Note: The job is a remote job and is open to candidates in USA. Komodo Health is a healthcare technology company that uses real-world patient data and innovative algorithms to improve patient care and reduce the global burden of disease. The Senior Data Product Manager will drive the strategy, development, and execution of core data products, working with engineering, product, and commercial teams to define customer use cases, requirements, evaluation criteria, and delivery priorities.
Responsibilities
- 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
Skills
- 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
Benefits
- Performance-based bonuses, as determined in the Company's sole discretion and in accordance with a written agreement or plan
- Equity awards
- Comprehensive health, dental, and vision insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance and life insurance
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy
- Hybrid work model with hubs in San Francisco, New York City, and Chicago
Company Overview
Company H1B Sponsorship