Grab

Technology

LeadProductManager,AdServing&Ranking,DemandandAdsTeam

$750–1250k ~AI est. Beijing, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Lead Product Manager, Ad Serving & Ranking, Demand and Ads Team at Grab. Skills: Ad Serving, Ranking, Marketplace Optimization. Own ads marketplace optimization loop. Evolve ML-driven bidding/ranking”

What You'll Achieve.

Step-change efficiency and yield; Evolve to optimization engine; Unlock incremental revenue; Maintain marketplace health; Improve marketplace efficiency; Improve strategy performance; Improve revenue capture; Improve merchant satisfaction; Improve marketplace yield

Industry & Context.

Technology
Problems you'll solve

Analytical; Data-driven decisions; Trade-offs

What They're Looking For.

Must Have

7–10+ years product management experience, Owning high-scale optimization systems, Drive outcomes in auction mechanics, Drive outcomes in bidding/pacing/budgets, Drive outcomes in ad serving, Drive outcomes in ranking/optimization models, Drive outcomes in complex experimentation, Shape strategy using data, Design rigorous experiments, Make high-stakes trade-offs, Convey complex concepts to diverse audiences, Work with distributed teams

Nice to Have

Experience with ads in marketplace apps, Experience building products for Southeast Asia

What You'll Do.

Own ads marketplace optimization loop

Evolve ML-driven bidding/ranking

Strengthen pacing and budget controls

Improve auction and serving performance

Unlock incremental revenue

Protect marketplace health

Deliver incremental ad revenue

Maintain ecosystem health

Partner with Data Science/ML Engineering

Evolve models and signals

Translate model improvements

Strengthen serving capabilities

Operationalize new strategies

Unlock dynamic ad products

Drive product strategy for ad yield

Drive product strategy for auction dynamics

Iterate on bidding strategies

Improve strategy selection/ranking

Build sophisticated pacing controls

Improve revenue capture

Improve merchant satisfaction

Improve marketplace yield

Increase effective delivery of demand

How You'll Work.

Team & Collaboration

Cross-functional teams; Distributed teams; Tech hubs

Communication Scope

Technical communication

Process & Methodology

Product strategy, Roadmap

Full Job Description

About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Role We are seeking a highly analytical and experienced Lead Product Manager to join our Demand and Ads Team. Your mission is to take a robust, scaled ads marketplace and step-change its efficiency and yield evolving it from strong operational maturity to a next-level optimization engine. In this role, you will be the driving force behind the optimization of our in-house ad stack, advancing our ML-driven bidding and ranking, strengthening pacing and budget controls, and improving auction and serving performance to unlock incremental revenue while protecting marketplace health. This role requires a unique blend of technical depth in ad-tech and the leadership skills to support and align cross-functional teams based in Beijing and Singapore. The Critical Tasks You Will Perform * End-to-End Ownership: Take full ownership of the ads marketplace optimization loop: from ML-driven bidding/ranking and auction dynamics, through pacing/budget controls, to ad serving performance that enables scalable monetization. * Revenue & Efficiency: Deliver incremental ad revenue via improved marketplace efficiency and strategy performance (e.g., better bid optimization, pacing, and conversion/reach outcomes) while maintaining ecosystem health. * Bidding, Ranking & Strategy (ML): Partner with Data Science and ML Engineering to evolve the models and signals that power bidding algorithms and strategy selection. Translate model improvements into measurable marketplace outcomes. * Ad Serving & Product Enablement: Str

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