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AI Deployment Manager

Reposted 2 Months Ago
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In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, USA
Senior level
Own post-sale success for enterprise customers: lead end-to-end rollouts, drive adoption and retention, engage engineering leaders, translate use cases into repeatable workflows, monitor usage to drive renewals and expansion, and surface customer insights to influence product roadmap.
The summary above was generated by AI

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.

About the role

As an AI Deployment Manager (ADM) at SpaceXAI, 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 Cursor 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 SpaceXAI’s roadmap priorities through customer insight.

Success is measured by customer retention, product adoption, and revenue expansion.

What you’ll do
  • 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

You may be a fit if
  • You’ve worked at the intersection of business and technology and thrive in customer-facing roles

  • You can translate customer needs into clear technical plans and measurable outcomes

  • You understand modern engineering orgs, the SDLC, developer workflows, and tool adoption

  • You communicate comfortably with both developers and senior executives

  • You’re analytical and operational, using data to prioritize and drive action

  • You’re already a Cursor user (or power user of modern AI coding tools) with strong opinions about what great looks like (big plus)

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