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.

Join our dynamic and growing organization as the Senior Project Manager, where you’ll have the opportunity to drive impactful projects and shape the future of our data-driven initiatives. In this critical role, you’ll work closely with our leadership to prioritize and execute projects that support our strategic goals.

As a key member of our team, you’ll have the chance to establish and lead a best-in-class project management function, fostering a culture of collaboration, innovation, and continuous improvement. If you’re a seasoned project management professional with a passion for driving results and developing high-performing teams, this is the perfect opportunity to make your mark in a fast-paced and supportive environment.

In this role, you can expect to:

  • Establish and lead a standardized project management framework and methodology across the organization
  • Serve as a project leader, program manager, and portfolio manager, ensuring successful project delivery
  • Collaborate across verticals to align project priorities and drive organizational success
  • Foster a culture of continuous improvement and innovation in project management practices
  • Mentor and guide team members to enhance their project management skills and capabilities

You are a good fit if you have:

  • Worked asynchronously as part of a fully-remote, distributed team
  • Strong leadership skills and the ability to influence and collaborate with senior-level stakeholders
  • Excellent communication and interpersonal skills, with the ability to effectively communicate with technical and non-technical audiences
  • Experience in establishing and implementing project management best practices and methodologies

Qualifications:

  • 8+ years of experience in project management, with a proven track record of leading complex projects and programs
  • Proven experience in managing projects within the data and analytics domain
  • Experience using data and metrics to determine and drive improvements
  • Excellent verbal and written communication skills
  • Ability to work independently and collaboratively in a fast-paced environment
  • Proficiency in project management tools and software

You’ll have an edge if you have:

  • Master’s degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
  • Experience in managing projects related to AI and machine learning
  • Knowledge of financial management and budgeting for projects

 

Compensation & Benefits

  • Salary: $180,000 – $220,000 USD
  • Equity Stake
  • Benefits: In the US, dbt Labs offers unlimited vacation (and yes we use it!), 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend and a home office stipend. For employees outside the United States, dbt Labs offers a competitive benefits package
  • 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

 

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 open source software
  • Analytic code itself — not just analytics tools — will increasingly be open source
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