Base Salary
$108k - $130k/yr
Responsibilities
- Diagnose business problems by mapping workflows, identifying constraints, and determining whether AI is appropriate.
- Own AI initiatives from stakeholder discovery and technical design through implementation, deployment, and iteration.
- Design, develop, and rapidly ship AI-powered solutions focused on measurable business value.
- Build solutions that reduce bottlenecks, shorten lead times, and increase organizational throughput.
- Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and AI platforms including GitLab Duo Agent Platform.
- Use GitLab’s AI offerings as Customer Zero and provide real-world usage feedback to R&D.
- Partner with stakeholders across functions to clarify constraints, align on outcomes, and bridge technical and non-technical perspectives.
- Track business metrics, flow metrics, adoption, ROI, and feedback loops to evaluate performance.
- Evaluate tools, document technical patterns, and create reusable foundations that scale team impact.
Requirements
- Strong proficiency in Python, JavaScript/TypeScript, or a similar modern scripting language.
- Production-quality coding, debugging, and end-to-end delivery skills.
- Practical experience with prompt engineering, context management, multi-turn interactions, and output evaluation.
- Understanding of model selection, fine-tuning, retrieval-augmented generation, context-window trade-offs, and capability-versus-cost decisions.
- Experience with agentic architecture patterns, tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production reliability patterns.
- Hands-on familiarity with models from Anthropic, OpenAI, and open-source alternatives.
- Ability to design AI safety controls including input validation, output filtering, access controls, prompt-injection defenses, and data-leakage prevention.
- Experience with enterprise business systems, data models, workflows, and integrations such as Salesforce, Marketo, Zendesk, Workato, Relevance AI, and Glean.
- Ability to own complex initiatives independently from discovery through delivery and define measurable outcomes.
- Product mindset with experience scoping MVPs, prioritizing, iterating, and considering adoption and user experience.
- Preferred: experience with the GitLab platform and CI/CD workflows.
- Preferred: consulting, solutions engineering, or customer-facing technical experience.
- Preferred: familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking.
- Preferred: experience with n8n, Make, or Workato alongside custom development.
- Preferred: startup or high-growth company experience.
- Preferred: mentoring or leading technical projects with junior engineers.
Benefits
- Health, financial, and well-being benefits
- Flexible paid time off
- Team Member Resource Groups
- Equity compensation and Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Fully remote, asynchronous work environment
- Location-based eligibility may apply by country
Tech Stack
Categories
About GitLab
GitLab is the Intelligent Orchestration Platform where software teams and their AI agents stay in flow to amplify their capacity for innovation. Together, they automate repetitive tasks to plan, build, secure, test, deploy and maintain software. With GitLab, software teams spend less time on coordination overhead and more time on the next big idea. GitLab Duo Agent Platform provides AI agents that automate tasks across the software lifecycle. Agents handle code generation, security analysis, code review, CI/CD troubleshooting, and custom workflows — while teams maintain control through enterprise governance. Build what's next with us. Explore open roles and join our talent community: https://about.gitlab.com/jobs/