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marketing

Posted 1 weeks ago

AI Transformation Owner, Marketing

at GitLab

CanadaRemote
Recruiting

Responsibilities

  • Own your function's AI strategy, aligned with your Executive Sponsor and business priorities.
  • Map how work flows across your function end-to-end, including the handoffs upstream and downstream to other orgs.
  • Identify where the real constraints are, not just the ones your team can see.
  • Manage intake of AI requests, ideas, and pain points from across the function, including via your Champion network.
  • Ensure every team member has a clear route to surface what they need, rather than building independently.
  • Drive adoption and change management together with the AI Engineer.
  • Create the channels, rituals, and feedback loops that make AI visible in your function: shared spaces for teams to show what they've built, regular office hours, onboarding for new hires, and celebration of wins.
  • Own the rollout and iteration needed to make AI initiatives stick.
  • Coordinate with Enterprise AI to ensure your function
  • Build and bridge the Champion network in your function.
  • Build AI agents using no-code and low-code platforms (e.g. Glean, Workato, similar tools). Go from idea to working prototype without waiting for engineering.
  • Author and iterate on skills files that define how AI agents behave. Refine instructions based on real usage and share reusable skills across the function.
  • Own your function's fleet of agents.

Requirements

  • GitLab is the intelligent orchestration platform for DevSecOps.
  • The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.
  • As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it.
  • You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them.
  • You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritising what gets built and in what order, and ensuring what ships actually gets adopted.
  • You will work closely with an AI Engineer who sits within the Enterprise AI team.
  • You'll build working solutions at the no-code and low-code layer, and partner with the AI Engineer on the right approach, tooling, and structure.
  • Focus on the 100x problems: where could leveraging AI in a workflow let your org execute it orders of magnitude faster, or at 100x more volume than before?
  • Hold the line on priorities - we cannot change direction every two weeks - and ensure the AI Engineer's time is spent on the highest-impact work.
  • Reimagine, not just automate. Challenge your org to think beyond injecting AI into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done.
  • The best AI solution is worthless if nobody uses it.
  • Champions are the peer community that extends your reach beyond what you and the AI Engineer can deliver directly.
  • From early in the role, identify and recruit Champions across sub-teams (5-10% time, formally agreed with their manager), run a regular Champion sync, host demos to the wider function, and act as their bridge to Enterprise AI.
  • Configure MCP servers and tools, giving agents access to the business systems they need. Partner with the AI Engineer on what to connect and how to do it securely.
  • AI tools and models evolve fast.
  • Deep knowledge of your function's operations.
  • Cross-functional instincts. You default to understanding how your org's processes affect and are affected by the teams around you - not just optimising in isolation. •
  • Experience building peer networks or communities of practice.
  • You know how to motivate people whose time you don't directly own.
  • Comfortable building with AI tools.
  • You don't need to write production code, but you should be able to build a working agent, configure a skill, connect an MCP server, and troubleshoot when something isn't working.
  • Experience with or willingness to quickly pick up no-code/low-code AI platforms, prompt engineering, and agent configuration.
  • You'll be trained on GitLab's specific tooling, but you should arrive ready to get your hands dirty.
  • Strong conceptual understanding of AI capabilities - summarisation, classification, generation, automation, agentic workflows - and a commitment to staying current.
  • You stay on top of new developments so that your org's AI strategy reflects what's actually possible, not what was possible six months ago.
  • Ability to map data flows - structured and unstructured. Understand where agents need context, and figure out where humans should interface with automated workflows and at what steps. About the team
  • You will partner closely with Enterprise AI within the Enterprise Technology & AI organisation, while remaining embedded in your own function.
  • Enterprise AI provides the technical delivery capability, platforms, and patterns.
  • Together, you form the core of your function's AI transformation.
  • Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification.
  • If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Benefits

  • The base salary range for this role’s listed level is currently for residents of the United States only.
  • This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits.
  • benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
  • United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees •
  • Flexible Paid Time Off
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental Leave

Additional details

  • More than 50 million registered users and more than 50% of the Fortune 100
  • trust GitLab to ship better, more secure software faster.
  • GitLab is where careers accelerate, innovation flourishes, and every voice is valued.
  • Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
  • Co-create the future with us as we build technology that transforms how the world develops software.
  • Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license.
  • Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025.
  • Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
  • Think of this as a product management role where the product is your org's way of working.
  • You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it.

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