Product Manager - Fusion
DBT LabsUS - Remote$174k – $248kPosted 15 April 2026
Tech Stack
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 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
Reliable, high-quality data is the fuel that propels AI-powered data engineering.
AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs 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
We're hiring a Product Manager to lead the Fusion 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 Fusion 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 Fusion roadmap, shipping net new functionality to Fusion 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 Fusion 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
1–2 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 ... (truncated, view full listing at source)
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