At a Glance
- Tasks: Lead AI initiatives, diagnose business problems, and develop innovative solutions.
- Company: Join GitLab, a leading tech company transforming software development with AI.
- Benefits: Enjoy flexible paid time off, equity compensation, and a supportive remote work environment.
- Other info: Be part of a dynamic team driving transformation and innovation across the organisation.
- Why this job: Shape the future of AI in a collaborative, high-performance culture that values every voice.
- Qualifications: Strong coding skills, AI expertise, and a passion for technology and problem-solving.
The predicted salary is between 70000 - 90000 £ per year.
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. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.
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.
As a Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.
Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.
What You'll Do
- Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention.
- Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
- Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.
- Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.
- Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate.
- Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.
- Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.
- Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.
- Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.
What You'll Bring
- A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure.
- Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively.
- AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns.
- AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences.
- Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint.
- Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato).
- Broad Functional Understanding - 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.
- Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively.
Preferred Requirements
- Experience with GitLab platform and CI/CD workflows.
- Background in consulting, solutions engineering, or customer-facing technical roles.
- Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking.
- Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development.
- Previous startup or high-growth company experience.
- Experience mentoring or leading technical projects with junior engineers.
About The Team
You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.
We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.
How GitLab Supports Full-Time Employees
- 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.
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, national origin, age, citizenship, marital status, mental or physical disability, genetic information, discharge status from the military, protected veteran status, or any other basis protected by law.
Senior AI Engineer employer: GitLab
Contact Detail:
GitLab Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former GitLab employees on LinkedIn. Ask them about their experiences and any tips they might have for your interview. Personal connections can give you insights that you won't find anywhere else.
✨Tip Number 2
Prepare for the technical side! Brush up on your coding skills and be ready to demonstrate your AI knowledge. Practice coding challenges and be prepared to discuss your past projects in detail, especially how you've integrated AI solutions.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, focus on how you diagnose business problems and propose effective AI solutions. Use real-world examples to illustrate your thought process and how you’ve tackled similar challenges before.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the GitLab team!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how you’ve integrated AI into your past projects and how it can drive innovation at GitLab. Make it personal and relatable!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior AI Engineer role. Highlight your skills and experiences that align with our needs.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the job description. Show us how your unique background and skills can contribute to our mission at GitLab.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it helps us keep everything organised and efficient as we review applications!
How to prepare for a job interview at GitLab
✨Understand the Role Deeply
Before your interview, take the time to thoroughly understand the Senior AI Engineer role at GitLab. Familiarise yourself with their products and how AI is integrated into their workflows. This will help you articulate how your skills align with their needs and demonstrate your genuine interest in the position.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've diagnosed business problems and implemented AI solutions in the past. Highlight your ability to map workflows, identify constraints, and validate whether AI is the right solution before jumping into development. This shows that you think critically and strategically.
✨Demonstrate Technical Proficiency
Make sure to brush up on your coding skills and be ready to discuss your experience with modern AI technologies. Be prepared to talk about your proficiency in scripting languages like Python or JavaScript, as well as your understanding of REST APIs and integration patterns. GitLab values clean, maintainable code, so be ready to showcase your best work.
✨Embrace the Culture of Collaboration
GitLab thrives on collaboration and knowledge exchange. During your interview, express your enthusiasm for working in a remote, asynchronous environment and your willingness to partner with stakeholders across various functions. Share examples of how you've successfully collaborated with diverse teams to achieve common goals.