Dbt Analytics Jobs (NOW HIRING)

About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the role

We're hiring a Product Manager to lead the dbt v2 roadmap - the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform.

This role is co-located with our dbt v2 engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion.

In this role, you will

• Own and deliver the dbt v2 roadmap, shipping net new functionality to dbt v2 like SQL comprehension, compute, governance, and SAO
• Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value
• Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence
• Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations
• Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap

What success looks like

• Shipping net-new features on a predictable quarterly cadence
• Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments
• Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase
• Strong execution and alignment across the Fusion engineering team

You're a good fit if you have

• 5+ years of product management experience in technical domains such as developer tooling, data platforms, or open source software
• Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases
• Understanding of how open source investments drive PLG growth and product strategy
• Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics
• Experience working with engineering teams to define, prioritize, and ship complex technical features
• Strong communication skills with empathy for open source contributors and enterprise users alike

Nice to have

• Hands-on experience with dbt or similar transformation frameworks
• Background in plugin architectures, extensibility systems, or platform ecosystems
• Understanding of PLG motions and freemium-to-paid conversion strategies
• Experience with SQL engines, query optimization, or compute systems
• Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.)

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