Product Manager | HR Tech, LMS & Talent Platforms | Hybrid, Princeton, NJ | Open to US-based candidates only
Quick Summary
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,
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
~1 min readThis 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.
Responsibilities
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Own the product roadmap for a defined area, turning customer feedback and business priorities into clear requirements, feature briefs, and product documentation
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Partner closely with engineering leads on scope and tradeoffs, and direct the creation of wireframes, prototypes, and product artifacts using AI-powered tools
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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
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Work daily with engineers to resolve ambiguity and keep delivery on track
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Lead customer and user conversations, translating insights into prioritized product decisions
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Maintain and evolve product documentation as priorities shift
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Mentor associate product managers and help shape how the product team works
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Build deep expertise in AI, skills intelligence, learning, and talent management
5+ years of experience in Product Management, ideally at an HR tech, LMS, or talent platform company, with a track record of owning features or a product area end to end
Excellent written communication and the ability to simplify complex topics for both technical and non-technical audiences
Demonstrated experience gathering requirements from business stakeholders and translating them into prioritized, actionable plans
Strong product thinking and a structured, data-informed approach to problem-solving
Experience mentoring or supporting more junior product talent
Comfort working in a fast-moving environment where priorities shift and ownership is expected
Daily, hands-on use of AI tools, not as an occasional aid, but as a core part of how you think, write, and build
Authorization to work in the United States. We are unable to sponsor or take over sponsorship of employment visas for this role.
Modern product work goes beyond traditional PRDs. In an AI-assisted world, product managers deliver spec documents that both engineers and AI coding tools build from, working prototypes that test ideas before engineering commits, and the prompts and evaluation criteria that define what "good" looks like for AI features.
You've spent several years around HR tech, LMS, or talent platforms, owning product decisions in a role such as product management, implementation, or customer success with product ownership. What matters most is your ability to think clearly, communicate effectively, drive ambiguous problems to resolution, and use AI to accelerate your work.
Ownership of a product area within an AI-native platform, built from the ground up
Direct exposure to enterprise customers and high-visibility product decisions
Deep expertise in the talent, skills, and learning technology space
The opportunity to help shape the product team as it grows
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 58%
- Scored at
- September 29, 2026
Signal breakdown
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