工程经理，Agent Foundations：Agent Execution

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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. Co-create the future with us as we build technology that transforms how the world develops software.

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An overview of this role

As Engineering Manager for the Agent Execution group , you'll lead more than 10 engineers who build foundations for AI agents to run safely and effectively across GitLab. You'll give the group clarity, remove obstacles, and help teams move quickly while protecting what matters. You'll contribute to design reviews on sandboxing and agent observability, work alongside staff engineers, and use modern AI coding tools and agent harnesses in your work.

• Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering, with each team anchored by a staff engineer.

• Grow the group by hiring, onboarding, coaching, and developing engineers at every level.

• Partner with product and UX to turn ambiguous problems into shipped milestones and make prioritization tradeoffs explicit.

• Contribute substantively to technical design for running agents safely and effectively at scale.

• Establish practical standards for the group's use of AI tools, including tool selection and configuration.

• Coach engineers through ambiguity in a fast-changing technical space.

• Represent the group across GitLab's AI organization and with the teams that depend on the GitLab Duo Agent Platform.

What you’ll bring

• Experience managing distributed engineering teams and working through technical leads and staff-level engineers.

• Technical judgment developed through hands-on engineering experience and fluency with modern AI coding tools and agent harnesses.

• Ability to guide teams in applying AI to software engineering workflows and technical decision-making.

• Experience delivering results in fast-paced environments with ambiguous requirements.

• A commitment to coaching and developing engineers in a positive, inclusive team environment.

• Experience building and deploying AI products; working with sandboxing, container isolation, infrastructure security, observability systems, or reliability engineering; or using Python, Ruby, Go, or TypeScript is helpful.

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental Leave

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

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