TL;DR

Senior Product Marketing Manager (AI/Data): Shaping market perception and driving product adoption for a leading analytics engineering platform with an accent on AI workflows and enterprise data use cases. Focus on developing strategic go-to-market narratives, crafting differentiated positioning, and collaborating cross-functionally to influence product strategy and growth.

Location: Must be based in the United States (Remote)

Salary: $150,000 - $200,000 USD

Company

dbt Labs is the pioneer of analytics engineering, providing the industry-standard data control plane used by over 90,000 teams to transform data and support AI initiatives.

What you will do

  • Drive go-to-market strategy for features positioning the platform for AI workflows and enterprise data challenges.
  • Craft clear, differentiated product positioning and messaging grounded in market and customer insights.
  • Collaborate with Product and Engineering teams to influence the product roadmap using competitive and market context.
  • Develop and maintain a core bill of materials including sales playbooks, pitch decks, and solution briefs.
  • Execute product launches and marketing campaigns that drive pipeline growth for net-new and expansion opportunities.
  • Measure campaign effectiveness and utilize data-driven insights to iterate on marketing strategies.

Requirements

  • 4+ years of experience in product marketing, preferably within the data analytics domain.
  • Proven track record of executing successful B2B software marketing campaigns.
  • Deep understanding of the data analytics industry and ability to translate complex concepts into clear narratives.
  • Strong cross-functional leadership skills with experience working across marketing, product, and sales teams.
  • Analytical mindset with the ability to use data to inform strategic decision-making.
  • Excellent verbal and written communication skills with a passion for storytelling.

Nice to have

  • Prior experience at a data analytics, AI, or open source software company.
  • Familiarity with the modern analytics stack.
  • Experience as a practitioner (data analyst, data engineer, or data scientist) using the platform.

Culture & Benefits

  • Unlimited vacation policy.
  • 401k and Pension Plan offerings.
  • 16 weeks of Paid Parental Leave.
  • Wellness and home office stipends.
  • Inclusive, values-driven environment with a focus on diversity and professional growth.

Hiring process

  • Talent Acquisition interview followed by a Hiring Manager interview.
  • Team-specific interviews.
  • Final round values-based assessment.