Product Owner - Agentic AI & Enterprise Orchestration

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Product Owner for Agentic AI to own the product vision, roadmap and measurable business outcomes for enterprise AI capabilities. You will translate identity, security and control requirements into prioritized features for secure and scalable adoption, partnering with AI engineering and security teams.

The role demands strong collaboration with IAM, cybersecurity, governance and architecture to drive multi-agent orchestration, lifecycle management

Qualifications

• Experience leading enterprise AI products from MVP to large-scale adoption.
• Knowledge of IAM, zero trust, and policy-based access controls.
• Experience with governance or responsible AI initiatives.
• Strong collaboration with security, compliance, and architecture teams.

Responsibilities

• Define product vision, roadmap, MVP scope, and success metrics.
• Own backlog with epics, features, user stories, and acceptance criteria.
• Prioritize backlog and support PI/sprint planning.
• Drive requirements for multi-agent orchestration and lifecycle.
• Define lifecycle requirements from discovery to retirement.
• Coordinate with IAM and cybersecurity on identities and Zero Trust.
• Collaborate across APIs, identity flows, telemetry, and platforms.
• Coordinate dependencies across AI Eng, IAM, Governance, Architecture, and platform teams.
• Communicate business value, milestones, risks, and dependencies to leadership.

Skills

Enterprise AI

IAM & Zero Trust

Responsible AI

Security collaboration

Enterprise adoption

Job description

Machine Learning Technologies, LLC is seeking a Product Owner for Agentic AI to own the product vision, roadmap and measurable business outcomes for enterprise AI capabilities. You will translate identity, security and control requirements into prioritized features for secure and scalable adoption, partnering with AI engineering and security teams.

The role demands strong collaboration with IAM, cybersecurity, governance and architecture to drive multi-agent orchestration, lifecycle management