with prior product management experience a strong plus
  • Real technical depth, including the ability to write and understand SQL, reason about data models and pipelines, and engage substantively with engineers on tradeoffs rather than relaying messages between them and the business
  • Working knowledge of the core concepts behind statistical data analysis, and the judgment to notice when they are being misapplied
  • Experience with US healthcare data, and an understanding of the questions life sciences teams bring to it 
  • Curiosity about how data and systems are built and where they break, paired with the drive to go find the answer and comfort in not knowing something for a while
  • A bias toward the simple version, with the patience to sit with an ambiguous problem and ask the question that reframes it rather than shipping the first workable answer 
  • The ability to break a conceptual goal into smaller, actionable pieces, with enough attention to detail to define what "done" and "good" mean before work starts
  • A drive to understand our customers deeply, and to translate that understanding into requirements precise enough to build from
  • Fluency with AI tools as part of how the work actually gets done, including exploring unfamiliar datasets, prototyping concepts, drafting and pressure-testing requirements, and challenging their own reasoning

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. 

San Francisco Bay Area and New York City:

$186,000—$252,000 USD

All Other US Locations:

$162,000—$219,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution - we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work - from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary - some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

By submitting your application, you acknowledge that you have read and understand Komodo Health’s  Privacy Notice for Employees and Contractors.

This notice explains how we collect, use, and retain applicant data.

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