Lead product manager, Customer Lifecycle Management at Kudo

Petaling Jaya, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI-Driven Personalization, Customer Lifecycle Management, Data Analysis, Experimental Design, Machine Learning, Technical Communication, Cross-functional Leadership, Growth Marketing, Strategic Planning

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 Grab is investing in AI-driven personalization to help active users get more value out of the platform over time. We're looking for a Product Manager to own this initiative end-to-end — from identifying the behaviors that matter most, to shaping how the system targets and rewards users, to measuring impact. You'll work closely with ML engineers and data scientists to build a system that continuously learns and improves. This is a high-ownership, IC role. You'll set the direction, partner closely with ML engineers and data scientists, and ship measurable consumer experience and business outcomes This role requires a blend of technical depth, the ability to connect consumer problems to technical solutions, and leadership skills to align cross-functional teams based in Beijing and Singapore. You will be based in our Malaysia office and work fully onsite. Critical tasks you will perform will include, Define the product strategy for driving long-term customer value through personalized engagement and rewards Partner with ML engineers and data scientists to build and refine the models that power targeting and personalization Own the measurement framework — designing experiments and metrics to prove impact and guide continuous improvement Qualifications What Skills we are looking for Experience: At least 5 years of product management experience (or equivalent), with a proven track record of building and scaling data-driven or AI-powered consumer products, ideally in personalization, growth, or lifecycle marketing. Strong Product + Quant Orientation: Comfort shaping strategy using data, designing rigorous experiments. AI Tool Fluency You use AI tools actively in your day-to-day work - to analyse, prototype, and accelerate decisions. You have intuition about where LLMs add value and where they fall short for CLM system. Technical Communication: Capacity to convey complex concepts to diverse technical and non-technical audiences. Global Collaboration: Experience working with distributed teams across different geographies; English is our primary working language 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 enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Lead the end-to-end strategy for AI-driven personalization to increase long-term customer value and engagement. Partner with ML engineers and data scientists to build targeting models and establish a measurement framework for continuous improvement.