Senior Product Manager (AI)

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Senior Product Manager (AI) with a strong background in product management and at least 8 years of experience in AI/data products. You will lead stakeholder engagement and define product vision, manage workflows, and ensure successful product launches. Ideal candidates should be action-oriented with a growth mindset, excelling in strategic decision-making and communication across teams. Join us to drive AI innovations and make a meaningful impact.

Qualifications

• Minimum 8 years of relevant experience in product management.
• Experience with AI or data products.
• Proven track record of shipping successful AI products.

Responsibilities

• Deliver high-quality, maintainable software systems.
• Lead stakeholder engagement for AI solutions.
• Manage product backlog and prioritize features.

Skills

Product management

AI product experience

Stakeholder management

Agile methodologies

Analytical problem-solving

UX capabilities

Education

Degree in Computer Science or related field

Tools

AWS Cloud

Data Engineering

Job description

Our client, one of Asia-Pacific’s leading organizations is looking for:
Senior Product Manager (AI)

Responsibilities

• Delivering high-quality, maintainable, and reusable software systems
• Build strong relationships and partners to define product vision, business objectives, strategy and roadmap for AI and data initiatives
• Lead stakeholder engagement to develop value propositions for AI-powered solutions and secure buy-in for product initiatives
• Conducting product discovery and user service journey workshops
• Conduct competitive landscape analysis and market positioning for technology solutions
• Define go‑to‑market strategies and product launch plans
• Create and maintain product documentation and knowledge bases
• Conduct user testing sessions to translate insights into AI and data product improvements
• Manage product backlog, conduct user interviews, run design sprints, development sprints and prioritize features to deliver maximum value for users
• Define, implement and track key product metrics including user acquisition, engagement, conversion rates, and retention across AI and data platform features
• Own product performance through comprehensive analytics, monitoring user behaviour patterns, feature adoption rates, and platform usage trends to drive data‑driven product decisions
• Write clear product requirements and user stories for AI models, data pipelines, and analytics platforms
• Own product performance and track user engagement by making data‑driven decisions through advanced analytics and AI metrics
• Maintain and manage updates, model retraining, and bug fixes to ensure AI system reliability and data platform stability
• Develop and manage product budgets and resource allocation
• Justify ROI and business value of product initiatives
• Present product updates to senior leadership and board members
• Create regular product performance reports and dashboards
• Communicate product roadmap changes to stakeholders
• Manage external vendor relationships and partnerships

Requirements

• Degree in Computer Science, IT, Engineering or related field
• Minimum 8 years of relevant experience in product management, with preference for AI/data product experience
• Experience working directly with data scientists, AI/ML engineers, designers, and product teams
• Strong background in modern AI/data development practices (Agile, AWS Cloud, Cloud AI services, Data Engineering, Design Thinking)
• Proven track record of shipping successful AI or data products from scratch
• AI/ML product and project management
• Strong analytical and problem‑solving capabilities with data‑driven approaches
• Understanding of machine learning workflows, data pipelines, and AI model deployment
• User experience (UX) capabilities
• Familiarity with IM8 policies, GCC architecture, CI/CD pipelines
• Strategic thinking and decision‑making ability in AI and data contexts
• Excellence in stakeholder management and communication across technical and non‑technical audiences
• Data‑driven approach to problem‑solving
• Action‑oriented mindset with focus on AI innovation
• Innovation‑focused approach
• Growth mindset and continuous learning attitude towards emerging AI technologies

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