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Senior Engineering Manager, Multi-Cell

About Us

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.
 

Over the past year we have built a next-generation multi-cell architecture and we are now looking for a Senior Engineering Manager to lead this Multi-cell team and drive the next stages of platform maturation.

The cell-based architecture is a large-scale, worldwide distributed system, and this team has an outsize impact on every customer of dbt Labs. Today we serve some of the largest data-driven organizations in the world, enabling them to make decisions based on the knowledge at the core of their business. The quality, reliability, and performance our cell implementation equates to leverage for analysts, analytics engineers, and data engineers in organizations of all shapes and sizes.

In this role, you can expect to:

  • Build, lead, and coach a team of 5-8 engineers building the cell-based architecture for dbt Cloud.
  • 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.
  • Develop a technical vision for the maturation of our cell architecture, control plane, and network boundaries.
  • 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.

You are a good fit if you have:

  • 3+ years in people management with a software engineering team.
  • Experience in cloud based applications with complex resource requirements and global deployment strategy. You have earned wisdom about best practices at the place where application and infrastructure meet, including a POV on achieving reliability, availability, performance, and security.
  • 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 scale-up experience. You may be asked to wear many hats, and agility in shifting roles and scopes will contribute to your success.

Compensation & Benefits

  • Salary: $228,000 - $270,000 USD
  • 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!

What to expect in the hiring process (all video interviews unless accommodations are needed):

  1. Interview with Talent Acquisition Partner
  2. Interview with Hiring Manager
  3. Team Interviews
  4. Final interview with CTO

#LI-RC1

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

  • Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
  • Data analysts should adopt similar practices and tools to software developers
  • Critical analytics infrastructure should be controlled by its users as open source software
  • Analytic code itself — not just analytics tools — will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. 

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns.  If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here

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.

 

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