Staff AI Engineer, AI Engineering at GitLab

, , United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI, ML, Automation, Platform Engineering, APIs, Integration Patterns, Data Management, CRM, Salesforce, Marketing Automation, Zendesk, Financial Systems, Analytical Skills, Communication Skills, Technical Leadership

Industry

IT Services and IT Consulting

Description

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 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. An overview of this role As a Staff AI Engineer, you’ll build the foundation for GitLab's transformation into an AI-First company. Reporting to the Director of AI Engineering, you'll be a hands-on technical leader responsible for the end-to-end delivery of internal AI-powered solutions that drive measurable business outcomes across the organization. You'll own initiatives from functional requirements through deployment—combining deep technical expertise with broad business acumen to ship fast and drive impact. With initial focus areas in Sales, Marketing, and Customer Support, you'll work across multiple business functions, understanding diverse needs and delivering AI solutions embedded within core systems and workflows. You'll partner closely with stakeholders across Go-To-Market, R&D, Finance, and other teams to identify high-ROI opportunities and move from concept to production quickly. What You'll Do 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. What You'll Bring Engineering Experience: 7+ years in software engineering, with recent focus on AI/ML solutions, automation, or platform engineering. Technical Depth: Strong proficiency in Python and experience with modern AI technologies including LLMs (OpenAI, Anthropic Claude, etc.), agentic orchestration frameworks, and RAG architectures. Comfortable working with APIs, integration patterns, and data management. Business System Expertise: Hands-on experience integrating with business systems such as CRM (Salesforce), marketing automation (Marketo, HubSpot), support platforms (Zendesk), and financial systems. Understanding of enterprise data models and workflows. Broad Functional Expertise: Deep understanding of multiple business functions and their processes—spanning Sales, Marketing, Customer Success, Finance, and Operations. Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs. End-to-End Ownership: Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity, defining problems, architecting solutions, and driving to measurable outcomes independently. Product Mindset: Ability to scope MVPs, prioritize ruthlessly, and deliver iteratively. You think beyond just the code—considering adoption, user experience, and business outcomes. Analytical & Data-Driven: Strong analytical skills with ability to define KPIs, measure impact, and use data to drive decisions and continuous improvement. Communication Skills: Excellent written and verbal communication. Can explain complex technical concepts clearly to non-technical stakeholders. Comfortable engaging with senior leaders, gathering requirements from diverse teams, and influencing technical direction. Bias for Action: Self-starter who takes ownership, moves fast, and isn't afraid to experiment and iterate. Comfortable with ambiguity and building in a fast-paced environment. Remote Work Excellence: Self-motivated and effective in distributed, asynchronous work environments. Nice to Have Experience with GitLab platform and CI/CD workflows Background in consulting, solutions engineering, or customer-facing technical roles Previous startup or high-growth company experience Experience mentoring or leading technical projects with junior engineers About the team The Enterprise Technology & AI team is not just the group responsible for supporting GitLab's internal technology; it is the backbone of the organization - driving transformation that improves how team members make decisions, operate at scale, and deliver results for our customers. How GitLab will support you 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 Home office support 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. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Responsibilities

As a Staff AI Engineer, you will build the foundation for GitLab's transformation into an AI-First company, owning AI initiatives from functional requirements through deployment. You will partner closely with stakeholders across various business functions to deliver AI solutions that drive measurable business outcomes.