Product Manager - Data; B2B SaaS
Listed on 2026-07-26
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IT/Tech
Business Systems & Technology Analysis, Data Analyst
We're looking for a Product Manager to join the Data Engineering and Analytics organization and drive the execution, visibility, and clarity of our Sales Data Products portfolio. You'll work closely with the Director of Product Management as a force multiplier — keeping cross-functional teams aligned, engineering unblocked, and leadership informed. This is a high-impact execution-focused role for someone who thrives on bringing structure to complexity, communicates with precision, and makes progress visible.
WhatYou'll Do
Partner with the Director of Product Management for Sales Data Products to own the roadmap and drive delivery of complex data products from discovery through launch and measurement. Translate ambiguous problems into clearly scoped initiatives with defined outcomes.
Execution & Operational ClarityOwn the day-to-day execution rhythm of the team — run planning meetings, maintain Jira/Linear hygiene, produce clear status reporting, and ensure leadership and stakeholders have real-time visibility into what's in flight, what's at risk, and what's shipped.
Work with large-scale datasets to inform product decisions, build stakeholder conviction through data, surface customer insights, and identify product improvement opportunities in partnership with analytics and engineering teams.
Cross-Functional CollaborationServe as the connective tissue between Engineering, Sales, Analytics, Finance, and Go-To-Market teams. Drive alignment across functions to scale product adoption and usage, and ensure no work falls through the cracks between teams.
Customer EmpathyTranslate customer feedback and real-world workflows into precise, actionable requirements that enable engineers to build consumable, high-quality data products. Write clear PRDs and specs that leave no room for ambiguity.
- 7+ years of experience in product management or a highly technical, data-oriented engineering role
- Demonstrated ability to understand and articulate complex data systems, API platforms, and AI/ML technologies
- Proven track record delivering both 0-to-1 products and scaling products at enterprise level, with measurable business impact
- Strong written communication skills — you write documents that make decisions easier and meetings shorter
- Experience managing project visibility tooling (Jira, Linear, or equivalent) and producing executive-ready reporting
- Bachelor's degree in a technical field (Computer Science, Data Science, Engineering) or equivalent practical experience
- Prior experience at a SaaS company or in a Sales/Revenue technology domain
- Familiarity with data infrastructure, pipelines, or analytics platforms (e.g., Snowflake, dbt, Tableau)
- Experience embedding with engineering teams in an agile environment
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