AI Transformation Owner, Product & Design

GitLab

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CanadaUnited Kingdom
Salary
$203,200–$345,600 / yr
Posted
47 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $274k
$138k most similar roles pay here $368k

This role pays more than 89% of similar roles. Most pay $173,525–$244,625 — the shaded band above. At the midpoint, this role pays about $274k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About GitLab

GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.

GitLab currently has 53 open roles on FindRole.

Listed pay typically runs $152,800–$235,400 across 46 roles with salary data.

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View all roles at GitLab

At a glance

TL;DR · AI Transformation Owner, Product & Design

As an AI Transformation Owner, Product & Design, you will shape your function's AI strategy and build solutions to redefine internal workflows. Working within the Enterprise Technology & AI organization while remaining embedded in your specific functional team, you will act as a product manager for organizational processes. Your daily responsibilities include mapping end-to-end work flows, managing intake of AI requests, prioritizing high-impact projects, and driving adoption through a dedicated Champion network. You will build and manage a fleet of AI agents using no-code and low-code platforms like Glean or Workato, authoring skills files, and configuring MCP servers to connect business systems. The role requires expertise in prompt engineering, agent configuration, and data flow mapping. You will solve the challenge of integrating AI into complex operations to achieve significant gains in speed and volume.

What you'll do

  • Develop and own the AI strategy for your specific function in alignment with business priorities and executive goals.
  • Map end-to-end workflows to identify high-impact opportunities where AI can significantly increase speed or volume.
  • Manage the intake of AI requests and prioritize projects based on measurable business outcomes.
  • Build and configure AI agents using no-code and low-code platforms to create functional prototypes.
  • Author and iterate on skills files to define agent behavior and share reusable capabilities across the organization.
  • Drive adoption and change management by creating feedback loops, training sessions, and internal communication channels.
  • Build and lead a "Champion" network of peers to expand AI reach and knowledge sharing across sub-teams.
  • Manage the lifecycle of AI tools by monitoring performance, running evaluations, and retiring outdated solutions.

What we're looking for

  • Deep knowledge of your specific function's operations and end-to-end workflows.
  • Strategic prioritization skills to manage competing demands based on business outcomes.
  • A product management mindset including experience with intake, backlogs, and adoption metrics.
  • Strong communication and influence skills to lead change management and advocate for AI initiatives.
  • Experience building peer networks or communities of practice to engage volunteer contributors.
  • Ability to build AI agents using no-code and low-code platforms.
  • Proficiency in prompt engineering and configuring MCP servers and tools.
  • Strong conceptual understanding of AI capabilities including summarization, classification, and agentic workflows.

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