AI Product Manager – Agentic Managed Services

TEKISHUB CONSULTING SERVICES PTE. LTD.

Singapore

On-site

SGD 180,000 - 210,000

Full time

12 days ago
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Job summary

TEKISHUB CONSULTING SERVICES PTE. LTD. is seeking an experienced AI Product Manager to lead the strategy, development, roadmap and commercialization of AI-enabled managed services offerings. You will translate complex business challenges into scalable AI solutions delivering client value and transformation.

The role requires deep AI product management, managed services expertise, business strategy and senior stakeholder management to drive enterprise outcomes and revenue growth.

Qualifications

  • Minimum 10 years of relevant professional experience in product management or related fields.
  • Proven experience developing strategic roadmaps and value realization frameworks.
  • Strong track record engaging senior client stakeholders and business leaders.
  • Experience commercializing technology-enabled products or managed services.
  • Solid understanding of AI, GenAI, agentic AI and enterprise applications.
  • Experience with major enterprise platforms such as SAP, Salesforce, ServiceNow or SuccessFactors.
  • Excellent communication, presentation and problem-solving skills.

Responsibilities

  • Define and own the product strategy, vision and roadmap for AI-enabled offerings.
  • Identify client challenges and translate them into scalable AI-driven products and services.
  • Develop business cases, strategic roadmaps and value realization frameworks.
  • Lead end-to-end product lifecycle from discovery to launch and adoption.
  • Collaborate with AI, technology, engineering, operations, sales and delivery teams.
  • Drive integration of AI and agentic capabilities into enterprise managed services.
  • Engage senior stakeholders to communicate business value of AI solutions.
  • Define product success metrics and monitor adoption and outcomes.
  • Develop positioning, go-to-market strategies and commercialization plans.

Skills

AI product management
Managed services
Stakeholder management
Business strategy
Go-to-market
Commercialization
Sales collaboration

Education

Bachelor's degree in CS/IT/Eng/Business/Management

Tools

SAP
Salesforce
ServiceNow
SuccessFactors

Job description

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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