Analytics Engineer Manager (MST or PST)
US - Distributed
dbt Labs
Use dbt to build reliable data models quickly and collaboratively—featuring version control, automated documentation, and integrated testing.
dbt Labs is a remote-first company with a globally distributed team. This role is open to folks based anywhere in the United States.
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 accommodation due to disability.
About Usdbt Labs was founded in 2016 to empower analysts to create and disseminate organizational knowledge. Since then, we’ve grown to become one of the most respected brands in the analytics industry. Our product, dbt, is used by thousands of companies.
Who we areAt dbt Labs, we have developed strong opinions on how companies should practice analytics.
Specifically, we believe that:
- Code, not graphical user interfaces, is the best abstraction to express complex analytic logic- 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 9,000 companies using dbt every week, 25,000 practitioners in the dbt Community Slack, and 1,800 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. We recently raised our series D: read the announcement here!
We’re looking for an experienced Analytics Engineering Manager located in the MST or PST timezones to join our Professional Services team. The Pro Serv team helps startups set up their initial analytics infrastructure and Fortune 1000 companies migrate to modern analytics tools. We train companies new to dbt best practices so they can immediately be successful. The work is challenging, to say the least. In return, you’ll be able to work with one of the most talented data teams in the country and with some of the most exciting companies in the world. Sound like something you’re interested in? We’d love to hear from you.
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 accommodation due to disability.
About Usdbt Labs was founded in 2016 to empower analysts to create and disseminate organizational knowledge. Since then, we’ve grown to become one of the most respected brands in the analytics industry. Our product, dbt, is used by thousands of companies.
Who we areAt dbt Labs, we have developed strong opinions on how companies should practice analytics.
Specifically, we believe that:
- Code, not graphical user interfaces, is the best abstraction to express complex analytic logic- 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 9,000 companies using dbt every week, 25,000 practitioners in the dbt Community Slack, and 1,800 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. We recently raised our series D: read the announcement here!
We’re looking for an experienced Analytics Engineering Manager located in the MST or PST timezones to join our Professional Services team. The Pro Serv team helps startups set up their initial analytics infrastructure and Fortune 1000 companies migrate to modern analytics tools. We train companies new to dbt best practices so they can immediately be successful. The work is challenging, to say the least. In return, you’ll be able to work with one of the most talented data teams in the country and with some of the most exciting companies in the world. Sound like something you’re interested in? We’d love to hear from you.
In this role, you can expect to...
- Report directly to the Head of Professional Services
- Manage a growing team of 4 Analytics Engineers
- Build a collaborative environment where analytics engineers on your team can thrive, learn, and grow their skillsPlan and lead initiatives to help scale the team
- Serve as a technical SME for both internal and external projects
- Lead customer projects, maintain deliverables, and manage timelines
- Hire, ramp, and manage professional service development and performance
- Elevate customer stories and dbt use cases to the broader organization and product team
You are a good fit if you...
- Have worked with dbt for 1+ year(s)!
- Have 4+ years experience as a data analyst, data engineer, or analytics engineer at an ecommerce or SaaS company
- Have people management experience
- Have a solid technical background, with experience in cloud warehouses, BI tools, and data modeling
- Are proficient in writing analytical SQL and understand the difference between SQL that works, and performant SQL. Most importantly, you can coach folks to become proficient in this area
- Can communicate clearly and directly about complex technical topics
- Are passionate about building the best version of whatever you’re working on
- Are highly motivated to work autonomously, with strong organizational and time management skills
- Salary: $135-$175k
- Equity stake
- Benefits: Unlimited vacation, 401k w/ 3% guaranteed contribution, health/vision/dental insurance, wifi/cellphone reimbursement, and paid parental leave
- An introductory call with a recruiter
- A video interview with our Head of Professional Services
- After that we’ll ask you to complete a project that will take about 1-2 hours. The basic gist of this task will be to set up a dbt Cloud account/dbt project and refactor a query we provide you using dbt.
- Interviews with your potential direct reports reviewing the task
- A panel interview including Head of Professional Services and Director of Customer Success
- A final interview with the CEO
Compensation & Benefits
What to expect in the hiring process
Tags: E-commerce Engineering Open Source SQL
Perks/benefits: 401(k) matching Career development Equity Flex vacation Health care Insurance Parental leave Unlimited paid time off
Regions:
Remote/Anywhere
North America
Country:
United States
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