Senior AI Product Manager

Senior Product Manager

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.
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.
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 Requirements

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
Compensation: $96,250.00/Year - $158,125.00/Year
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.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law.