# AI Transformation Owner, Product & Design

**Company:** [GitLab](https://hotfix.jobs/companies/gitlab)
**Location:** Remote
**Role:** Product Operations
**Salary:** $203k – $346k/yr
**Skills:** Artificial Intelligence, AI Agents, Glean, Workato, Mcp Servers, Prompt Engineering, No-Code Platforms, Low-Code Platforms, Agent Configuration, AI Workflows, Summarization, Classification, Generative AI, Automation, Product Management
**Posted:** 2026-08-19

> Own the AI transformation strategy for the Product & Design function by identifying high-impact workflow opportunities, prioritizing initiatives, driving adoption, and managing measurable outcomes. Build and operate AI agents with no-code and low-code tools while coordinating Champions and Enterprise AI partners.

## Job Description

## Responsibilities
### Strategy & Prioritization
- Own the function's AI strategy in alignment with the Executive Sponsor and business priorities.
- Map end-to-end workflows, identify constraints, and prioritize high-impact AI opportunities.
- Define success metrics, track outcomes, and manage intake of AI requests and pain points.
- Prioritize work against business outcomes and executive guidance.

### Adoption & Change Management
- Reimagine workflows with Enterprise AI and drive adoption of AI solutions.
- Create feedback loops, office hours, onboarding, demos, and shared spaces to make AI visible and useful.
- Coordinate with Enterprise AI on cross-functional patterns, tools, and learnings.
- Recruit and coordinate a Champion network across sub-teams, including regular syncs and demos.

### Hands-On Building & Agent Operations
- Build AI agents with no-code and low-code platforms such as Glean and Workato.
- Author and iterate on skills files that define agent behavior.
- Configure MCP servers and tools, partnering with AI Engineers on secure integrations.
- Own the function's agent fleet, track KPIs, run evaluations, and iterate based on usage and model or data changes.
- Replace or sunset agents when better approaches emerge.

## Requirements
### Business & Strategic
- Deep knowledge of the function's operations and end-to-end processes.
- Strategic prioritization skills and a focus on measurable business outcomes.
- Product management mindset, including intake, backlog management, iteration, and adoption.
- Strong communication, influence, and cross-functional collaboration skills.
- Experience building peer networks or communities of practice, such as guilds, champion programs, or communities.

### Hands-On & Technical
- Comfort building with AI tools, including working agents, skills, MCP server connections, and troubleshooting.
- Ability or willingness to learn no-code/low-code AI platforms, prompt engineering, and agent configuration.
- Conceptual understanding of AI capabilities including summarization, classification, generation, automation, and agentic workflows.
- Commitment to staying current with rapidly changing AI tools and models.

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