Senior AI Product Manager

Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview.    Enterprise shared services across HR, IT, and Customer Experience face operational bottlenecks due to manual workflows, fragmented data, and underutilized automation opportunities. This role bridges operational leadership and engineering teams to identify high-value efficiency gaps and deploy enterprise-grade LLM and machine learning solutions. By establishing clear prioritization frameworks, governing AI ethics, and building reusable technical components, the Senior Product Manager resolves enterprise scale challenges and drives measurable cost reduction. What Success Looks Like (Objectives) Deliver a 12-month strategic AI roadmap for shared services that directly advances enterprise digital transformation metrics and operational efficiency targets. Establish a data-driven framework to evaluate, prioritize, and execute internal departmental AI requests based on ROI, technical feasibility, and strategic alignment. Direct cross-functional agile teams of Data Scientists, ML Engineers, and UX Designers to convert manual processes into automated digital workflows. Integrate enterprise-grade Generative AI and LLM capabilities into daily employee workflows while maintaining guardrails against model bias and data leakage. Create reusable AI components and datasets in collaboration with Data Engineering to maximize ROI across multiple internal software ecosystems. Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring) Critical experience launching internal enterprise platforms or tools that resulted in measurable cost savings or operational productivity gains. Advanced AI literacy and practical application expertise in deploying Generative AI, Large Language Models (LLMs), NLP, and predictive models into production environments. Proven ability to align cross-functional executive stakeholders, resolve conflicting business priorities, and drive consensus across complex corporate structures. Expert-level competency in data interpretation, system telemetry, and SQL or visualization tools (Tableau, PowerBI, Looker) to monitor performance metrics. High-level proficiency in applying UX principles to complex machine learning outputs and navigating agile development lifecycles with high ambiguity. Additional Qualifications Master’s degree or MBA in Computer Science, Data Science, Engineering, or Business Administration.

Minimum Education: Bachelor’s Degree in Computer Science, Data Science, Engineering, Business Administration, or a related quantitative field. Minimum Experience:  5+ years of experience in Digital Product Management, including at least 2 years delivering AI/ML or complex automation solutions. Required Technical Skills: Must have at least 2 years of experience with: Generative AI (LLMs), Natural Language Processing (NLP), or predictive modeling integration SQL and data visualization platforms (Tableau, PowerBI, or Looker) for performance and telemetry tracking Agile product management within data science and machine learning lifecycles   Visa sponsorship not available for this role Salary Ranges Compensation: $96,250.00/Year - $137,500.00/Year Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company