Product Manager - Tech Delivery - AI/ML Systems

About the Role

This role is responsible for maximizing the value of one or more products at the program level in a scaled Agile model. Key responsibilities include defining the vision and roadmap for products, prioritizing features and epics in the program backlog, and ensuring alignment between stakeholders and development teams. The role supports financial oversight throughout delivery and serves as an expert in the product's business or technology domain and industry.

Responsibilities

• Generate the vision and roadmap for the program based on customer requirements, industry trends, regulations, and strategic direction for the business or technology domain.
• Communicate the program vision and roadmap to stakeholders, product owners, and development teams.
• Oversee the budget(s) for one or more products, collaborating with finance partners on personnel and non-personnel expenses.
• Provide input into defining business capabilities and aligning them to products or creating new products to support them.
• Ensure product availability by partnering with demand and capacity teammates.
• Develop business cases for new products and additional features for existing products.
• Partner with product owners and teams to maximize value through technology and subject-matter expertise.
• Define and execute a multi-year product strategy for AI model enablement and Generative AI capabilities.
• Partner with executive leadership to identify high-value AI use cases and align investments with business priorities.
• Establish roadmaps for AI platforms, model services, and reusable Generative AI capabilities.
• Articulate business value to product owners to ensure alignment across the product roadmap.

Requirements

• 7+ years of Product Management experience with technology platforms, AI products, machine learning systems, or data-driven platforms.
• Strong understanding of AI/ML concepts and model lifecycles.
• Deep knowledge of Large Language Models (LLMs) and Generative AI technologies.
• Experience working with OpenAI APIs and services or similar AI platforms.
• Understanding of foundation models, agentic AI frameworks, and fine-tuning methodologies.
• Experience leading complex products from concept through production deployment.
• Ability to translate highly technical AI concepts into clear business outcomes.
• Excellent executive communication and stakeholder management skills.
• Experience within banking, financial services, fintech, or highly regulated industries.

Desired Qualifications

• Knowledge of Model Risk Management (MRM) frameworks and AI governance practices.
• Experience with cloud-based AI services (Azure AI, AWS Bedrock, Google Vertex AI).
• Familiarity with MLOps, LLMOps, and AI platform engineering.
• Experience launching AI copilots, conversational AI platforms, agentic workflows, or enterprise knowledge assistants.
• Understanding of emerging open-source AI ecosystems and model deployment strategies.

Skills

• Financial Management
• Influence
• Solution Delivery Process
• Stakeholder Management
• Technical Strategy Development
• Agile Practices
• Analytical Thinking
• Collaboration
• Result Orientation
• Risk Management
• Amazon Web Services (AWS)

Schedule

1st shift (United States of America), 40 hours per week.