Global Lead, AI Data Sourcing & Operations

SPACE EXPLORATION TECHNOLOGIES CORP

Palo Alto (CA)

On-site

USD 185,000 - 260,000

Full time

10 days ago
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Benefits offered by this job

Stock options
Long-term incentives
401(k) retirement plan
Medical, vision, and dental coverage
Paid vacation

Job summary

Space Exploration Technologies Corp. is seeking a Sr. Manager, Supply Chain (Data Operations) to lead a data sourcing team that fuels AI model training.

You will define sourcing strategies, expand a global supplier network, and ensure data quality and delivery targets align with engineering roadmaps. The role requires 6+ years in related fields, strong leadership, and a track record of delivering high-signal datasets in fast-moving environments.

Qualifications

  • Bachelor’s degree or higher required with 6+ years in business, supply chain, engineering, procurement, strategy/operations, or technology.
  • Experience leading data operations or technical sourcing in fast-moving environments.
  • Strong leadership, negotiation, analytical, and cross-functional skills.

Responsibilities

  • Build, lead, and mentor a sourcing team focused on high-quality data acquisition across major taxonomy categories.
  • Define category strategies with engineering and model performance teams; develop exclusive datasets.
  • Oversee global supplier network and end-to-end sourcing to meet targets.
  • Negotiate major agreements on pricing, volume, quality, and exclusivity.
  • Improve sourcing processes, workflows, tools, and planning systems.
  • Track KPIs; provide updates to senior leadership.

Education

Bachelor’s degree

Job description

Space Exploration Technologies Corp. is seeking a Sr. Manager, Supply Chain (Data Operations) to lead a data sourcing team that fuels AI model training.

You will define sourcing strategies, expand a global supplier network, and ensure data quality and delivery targets align with engineering roadmaps. The role requires 6+ years in related fields, strong leadership, and a track record of delivering high-signal datasets in fast-moving environments.

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