AI-First Product ManagerLocation: US Only East Coast (Preferred)Role OverviewSeeking a forward-thinking AI-First Product Manager to drive the development of innovative, AI-led digital products. This role will focus on embedding artificial intelligence into product strategy, delivery, and continuous optimization.The ideal candidate is a strong, well-rounded Product Manager with hands-on AI experience and exposure to AI POD (cross-functional agile teams). While prior experience in global mobility is not required, the candidate must collaborate closely with internal Subject Matter Experts (SMEs) across domains.Key ResponsibilitiesDefine and own the product vision, roadmap, and strategy for AI-enabled solutions.Lead the development of AI-first products, ensuring alignment with business goals and user needs.Collaborate with internal SMEs, engineering teams, data scientists, and business stakeholders to deliver impactful solutions.Drive end-to-end product lifecycle management: ideation, development, launch, and iteration.Translate business problems into AI/ML use cases and product features.Lead AI PODs (cross-functional squads) and ensure agile delivery practices.Prioritize product backlogs based on customer value, business impact, and technical feasibility.Track and analyze product performance using data-driven decision-making.Stay up to date on AI trends, tools, and technologies, integrating best practices into product strategies.Required QualificationsProven experience as a Product Manager delivering end-to-end digital products.Strong experience in AI/Machine Learning-driven products (must-have).Solid understanding of AI concepts, data pipelines, and model lifecycle.Experience working in agile environments, ideally within AI PODs or similar structures.Excellent ability to work cross-functionally with SMEs and technical teams.Strong stakeholder management and communication skills.Demonstrated ability to translate business needs into technical product requirements.Preferred QualificationsExperience in AI-first product strategy or transformation initiatives.Exposure to enterprise-level product environments.Familiarity with data platforms, analytics tools, and cloud ecosystems (AWS, Azure, GCP).Background working in consulting, professional services, or complex organizational setups.What Success Looks LikeDelivery of scalable AI-enabled products with measurable business impact.Strong collaboration with SMEs leading to high-quality domain-driven solutions.Efficient management of AI PODs delivering fast, iterative product releases.Consistent alignment of product outcomes with organizational AI strategy.