Role & responsibilities
Product Strategy & Roadmap
- Develop and maintain comprehensive product roadmaps aligned with business goals.
- Translate market opportunities and customer needs into actionable product initiatives.
- Identify opportunities for AI/ML integration to enhance product capabilities, personalization, and operational efficiency.
Product Development Leadership
- Oversee the entire product lifecycle from concept to launch and optimization.
- Collaborate with design, engineering, sales, and marketing for seamless delivery.
- Lead the adoption of AI-powered solutions to drive innovation and differentiation.
- Regularly assess product performance using data-driven and AI-driven insights.
Customer and Market Insights
- Deeply understand and advocate for customer needs through research and analytics.
- Analyze market trends and competitor movements to identify opportunities and threats.
- Leverage predictive analytics and AI-driven insights to anticipate customer behaviors.
Cross-functional Collaboration
- Work closely with engineering, operations, finance, and legal to deliver product goals.
- Ensure product strategy aligns with company-wide OKRs.
Team Leadership and Development
- Build, mentor, and retain a high-performing product team.
- Foster a culture of accountability, innovation, and continuous learning.
- Guide the team on adopting AI tools and data-driven decision making.
Governance and Compliance
- Ensure all products meet quality, regulatory, and ethical AI standards.
- Manage budgets and resource allocation to maximize commercial impact.
- Ensure AI initiatives comply with privacy, security, and responsible AI practices.
Stakeholder Communication
- Communicate product plans, progress, and outcomes to leadership and key partners.
- Act as the product spokesperson and thought leader for technology and AI-driven innovation.
YOUR SKILLS AND EXPERIENCE
Required:
- 10+ years in product management with 5+ in senior/GM roles.
- Strong strategic thinking, analytical decision-making, and leadership skills.
- Expertise in product lifecycle management, agile methods, and data-driven KPIs.
- Proven success in leading cross-functional and distributed teams.
Preferred Skills:
- Background in technology, SaaS, or e-commerce industries.
- MBA or relevant postgraduate qualification.
- Experience integrating AI/ML solutions or personalization features in products.
- Familiarity with predictive analytics, recommendation engines, and automation frameworks.
- Understanding of ethical AI principles and regulatory considerations.

Keyskills: Product Management Product Leadership Product Strategy Customer research and analytics Automation Framework Leadership Skills Predictive Analytics
The company is in Manufacturing of Investment Castings For various Fields like Automobile,Valves, Engineering parts etc.