Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 5
Compliance
Go @ 3
Observability @ 3
Python @ 3
Ruby @ 3
Security @ 3
TypeScript @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
The company embraces AI as a core productivity multiplier, with team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.
Responsibilities
- 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.
Requirements
- 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.
About the Team
The Agent Tools, Agent Observability, and Runner Execution teams build the product and infrastructure that enable GitLab to run agents across the software development lifecycle. Their work includes GitLab's Model Context Protocol (MCP) server, configurable network access, agent sandboxing, and transparent agent interactions across GitLab. The teams are distributed across three continents and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features.
A Senior Engineering Manager currently leads the group on an interim basis and will support onboarding and remain a close partner afterward.
Salary
The United States base salary range for this role is $152,800–$172,800 USD. The range does not include bonuses, equity, or benefits. Grade level and salary ranges are determined through interviews and review of education, experience, knowledge, skills, abilities, equity with other team members, market data, and geographic location.
Benefits
- Benefits to support health, finances, and well-being
- Flexible paid time off
- Team Member Resource Groups
- Equity compensation and Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
GitLab roles are remote, although some roles may carry specific location-based eligibility requirements. GitLab is an equal opportunity workplace and provides reasonable accommodation during the recruiting process.