This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
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
#J-18808-Ljbffr
Worksite address
englewood, CO, 80151, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.