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Technical AI Product Manager--- US Citizen

Confidential Client•Software & Technology
Entry LevelFull-timeOn-SiteN/A
Reston, Virginia
20 Hours Ago

The Technical AI Product Manager role requires over 8 years of product management experience with a strong focus on enterprise AI technologies supporting large, matrixed organizations. The position demands expertise in Agile methodologies such as SAFe and Kanban, proficiency with JIRA for sprint and backlog management, and preferably experience with AWS cloud environments and the healthcare insurance industry.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Business Consulting and Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Position Summary

Confidential Client is seeking an experienced Technical AI Product Manager to lead enterprise-scale AI product initiatives. You will partner with engineering, data science, security, UX, and business stakeholders to define product strategy, own roadmaps, manage backlogs in JIRA, and deliver reliable AI capabilities across a large, matrixed organization.


What You’ll Do

  • Define and drive the product strategy and roadmap for enterprise AI products.
  • Collaborate with cross-functional teams (engineering, data science, security, compliance, UX, and business stakeholders) to translate business needs into product requirements.
  • Own backlog, sprint planning, and release execution using JIRA and Agile (SAFe/Kanban) practices.
  • Prioritize features and technical debt based on business impact, risk, and compliance requirements.
  • Coordinate with platform and infrastructure teams to ensure scalability, observability, and responsible AI controls.
  • Communicate product status, trade-offs, and roadmap updates to senior leadership and stakeholders.
  • Drive data- and metric-driven decision-making; define success metrics and monitor product health.

Required Qualifications

  • 8+ years of product management / product ownership experience, with a strong track record of delivering enterprise products.
  • Extensive, multi-year experience working with AI technologies at scale in large, matrixed organizations (managing a single AI agent or small startup-focused work is not sufficient).
  • Strong practical background working within Agile, SAFe, or Kanban environments.
  • Deep, hands-on proficiency with JIRA for backlog and sprint management.
  • Must be authorized to work in the United States. (If specific U.S. citizenship or clearance is required for this role due to contract or security requirements, the client will communicate that explicitly.)

Preferred Qualifications

  • Hands-on exposure or familiarity with AWS cloud environments.
  • Prior experience in the Healthcare Insurance industry or working with regulated healthcare data and compliance requirements.
  • Product management certifications or formal training in Agile/SAFe are a plus.

Skills & Tools

  • Enterprise AI product strategy and lifecycle management
  • JIRA (backlog & sprint management)
  • Agile frameworks (SAFe, Kanban)
  • Familiarity with cloud platforms (AWS)
  • Strong communication, stakeholder management, and prioritization skills

Location & Employment Type

  • Location: Reston, VA (on-site, hybrid, or remote arrangements will depend on the client’s requirements)
  • Employment type: Full-time

Confidential Client and Careertakes follow all applicable federal and state employment laws. Reasonable accommodations are available for applicants with disabilities during the hiring process.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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