AI Product Management Intern - Data & Digital

Temasek Holdings

Singapore

On-site

SGD 13,000 - 20,000

Full time

14 days+

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Job summary

Temasek Holdings, a global investment company headquartered in Singapore, is offering a Product Management Intern role in the Technology group. The internship runs Jan–Jun 2027 and involves supporting the development and enhancement of internal AI products, collaborating with product managers, engineers and business stakeholders.

You will learn the product lifecycle from understanding user needs to testing and measuring outcomes, gain exposure to investment workflows and agentic AI technologies,

Qualifications

  • Pursuing a Bachelor's degree in Business, Computer Science, Information Systems, Engineering, or related field.
  • Interest in Product Management, AI, digital products, and tech solutions.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Able to commit full-time for 20 weeks (5 days/week) or part-time (4 days/week) preferred.

Responsibilities

  • Collaborate with product manager(s) to co-deliver digital initiatives relating to data, investment platforms and/or other digital initiatives
  • Be involved in the delivery phase of the product (scrum ceremonies, solutioning and ideation, backlog grooming) and co-own the product backlog
  • Translate business requirements into user stories with clear acceptance criteria
  • Support tracking and analysis of program metrics and user feedback to drive improvements
  • Own the evaluation loop for a product; build and maintain the golden test set and run eval cycles

Skills

Product Management
AI
Digital products
Data analytics
Stakeholder management
Communication

Education

Bachelor's degree in a relevant field

Job description

Temasek Holdings, a global investment company headquartered in Singapore, is offering a Product Management Intern role in the Technology group. The internship runs Jan–Jun 2027 and involves supporting the development and enhancement of internal AI products, collaborating with product managers, engineers and business stakeholders.

You will learn the product lifecycle from understanding user needs to testing and measuring outcomes, gain exposure to investment workflows and agentic AI technologies,

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