Product Manager, Semantic Layer

Sorry, this job was removed at 08:20 p.m. (UTC) on Tuesday, Aug 05, 2025
Hiring Remotely in US
Remote
Information Technology • Software • Database • Analytics
The Role

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:

  • Code-based data transformations unlock transparency, flexibility, and collaboration
  • Analysts should adopt software engineering best practices to build trusted data products
  • Core analytics infrastructure should be open source and user-controlled
  • Analytic code—not just tools—should be shared and community-driven
dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
 

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.

Privacy Notice
Supplement to Privacy Notice - Californians
Supplement to Privacy Notice - EEA/UK

dbt Labs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dbt Labs and has not been reviewed or approved by dbt Labs.

  • Fair & Transparent Compensation Compensation ranges are accessible internally, updated twice a year using external market data, and guided by a stated philosophy targeting competitive cash and equity. Feedback suggests people can understand how their pay is determined relative to market and role.
  • Parental & Family Support Paid parental leave of 16 weeks and additional family‑oriented paid leaves are described as generous and broadly available. A remote‑first setup with encouraged time off further supports family needs.
  • Healthcare Strength Medical, dental, and vision coverage is presented as high‑quality for employees and dependents, complemented by mental health support and company‑paid disability and life insurance (US). Wellness programs and a health‑related travel benefit reinforce overall health support.

dbt Labs Insights

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The Company
HQ: Philadelphia, PA
700 Employees
Year Founded: 2016

What We Do

At dbt Labs, we make data work.  Our open-source software, dbt, enables anyone who knows SQL to engineer, document, and test data pipelines.  By empowering analysts to work like and with data engineers, dbt drastically increases an organization's ability to model and serve analytics. We’ve built a community of 100,000+ people and are backed by top investors including Andreessen Horowitz and Sequoia Capital. dbt is already used and loved by thousands of companies and dbt Cloud enables this workflow at scale.  dbt Labs headquarters are in Philadelphia, Pennsylvania, but we are a distributed team and advocate for a remote-first culture. We want our people to work from the places where they are happiest, healthiest, and most inspired to do great things.

Why Work With Us

At dbt Labs, we bring our whole selves to work. We bring our interests and experiences, our cultural influences, our physical and emotional needs, our communication styles and lifestyles, our values, and our curiosity. We have built a lot of trust in each other, and we work hard to be worthy of it.

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