Senior Partner Solutions Architect – Strategic Partnerships
Posted 1hrs ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Partner Solutions Architect shaping GitLab DevSecOps integrations with hyperscalers, AI labs, and technology vendors. Owning partner technical strategy, AI model evaluation, and product integration decisions.
Responsibilities:
- Own the end-to-end technical strategy for assigned strategic partners
- Turn partner technology and roadmaps into integration, architecture, and product opportunities across the GitLab platform
- Resolve complex technical issues across GitLab and partner systems, including cloud architecture, tool integrations, and AI model and agent evaluation and integration
- Build working prototypes to validate concepts with partners
- Manage the end-to-end AI model evaluation process with model partners
- Coordinate with R&D on evaluation criteria, timelines, and partnership and product roadmap decisions
- Design and facilitate partner workshops, architecture reviews, and FinOps sessions
- Build business cases for joint technical efforts, defining gains, costs, and resources
- Bring partner requirements and technical feedback into Product and R&D discussions
- Coordinate Engineering, Product, FinOps, Finance, Sales, and Marketing with partner technical teams
- Track cloud, AI, and DevSecOps developments and share findings through documentation, the handbook, reference architectures, and technical content
- Report to the VP, Corporate Development and Strategic Partnerships
Requirements:
- Experience as a Senior Solutions Architect, Partner Solutions Architect, Partner Engineer, or in a similar senior technical role
- Experience with technology partners or alliances is strongly preferred
- End-to-end understanding of the software development lifecycle, CI/CD, and DevSecOps
- Ability to use GitLab in depth
- Hands-on cloud architecture experience with at least one hyperscaler: Google Cloud, AWS, or Microsoft Azure
- Working knowledge of AI model evaluation frameworks and agent technology, including LLM APIs, agent frameworks, and MCP
- Experience designing and facilitating technical workshops with senior technical and business stakeholders
- Experience building business cases that scope work, estimate gains and costs, and size resources
- Autonomous, ownership-driven approach
- Clear, concise written and spoken communication
- Ability to travel about once a quarter
- Ability to work hours overlapping with EMEA; US West Coast employees should expect to start around 7 a.m. Pacific Time
Benefits:
- 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















