Lead Product Manager, Physical AI

Seoulstart; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Grab is seeking a Lead Product Manager for the Physical AI platform in Singapore. You will own the platform from pilot to scale, shaping product and business strategy while delivering high-quality data for embodied and egocentric AI across Southeast Asia.

This senior individual contributor role requires close collaboration with Operations, Partnerships, Engineering, Data Science, Legal, and Data Privacy teams across the region.

Responsibilities

• Set the platform strategy across lab demand, field collection, and data curation; define partner priorities, build-versus-partner choices, pricing, incentives, and unit economics.
• Work with AI labs and Partnerships to translate training needs into dataset specifications, quality criteria, delivery timelines, and service commitments.
• Own the collector experience, including field collection.

Job description

# Lead Product Manager, Physical AINew roles land in Following.Singapore, SGPosted 4 days agofulltimeApply on Grab's career page## Job description previewFrom Grab’s original postingJob Description: GET TO KNOW THE TEAM Grab’s Geo and IoT team builds the location capabilities behind our services. Our Physical AI initiative is building a platform for embodied and egocentric AI training data across Southeast Asia, connecting labs that need high-quality data with people who collect it in the field. GET TO KNOW THE ROLE You will own this platform from pilot to scale. As a senior individual contributor, you will shape the product and business strategy, build a trusted collector experience, and turn partner requirements into reliable, compliant data delivery. You will work closely with Operations, Partnerships, Engineering, Data Science, Legal, and Data Privacy, including teams on the ground across the region. This role is based onsite in Singapore. THE CRITICAL TASKS YOU WILL PERFORM • Set the platform strategy across lab demand, field collection, and data curation; define partner priorities, build-versus-partner choices, pricing, incentives, and unit economics. • Work with AI labs and Partnerships to translate training needs into dataset specifications, quality criteria, delivery timelines, and service commitments. • Own the collector experience, including field...