Senior Data Product Manager

About the role

We are seeking a Senior Data Product Manager to lead the development and innovation of our core data products. This role requires a deep understanding of our platform and customer needs, as well as the ability to work closely with engineering leadership to shape our technical strategy.

Responsibilities

• Drive the product strategy and execution for Komodo's growing suite of data products.
• Work with engineering leadership to craft our technical strategy based on your deep understanding of our platform and customer needs.
• Document use cases, create requirements, design evaluation criteria, and ensure on-time high-value analysis.
• Own the day-to-day responsibilities for sprint management and ensure the team operates at high levels of efficiency.
• Collaborate cross-functionally to ensure collaboration with teams throughout the organization and share knowledge throughout the company.

Requirements

• 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.
• 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.

Qualifications

• 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.
• 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.

Skills

• SQL
• Data modeling and pipelines
• Engaging substantively with engineers on tradeoffs
• Statistical data analysis
• AI tools

Benefits

• 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

Pay

• San Francisco Bay Area: $186,000—$252,000 USD
• All Other US Locations: $162,000—$219,000 USD

Schedule

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.

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.