Product Manager, Semantic Layer
About Us
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
Who we are
At dbt Labs, we have developed strong opinions on how companies should practice analytics.
Specifically, we believe that:
- Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
- Data analysts should adopt similar practices and tools to software developers
- Critical analytics infrastructure should be controlled by its users as open source software
- Analytic code itself — not just analytics tools — will increasingly be open source
It turns out that a lot of other people believe this too! Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and 5,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.
dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here.
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.
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