AI Transformation Owner, Product & Design

Details

GitLab is seeking an AI Transformation Owner to shape the AI strategy for a function and build solutions that improve how the organization operates. This product-management-oriented role owns the lifecycle from understanding current workflows and identifying opportunities for AI transformation to prioritizing solutions, driving adoption, and measuring outcomes.

The role partners closely with an AI Engineer in the Enterprise AI team. The AI Transformation Owner provides business context, process intelligence, strategic prioritization, no-code and low-code solution development, and adoption leadership, while the AI Engineer provides technical depth, production delivery, and architecture expertise.

Responsibilities

Strategy and Prioritization

• Own the function's AI strategy in alignment with the Executive Sponsor and business priorities.
• Identify meaningful organizational metrics, define expected impact, and track progress over time.
• Map end-to-end workflows, including upstream and downstream handoffs across functions, and identify major constraints and high-impact opportunities.
• Manage intake for AI requests, ideas, and pain points, including requests surfaced through the Champion network.
• Prioritize work according to business outcomes and executive guidance, ensuring AI engineering capacity is focused on the highest-impact initiatives.

Adoption and Change Management

• Reimagine workflows rather than simply adding AI to existing processes.
• Drive adoption and change management with the AI Engineer by creating shared spaces, office hours, onboarding activities, feedback loops, demos, and other practices that make AI initiatives visible and sustainable.
• Coordinate with Enterprise AI to apply patterns, tools, and lessons learned across the organization.
• Build and maintain a Champion network across sub-teams. Recruit Champions, coordinate regular syncs, host demonstrations, and act as a bridge between Champions and Enterprise AI. Champions contribute 5–10% of their time with formal manager agreement and are not direct reports.

Hands-On Building and Agent Operations

• Build AI agents with no-code and low-code platforms such as Glean, Workato, and similar tools.
• Create and iterate on skills files that define agent behavior.
• Configure MCP servers and tools to provide agents with secure access to required business systems.
• Own the function's agent fleet, tracking key performance indicators, running evaluations after model or data changes, and iterating based on results.
• Replace or sunset solutions when better tools or approaches become available.

Requirements

Business and Strategic

• Deep knowledge of the function's operations, workflows, constraints, and cross-functional dependencies.
• Strong strategic prioritization skills and the ability to make decisions based on business outcomes.
• A product management mindset, including experience with intake, backlogs, iteration, adoption, and success metrics.
• Strong communication, influence, and cross-functional collaboration skills.
• Experience building peer networks or communities of practice, such as guilds, Champion programs, or volunteer communities.

Hands-On and Technical

• Comfort building with AI tools; production software engineering experience is not required.
• Ability to build a working agent, configure a skill, connect an MCP server, and troubleshoot issues.
• Experience with or willingness to quickly learn no-code and low-code AI platforms, prompt engineering, and agent configuration.
• Strong conceptual understanding of AI capabilities, including summarization, classification, generation, automation, and agentic workflows.
• Ability to map structured and unstructured data flows and determine where agents need context and where humans should interact with automated workflows.
• Willingness to continuously learn as AI tools and models evolve.

Team

The role partners with Enterprise AI within GitLab's Enterprise Technology & AI organization while remaining embedded in its own function. Enterprise AI provides technical delivery capabilities, platforms, and patterns; the AI Transformation Owner provides business context, prioritization, no-code solution building, and adoption leadership.

Salary

The United States base salary range is $203,200–$345,600 USD. This range applies to United States residents and excludes bonuses, equity, and benefits. Grade level and salary depend on factors including education, experience, knowledge, skills, abilities, internal equity, market data, and geographic location.

Benefits

• Health, financial, and well-being benefits
• Flexible paid time off
• Team Member Resource Groups
• Equity compensation and Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave

All GitLab roles are remote, although some roles may have location-based eligibility requirements. GitLab is an equal opportunity workplace and provides reasonable accommodations during the recruiting process.