Lead Product Manager, Ad Serving & Ranking, Demand and Ads Team at Kudo

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Ad-Tech, Auction Mechanics, Bidding Algorithms, ML-driven Ranking, Pacing and Budget Controls, Data Analysis, Experimental Design, Cross-functional Leadership, Marketplace Optimization, Ad Serving Performance, Technical Communication, Global Collaboration, Revenue Optimization, Strategic Planning, Quantitative Analysis

Industry

Software Development

Description

Company 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. Job Description 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. Qualifications 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. Nice-to-Haves 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. 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 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 We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Responsibilities

Lead the optimization of the in-house ad stack by advancing ML-driven bidding, ranking, and auction dynamics to increase revenue. Act as a strategic bridge between technical hubs in Beijing and Singapore to improve marketplace efficiency and ad serving performance.