Director of Pricing

GitLab GitLab · Enterprise · Canada +1 · Remote · Platforms

Director of Pricing at GitLab, focusing on defining and executing pricing strategies for their AI-powered DevSecOps platform. This role involves transitioning from traditional seat-based models to AI and usage-based monetization, shaping product packaging, commercial performance, and long-term growth. Responsibilities include defining the pricing roadmap, leading a global pricing organization, partnering with cross-functional teams, and conducting pricing research.

What you'd actually do

  1. Define and lead GitLab's pricing strategy, including the roadmap for packaging, edition architecture, and monetization across core and emerging offers.
  2. Guide the transition across seat-based, usage-based, and hybrid pricing models, with particular focus on AI-related monetization opportunities.
  3. Build and lead a high-performing global pricing organization, including setting the operating model, developing managers and individual contributors, and raising the quality bar for pricing work.
  4. Partner with leaders across product, engineering, finance, sales, marketing, and operations to evaluate trade-offs between growth, adoption, margin, and customer value.
  5. Own pricing models, scenario planning, forecasts, and business cases that connect pricing decisions to measurable outcomes such as average selling price, average revenue per user, and monetization performance.

Skills

Required

  • Significant experience in pricing, including leadership of multi-disciplinary teams and ownership of complex monetization decisions in a B2B software environment.
  • Deep expertise in SaaS pricing models, including seat-based, usage-based, and hybrid approaches, with strong judgment on when each model fits.
  • Demonstrated success shaping portfolio-level pricing across multiple products, offers, or deployment models.
  • Strong analytical skills with the ability to build robust models, test assumptions, evaluate scenarios, and communicate implications with confidence.
  • Fluency in pricing research methods, including conjoint analysis, Van Westendorp, customer interviews, and experimentation, and the ability to apply the right method to the right question.
  • Experience working through ambiguity and creating structure, process, and momentum in areas that are still evolving.
  • Proven ability to influence senior stakeholders and work effectively across a distributed, asynchronous organization.

Nice to have

  • Familiarity with pricing for AI-related products or consumption-based offerings, as well as experience across SaaS, self-managed, or single-tenant environments, is a strong advantage.

What the JD emphasized

  • AI monetization
  • usage-based monetization
  • AI-related monetization opportunities