Associate Product Manager | HR Tech, LMS & Talent Platforms | Onsite, Noida | Open to India-based candidates only
listed 34 days ago
Nirdisha removes a role 90 days after it was listed.
- Sector
- Services
- City
- Delhi NCR
- Area
- Cyber City Gurugram
- Experience
- 3 to 5 years
- Role family
- HR and Recruiting
- Employment type
- fulltime_permanent
- Salary
- Not disclosed
- Posted
- 3 Aug 2026 · 1 month ago
- Last checked
- 7 Sept 2026
About the role
Associate Product Manager | HR Tech, LMS & Talent Platforms
Location: Noida (Onsite)Full-Time Employee
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 an Associate Product Manager, ideally with a background in HR tech, LMS, or talent platforms, to help turn product vision into the documents, decisions, and experiences that engineering builds from. This is a growth-oriented role for someone who wants to build a long-term career in product management.
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.
What You'll Do
Transform ideas, customer feedback, and business needs into clear product requirements, feature briefs, and product documentation
Create wireframes, mockups, presentations, and product artifacts using AI-powered tools
Build quick working prototypes with AI tools to test ideas early, and help define the evaluation criteria that tell us whether an AI feature is working
Work daily with engineers to clarify requirements and support product delivery
Participate in customer and user conversations, translating insights into product improvements
Maintain and refine product documentation as priorities evolve
Build deep expertise in AI, skills intelligence, learning, and talent management
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