SpaceX
Data Engineer (Starlink Go-To-Market)
Hawthorne, CA$125k–$150kmidAdded today
About this role
SpaceX seeks a Data Engineer to architect and optimize Starlink's commercial operating system, bridging business strategy and technical execution. You'll design scalable systems, deploy AI-powered workflows, and eliminate bottlenecks across the lead-to-cash lifecycle to drive revenue impact.
What you'll do
- Identify and resolve operational bottlenecks limiting growth, productivity, and execution velocity across sales and fulfillment
- Design and evolve the long-term architecture for commercial systems including CRM, data platforms, billing, and support tools
- Deploy AI agents and workflow automation to eliminate repetitive work and improve decision quality across Sales, Account Management, and Operations
- Build commercial dashboards and reporting to enable data-driven decision-making from a trusted, unified source of truth
- Own administration and continuous improvement of HubSpot, Clay, Apollo, and related go-to-market platforms
- Partner with Data Engineering and cross-functional teams to improve data quality, integrations, and operational visibility
What they're looking for
- Go-to-market systems architecture and revenue operations
- HubSpot, Clay, Apollo, or similar commercial platforms
- AI agent design and intelligent workflow automation
- API integrations, data pipelines, and Model Context Protocol
- Commercial data analysis and business intelligence
- Systems thinking and technical-to-business translation
- CRM, billing, fulfillment, and support system configuration
- Cross-functional collaboration in fast-growth environments
Opens the official application on the employer’s site. No login required.
SpaceX
SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.
- Website
- spacex.com
Likely interview questions
- Walk us through a bottleneck you identified in a go-to-market process and how you architected a technical solution to address it
- Describe your experience building and deploying AI agents or automation in a commercial environment—what metrics did you use to measure success?