AI Product Manager
Title: AI Product Manager Location: Reston, VA - Hybrid Duration: 12 Months Contract + Hire Job Description: Terms of Employment • W2 Contract-to-Hire, 12 Months • This is a hybrid position. Candidates must be comfortable working onsite in Reston, VA once or twice per week. Remote work on other day(s) is acceptable. • Candidates must reside in a commutable distance to Reston, VA (DMV residency required). Overview • Work with a leading firm on highly strategic initiatives as a Senior Product Manager. This is not a "sideline" role; you will be the driving force behind a portfolio of products, with a heavy emphasis on Artificial Intelligence. You will partner directly with the hiring manager to revamp processes, drive efficiencies, and deliver high-impact outcomes in a fast-paced, senior-level environment. You will… • Manage a portfolio of 3 to 5 major product lines along with multiple smaller products and "run and maintain" activities. • Drive end-to-end product strategy, moving beyond the tactical level of a Product Owner to manage an entire portfolio. • Lead AI-driven initiatives, ensuring AI components are effectively designed and integrated into the product lifecycle. • Utilize Google Analytics to interpret data trends, monitor KPIs, and make informed product decisions. • Build and maintain strong customer relationships and manage unplanned work requests effectively. • Revise and revamp internal processes by bringing in best practices from the tech industry. Required Qualifications • Minimum 5+ years of seasoned Product Management experience (Senior level). • Demonstrated experience managing AI-driven products or initiatives (hands-on implementation, not just theoretical). • Experience working at major "tech giants" or large, complex IT organizations. • Proficiency in Google Analytics for data interpretation and KPI management. • Experience supporting Mobile App development, backend web services, and Cloud Migration initiatives. • Must be a "Go-Getter" with a proven track record of driving change and taking ownership. • SAFe Certifica – OR – in-depth, proven SAFe knowledge and implementation experience. Preferred Qualifications • Healthcare industry experience (highly preferred for terminology and faster impact). • Experience working at major "tech giants" or large, complex IT organizations.