Project Manager, Generative AI
New York
Friday, 29 May 2026
Own the end-to-end delivery of AI projects from scoping through deployment and adoption. Build and maintain project roadmaps, timelines, and dependency maps for AI initiatives. Coordinate across AI builders, product teams, and business stakeholders to align priorities. Facilitate stakeholder discovery sessions to define problems, requirements, and success criteria. Run lightweight delivery cadences adapted to AI development workflows. Track and communicate project status, risks, and outcomes to leadership. Maintain project documentation and work with knowledge architects on knowledge sharing practices. Who We’re Looking For. We are looking for experienced project managers with strong technical fluency and the ability to drive outcomes in fast-moving, ambiguous environments. Strong Candidate Backgrounds. Technical project or program managers in software or technology teams. Product managers with delivery-heavy experience. Startup operators or chiefs of staff with technical project oversight. Delivery leads in engineering or technology organizations. You Likely Have 5 years managing technical projects or programs in software, AI, or product environments. Strong understanding of AI development workflows, prototyping cycles, and iterative delivery. Experience working directly with engineers or AI builders in generative AI environments. The ability to translate ambiguous business problems into structured project plans. Comfort operating in fast-moving environments where requirements evolve through experimentation. What Makes Someone Successful. The strongest AI Project Managers:Focus on outcomes and adoption, not just on-time delivery. Keep builders unblocked and stakeholders aligned without introducing unnecessary process. Understand enough about AI systems to ask the right questions and spot risks early. Communicate clearly across technical and non-technical audiences. Care about measurable business impact, not just project milestones. They enjoy making teams more effective and ensuring great work actually ships. Why This Role Is Different. AI changes the nature of project management. Traditional PM roles focus on predictable timelines, fixed requirements, and linear delivery. AI projects are different—they involve rapid prototyping, emergent requirements, and outcomes that depend on adoption, not just deployment. At Hearst, the AI Project Manager operates as a high-leverage delivery leader who combines project management discipline, technical fluency, and stakeholder engagement to ensure that AI initiatives create real transformation across the company.