Product Manager | HR Tech, LMS & Talent Platforms | Hybrid, Princeton, NJ | Open to US-based candidates only

Product Manager | HR Tech, LMS & Talent Platforms | Hybrid, Princeton, NJ | Open to US-based candidates only

Location: Princeton, NJ (Hybrid, 3 days per week onsite)Full-Time, Exempt

Join our AI-native talent and skills intelligence platform, helping organizations understand the skills their people have, the skills their business needs, and the path between the two.

We're looking for a Product Manager, ideally with a background in HR tech, LMS, or talent platforms, to own a product area end to end and turn product vision into the specs, prototypes, and decisions that engineering builds from. This role has real scope from day one, including mentorship of associate product talent as the team grows.

If you're an exceptional communicator, a structured thinker, and someone who already uses AI tools every day to produce better work faster, we'd love to meet you.

About the Role

This product is built within Infopro Learning, a global learning and talent solutions company, giving us access to enterprise customers from day one. It's already in use by real customers, and we're building rapidly as we help organizations make smarter talent, skills, learning, and workforce decisions through AI.

This role requires some overlap with our India-based team, typically in the Eastern Time morning.

What You'll Do

• Own the product roadmap for a defined area, turning customer feedback and business priorities into clear requirements, feature briefs, and product documentation

• Partner closely with engineering leads on scope and tradeoffs, and direct the creation of wireframes, prototypes, and product artifacts using AI-powered tools

• Build working prototypes with AI tools to validate ideas before engineering commits, and define the evaluation criteria that tell us whether an AI feature is working

• Work daily with engineers to resolve ambiguity and keep delivery on track

• Lead customer and user conversations, translating insights into prioritized product decisions

• Maintain and evolve product documentation as priorities shift

• Mentor associate product managers and help shape how the product team works

• Build deep expertise in AI, skills intelligence, learning, and talent management