Lead Product Manager

Sanderson-iKas Singapore; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Sanderson-iKas Singapore is seeking an experienced AI-focused Product Manager to drive product strategy and lead discovery for AI-driven transformation. You will collaborate with engineering, data and business teams to translate complex requirements into actionable roadmaps and measurable outcomes.

The role requires strong stakeholder management, systems thinking and deep knowledge of AI/ML technologies, including LLMs, RAG and computer vision.

Qualifications

• At least 10 years of Product Management experience in complex technology platforms or AI-driven transformation.
• Strong understanding of AI/ML technologies, particularly LLMs, RAG, agentic workflows and Computer Vision.
• Ability to engage in technical and architectural discussions with engineering teams.
• Strong systems thinking and ability to connect business strategy with technology execution.
• Proven ability to influence senior stakeholders and drive alignment across cross-functional teams.
• Excellent product discovery, prioritisation, communication and stakeholder management skills.

Responsibilities

• Drive AI product strategy, identifying opportunities to solve business challenges and deliver measurable outcomes.
• Lead product discovery to understand user needs, business workflows and opportunities for AI-driven transformation.
• Define problem statements, success metrics and prioritisation frameworks before committing to technology investments.
• Assess and prioritise AI opportunities based on business impact, feasibility, data readiness, scalability and risk.
• Drive AI initiatives from discovery and experimentation through to implementation, adoption and continuous improvement.
• Partner with engineering, data and business teams to translate complex requirements into product strategies and roadmaps.
• Identify opportunities to develop reusable AI capabilities and scale solutions across business functions.
• Champion responsible AI practices, governance and outcome-driven product development.

Skills

Product management

AI/ML knowledge

Stakeholder management

Systems thinking

Technical collaboration

Cross-functional leadership

Job description

Join a mission-driven team tackling complex technology and business challenges through product innovation and AI-driven transformation.

What You'll Be Working On

• Drive AI product strategy, identifying opportunities to solve business challenges and deliver measurable outcomes.
• Lead product discovery to understand user needs, business workflows and opportunities for AI-driven transformation.
• Define problem statements, success metrics and prioritisation frameworks before committing to technology investments.
• Assess and prioritise AI opportunities based on business impact, feasibility, data readiness, scalability and risk.
• Drive AI initiatives from discovery and experimentation through to implementation, adoption and continuous improvement.
• Partner with engineering, data and business teams to translate complex requirements into product strategies and roadmaps.
• Identify opportunities to develop reusable AI capabilities and scale solutions across business functions.
• Champion responsible AI practices, governance and outcome-driven product development.

What We're Looking For

• At least 10 years of Product Management experience, with a track record in complex technology platforms or AI-driven transformation.
• Strong understanding of AI/ML technologies, particularly LLMs, RAG, agentic workflows and Computer Vision.
• Ability to engage in technical and architectural discussions with engineering teams.
• Strong systems thinking and ability to connect business strategy with technology execution.
• Proven ability to influence senior stakeholders and drive alignment across cross-functional teams.
• Excellent product discovery, prioritisation, communication and stakeholder management skills.

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086