AI Product Manager Lead Risk and Intelligence

amIT Global Solutions Sdn Bhd

Indonesia

On-site

IDR 250,000,000 - 450,000,000

Full time

2 days ago
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Job summary

amIT Global Solutions Sdn Bhd is seeking an AI Product Manager to lead end-to-end AI product lifecycle, from opportunity identification to commercialization. You will translate business needs into scalable AI solutions and align with strategic objectives across departments.

The role requires strong market analysis, roadmap development, and collaboration with engineering, data science, UX, and sales to deliver measurable business value in a dynamic tech landscape.

Qualifications

  • Bachelor's degree in business, CS, engineering or data science.
  • 6+ years in product management with AI focus preferred.
  • Experience turning opportunities into scalable AI products.

Responsibilities

  • Identify AI opportunities and validate use cases aligned with goals.
  • Define vision, strategy, and roadmap for AI products.
  • Write requirements, user stories, and solution designs.
  • Lead end-to-end development with engineering, data, and design.
  • Plan go-to-market and commercialization strategies.
  • Monitor performance and optimize product outcomes.
  • Manage lifecycle from iteration to scaling and innovation.

Skills

Product strategy
Roadmaps
Agile
Cross-functional leadership
Market analysis
Go-to-market
Stakeholder management
Customer discovery

Education

Bachelor's degree in related field
AI/PM related discipline

Tools

CPM/ACPM/PM certifications
PMP
AI/ML certifications

Job description

Job Summary

The AI Product Manager is responsible for driving the end-to-end development and lifecycle management of AI-driven products and solutions, from opportunity identification and product strategy to execution and commercialization. This role works closely with business, technology, and cross-functional teams to translate customer needs and business challenges into scalable AI-powered products that deliver measurable value. The role focuses on defining product vision, prioritizing roadmaps, validating use cases, and ensuring successful product delivery while adapting to evolving AI technologies, market trends, and customer demands. The AI Product Manager is expected to build innovative, customer-centric, and commercially viable AI solutions that support business growth, operational efficiency, and digital transformation across multiple industries

Key Responsibilities
AI Opportunity Identification & Use Case Validation

Conduct market analysis, customer discovery, and business needs assessment to identify high-value AI opportunities and validate use cases aligned with business goals.

AI Product Strategy & Roadmap Development

Define product vision, strategy, and roadmap for AI-driven products, ensuring alignment with business priorities, customer needs, and technology capabilities.

Product Requirement Definition & Solution Design

Develop product requirements, user stories, and solution frameworks by translating business problems into AI-driven product specifications.

AI Product Development & Delivery

Lead end-to-end product development in collaboration with engineering, data, and design teams to ensure timely and effective product delivery.

Product Launch & Commercialization

Plan and execute go-to-market strategies, including product positioning, stakeholder enablement, and commercialization planning to drive adoption and market success.

Product Performance Monitoring & Optimization

Monitor product performance, user adoption, and business impact, using data-driven insights to identify improvement opportunities and optimize product outcomes.

Product Lifecycle Management & Innovation

Manage the product lifecycle, including iteration, enhancement, scaling, and innovation to ensure long-term competitiveness and evolving market relevance.

Minimum Education
  • Bachelor's degree in Business Administration, Computer Science, Engineering, Data Science, or a related field.
Preferred Education
  • Degree or specialisation in Artificial Intelligence, Product Management, or a related discipline.
Certifications (Advantage, Not Mandatory)
  • CPM (Certified Product Manager) or ACPMPO (Advanced Certified Product Manager / Product Owner).
  • PMP (Project Management Professional) or any relevant product or project management certification.
  • Certifications in AI/ML, product management (e.g. Pragmatic Institute, AIPMM), or Agile methodologies.
Experience Requirements
Required
  • 6+ years of progressive experience in product management.
  • Proven experience in product strategy, roadmap development, and product commercialization, with the ability to translate business opportunities into scalable product solutions.
  • Extensive experience in market analysis, product strategy, roadmap development, and go-to-market execution.
  • Strong background in agile product development methodologies, including defining product requirements, overseeing technical development, and ensuring market fit.
  • Strong experience in customer discovery, market validation, and product requirement definition to identify pain points and build customer-centric products.
  • Proven track record in go-to-market execution and product adoption growth, including product positioning and stakeholder enablement.
  • Prior leadership role in a startup or innovation-driven enterprise, driving product innovation.
  • Experience in stakeholder management, working with internal stakeholders, customers, and external partners.
  • Demonstrated success in coordinating cross-functional teams (engineering, marketing, sales, and data science) to deliver high-impact products.
Preferred
  • Experience in BFSI Industry.
  • Experience launching and scaling AI-powered products in industries such as e-commerce, on-demand services, and other digital natives.
  • Experience scaling AI products from concept to commercialization in a global market.
  • Knowledge of regulatory and compliance standards (e.g. GDPR, HIPAA, automotive safety standards) relevant to AI deployment.
  • Familiarity with AI ethics, explainability, and responsible AI practices.
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