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.

The Role

We are in search of an innovative Lead Product Manager to spearhead our Merchant Growth & Insights division, focusing on Insights and Growth as well as Business Performance Forecasting. This role calls for a strategic thinker who can harness predictive analytics and machine learning to provide actionable insights for our merchants. The chosen candidate will lead initiatives to enhance merchant planning through precise forecasting for staffing, inventory, and marketing. Your mission will be to transform our merchant services from reactive to proactive, providing a personalised and predictive experience.

Key Responsibilities

• 5+ years of AI/ML product management or related experience, preferably in advertising

• Experience managing products through the full life cycle: strategy, development, experimentation, launch, optimization, sunset. Experience launching a v1 product is a plus

• You have a practical understanding of modern machine learning and its components

• You are familiar with databases, SQL, and scripting languages

• You have experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, or other experience with rigorous Quantitative Analysis or Systems Software implementation.

• Champion the development of overarching strategies to bolster merchant success and generate actionable business insights.

• Spearhead initiatives to harness predictive analytics, contributing to the enhancement of operational and marketing efficiencies.

• Drive innovation in merchant services by advocating for a data-driven, personalized approach to merchant engagement and support.

• Explore and integrate advanced technologies to automate and refine customer interaction and support mechanisms.

• Collaborate with diverse teams to assimilate merchant insights, shaping the evolution of predictive tools and customization features.

• Manage the end-to-end product development process, ensuring that initiatives are both transformational and grounded in real-world merchant requirements.

• Define and monitor critical metrics that reflect the accuracy and impact of implemented strategies on merchant growth and platform performance.

The Must-Haves

• Over 5 years of product management experience, with a strong background in analytics, predictive modeling, and growth initiatives.

• Proven ability to develop and implement predictive analytics and machine learning solutions in a commercial environment.

• Adept at engaging with technical teams and leveraging technologies such as LLMs for practical business applications.

• Strong analytical and problem-solving skills, with the ability to translate data into actionable growth strategies.

• Excellent communication skills and the capacity to convey complex technical concepts to a diverse audience.

The Good-to-Haves

• Experience with designing and implementing LLMs, particularly for content generation and chatbot support systems.

• Familiarity with merchant service platforms and the ability to drive product differentiation through personalisation and predictive insights.

• A track record of managing and delivering projects that enhance user engagement and business performance.

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Equal opportunity

Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.

Recruitment agencies

Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.