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AI Product Manager – Agentic Managed Services

Job in Singapore, Singapore
Listing for: TEKISHUB CONSULTING SERVICES PTE. LTD.
Full Time position
Listed on 2026-10-15
Job specializations:
  • Business
    AI Business & Operations
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 210000 SGD Yearly SGD 180000.00 210000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced AI Product Manager - Agentic Managed Services to lead the strategy, development, roadmap and commercialization of AI-enabled managed services offerings.

The successful candidate will be responsible for translating complex business and operational challenges into scalable, enterprise-grade AI solutions that deliver measurable client value and drive operational transformation. This role requires a strong combination of AI product management, managed services expertise, business strategy and senior stakeholder management
.

Key Responsibilities
  • Define and own the product strategy, vision and roadmap for AI-enabled and agentic managed services offerings.

  • Identify client business challenges and translate them into scalable AI-driven products, solutions and service offerings
    .

  • Develop comprehensive business cases, strategic roadmaps and value realization frameworks to support product investment and commercialization decisions.

  • Lead the end-to-end product lifecycle, from opportunity identification and solution conceptualization through development, launch, adoption and continuous improvement.

  • Collaborate with AI, technology, engineering, operations, sales and delivery teams to develop commercially viable managed services solutions.

  • Drive the integration of AI and agentic capabilities into enterprise managed services environments.

  • Work with enterprise platforms such as SAP, Salesforce, Service Now and Success Factors to identify opportunities for AI-enabled automation and transformation.

  • Engage senior client stakeholders to understand strategic priorities, identify transformation opportunities and communicate the business value of proposed AI solutions.

  • Define product success metrics and monitor adoption, operational performance, business outcomes and value realization.

  • Develop product positioning, go-to-market strategies and commercialization plans in collaboration with sales and business development teams.

  • Monitor developments in Generative AI, agentic AI, automation and enterprise technology to identify emerging opportunities and enhance the product portfolio.

  • Provide product leadership across cross-functional teams and ensure alignment between business requirements, technology capabilities and client outcomes.

Requirements
  • Minimum 10 years of relevant professional experience
    , with demonstrated experience in product management, technology consulting, managed services, digital transformation or related areas.

  • Proven experience developing business cases, strategic product roadmaps and value realization frameworks
    .

  • Strong experience managing and engaging senior client stakeholders and business leaders
    .

  • Demonstrated experience developing, managing or commercializing technology-enabled products or managed services offerings.

  • Good understanding of Artificial Intelligence, Generative AI, agentic AI, intelligent automation and their enterprise applications
    .

  • Experience working with at least one major enterprise platform such as SAP, Salesforce, Service Now or Success Factors
    .

  • Strong commercial acumen with the ability to translate technology capabilities into measurable business outcomes.

  • Experience working with multidisciplinary teams across product, engineering, technology, operations, sales and delivery.

  • Excellent communication, presentation, stakeholder management and strategic problem-solving skills.

  • Ability to operate effectively within complex enterprise and client environments.

Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Management or a related discipline.

  • Experience with in IT consulting, technology services, enterprise managed services or digital transformation environments would be advantageous.

  • Prior exposure to the commercialization or implementation of AI/GenAI-enabled enterprise solutions is preferred.

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