What Success Looks Like (Objectives): Candidates must be willing to participate in at least one in-person interview.

The Group Product Manager (GPM) of AI Initiatives serves as a strategic product leader addressing the challenge of scaling enterprise AI and intelligent automation capabilities across complex business units. This role solves fragmented product development by building a unified AI Core Platform while managing a cross-functional team of Product Managers, Data Scientists, AI Engineers, and UX Designers. By establishing product management best practices for non-deterministic software and governing ethical deployment, the GPM drives operational efficiency, mitigates technical risks, and transforms enterprise workflows.

What Success Looks Like (Objectives):

• Shape and execute a multi-year AI product portfolio strategy that directly accelerates digital transformation, reduces costs, and improves enterprise user experiences
• Scale and mentor a team of Product Managers, establishing standard operating procedures for rapid prototyping and non-deterministic software development
• Drive a cohesive AI Core Platform strategy featuring centralized LLM gateways, retrieval systems, and shared agentic frameworks to eliminate redundant efforts across departments
• Refine enterprise intake frameworks to evaluate prospective AI applications based on business ROI, technical feasibility, security posture, and data readiness
• Partner with Legal and Governance teams to enforce model safety, data privacy, bias mitigation, and human-in-the-loop design patterns

Core Skills, Competencies, and Key Experiences (What you’ll bring)Core Skills and Competencies (What you’ll bring):

• Strategic leadership in overseeing complex enterprise AI/ML portfolios that deliver scalable platform efficiencies and high ROI
• AI Application and Innovation expertise across Generative AI architecture, LLMs, RAG, agentic workflows, and predictive modeling pipelines
• Demonstrated ability to communicate complex AI trade-offs to VP and C-level stakeholders while driving cross-functional consensus
• Skill in establishing product methodologies, managing experimental backlogs, and leading enterprise change management initiatives
• Data interpretation ability using enterprise telemetry, SQL, and visualization platforms to measure model drift, cost-per-inference, and system productivity

Additional Qualifications:

• MBA or Master’s degree in a related technical discipline

Minimum Requirements:

• Minimum Education:

Bachelor’s degree in a quantitative or business field (Computer Science, Data Science, Engineering, or Business Administration)

• Minimum Experience:

8+ years of total Digital Product Management experience, with at least 2+ years dedicated to production-grade AI/ML or Generative AI platforms, and 2+ years of direct people management

• Required Technical Skills:

Must have at least 2 years of experience with:

• Generative AI architecture, machine learning, LLMs, RAG, fine-tuning, or agentic workflows
• AI platform governance, ethical AI frameworks, and human-in-the-loop design
• SQL, telemetry analysis, and enterprise visualization tools (Tableau, PowerBI, or Looker)

Visa sponsorship not available for this position

Salary Range

Compensation: $110,100.00/Year - $157,300.00/Year
About Our Department

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.

About Our Company

Echo Star 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.

Benefits

We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.

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.

This job posting will be active for a minimum of 3 days and 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. Echo Star 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. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email Recruiting@Dish.com.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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

The Group Product Manager (GPM) of AI Initiatives serves as a strategic product leader addressing the challenge of scaling enterprise AI and intelligent automation capabilities across complex business units. This role solves fragmented product development by building a unified AI Core Platform while managing a cross-functional team of Product Managers, Data Scientists, AI Engineers, and UX Designers. By establishing product management best practices for non-deterministic software and governing ethical deployment, the GPM drives operational efficiency, mitigates technical risks, and transforms enterprise workflows.

What Success Looks Like (Objectives):

• Shape and execute a multi-year AI product portfolio strategy that directly accelerates digital transformation, reduces costs, and improves enterprise user experiences
• Scale and mentor a team of Product Managers, establishing standard operating procedures for rapid prototyping and non-deterministic software development
• Drive a cohesive AI Core Platform strategy featuring centralized LLM gateways, retrieval systems, and shared agentic frameworks to eliminate redundant efforts across departments
• Refine enterprise intake frameworks to evaluate prospective AI applications based on business ROI, technical feasibility, security posture, and data readiness
• Partner with Legal and Governance teams to enforce model safety, data privacy, bias mitigation, and human-in-the-loop design patterns

Core Skills and Competencies (What you’ll bring):

• Strategic leadership in overseeing complex enterprise AI/ML portfolios that deliver scalable platform efficiencies and high ROI
• AI Application and Innovation expertise across Generative AI architecture, LLMs, RAG, agentic workflows, and predictive modeling pipelines
• Demonstrated ability to communicate complex AI trade-offs to VP and C-level stakeholders while driving cross-functional consensus
• Skill in establishing product methodologies, managing experimental backlogs, and leading enterprise change management initiatives
• Data interpretation ability using enterprise telemetry, SQL, and visualization platforms to measure model drift, cost-per-inference, and system productivity

Additional Qualifications:

• MBA or Master’s degree in a related technical discipline

Minimum Requirements:

• Minimum Education:

Bachelor’s degree in a quantitative or business field (Computer Science, Data Science, Engineering, or Business Administration)

• Minimum Experience:

8+ years of total Digital Product Management experience, with at least 2+ years dedicated to production-grade AI/ML or Generative AI platforms, and 2+ years of direct people management

• Required Technical Skills:

Must have at least 2 years of experience with:

• Generative AI architecture, machine learning, LLMs, RAG, fine-tuning, or agentic workflows
• AI platform governance, ethical AI frameworks, and human-in-the-loop design
• SQL, telemetry analysis, and enterprise visualization tools (Tableau, PowerBI, or Looker)

Visa sponsorship not available for this position