Leads the enterprise AI product portfolio, including a unified AI Core Platform with LLM gateways, retrieval systems, and agentic frameworks. Manages and mentors Product Managers while partnering with Data Science, Engineering, UX, Legal, and Governance teams. Establishes AI product methodologies, evaluates use cases, drives digital transformation, and governs ethical deployment, privacy, security, bias mitigation, and human oversight. Uses telemetry, SQL, and visualization tools to measure model performance, costs, and productivity. The summary above was generated by AI 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. 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 Skills, Experience and Requirements 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 Ranges Compensation:

$110,100.00/Year

• $157,300.

00/Year 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 . 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. 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 [email protected] 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. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Read Full Description HQ EchoStar Englewood, Colorado, USA Office EchoStar Corporate Headquarters

• Meridian Office View Gallery Close 9601 S Meridian Boulevard, Englewood, CO, United States, 80112 EchoStar Centennial, Colorado, USA Office Centennial, United States EchoStar Denver, Colorado, USA Office EchoStar Downtown Denver Office
• DGC Office View Gallery Close 1615 17th St., Denver, CO, United States, 80202 EchoStar Littleton, Colorado, USA Office EchoStar Wireless Headquarters
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Key Facts About Colorado Tech Number of Tech Workers:

260,000; 8.5% of overall workforce (2024 CompTIA survey)

Major Tech Employers:

Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3

Key Industries:

Software , artificial intelligence , aerospace , e-commerce , fintech , healthtech

Funding Landscape:

$4.9 billion in VC funding in 2024 (Pitchbook)

Notable Investors:

Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures Research Centers and Universities:

Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute