NIIT- EV Product Manager

Reposted 12 Days Ago
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Gurugram, Haryana, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead development and management of EV-focused training products. Collaborate with SMEs to design industry-relevant learning experiences, engage clients and stakeholders, and drive product strategy and growth within a global training organization.
Summary Generated by Built In

Profile- Product Manager- EV

Location- Gurugram 

Experience- 8 to 10 Years 

As the Product Manager for EV, you will:

Lead innovation by developing and managing comprehensive training solutions aligned with the latest EV technologies.

Collaborate with experts to design industry-relevant learning experiences that empower professionals to excel in the EV space.

Drive growth in a rapidly expanding sector while working within a global organization with a four-decade legacy of excellence in education and training.

Gain industry exposure by engaging with clients, subject matter experts, and stakeholders in a dynamic and supportive environment.

This role combines technical depth, strategic product management, and an opportunity to lead in a high-growth, future-ready industry. Join us to accelerate your career and leave a lasting impact on the EV ecosystem.

Skills Required

  • 8-10 years of relevant product management experience
  • Domain knowledge of Electric Vehicle (EV) technologies
  • Experience developing or managing technical training or learning solutions
  • Proven client engagement and stakeholder management skills
  • Ability to collaborate with subject matter experts and cross-functional teams
  • Experience in education/training industry or working within a global organization
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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