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.
We’re looking for an Infrastructure Senior Engineering Manager to help us build a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP. Our team’s mission is to create a seamless developer experience by providing a stable, observable, and easy-to-use infrastructure platform.
Over the past year, we’ve designed and operationalized a next-gen cell-based architecture, scaling the dbt platform across all three cloud providers. Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design.
As a Senior Engineering Manager, you'll lead your team on infrastructure projects to refine our platform while ensuring performance, reliability, and an excellent developer experience. You'll collaborate across teams, tackle real infrastructure challenges, and help shape the future of the multi-cloud dbt platform.
About the Team
You'll be managing one of the infrastructure teams within the larger Platform organization. This team will be responsible for our infrastructure as a service, multi-cell management and migrations, network ingress/egress connectivity, private link connectivity to data warehouses.
In this role, you can expect to:
- Build, lead, and coach a team of 8-12 engineers to manage the infrastructure for the dbt platform and report to the Director of Infrastructure
- Empower your team to achieve big goals by giving them product and business context and supporting team ownership of the roadmap, product development lifecycle, and technical excellence.
- Dive deep into our product to frame tradeoffs and make decisions about what, how, and when we build.
- Partner with Product Marketing, Solutions Architecture, and Customer Support to build delightful migration experiences, helping our customers seamlessly move off legacy deployments.
- Coach engineers in product thinking, quality, and software engineering. Build individualized growth plans and match interests and capabilities to team goals.
- Work with peer managers to evolve organizational processes like product training, technical decision making, project execution, and planning.
Mandatory skills
- 5+ years in people management with a software or infrastructure engineering team
- Experience managing senior individual contributors (Staff+ level).
- Experience supporting a cloud-based infrastructure with complex resource requirements and global deployment strategy. You bring hard-won expertise on reliability, availability, performance, and security at the intersection of application and infrastructure.
- Deep understanding of Terraform and cloud infrastructure state management
You are a good fit if you have:
- Experience leading teams through all parts of the product development lifecycle. You’ve lived design, implementation, end-to-end testing, observability, release strategies, and incident management.
- Have successfully partnered across teams and departments to coordinate cross-cutting initiatives
- You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem.
You’ll have an edge if you have:
- Worked asynchronously as part of a fully-remote, distributed team
- Have excellent written communication skills. We are a remote-first company that uses writing to facilitate decision-making.
- Startup or scaleup experience. You may be asked to wear many hats, and agility in shifting roles and scopes will contribute to your success.
Compensation & Benefits
- The typical starting salary range for this role is: $223,000 - $270,000 USD
- The typical starting salary range for this role in the select locations listed is: $248,000 - $300,000 US
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!
- Interview with a Talent Acquisition Partner (30 Mins)
- Technical Interview with Hiring Manager (60 Mins)
- Team Interviews ( 3 rounds, 45 Mins each)
- Final Values Interview (30 Mins)
If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!
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. RSUs or comparable benefits may be offered depending on the legal or country limitations.
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