Engineering Manager, Cost Optimization

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.  

About the Team

Our team is embarking on a mission to build a cost management solution that helps our customers manage their data platform spend. As part of this incubation effort, you’ll lead a talented, cross-functional team within Application Engineering, collaborating closely with product and field teams to breathe life into a product with incredibly positive early feedback. This role offers the rare opportunity to shape and stabilize a product from inception, directly impacting the customer experience and outcomes.

In this role, you can expect to:

• Build an international team of highly talented and engaged engineers.
• Collaborate closely with product teams to shape a customer-centered cost optimization experience.
• Coach and mentor engineers on the team to help them grow their skills and their careers.
• Manage a vertically integrated team to deliver an end-to-end product experience to customers.
• Cultivate a culture of quality, reliability, and empathy toward user needs within the team.
• Employ both software and data engineering skills to build a robust, production-grade system powering this cost optimization experience.
• Hold 1:1s, quarterly and annual reviews with every member of the team.
• Gather, compile, and clearly communicate performance feedback to the team.
• Actively participate in our recruiting process from sourcing to hiring.
• Foster technical decision-making within the team and across teams.

You are a good fit if you have:

• A background in software engineering with experience leading teams focused on customer-facing products.
• Previous experience in a data-adjacent role, such as data engineering or data engineering management.
• A genuine interest in management as a means to drive engineering excellence.
• A track record of being customer-obsessed, adapting plans based on feedback to continually improve the product.
• Worked asynchronously as part of a fully-remote, distributed team.

You'll have an edge if you have:

• Led …