Senior Manager, Product Management: Agentic Software Delivery

GitLab GitLab · Enterprise · Canada +1 · Remote · Core DevOps

Senior Manager, Product Management for Agentic Software Delivery at GitLab. This role leads a team of product managers focused on evolving CI, Artifact Management, Continuous Deployment, and Observability as AI agents handle more execution work in software development. The focus is on enabling customers to move towards agent-driven workflows safely and efficiently, managing the product vision for this transition.

What you'd actually do

  1. Lead a team of senior and principal product managers across Continuous Integration, Artifact Management, Continuous Deployment, and Observability, providing strategic direction, coaching, and support.
  2. Define the product strategy and long-term vision for GitLab's Agentic Software Delivery portfolio, with a clear point of view on how AI is changing software delivery workflows.
  3. Connect portfolio decisions across build, package, deploy, and monitor experiences so the customer journey is coherent across the platform.
  4. Collaborate with engineering leadership on platform investments, architectural direction, and trade-offs across the portfolio.
  5. Drive pricing, packaging, and go-to-market alignment with product marketing, sales, pricing, customer success, and solutions engineering to support commercial growth across the portfolio.

Skills

Required

  • Experience leading product managers in a people leadership role, including setting direction, mentoring senior talent, and maintaining a high bar for product management.
  • Hands-on product management experience in one or more relevant domains such as CI/CD pipelines, artifact or package management, release management, or observability.
  • Ability to own a broad portfolio across multiple product areas and align teams around a shared product vision and execution model.
  • Technical fluency to work credibly with engineers and architects on topics such as pipeline design, artifact workflows, deployment strategies, and observability signals like logs, metrics, and traces.
  • Experience working with technical customers in developer tools, DevOps, or software delivery environments where engineers and engineering leaders are primary users.
  • Comfort with pricing and packaging decisions for technical products, including working across free, commercial, and enterprise offerings.
  • Strong communication and influence skills, with the ability to align executives, cross-functional partners, and customers around a clear strategy.
  • Practical use of AI tools in product management workflows, along with a thoughtful view on how AI and agentic workflows are changing software delivery.

Nice to have

  • AI tools for discovery, synthesis, prototyping, roadmap exploration, and product concept development

What the JD emphasized

  • AI agents take on more of the execution work
  • how much of that judgment the system can make on its own, safely
  • how quickly a production signal turns into a fix without waiting on a human to notice it first
  • Practical use of AI tools in product management workflows
  • thoughtful view on how AI and agentic workflows are changing software delivery

Other signals

  • AI agents taking on execution work
  • customer journey shifts from manual checkpoints to agent-driven ones
  • AI-native product management