Senior Full Stack Engineer, Growth (US)

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 Cloud Application Team: 

The Cloud App group at dbt Labs builds and maintains dbt Cloud, our flagship product. We work across the stack — spanning scalable, distributed backend systems, modern and performant front end client code, robust APIs, auth, permissions, user and plan management, integrations, and more. We’re building a growth roadmap, and are looking to add a driven Senior Software Engineer to our Growth team!

We value a collaborative and highly iterative environment. We like to ship code — early and often. We listen to our customers — and adapt to change so we can best deliver value. As a Senior Engineer on the team you will prioritize and tackle problems as they arise. Project specifics may vary, but can include: developing features for customers, strengthening APIs, and implementing new systems end to end. There will also be opportunities to provide mentorship and guidance, while fostering a learning environment that encourages innovation and technical excellence.

In this role, you can expect to:

• Work as a Full Stack Engineer — implementing growth strategies and experiments to drive user acquisition, engagement, and retention
• Champion industry best practices to help scale, maintain, and own services end to end
• Collaborate closely with our customers and product managers to deeply understand and expand our opportunities to revolutionize the modern data stack

Qualifications:

• Have 5+ years experience as a software engineer
• Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.) OR
• Completed enrollment in engineering-related bootcamp

You are a good fit if you:

• Previous experience working on Products with product-led-growth or self-serve growth motion
• Are a highly pragmatic engineer, proactive, strategic thinker, capable of working across the full stack of technologies to develop and improve product
• Are an excellent written and verbal communicator
• Find success working asynchronously as part of a fully-remote, distributed team

You'll have an edge if you:

• Strong experience implementing growth through a series of targeted changes with demonstrable quantitative impact
• Have experience in the data space, using or building data tools
• Previous experience working with modern data warehouses (Snowflake, Databricks, BigQuery, Redshift, Spark, Presto, etc)
• Previous experience working with dbt for analytics engineering
• Comfortable discussing, explaining and reasoning about dbt project development best practices

Compensation & Benefits

• Salary: $155,000 - $195,000 USD
• 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!

*Equity or comparable benefits may be offered depending on the legal limitations

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 one of our Directors

 

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 ope