Senior Partner Solutions Architect, Strategic Partnerships

GitLab

9h • $115,200 - $194,400 • Remote

About The Position

As a Senior Partner Solutions Architect on Strategic Partnerships, you will own the technical strategy and validation of joint work with GitLab’s strategic partners, including hyperscalers, AI labs, AI-native companies, and DevSecOps vendors. You will work with partners, Product, and R&D to turn partner and customer needs into integrations, influence product design, and build business cases for joint efforts, from initial architecture review through shipped integration. You will also lead AI model evaluation with model partners, collaborating with R&D to assess models ahead of release and help ensure GitLab uses models that perform well for customers. Unlike a customer-facing Solutions Architect focused on adoption, this role works with partners to improve GitLab. It has no sales quota or variable pay.

You will join Strategic Partnerships and report to the VP, Corporate Development and Strategic Partnerships. The team manages GitLab’s relationships with hyperscalers, AI companies, and select DevSecOps companies, coordinating areas such as hosting contracts, product integrations, go-to-market activities, purchasing, and partner-specific marketing. Partner managers and directors lead each relationship; you will own the technical side across partner types and collaborate with R&D, Engineering, FinOps, Finance, Sales, and Marketing. The position is remote, with Eastern Time preferred and other US time zones possible. Travel is expected about once a quarter, and the role requires working hours that overlap with EMEA. US West Coast team members should expect to start around 7 a.m. Pacific Time, with flexibility on when the day ends.

Requirements

• Experience as a Senior Solutions Architect, Partner Solutions Architect, Partner Engineer, or in a similar senior technical role.
• End-to-end understanding of the software development lifecycle, CI/CD, and DevSecOps, with the 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, and how they fit into developer workflows.
• Experience designing and facilitating technical workshops with senior technical and business stakeholders, and building business cases that scope work, estimate gains and costs, and size resources.
• An autonomous, ownership-driven approach, identifying work and moving it forward without waiting for a project backlog.
• Clear, concise written and spoken communication, with the ability to explain technical and commercial trade-offs to audiences ranging from engineers to executives.
• Ability to travel about once a quarter and work hours overlapping with EMEA.

Nice To Haves

• Experience with technology partners or alliances is strongly preferred.
• Cloud cost or FinOps experience is a plus.

Responsibilities

• Own the end-to-end technical strategy for assigned strategic partners, connecting technical requirements with joint business objectives.
• Translate partner technologies and roadmaps into integration, architecture, and product opportunities across GitLab, including planning, monitoring, AI agents, and model integrations.
• Resolve complex technical issues across GitLab and partner systems, including cloud architecture, tool integrations, and AI model and agent evaluation and integration; build prototypes to validate concepts.
• Manage the AI model evaluation process with model partners, coordinating early access, evaluation criteria, and timelines with R&D, and translating results into partnership and product roadmap decisions.
• Design and facilitate partner workshops, architecture reviews, and FinOps sessions; involve appropriate participants and document outcomes and next steps.
• Build business cases for joint technical efforts by defining expected gains, costs, and resources, and securing agreement from partner managers, R&D, and leadership.
• Bring partner requirements and technical feedback into Product and R&D discussions to influence product design and the roadmap.
• Coordinate Engineering, Product, FinOps, Finance, Sales, and Marketing with partner technical teams to move joint work from evaluation to delivery.
• Track cloud, AI, and DevSecOps developments to advise partnership investment, and share reusable findings through documentation, the handbook, reference architectures, and technical content.

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
• Home office support

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed