Senior Product Manager

Fullstory is a leading behavioral data platform focused on enhancing digital experiences for businesses. They are seeking a Senior Product Manager to oversee the Data Management Platform, responsible for governance, analytics, and ensuring data quality while collaborating with cross-functional teams to drive product success.

Responsibilities:

• You'll own the "why" and "what" - for our Data Management Platform, which includes our data governance, lineage, data quality, and analytics capabilities
• You will develop and evangelize a compelling product vision and strategy that aligns with our company goals
• You'll be an enabler
• You'll obsess over the needs of your customers to build scalable, self-service analytics capabilities that empower them to work efficiently and unlock new insights
• You'll connect with your customers - You will build deep relationships with stakeholders to understand their needs, gather requirements, and ensure the platform you're building solves their most pressing data challenges
• Collaborate across teams - Collaborate closely with Engineering, Design, Research, and other Product teams to build scalable, extensible, and performant query abstractions
• You'll drive adoption - You will be the biggest advocate for your domain, partner cross-functionally with Product Marketing, Customer Success, Professional Services and Solutions Engineering to ensure successful launches and adoption

Requirements:

• 5-7 years of product management experience
• Proven ability to ship complex, technical products in a fast-paced environment
• Strong familiarity with data, analytics and modern AI products
• Deep understanding of the modern data landscape, including data warehousing, ETL/ELT, agentic workflows and the technical challenges that come with building data platforms at scale
• Comfortable in the weeds with engineering and can thoughtfully contribute to high-level architectural plans and technical discussions
• Demonstrated ability to lead cross-functional teams, manage stakeholders, and articulate complex concepts to both technical and non-technical audiences
• Ability to structure ambiguous problems, develop clear hypotheses, and prioritize work against the most impactful initiatives