Manager, Applied Computing

Space

X 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 Space

X is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

As a Manager in Applied Computing, dedicated to enterprise AI, you will own the initiative focused on leveraging artificial intelligence to enhance Space

X's internal systems, processes, and workflows for different programs. This role is critical for accelerating the output of existing teams and programs by integrating AI solutions that optimize efficiency, automate complex tasks, and drive innovation in a fast‑paced environment. You will serve as a key technical leader, collaborating across departments to identify AI opportunities, develop scalable integrations, and ensure end‑to‑end success in boosting productivity for mission‑critical operations.

An ideal candidate has a strong technical background in AI/ML development and integration, with proven leadership experience across program life cycles. We are looking for managers who enjoy solving complex problems, can work effectively in a high‑paced dynamic environment, and are passionate about advancing the space industry through process improvement and system design.

• Key technical leader in all phases of AI integration from initial opportunity identification through successful deployment, testing, optimization, and ongoing maintenance.
• Ensure AI deliverables are completed on‑time and exceed internal stakeholder expectations; distill team and program needs into actionable AI development criteria, objectives, and validation plans.
• Serve as the primary interface at meetings and reviews to develop AI integration requirements, test plans, operational procedures, design solutions, mitigate risks, and verify system performance.
• Work with all internal stakeholders to drive program acceleration; collaborate with subsystem representatives across teams, pushing boundaries to consider all necessary trades and ensure end‑to‑end efficiency gains.
• Lead and integrate AI trades for various internal tools, such as project management platforms, data pipelines, and collaboration systems; analyze a wide variety of solutions to meet productivity needs and support the development of AI‑enhanced operational concepts.
• Support all phases of AI initiatives from prototyping through full‑scale rollout, including educating teams on AI methodologies and fostering a culture of innovation.
• Mentor and manage a team of engineers, promoting a positive, "can‑do" attitude and delivering reliable results across multiple parallel priorities.
• Collaborate closely with internal teams to deeply understand Space
  
  X processes and innovate solutions in which AI could improve efficiency. Take direct feedback and turn it into improved outcomes.

• Bachelor's degree in computer science, artificial intelligence, data science, engineering, or sciences.
• 4+ years of experience in the technology, aerospace, or space industry.
• 2+ years of technical project management or system‑level engineering experience.
• 1+ years of experience managing technical teams.

• 5+ years of aerospace or high‑tech industry experience.
• Previous experience working with AI product design, development, integration, and/or test.
• Demonstrated ability to work under pressure and deliver expeditious results across multiple parallel priorities.
• Previous experience with AI integrations in enterprise settings.
• Strong penchant for innovation in process improvement and AI system design.
• Positive, "can‑do" attitude, self‑starter, and ability to work in a high‑pace dynamic environment.

• Must be willing to work extended hours and weekends as needed.
• Must be willing to travel up to 50% of the time to visit different sites.
• This role requires you to be onsite. Remote and/or hybrid work will not be considered.

Manager, Software Engineering: $ – $ per year.

Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on…