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Open nowPosted 6 days ago

AI Product Manager – Agentic Managed Services

MyCareersFuture94,028 open roles

Pay
SGD 12,000 – SGD 18,000 a Monthly
Where
Central, Singapore
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Your applicationOpen nowAI Product Manager – Agentic Managed ServicesMyCareersFuture · Central, Singapore

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  5. 33.7%30 days
This job: posted 6 days ago

The posting

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, ServiceNow and SuccessFactors 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, ServiceNow or SuccessFactors.
  • 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 within 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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