Senior Product Manager - AI

Responsibilities

• 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.
• Candidates must be willing to participate in at least one in-person interview.
• 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.

Requirements

• 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.
• 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: 4+ 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:
  • 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

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

Pay

Compensation: $96,250.00/Year - $158,125.00/Year. The base pay range shown is a guideline. Individual total compensation will vary based on factors such as