At a Glance
- Tasks: Lead AI strategy and build innovative solutions to transform workflows.
- Company: Join GitLab, a leading platform in DevSecOps with a focus on AI.
- Benefits: Enjoy remote work flexibility, competitive salary, and professional growth opportunities.
- Other info: Be part of a dynamic team that values innovation and continuous learning.
- Why this job: Shape the future of AI in a collaborative environment and make a real impact.
- Qualifications: Experience in product management and strong communication skills are essential.
The predicted salary is between 135000 - 165000 $ per year.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.
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. 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.
An overview of this role:
As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are responsible for identifying where AI can fundamentally change how your organization operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them.
Think of this as a product management role where the product is your organization's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, prioritizing what gets built and in what order, and ensuring what ships actually gets adopted. You'll also prototype solutions, configure agents, and prove what's possible before pulling in engineering support to scale it.
You will work closely with an AI Engineer who sits within the Enterprise AI team. Together you form a partnership: you bring the business context, process intelligence, and strategic prioritization. They bring the technical depth, production-grade delivery, and architecture decisions. 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.
What you'll do:
- Own your function's AI strategy, aligned with your Executive Sponsor and business priorities.
- Understand which metrics matter to the organization, identify what will move the needle, define how you'll measure impact, and track progress over time.
- Map how work flows across your function end-to-end, including the handoffs upstream and downstream to other organizations.
- 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.
- Prioritize strategically against business outcomes and executive guidance.
- Drive adoption and change management together with the AI Engineer.
- Coordinate with Enterprise AI to ensure your function benefits from patterns, tools, and learnings emerging across other parts of the business.
- Build and bridge the Champion network in your function.
- Build AI agents using no-code and low-code platforms.
- Own your function's fleet of agents.
- Expect to rebuild as AI tools and models evolve fast.
What you'll bring:
- Deep knowledge of your function's operations.
- Strategic prioritization skills.
- A product management mindset.
- Strong communication and influence.
- Cross-functional instincts.
- Experience building peer networks or communities of practice.
- Comfortable building with AI tools.
- Ready to learn fast.
- Strong conceptual understanding of AI capabilities.
- Ability to map data flows - structured and unstructured.
You will partner closely with Enterprise AI within the Enterprise Technology & AI organization, while remaining embedded in your own function. Enterprise AI provides the technical delivery capability, platforms, and patterns. You provide the business context, prioritization, building at the no-code layer, and adoption muscle. Together, you form the core of your function's AI transformation.
AI Transformation Owner, Product & Design in Winnipeg employer: GitLab
At GitLab, we pride ourselves on being an exceptional employer that champions innovation and collaboration within a fully remote environment. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, making it an ideal place for those looking to make a meaningful impact in the realm of AI-driven people systems.