Lead Product Manager, Physical AI

GET TO KNOW THE TEAM

Grabs 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 tooling clear instructions incentives and reliable payments to ensure supply is productive and sustainable.
• Prioritize the platform for collection annotation labeling quality assurance and delivery. Partner with Engineering and Data Science to turn model feedback into improved data and workflows; leverage AI tools where they enhance research and execution.
• Build a roadmap with clear milestones and trade-offs. Work with Operations and country teams to assess field readiness visit sites resolve risks early and scale successful pilots.
• Partner with Legal Data Privacy Procurement and country stakeholders to address consent site and vendor terms data handling and cross-border delivery prior to scaling collection.

Qualifications :

WHAT ESSENTIAL SKILLS YOU WILL NEED

• At least 4 years of experience in product management or equivalent impact with ownership of a significant product from ambiguous opportunity through launch and iteration.
• Experience shipping an AI-native product where AI is central to the value proposition alongside fluency in training data evaluation and feedback loops.
• Experience building a multi-sided platform that connects customer demand field operations data quality and end-user experience.
• Commercial judgment in partner prioritization pricing incentives and unit economics with the ability to turn strategy into actionable product decisions.
• Ability to write clear product requirements and evaluate trade-offs across technical operational quality cost and time constraints.
• Experience working across Engineering Data Science commercial and operations teams including privacy and legal specialists to deliver a product responsibly.

GOOD TO HAVE

• Experience in embodied AI robotics world models egocentric or geospatial data or sensor-based collection.
• Experience with AI-lab partnerships annotation workflows or large-scale multi-country field operations.

Additional Information :

Life at Grab

We care about your well-being at Grab here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
• Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.

Remote Work :

No

Employment Type :

Full-time