AI Deployment Manager - India

About the Role

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 - INDIA As an AI Deployment Manager (ADM) at SpaceXSI, you'll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion. You'll help engineering organizations successfully roll out SpaceXSI and evolve how they work with AI. You'll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You'll shape rollout strategy and influence SpaceXSI's roadmap priorities through customer insight. RESPONSIBILITIES: - Manage a book of business with our top enterprise customers, owning the long-term success of each account - Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change - Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption - Turn high-impact use cases into durable, repeatable workflows across teams - Monitor account health and usage data to drive renewals and expansion with AEs - Represent the customer internally, synthesizing feedback and influencing product priorities BASIC QUALIFICATION

Key Responsibilities

• Manage a book of business with our top enterprise customers, owning the long-term success of each account
• Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change
• Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption
• Turn high-impact use cases into durable, repeatable workflows across teams
• Monitor account health and usage data to drive renewals and expansion with AEs
• Represent the customer internally, synthesizing feedback and influencing product priorities

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.