Lead Product Manager, Ad Serving & Ranking, Demand and Ads Team
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Requirements
- Industry Context: Experience with ads in marketplace driven apps like services, food delivery, or e-commerce.
- Regional Familiarity: Experience building products for diverse user bases in Southeast Asia.
- 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 life's challenges.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
- What We Stand For At Grab
Benefits
Additional Information
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: Strengthen serving capabilities required to operationalize new strategies and unlock dynamic ad products (latency, reliability, targeting/eligibility logic, and measurement readiness). Cross-Border Leadership: Drive the product strategy for ad yield and auction dynamics by acting as a bridge between our tech hubs in Beijing and Singapore. Examples of Initiatives You May Lead Strategy Launch: Iterate on conversion-based and reach-based bidding strategies, including strategy selection/ranking improvements and safety guardrails. Pacing Enhancements: Build sophisticated pacing controls (smoother spend, better budget utilization, reduced end-of-day volatility) to improve revenue capture and merchant satisfaction. Yield Optimization: Improve marketplace yield via auction mechanics and serving improvements that increase the effective delivery of eligible demand. What Essential Skills You Will Need Experience: 7-10+ years of product management experience (or equivalent), with a proven track record of owning high-scale optimization systems (e.g., ads, marketplaces, pricing, or recommendations). Ad-Tech Depth: Demonstrated ability to drive outcomes in at least two of the following areas: auction mechanics, bidding/pacing/budgets, ad serving, ranking/optimization models, or complex experimentation. Strong Product + Quant Orientation: Comfort shaping strategy using data, designing rigorous experiments, and making high-stakes trade-offs across revenue, efficiency, and marketplace health. Technical Communication: Capacity to convey complex concepts-such as bidding logic or algorithm changes-to diverse technical and non-technical audiences. Global Collaboration: Experience working with distributed teams across different geographies; English is our primary working language.
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