Engineering Manager, Agent Foundations – Agent Execution

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $152.8k - $172.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 0%

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering • Hire, onboard, coach, and develop engineers at every level • Partner with product and UX to turn ambiguous problems into shipped milestones and make prioritization tradeoffs explicit • Contribute to technical design for running agents safely and effectively at scale • Establish 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 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 • 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 • Commitment to coaching and developing engineers in a positive, inclusive team environment • Experience building and deploying AI products; experience with sandboxing, container isolation, infrastructure security, observability systems, or reliability engineering; or use of Python, Ruby, Go, or TypeScript is helpful

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave