At Caribou, we care about giving people financial freedom so they can focus on what’s most important to them. Today, less than two percent of Americans refinance their auto loans despite drastic increases in the cost of new and used cars. We see huge potential to help folks reduce their monthly auto expenses, as well as increase the predictability of those expenses over time. We do this by building technology to pair customers with community banks and credit unions, and ushering them through the process quickly. On average, our drivers save $159/month on their car loans while protecting their investment long term. Caribou is led by leaders from the technology, automotive, and finance industries. We’re proud to be backed by a great team of investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others. About the Role The Challenge Do you know what it takes to evolve "some dbt models" into a fully governed, well-tagged data platform that every function in the company trusts? Are you ready to take IaC from 60% to 100% coverage while building multi-region resiliency for sensitive financial data? The Team and Scope As our Data and Platform Engineering Manager, you'll lead a team of six engineers — three data and three platform — reporting directly to the CTO. You'll steward the full lifecycle from raw ingestion to governed data assets, while growing Caribou's GCP infrastructure toward complete automation and cost efficiency. This role sits at the heart of Caribou's engineering leadership team — a meaningful seat at the table as we scale toward our next stage. Our Stack and Philosophy We're on GCP (GKE, Cloud Storage, CloudSQL, BigQuery, Cloud Composer) and use dbt and Pulumi. We care more about your engineering fundamentals and curiosity than your specific history with these tools. If you're experienced in AWS, Snowflake, or Terraform and excited to apply those principles to our stack, we want to talk to you. Your First 90 Days Your primary mission will be to lead your data engineers, alongside our analytics and data science teams, in maturing our medallion and marts architecture. We aim to deliver material protection against data evolution for the organization by the second half of 2026.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed