Sr. Product Manager, Enterprise

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 Role:

As a Product Manager at dbt Labs, you will work cross-functionally to help guide products from ideation to launch by connecting the technical needs of users and the business needs of our company. Product managers help define the vision, goals, and strategy we pursue in concert with engineers, designers, sales, and partners that move the practice of analytics engineering forward.

In this role, you will define and deliver solutions to help scale and increase the adoption of dbt Cloud in the largest organizations by helping build a platform and end to end experiences that enable security, compliance, and governance outcomes for our customers. Enterprise Team is responsible for critical OKRs to help increase dbt Cloud’s adoption and growth in the largest and most complex organizations. Enterprise team owns platform and experience components spanning Identity, Credentials, Logging, Onboarding, and Encryption. 

In this role, you can expect to:

• Define the vision, goals, strategy, and roadmap for Enterprise Team product initiatives
• Study, research, and understand the analytics engineering ecosystem, with specific focus on user requirements, market potential, and competitive landscape.
• Execute cross-functionally, in a collaborative manner, to launch new products, improve existing features, test effectiveness of workflows, and facilitate GTM motions.
• Inspire teams of people to achieve great things together, while also tying the roadmap within a domain to broader product strategy goals and company goals.
• Create tight feedback loops with our customers who manage dbt Cloud Administration, ensuring that the product evolves toward the needs of these stakeholders

You are a good fit if you have:

• 3+ years of experience in product management or related function (eg. engineering, analytics, SaaS, open source)
• Previous experience working on products for the Security or IT Admin persona
• Worked asynchronously as part of a fully-remote, distributed team
• Deeply quantitative and enjoy rolling up your sleeves and exploring the data and connecting it to strategic initiatives
• Experience in the data space, using or building data tools
• Excellent written and verbal communicator
• Experience driving adoption of SaaS tools at Large Enterprise Organizations

You'll have an edge if you have:

• Previous experience working with modern data warehouses (Snowflake, BigQuery, Redshift, Spark, Presto, etc)
• Experience with security and identity tools like Okta, Azure AD, Hashicorp Vault, etc
• Previous experience working with dbt for analytics engineering
• Strong experience driving growth through a series of targeted changes with demonstrable quantitative impact
• Comfortable discussing, explaining and reasoning about dbt project development best practices

Compensation & Benefits

• Salary: $180,000-$244,000
• Equity Stake
• 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! 

What to expect in the hiring process (all video interviews via Zoom unless accommodations are needed):

• Interview with a Talent Acquisition Partner 
• Interview with Hiring Manager
• Take Home Task
• Team Interviews (1:1s) that cover the following:
• Leadership in Execution
• Product Vision
• Collaboration/Partnerships
• Domain Experience

#LI_RC1

Who we are

At 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