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AI Deployment Manager - Australia

Posted 10 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in Australia
Entry level
Remote
Hiring Remotely in Australia
Entry level
Owns post-sale success for enterprise customers in Australia, leading AI platform onboarding, enablement, adoption, retention, and expansion. The role manages account health, engages senior engineering stakeholders, translates use cases into repeatable workflows, and represents customer feedback internally to influence product priorities. It requires collaboration with Sales, Field Engineering, Product, and Support while guiding AI-driven organizational change.
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.

AI DEPLOYMENT MANAGER - AUSTRALIA

As an AI Deployment Manager (ADM) at SpaceXSI, you'll own the post-sale journey for a portfolio of enterprise customers in Australia, 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 QUALIFICATIONS:

  • Experience in a customer-facing role at the intersection of business and technology

PREFERRED SKILLS AND EXPERIENCE:

  • Thrives in customer-facing roles

  • Experience working at the intersection of business and technology and thrive in customer-facing roles

  • Able to translate customer needs into clear technical plans and measurable outcomes

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

  • Communicate comfortably with both developers and senior executives

  • Analytical and operational, using data to prioritize and drive action

  • Already a SpaceXSI user (or power user of modern AI coding tools) with strong opinions about what great looks like (big plus)

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