dbt Labs
Product Manager, Semantic Layer
Job Summary
The Product Manager role at dbt Labs focuses on leading the product vision, strategy, and execution for the Semantic Layer, including components like MetricFlow, caching, and API integrations. The role involves collaborating across engineering, design, sales, and community teams to develop features that meet customer needs and drive product adoption. Candidates should have extensive experience in product management within data analytics or engineering, with a strategic mindset and strong cross-functional leadership skills. The position emphasizes community engagement, lifecycle ownership, and technical understanding of analytics products and data transformation tools.
Required Skills
Benefits
Job Description
About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
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
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.
dbt Labs
dbt Labs makes data transformation easy for modern data teams. Build, test, and document reliable analytics in the cloud with dbt Labs..
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