GitLab

GitLab

AI Transformation Owner, Product & Design

US , APAC , CA +2 moreRemotePosted Today$203,200 – $345,600
Full TimeSeniorRemoteUS

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Job Description

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, an

Key Highlights

  • Own your function’s AI strategy, aligned with your Executive Sponsor and business priorities. Understand which metrics matter to the org, identify what will move the needle, define how you’ll measure impact, and track progress over time.
  • Manage intake of AI requests, ideas, and pain points from across the function, including via your Champion network. Ensure every team member has a clear route to surface what they need, rather than building independently.
  • Prioritize strategically against business outcomes and executive guidance. Hold the line on priorities – we cannot change direction every two weeks – and ensure the AI Engineer’s time is spent on the highest-impact work.
  • Reimagine, not just automate. Challenge your org to think beyond injecting AI into existing workflows. Work with Enterprise AI to spot opportunities to fundamentally rethink how work gets done.
  • Coordinate with Enterprise AI to ensure your function benefits from patterns, tools, and learnings emerging across other parts of the business.

Qualifications

Required Qualifications

  • Comfortable building with AI tools. You don’t need to write production code, but you should be able to build a working agent, configure a skill, connect an MCP server, and troubleshoot when something isn’t working. Think: power user, not software engineer.
  • Ready to learn fast. Experience with or willingness to quickly pick up no-code/low-code AI platforms, prompt engineering, and agent configuration. You’ll be trained on GitLab’s specific tooling, but you should arrive ready to get your hands dirty.
  • Strong conceptual understanding of AI capabilities – summarization, classification, generation, automation, agentic workflows – and a commitment to staying current. The landscape shifts constantly. The tools you use today may be obsolete in weeks. You stay on top of new developments so that your org’s AI strategy reflects what’s actually possible, not what was possible six months ago.
  • Ability to map data flows – structured and unstructured. Understand where agents need context, and figure out where humans should interface with automated workflows and at what steps.

Skills & Technologies

Go

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Job Details

Employment Type

Full Time

Experience Level

Senior

Salary Range

$203,200 – $345,600

Location

US , APAC , CA +2 more

Work Mode

Remote

Posted

Today

Country

US