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.

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.