Data Infrastructure Operations Specialist II (Starlink)
Manages global supplier networks and negotiates deals to deliver high-quality data for AI model training, ensuring cost efficiency and timely execution.
- Compensation
- $95K–$120K / yr
- Location
- Redmond, WA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Operations
- Posted
Skills
Must have
- 3+ years of experience and a bachelor’s degree, or equivalent experience working in one or more of the following fields: Hardware or product management Engineering Procurement Supply chain management
Nice to have
- Self-starting, able to identify areas for improvement with minimal direction
- Experience in managing technical or construction projects from beginning to end
- Ability to tackle complex and ambiguous problems
- Excellent project management, communication, and organizational skills
- Experience or interest in data analysis, data visualization, and/or financial analysis
- Demonstrates commitment to SpaceX’s goals of reusability, renewability, and sustainability
Full description
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 enabling human life on Mars.
DATA INFRASTRUCTURE OPERATIONS SPECIALIST II (STARLINK)
The Infrastructure Operations team is responsible for the end-to-end management of suppliers, costs, and delivery of high-quality human-generated data, including annotations, evaluations, and specialized research datasets that power the training, validation, and continuous improvement of our AI models. We're seeking talented, high-ownership individuals to grow and expand our global supplier network while ensuring the consistent, high-quality delivery of critical datasets. Individuals in this role are creative, fast problem-solvers who seek on challenges outside their comfort zone and can iterate and adapt at the rapid pace of the AI industry.
RESPONSIBILITIES:
- Negotiate creative, flexible, and commercially effective deals with key suppliers and partners.
- Align sourcing strategy with engineering, quality, and performance requirements across priority areas.
- Track deal status, approvals, and execution risks while driving suppliers toward timely and reliable delivery.
- Continuously improve, standardize, and scale sourcing processes, workflows, tools, and planning systems.
- Build a strong pipeline of exclusive and proprietary enterprise datasets.
- Provide valuable inputs on upcoming orders based on supplier capacity, quality, and pricing.
- Maintain rigorous spend discipline, committing budget only to datasets that meaningfully improve model performance.
- Set target pricing, analyze supplier spend and trends, and develop metrics for quality, delivery, and performance.
- Manage clear, proactive communication with both internal stakeholders and external partners.
BASIC QUALIFICATIONS:
- 3+ years of experience and a bachelor’s degree, or equivalent experience working in one or more of the following fields:
- Hardware or product management
- Engineering
- Procurement
- Supply chain management
- Strategy and operations
- Technology
PREFERRED SKILLS AND EXPERIENCE:
- Self-starting, able to identify areas for improvement with minimal direction
- Experience in managing technical or construction projects from beginning to end