Enterprise Product Manager for Operational Tech & AI

Aquent; Kissimmee (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Aquent invites a hands-on Product Manager to join a premier global entertainment and technology leader on an 18-month assignment in Florida. You will own delivery-ready backlogs, refine user stories with engineering, prioritize work with stakeholders, and lead sprint planning, release readiness, and post-launch support.

You will use AI tools to enhance backlog quality and efficiency. The role requires strong product judgment and a track record of delivering enterprise technology or operational

Qualifications

• 3+ years of hands-on product management experience
• Experience managing Agile backlogs with software engineering teams
• Proven success delivering project-based work and system improvements
• Ability to establish clarity and direction mid-stream on complex initiatives
• Strong product judgment and stakeholder alignment skills
• Effective facilitation to resolve ambiguity and maintain momentum

Responsibilities

• Own and maintain delivery-ready backlogs for initiatives and projects
• Prioritize work with stakeholders balancing business value and delivery timing
• Refine user stories, acceptance criteria, dependencies and delivery expectations with engineers
• Lead backlog grooming, sprint planning inputs, release readiness and implementation support
• Escalate risks or blockers and manage scope tradeoffs
• Support testing, user validation, deployment readiness and post-launch stabilization
• Leverage AI tools to improve backlog refinement, documentation and follow-ups

Skills

Product management

Agile backlog management

Stakeholder facilitation

Execution mindset

Tools

Azure DevOps

Jira

Flowable

Job description

Aquent invites a hands-on Product Manager to join a premier global entertainment and technology leader on an 18-month assignment in Florida. You will own delivery-ready backlogs, refine user stories with engineering, prioritize work with stakeholders, and lead sprint planning, release readiness, and post-launch support.

You will use AI tools to enhance backlog quality and efficiency. The role requires strong product judgment and a track record of delivering enterprise technology or operational