Senior Product Manager, Pipeline Management

About the Team

The Data Warehouse Infrastructure (DWI) team is HubSpot's backbone for data analysis, transformation, and access. We build intelligent data solutions, and the underlying AI-powered platform for HubSpotters, to securely and efficiently transform data into business growth.

The Pipeline Management group within DWI owns the full data lifecycle: getting data in, moving it through transformation, and getting it back out to the systems and people that need it. Our four sub-teams - Ingestion, Orchestration, Egress, and Pipeline Reliability - operate as a connected system. As their PM, you'll hold the thread across all of them.

In This Role You'll Get To:

• Own the product strategy and roadmap across the full Pipeline Management group
• Partner closely with Engineering leads to move from ambiguous problem to shipped solution
• Drive alignment and build shared understanding across DWI and with cross-functional partners including Analytics Engineering, and internal business stakeholders
• Navigate real cost and infrastructure constraints - Snowflake spend, vendor transitions, legacy system migrations - with a clear sense of tradeoffs
• Champion the developer and data user experience, pushing for self-service capabilities that reduce friction and enable teams to move faster
• Use data to identify opportunities, set measurable goals, and iterate based on what you learn
• Shape a team culture that values reliability, transparency, and continuous improvement

We Are Looking For People Who Have:

• A track record of successfully shipping products in a technical or infrastructure domain
• Comfort with data infrastructure concepts - warehousing, pipelines, orchestration, data modeling - or a demonstrated ability to get up to speed quickly
• A multidisciplinary approach to thinking, combining technical depth with business judgment to identify opportunities and weigh tradeoffs
• The ability to manage a broad scope without losing clarity
• Strong communication and influencing skills, including with engineers, data practitioners, and senior stakeholders
• A drive to understand the needs of internal customers and genuinely solve for them
• The ability to make decisions, test assumptions, and iterate, often without perfect information
• Experience with Snowflake, dbt, or data pipeline tooling is welcome, but not required