Product Manager (Service Operations / AI Enablement)

We are hiring a Product Manager with strong experience in service-oriented digital platforms and exposure to AI-driven solutions. The ideal candidate will work closely with engineering and business teams to build scalable products that improve service delivery, operational efficiency, and customer experience.

This role requires someone who understands how service organizations operate and can translate business needs into impactful product capabilities.

Roles & Responsibilities

• Lead end-to-end ownership of product features related to service operations and field execution platforms
• Define product direction and prioritize enhancements based on business impact and user needs
• Collaborate with engineering and data teams to deliver scalable and intelligent solutions
• Identify opportunities to improve workflows through automation, analytics, and AI-driven capabilities
• Work closely with stakeholders (business teams, customers, partners) to gather requirements and validate solutions
• Translate functional needs into clear product requirements, user stories, and acceptance criteria
• Monitor product performance using key metrics such as adoption, efficiency improvements, and operational gains
• Conduct market and competitor analysis to support product positioning and enhancements
• Support product rollouts, documentation, and user enablement activities

Experience Needed

• 5–15 years of total IT experience, with relevant experience in Product Management / Product Ownership
• Hands-on experience in service-based platforms such as field operations, maintenance systems, or aftermarket/service lifecycle environments
• Prior exposure to manufacturing or industrial domain is highly preferred
• Experience working with tools like ServiceMax, PTC, IFS, or Salesforce service platforms is a strong advantage
• Understanding of key service workflows including:
  • Work order management
  • Technician scheduling / dispatch
  • Service contracts, warranties, and parts handling
• Exposure to AI/ML concepts or data-driven product features (predictive insights, automation, recommendations, etc.)
• Strong experience working with cross-functional teams (engineering, business, stakeholders)
• Excellent communication, problem-solving, and decision-making skills