Data Product Manager with Snowflake, Databricks

Role: Technical Product Manager(Data Products)

Location: SFO, CA (REMOTE)

Duration: Long Term

Job Description:

Key Requirements:

• Demonstrated experience as a Product Manager, owning product discovery, requirements gathering, prioritisation, and delivery.
• Strong technical understanding of modern data platforms and data engineering ecosystems, including Snowflake, Databricks, and Amazon Redshift.
• Proven experience in B2B SaaS product management.
• Hands-on experience translating ambiguous business problems into clear, actionable product requirements, user stories, and technical specifications for engineering teams.
• Proven ability to collaborate closely with engineering, data, and business stakeholders to define scalable product solutions.
• Experience working with data-intensive products, analytics platforms, or enterprise data solutions is highly preferred.
• Candidates with predominantly Business Analyst or dashboard/reporting-focused backgrounds, without end-to-end product management ownership and technical data platform experience, are unlikely to be a fit.

What You'll Do

Product Strategy

• 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 Clarity

• Own 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.

Data & AI Innovation

• 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 Collaboration

• Serve 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 Empathy

• Translate 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.