Lead, Data Operations & Sourcing for AI Training

United States Digital Space LLC; Palo Alto (CA); On-site; USD 155,000 - 215,000; Full time

Benefits offered by this job

Stock options

Long-term incentives

Bonuses

Employee Stock Purchase Plan

Medical vision dental coverage

401(k) retirement plan

Paid parental leave

Paid vacation & holidays

Paid sick leave

Job summary

United States Digital Space LLC is seeking a Manager, Strategic Sourcing (Data Operations) to build and run SpaceXAI's data operations team. You will define the sourcing strategy, vet high-quality training data, manage vendor relationships, and collaborate with research to close model gaps and improve performance.

Lead a global supplier network, negotiate major agreements, and ensure datasets meet cost, quality, and delivery targets while standardizing sourcing processes and KPIs for executive

Qualifications

• Technical understanding of AI training data and how dataset quality affects model performance.
• Experience in fast-paced AI, ML, or data infrastructure environments.
• Background building or managing global supplier networks for services or data.
• Strong leadership, negotiation, analytical, and cross-functional skills.

Responsibilities

• Build, lead, and mentor a sourcing team focused on high-quality data for research needs.
• Source and co-develop datasets with vendor partners to meet model complexity.
• Oversee global supplier network to meet acquisition and delivery targets.
• Negotiate major agreements covering pricing, volume, quality, and delivery.

Skills

AI training data

ML data environments

Global supplier networks

Leadership & negotiation

Cost management

Data analysis & KPIs

Problem solving

Mission-driven

Education

Bachelor’s degree

Job description

United States Digital Space LLC is seeking a Manager, Strategic Sourcing (Data Operations) to build and run SpaceXAI's data operations team. You will define the sourcing strategy, vet high-quality training data, manage vendor relationships, and collaborate with research to close model gaps and improve performance.

Lead a global supplier network, negotiate major agreements, and ensure datasets meet cost, quality, and delivery targets while standardizing sourcing processes and KPIs for executive