Product Manager, Semantic Layer

About the Role

As the Product Manager for dbt Labs’ Semantic Layer, you will be at the forefront of driving product vision, strategy, and execution for one of our top company initiatives. You will partner closely with engineering, developer experience, design, sales, and community teams to ensure that the Semantic Layer product—encompassing areas like MetricFlow, caching, and API integrations—meets the evolving needs of our customers and partners. Your insights will shape both proprietary and source-available components, balancing technical feasibility with market dynamics to build trust and drive adoption.

What You’ll Do

• Define & Execute Vision: Craft a long-term vision and roadmap for the Semantic Layer that aligns with overall business goals and addresses current product gaps.
• Cross-functional leadership: Collaborate with engineering, design, and GTM teams to drive product development from ideation to launch.
• Market & User Research: Conduct comprehensive market analysis and gather developer and customer feedback to ensure our product meets real-world needs.
• Lifecycle Ownership: Manage the complete product lifecycle—from research and ideation to design, development, and go-to-market strategies—focusing on features like MetricFlow enhancements and caching solutions.
• Community Engagement: Build tight feedback loops with the developer community to continuously iterate on product features and maintain strong customer relationships.
• Strategic Alignment: Work with cross-domain teams to align the Semantic Layer’s evolution with broader commercial and engineering strategies.

You Are a Good Fit If You Have:

• 7+ years of product management experience, preferably in data analytics or data engineering products.
• Proven experience in owning end-to-end product development and driving cross-functional collaboration in a fast-paced environment.
• A strategic mindset with the ability to translate market insights and customer feedback into actionable product plans.

You’ll Have an Edge If You Have:

• A deep understanding of the analytics development lifecycle and familiarity with semantic layers, data transformation, or similar concepts.
• Prior experience with dbt, MetricFlow, or related analytics engineering tools.
• Knowledge of modern data warehouses (Snowflake, BigQuery, Redshift, etc.) and API integrations.
• Experience working in fully remote or distributed teams.
• A track record of turning complex, technical features into accessible, customer-centric solutions.
• Experience building AI-augmented analytics products

Compensation & Benefits

Salary:We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $239,000 - $289,800 USD
• The typical starting salary range for this role in the select locations listed is: $266,000 - $322,000 US

Equity Stake

Benefits - dbt Labs offers:

• • Unlimited vacation (and yes we use it!)
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend, and more!

*Equity or comparable benefits may be offered depending on the legal limitations

What to expect in the hiring process:

• An introductory call with a member of our Talent team
• A technical screen and meeting with the Hiring Manager
• A panel interview including multiple members of the Team
• A final interview with a member of our Leadership Team