SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

We're hiring Solution Architects to help the world's best engineering organizations figure out what AI-native software development actually looks like in production. This is a deeply technical, post-sale role embedded inside SpaceXSI's most strategic enterprise accounts. You'll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI. Solution Architects sit at the center of long-term customer transformation.

RESPONSIBILITIES:

• Help Engineering Teams Adopt AI-Native Development: Roll out SpaceXSI across strategic engineering organizations; configure environments, design workflows, and run hands-on enablement sessions; help developers integrate SpaceXSI into real production workflows, not isolated demos; drive fast time-to-value and durable adoption across teams; identify workflow friction and solve problems quickly

• Expand SpaceXSI Across the Organization: Identify where SpaceXSI should expand next inside the customer environment; help engineering organizations evolve from isolated usage to company-wide adoption; design rollout strategies for new workflows, teams, and platform groups; partner with customers to operationalize AI-assisted development at scale; work closely with Account Executives during major expansion moments

• Become a Trusted Technical Partner: Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders; lead architecture reviews, technical working sessions, and strategic planning discussions; advise customers on developer productivity, workflow design, governance, and AI adoption strategy; coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress; help organizations navigate workflow and operational change as AI-native development evolves

• Drive Real Customer Outcomes: Help customers translate adoption into measurable engineering impact; connect SpaceXSI usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality; help customers communicate the value of SpaceXSI internally and build momentum for broader adoption; turn successful deployments into repeatable workflow patterns across the organization

• Help Make SpaceXSI Indispensable: Deepen workflow adoption and long-term product stickiness; monitor competitive risk and help customers standardize on SpaceXSI over time; support recovery plans when adoption slows or competing tools gain traction; help customers build workflows they can't imagine operating without

• Shape the Future of the Product: Bring structured feedback from strategic customers into Product and Engineering; identify emerging workflow patterns, friction points, and enterprise requirements; help shape new capabilities through lighthouse customers and design partnerships; turn successful customer workflows into reusable playbooks and reference patterns

BASIC QUALIFICATIONS:

• Technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling

• Experience in a customer-facing technical role such as Solutions Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar

PREFERRED SKILLS AND EXPERIENCE:

• The ability to work hands-on with engineering teams while also operating strategically with technical leadership

• A strong understanding of developer workflows, SDLC tooling, integrations, CI/CD systems, governance, and enterprise engineering environments

• Excellent communication skills and the ability to explain complex technical concepts clearly across both technical and executive audiences

• Strong instincts around workflow design, adoption strategy, and driving workflow change across engineering teams

• High ownership, strong execution skills, and comfort operating in fast-moving environments with ambiguity

• A passion for developer tooling and strong conviction around how AI will reshape software engineering