AI Transformation Owner - Gitlab - Remote - United States

The AI Transformation Owner drives the end-to-end AI agenda for the field organization, translating emerging AI capabilities into concrete enablement roadmaps, field use cases, and org-level strategy. You will partner closely with product and engineering teams to pilot and scale AI solutions, own the operational transformation plan needed to embed AI into day-to-day field workflows, and establish the governance framework that keeps AI adoption safe, compliant, and aligned with company standards. This is a hands-on role for someone who can move from strategy to execution without heavy oversight. This role reports to the Vice President, Enablement & AI. What You’ll Do - AI Enablement Roadmap: Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy. - AI Field Use Cases: Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact. - AI Field Champions: build relationships with champions in the field organization to activate power-usage and drive peer-led adoption; track this adoption (e.g., usage, proficiency, behavior change) with our AI Ops Specialist and Enablement Analyst. - Ops Transformation Plan: Design and drive the operational plan that turns AI pilots into scaled, repeatable processes, coordinating across enablement, ops, and technical teams to remove execution bottlenecks. - AI Governance: Influence and lead governance standards for AI tool adoption in the field, including data usage, risk review, tool vetting, and alignment with company-wide AI policy. What You’ll Bring - Mid-Senior Experience: Several years of experience in enablement, sales operations, or a related GTM function, with a track record of owning initiatives end-to-end. - AI Solutions Experience: Direct experience evaluating, piloting, or deploying AI tools or solutions in a business context, with a solid technical understanding of how they work and where they add value. Act as the field's primary advocate for AI tools (e.g., AI-assisted prospecting, call intelligence, forecasting copilots, RFP/proposal generation). - Cross-Functional Fluency: Proven ability to work closely with product and engineering teams, translating field needs into technical requirements and vice versa. - Self-Sufficiency: Comfortable operating with significant autonomy — able to define scope, structure ambiguous problems, and drive work forward without needing detailed direction. - Organization & Execution: Strong project management instincts; able to manage multiple workstreams (roadmap, use cases, ops transformation, governance) in parallel without dropping details. - Innovative Mindset: A builder's orientation toward new technology — curious about what's possible, willing to experiment, and able to separate genuine opportunity from hype. - Enablement/Sales Background: Familiarity with field or sales enablement motions (onboarding, tool adoption, content, coaching) and how AI can realistically augment them. - GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook.