Grab
Information Technology And Services
LeadProductManager
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Product Manager at Grab. Skills: AI-driven workflows, operational tooling, platform experiences. define and improve intelligent workflows. automation capabilities”
Industry & Context.
identify root causes; separate signal from noise; drive systemic improvements rather than symptom-level fixes
What They're Looking For.
Must Have
At least 8 years of product experience, mandatory hands-on experience shipping GenAI products across any domain, product intuition backed by data, ability to identify high-leverage problems and make sound trade-offs in ambiguous environments, Proven experience driving complex, cross-functional initiatives from problem discovery through delivery at scale, Ability to translate abstract strategy into clear product direction, roadmaps, and execution plans that teams can align around, Senior-level judgment and leadership, track record of influencing stakeholders, mentoring PMs, shaping product culture
What You'll Do.
define and improve intelligent workflows
automation capabilities
operational tooling across multiple business areas
Operate effectively in highly ambiguous problem spaces
rapidly iterating on product direction
and workflow design based on evolving business and platform needs
and business metrics to identify root causes
separate signal from noise
and drive systemic improvements rather than symptom-level fixes
and iterate quickly on new ideas and workflows
with a bias toward execution and experimentation
Stay ahead of industry trends in AI
and customer experience
and apply these learnings pragmatically to evolve internal capabilities
How You'll Work.
Team & Collaboration
Work closely with cross-functional teams; Lead large cross-functional initiatives involving engineering, operations, policy, analytics, design, and leadership stakeholders across multiple regions
Communication Scope
Clearly communicate product strategy, trade-offs, execution risks, and business impact to senior leadership and stakeholders, grounding discussions in data and customer outcomes
Process & Methodology
driving complex, cross-functional initiatives from problem discovery through delivery at scale, translate abstract strategy into clear product direction, roadmaps, and execution plans
Full Job Description
Life at Grab At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia. Get to Know the Team Grab is undergoing a major transformation in how customer and operational experiences are delivered across the ecosystem. As AI capabilities evolve, we are rethinking the future of automation, workflow orchestration, and intelligent operations to move beyond traditional processes toward more proactive and scalable experiences. We are looking for a Lead Product Manager to join our Product team in Vietnam to help shape this next phase of transformation across internal platforms and operational experiences. Get to Know the Role As a Lead Product Manager, you will lead highly ambiguous and strategic product initiatives focused on AI-driven workflows, operational tooling, and platform experiences. You will work closely with engineering, operations, design, data science, and platform teams to define scalable solutions that improve efficiency, decision-making, and user experience across the organization. This role requires a strong builder mindset, deep systems thinking, high execution velocity, and the ability to navigate ambiguity while driving alignment across multiple stakeholders. You will report to the Senior Product Leader and will be based onsite at the Grab Vietnam HCM Office. The Critical Tasks You Will Perform * Work closely with cross-functional teams to define and improve intelligent workflows, automation capabilities, and operational tooling across multiple business areas * Operate effectively in highly ambiguous problem spaces, rapidly iterating on product direction, operational models, and workflow design based on evolving business and platform needs * Use customer data, operational signals, and business metrics t
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