AI Product Manager - Regional Operations & Growth

SHOPEE SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Shopee Singapore Private Limited is seeking an AI Product Manager to bridge Ops, Product, and R&D, delivering AI solutions end to end. You will shape high-impact use cases into clear requirements and drive them from concept to rollout, partnering with Ops and Product at key decision points.

You will measure AI performance, set evaluation frameworks, report outcomes to leadership, scale successful regional initiatives, and promote AI adoption through training and hands-on coaching across markets.

Qualifications

• Bachelor’s degree in Artificial Intelligence, Information Systems, Computer Science, or related field.
• 2+ years in AI analytics or product management.
• Experience in AI/automation projects, ideally with LLM-based solutions.
• Ability to translate business processes into product requirements.
• Strong analytical and data-driven approach; able to present to leadership.
• Excellent stakeholder management across Ops, Product, and technical teams.
• Builder mindset: curious, pragmatic, willing to experiment.

Responsibilities

• Deliver AI solutions end to end from concept to rollout with Ops partners.
• Define success metrics and evaluation frameworks for AI performance.
• Scale successful AI initiatives regionally and share best practices.
• Drive AI adoption through training, workshops, and change management.

Skills

AI product management

Stakeholder management

Analytical thinking

Communication

Data-driven decision making

Builder mindset

Education

Bachelor’s degree in AI/IS/CS

Masters degree (advantageous)

Job description

Shopee Singapore Private Limited is seeking an AI Product Manager to bridge Ops, Product, and R&D, delivering AI solutions end to end. You will shape high-impact use cases into clear requirements and drive them from concept to rollout, partnering with Ops and Product at key decision points.

You will measure AI performance, set evaluation frameworks, report outcomes to leadership, scale successful regional initiatives, and promote AI adoption through training and hands-on coaching across markets.