Data Engineer (Starlink Go-To-Market)

Responsibilities

• 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
• 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
• Prioritize systems, automation, and process initiatives based on business impact, scalability, and execution velocity
• Partnership with the Operations Engineer on integrations, Model Context Protocol servers, and data foundations so AI agents operate on clean, trusted context

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
• 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
• 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