Product Manager, Semantic Layer

Summary

Join dbt Labs as the Product Manager for the Semantic Layer, a top company initiative. You will define and execute the product vision, collaborating with engineering, design, and go-to-market teams. Responsibilities include market research, gathering customer feedback, and managing the product lifecycle from ideation to launch. You will also engage with the developer community and ensure strategic alignment across teams. The ideal candidate has 7+ years of product management experience in data analytics or data engineering, a strategic mindset, and proven cross-functional collaboration skills. Competitive compensation and benefits are offered, including salary, equity, and various perks.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Salary :We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay
• 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
• Unlimited vacation (and yes we use it!)
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!