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DATA ENGINEER (STARLINK GO-TO-MARKET)

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.

RESPONSIBILITIES:

Commercial Strategy & Systems Architecture

• 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 HubSpot, Clay, Apollo, and related commercial platforms

AI & Intelligent Automation

• 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

Commercial Intelligence & Decision Support

• 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

BASIC QUALIFICATIONS:

• 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

PREFERRED SKILLS AND EXPERIENCE:

• Experience designing and owning commercial technology stacks (Customer Relationship Management, enrichment, sequencing, billing, and support systems)
• Strong proficiency with HubSpot, 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 how multiple commercial systems work together as a unified operating model
• Familiarity with application programming interfaces, data pipelines, Model Context Protocol servers, or integration platforms
• Proven ability to identify operational bottlenecks and translate them into scalable technical solutions
• Experience partnering with Sales, Account Management, Channel, Product, and Data teams in a high-growth environment
• Strong systems thinking with the ability to balance short-term execution needs against long-term architectural health
• Excellent communication skills with the ability to translate technical concepts into clear business impact for non-technical stakeholders
• Experience in Enterprise, Software-as-a-Service, telecom, or complex business-to-business go-to-market motions preferred

ADDITIONAL REQUIREMENTS:

• Available to work extended hours and/or weekends as needed to support major system launches, critical automation rollouts, or high-priority commercial initiatives
• Willingness to travel as needed to support cross-functional alignment and key team events

COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $125,000.00 - $150,000.00
Level 2: $145,000.00 - $175,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.