About Caribou
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 $162/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.
What You Will Do
- Shape the architectural vision for our data platform, ensuring high-quality, self-service data assets across all business functions
- Lead the SDLC for your team, delivering platform and infrastructure improvements consistently and with clear communication
- Strengthen Caribou's GCP infrastructure by growing IaC coverage, optimizing cloud spend, and building platform resiliency
- Collaborate with Analytics and Product to understand platform needs and translate that context into a prioritized roadmap
- Mentor and coach engineers to deepen their expertise across data modeling, platform engineering, and technical leadership
- Help shape Caribou's engineering culture, contributing a perspective that touches every part of the business
Candidates are welcome to work remotely from the states of AZ, CO, DC, IL, MD, TX, and VA with a preference for the Chicago IL, Denver CO, or Phoenix AZ areas. Caribou does provide the option to work in-office or hybrid from our Denver, CO or Chandler, AZ offices. We may consider remote candidates in CA, FL, MA, NY, OR, WA, and WI, subject to additional approval. Eligibility by state is subject to change.
Please let us know if you need accommodations at any point during the interview process.
What We Look For
- Experience leading engineers who build and mature data platforms — from raw ingestion pipelines through governed assets business teams rely on
- Fluency with the modern data stack: dbt, a cloud warehouse (BigQuery or equivalent), orchestration tooling, and sound data modeling patterns
- Cloud infrastructure fluency — IaC tooling (Terraform or equivalent), cost discipline, and the operational rigor a regulated financial environment demands
- Collaborative leaders who favor context over command and control, measuring success by the growth of those around them
- Curious, life-long learners equally at home in a data modeling discussion and a deep infrastructure review, bringing the same rigor to both.
We know strong candidates rarely check every box, and backgrounds in this space take many shapes — analytics engineers who grew into platform ownership, SREs who moved into data, DevOps practitioners who found their way to EM. If this role excites you, we'd love to hear from you.
Interview Roadmap:
- Recruiter phone interview (30 mins)
- At-home coding assessment (60 mins)
- Hiring Manager video interview (60 mins)
- Final interview loop - (4) one-hour video interviews scheduled across 1-4 business days
How we will take care of you
Everyone at Caribou is a valued team member. Our compensation and benefits package includes:
- Competitive compensation: $175k - $215k
- Eligible for annual performance based bonus
- Equity options
- 401k savings program
- Generous paid time off including: Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents.
- Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance.
- Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance.
- Up to $1,000 per year for eligible professional development expenses.
Our Core Values
We come from all walks of life and are joined together by our shared values, which guide our work and how we work together.
- Give a damn. What we’re doing matters. We show up determined to deliver results, and we love it.
- Velocity. We’re intentional about where we’re going and we race towards it.
- Make the assist. We have diverse strengths. We offer and ask for help so we all win.
The essential functions of this position require consistent attendance, availability, and active engagement throughout your full scheduled shift.
Caribou is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, marital status, military or protected veteran status, genetics, or any other characteristic protected by law. This position is not restricted solely to the responsibilities listed above, and the scope and responsibilities are subject to change. A pre-employment background check is required as a condition of employment.
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