Remote, US•United States of America
Remote
Senior
Full Time
14 days ago
💰$108,400 - $129,600
AILLMPythonJavaScriptPrompt EngineeringRemoteSenior Level
Requirements
- •Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar)
- •Solid understanding of REST APIs, GraphQL, and integration patterns
- •Deep practical experience with modern AI technologies, specifically prompt engineering
- •Understanding of model selection and cost-performance trade-offs
- •Experience with agentic architecture patterns including tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns
- •Practical fluency across the LLM ecosystem including models from Anthropic, OpenAI, and open-source alternatives
- •Critical thinking about AI safety and risk awareness including designing guardrails like input validation, output filtering, access controls, prompt injection defenses, and data leakage prevention
- •Systems thinking and diagnostic rigor to identify constraints and root causes in complex processes
- •Familiarity with enterprise business systems such as CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean)
- •Broad functional understanding to engage with diverse stakeholders and understand their needs
- •Track record of owning complex initiatives from discovery through delivery
- •Product mindset with ability to scope MVPs, prioritize ruthlessly, and deliver iteratively considering adoption, user experience, and business outcomes
What You'll Do
- •Diagnose business problems before building solutions by mapping workflows, identifying constraints, and confirming 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 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, measuring success using flow metrics alongside adoption and ROI
- •Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms
- •Leverage and showcase GitLab's AI offerings as Customer Zero, feeding real-world usage insights back to R&D
- •Partner closely with stakeholders across functions to understand real constraints and align on outcomes before solutions
- •Define and track success through business metrics, flow metrics, and feedback loops
- •Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations to help scale impact
Nice to Have
- •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
Benefits
- •Benefits to support 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
About GitLab
GitLab is a web-based Git repository manager that offers a variety of features for software development teams.
San Francisco, CA, US
1000 - 5000
Developer Tools