Principal Product Manager, AI Enablement
- Location
- Singapore, Singapore
- Work type
- On-site
- Employment
- Full time
- Department
- Product
- Category
- Product
- Salary
- Undisclosed
Get to Know the Team
The Technical Infrastructure team at Grab is a collective of engineers, product managers, designers, and technical program managers focused on the productivity, development velocity, and efficiency of fellow Grabbers who serve millions of users daily. Our platforms span AI Productivity, Experimentation, Data Platforms, and Machine Learning. We build and maintain the tools and platforms that let Grabbers work smarter and faster.
The Data & AI Platforms charter sits at the centre of Grab's AI strategy. We own the AI platform primitives that every product team builds on, and we run the frontier research that informs and augments business investments.
Get to Know the Role
We are looking for a Principal Product Manager to own AI enablement across Grab. In this role, you will obsess over driving impact for users by connecting platform capabilities with commercialization opportunities to ship AI-native products and enter new businesses. You will embed with internal teams as their AI product partner, broker the partnerships that turn primitives into products, and land the leadership alignment that funds new bets. A second mandate that runs alongside is acting as a Research PM for the team’s frontier AI work and connecting that research to commercial execution.
This is a Principal-level, senior-IC role. It demands sovereign product judgment across a wide surface – multiple business lines and a frontier research team – the seniority to influence Head-of-Product-level roadmaps, and the technical depth to be a credible partner to AI researchers. The model is the forward-deployed engineer applied to product management, with Grab's internal teams as the customers. You will report to the Head of Product, Data & AI Platforms.
The Critical Tasks You Will Perform
Roughly 70% of the role is enablement and commercial translation; the remaining 30% is research PM work and the playbook that makes enablement scale.
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