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Principal Product Manager, Data & AI

Project Management Full-time Permanent United States

Job details

$224,000—$280,000 Salary
United States Eligibility
Principal Experience
Full-time Employment

About this role

Role overview

Own the product strategy for shared data platforms and capabilities, connecting data engineering and analytics with product, marketing, customer experience, and go-to-market teams. The goal is to turn fragmented data sources into trusted foundations for company metrics, customer understanding, experimentation, and activation workflows.

Responsibilities - Set the strategy, roadmap, and operating model for a customer data platform that supports unified profiles, segmentation, activation, and experimentation. - Partner with data engineering on the enterprise warehouse and platform roadmap for reporting, analytics, and downstream products. - Translate business needs into scalable platform capabilities, clarifying priorities, dependencies, and cross-team plans. - Establish metric governance and certification practices with analytics leaders so teams can rely on consistent definitions and sources of truth. - Help users adopt core data platforms and configure end-to-end workflows that support acquisition, customer success, and operations.

Requirements - 10+ years of product management or related experience, with a record of delivering data, analytics, infrastructure, or platform products. - Strong understanding of customer data platforms, event instrumentation, experimentation, warehouses, data pipelines, modeling, and governance. - Experience with modern data tools such as Snowflake, dbt, Segment, HubSpot, Mixpanel, or equivalents. - Practical experience scaling experimentation and activation in a consumer or product-led growth environment. - Ability to assess technical architecture and explain trade-offs to technical and business audiences. - Strong product judgment and cross-functional influence, including experience in privacy-, security-, or compliance-sensitive environments.

Nice to have - Hands-on background in data engineering, analytics engineering, or data modeling. - Experience supporting business-to-business sales and go-to-market tools, or working in healthcare settings subject to HIPAA requirements.

Benefits and work setup - Medical, dental, vision, life, and disability coverage; retirement plan with company match; flexible time off, wellbeing days, holidays, and summer Fridays. - Mental health resources, parental leave, backup care, tuition support, and employee resource groups. - Listed annual base compensation range: $224,000–$280,000 USD.

Skills detected in the listing

GoSnowflakedbtData Engineering
Detected Oct 28, 2026
Last verified Nov 12, 2026

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