AI Deployment Manager - Singapore

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.

AI DEPLOYMENT MANAGER - SINGAPORE

We're hiring the first AI Deployment Manager to partner with some of our most strategic enterprise customers. As an AI Deployment Manager, you'll drive adoption, deliver measurable business value, and help shape how AI transforms engineering teams. You'll act as the connective tissue between customer stakeholders and our internal teams, influencing both the SpaceXSI roadmap and each customer's implementation strategy. This role is highly cross-functional and customer-facing.

RESPONSIBILITIES:

• Build and grow deep relationships with engineering leaders and power users at key accounts

• Partner with Field Engineering and Sales to deliver a seamless post-sale experience; drive adoption of SpaceXSI by aligning usage with business objectives and engineering goals

• Guide customers on best practices for rollout, prompt strategy, context configuration, and internal enablement

• Serve as the customer's voice internally and influence roadmap priorities

• Provide strategic account planning and regular business reviews with VP- and CTO-level stakeholders

• Monitor account health, usage patterns, and product engagement to drive renewals and expansion

BASIC QUALIFICATIONS:

• Experience in TAM, Solutions Architecture, Customer Success, or Consulting for enterprise software

PREFERRED SKILLS AND EXPERIENCE:

• Fluent in technical workflows, AI tooling, and developer productivity (even without full-time engineering experience)

• Strong communication skills and executive presence, and comfortable whiteboarding with developers and pivoting to value with a CTO

• A deep understanding of the software development lifecycle and engineering org structures

• Customer-obsessed with a knack for strategic thinking and problem-solving

• Thrive in a startup environment: scrappy, proactive, and adaptable