Manager, Product Management - AI Initiatives

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 ROIAI 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 designSQL, telemetry analysis, and enterprise visualization tools (Tableau, PowerBI, or Looker)
Visa sponsorship not available for this position#LI-CH2

Salary Range Compensation: $/Year - $/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…