Product Manager

AI Product Manager, Senior Consultant (Consulting to Hire)

Location: Hybrid | Midtown Manhattan, NYC (Remote 2-3 days a week)

Our client, a premiere NYC-based nonprofit organization at the forefront of education, research, and technology, is seeking an outstanding AI Product Manager to join their team on a consulting-to-hire basis. This is a unique opportunity to work within a mission-driven organization, driving innovative AI/ML initiatives that will help transform data access and search capabilities for a wide-ranging audience.

In the role, you will work hand-in-hand with engineering, UX, and data teams to build AI-powered products that are both cutting-edge and highly responsible, with a focus on accuracy, transparency, and impact. This position is a consulting-to-hire opportunity with fantastic benefits upon conversion, including a pension plan, extremely generous PTO, excellent comprehensive benefits (health, dental, vision), and much more...

In This Role, You Will:

• Own product delivery for AI-powered search tools and internal data access solutions
• Collaborate with engineering, UX, research, and data teams to build AI-enabled products using open-source models (Llama, Hugging Face, GPT-style tools)
• Drive roadmap execution, backlog management, and agile development practices
• Work closely with stakeholders to ensure AI initiatives are responsible, transparent, and aligned with privacy and governance standards
• Identify new opportunities to leverage AI/ML for improved user experience and operational efficiency
• Communicate product roadmaps, project updates, and success metrics to leadership and internal teams
• Serve as an internal evangelist for AI best practices

Candidate Profile:

• 7 years of product management experience, ideally within technology or data-driven environments
• Proven experience leading AI/ML product initiatives (even 1-2 solid projects is sufficient)
• Strong product ownership skills, including roadmap prioritization, backlog management, and cross-functional delivery
• Experience working closely with engineering teams, validating technical requirements, and driving execution
• Excellent communication skills, comfortable presenting to both technical and non-technical stakeholders
• Strong understanding of data privacy best practices and responsible AI development
• A proactive, fast-moving, and collaborative working style