[Remote] Staff AI Engineer, AI Engineering at GitLab

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SoftwareIndustries

Requirements

7+ years in software engineering, with recent focus on AI/ML solutions, automation, or platform engineering
Technical Depth: Strong expertise in designing, developing, and deploying AI-powered solutions

Responsibilities

Own End-to-End Delivery: Take full ownership of AI initiatives from stakeholder engagement and functional requirements through architecture, development, and deployment. Drive projects to completion with speed and quality
Build & Ship Fast: Design, develop, and deploy AI-powered solutions that drive measurable business outcomes—with a bias toward rapid iteration and tangible ROI. Initial focus areas include Sales enablement, Marketing automation, and Customer Support optimization
Platform Integration: Build on top of modern AI platforms and frameworks (including GitLab Duo Agent Platform), integrating AI capabilities into existing business systems via APIs and integration layers
Be Customer Zero: Leverage and showcase GitLab's AI offerings wherever possible
Stakeholder Partnership: Taking a consultative approach, work closely with business stakeholders across multiple functions to understand friction points, requirements, and opportunities for AI impact
Measure Value: Own measurable outcomes tied to business KPIs. Define success metrics, track adoption, and demonstrate ROI that impacts both top and bottom line
Shape Technical Direction: Contribute to technology selection, architectural decisions, and the long-term technical roadmap. Evaluate new platforms and bring recommendations forward
Technical Leadership: Set technical standards, document solutions, and create reusable frameworks. As the team grows, provide mentorship and technical guidance to junior engineers
Stay Ahead: Remain current with AI innovations, evaluate new technologies and platforms, and bring recommendations for consideration

Skills

Key technologies and capabilities for this role

AI EngineeringMachine LearningDevSecOpsPythonSoftware DevelopmentDeploymentAI IntegrationSDLC

Questions & Answers

Common questions about this position

What is the salary or compensation for the Staff AI Engineer role?

This information is not specified in the job description.

Is this Staff AI Engineer position remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Staff AI Engineer role?

The role requires deep technical expertise in designing, developing, and deploying AI-powered solutions, experience with modern AI platforms and frameworks including GitLab Duo Agent Platform, and skills in platform integration via APIs. Hands-on technical leadership, business acumen, and the ability to own end-to-end delivery from requirements to deployment are essential.

What is the company culture like at GitLab for this role?

GitLab has a high-performance culture driven by values and continuous knowledge exchange, where all team members embrace AI as a core productivity multiplier in daily workflows. Innovation flourishes, every voice is valued, and team members collaborate with industry leaders to solve complex problems.

What makes a strong candidate for the Staff AI Engineer position?

Strong candidates are hands-on technical leaders who can own end-to-end AI initiatives from stakeholder engagement to deployment, deliver measurable business outcomes with rapid iteration, and partner across functions like Sales, Marketing, and Customer Support.

GitLab

Unified DevOps platform for software development

About GitLab

GitLab offers a DevOps platform that simplifies the software development process by providing a single application for collaboration, visibility, and speed. The platform integrates various tools needed for software development, which helps teams manage their projects more efficiently without juggling multiple tools. This allows companies to concentrate on enhancing their products instead of spending too much time on builds. GitLab serves a wide range of clients, including large corporations from different industries, demonstrating its versatility. The company operates on a subscription-based model, where clients pay for access to the platform, which includes features for continuous integration and deployment. GitLab also provides free trials and regularly updates its platform to deliver ongoing value to its users. By customizing its offerings and partnering with other technology providers, GitLab aims to enhance its ecosystem and drive revenue.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$421.8MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

1,001-5,000Employees

Benefits

Spending Company Money

Equity Compensation

Life Insurance

Financial Wellness

Paid Time Off

Growth and Development Benefit

GitLab Contribute

Business Travel Accident Policy

Immigration

Employee Assistance Program

Incentives

All-Remote

Part-time contracts

Meal Train

Fertility & Family Planning

Parental Leave

Risks

AI-powered coding assistants like Claude pose a competitive threat to GitLab's platform.

Potential sale to Datadog may lead to strategic shifts misaligned with customer expectations.

Integration of Oxeye may distract from GitLab's core DevOps offerings.

Differentiation

GitLab offers a unified DevOps platform, reducing complexity in software development.

The platform integrates tools for collaboration, visibility, and speed, enhancing development processes.

GitLab's open-source model fosters continuous innovation with a large developer community.

Upsides

Acquiring Oxeye enhances GitLab's cloud security, appealing to security-conscious enterprises.

Partnership with Ooredoo Kuwait expands GitLab's influence in the telecommunications sector.

Potential sale to Datadog could create strategic synergies and expand market reach.

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