Data Engineer; Starlink Go-To-Market

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

Starlink is the world’s largest satellite constellation delivering high-speed, low-latency broadband to customers around the globe. As the Data Engineer on the Starlink Enterprise team, you will design and build the commercial operating system that enables the business to scale. You will identify operational bottlenecks across the lead-to-cash lifecycle, architect scalable systems and AI-powered workflows, and serve as the connective tissue between business strategy and technical execution.

Your work ensures commercial systems operate as one connected platform rather than a collection of independent tools, driving higher productivity, cleaner execution, and measurable revenue impact.

• Identify systemic operational bottlenecks that limit growth, reseller productivity, customer experience, or execution velocity across the lead-to-cash lifecycle
• Translate business strategy into scalable operational capabilities, systems, and cross-functional roadmaps
• Design and evolve the long-term architecture for Starlink’s commercial operating system across Customer Relationship Management platforms, data platforms, fulfillment, billing, support systems, AI, and reporting
• Design how commercial systems work together as one connected operating model rather than independent applications
• Prioritize systems, automation, and process initiatives based on business impact, scalability, and execution velocity
• Own administration, configuration, and continuous improvement of core go-to-market tools including Hub Spot, Clay, Apollo, and related commercial platforms

• Design and deploy AI agents and workflow automation that eliminate repetitive work, improve decision quality, and increase execution speed across Sales, Account Management, Channel, and Operations
• Embed AI throughout commercial workflows where it meaningfully improves execution speed, operational leverage, or customer experience
• Establish best practices for scalable AI adoption across commercial teams
• Continuously evaluate emerging AI capabilities and identify high-return opportunities to improve how the organization operates
• Partner with the Operations Engineer on integrations, Model Context Protocol servers, and data foundations so AI agents operate on clean, trusted context

• Partner with Data Engineering to improve commercial data quality, system integrations, and operational visibility
• Build executive and team visibility into the commercial funnel, reseller health, operational efficiency, and revenue performance
• Enable data-driven decision making by ensuring commercial teams operate from a trusted, connected source of truth
• Drive tool adoption, measure usage and business value, and continuously retire low-value tools in favor of what actually moves revenue metrics
• Collaborate closely with Sales Operations, Channel Operations, Sales Enablement, and leadership to ensure systems and automation support faster ramp, higher win rates, and scalable channel execution

• Bachelor’s degree in a technical, analytical, or business-related field
• 4+ years of experience in go-to-market engineering, revenue operations, sales systems, business systems, or a related technical operations role
• 1+ years of hands‑on experience building workflow automation, system integrations, or AI‑powered tools in a commercial environment

• Experience designing and owning commercial technology stacks (Customer Relationship Management, enrichment, sequencing, billing, and support systems)
• Strong proficiency with Hub Spot, Clay, Apollo, or similar modern go-to-market platforms
• Demonstrated experience building and deploying AI agents or intelligent automation that drive measurable productivity gains
• Experience architecting…