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Senior Data Product Manager

Project Management Full-time Permanent United States

Job details

$175,000-$215,000 Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Own a data product area from customer discovery through roadmap, delivery, and measurement. You’ll work with engineering, data, machine learning, analytics, and customer-facing teams to turn complex data and AI capabilities into useful, scalable software. The role calls for a hands-on product leader who can make sound choices in ambiguous settings and connect near-term outcomes to a durable product direction.

Responsibilities

- Define product vision, outcomes, acceptance criteria, and priorities for an assigned area. - Discover unmet needs by working with customers, product marketing, and data teams. - Prototype, test, and deliver data products and algorithms with cross-functional engineering teams. - Identify where AI, language models, or automation can provide meaningful user value, and guide those capabilities into products. - Partner with data, machine learning, and analytics engineers to operationalize products and supporting tools. - Maintain a clear roadmap, communicate progress, and own metrics used to assess product and business results.

Requirements

- At least five years of product management experience, ideally with vertical B2B software, and a record of shipping successful products. - At least one year building or leading AI solutions. - Experience developing complex data products with cross-functional teams. - Strong product fundamentals across discovery, prioritization, metrics, user feedback, and go-to-market coordination. - Practical technical skills, including comfort investigating data, using AI tools, and tracking product metrics. - Ability to make tradeoffs across user needs, technical constraints, and business priorities, and communicate decisions clearly.

Benefits and work setup

- Remote work across the United States, with a home-office stipend and Wi-Fi reimbursement. - Health, dental, and vision coverage; flexible time off and hours; learning support; and 8–16 weeks of paid parental leave. - Optional team gatherings and several in-person collaboration opportunities each year.

Skills detected in the listing

GoMachine LearningLLM
Detected Nov 10, 2026
Last verified Nov 12, 2026

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