Top Tech Jobs & Startup Jobs

As a City Manager at Grab, you will manage a team, build relationships with high-profile merchants, understand market dynamics, and drive revenue through effective business strategies. Your role will involve operational oversight, ensuring the delivery of quality services, and collaborating across various teams to enhance merchant experiences and achieve growth goals.

As a Software Engineer for the IOS driver app at Grab, you'll design and develop mobile components, optimize performance, and collaborate with backend and product teams. You'll also participate in code reviews and maintain application stability, directly impacting driver partners' efficiency.

Lead complex mobile application development projects and collaborate with product managers and engineering teams to design, build, and optimize APIs and mobile components. Engage in performance analysis, participate in code reviews, and debug production issues to ensure service stability.

The Senior Data Scientist (Recommendation) at Grab will develop machine learning models to enhance consumer recommendation experiences, leveraging big data for insights and product improvements. Responsibilities include implementing algorithms, conducting A/B tests, and collaborating with stakeholders to visualize results.

The Principal Product Manager will define and drive the product strategy for internal tools and data platforms at Grab, focusing on improving efficiency and collaboration. This role entails collaborating with cross-functional teams to gather requirements, prioritize projects, drive adoption, and oversee product launches, while communicating effectively with stakeholders.

As a Software Engineer on the Polaris team, you will design and write software in Go, contributing to the registration and authentication system tailored for Southeast Asian markets. You will collaborate with other engineers and teams on code reviews, debugging, and optimizing services for increased performance and scalability.

The Senior Data Scientist (Analytics) will support product teams by providing data-driven insights, designing experiments, identifying trends, analyzing data with statistical techniques, and collaborating with stakeholders to inform product decisions. Responsibilities include launching A/B tests, developing data pipelines, and creating data models to enhance product features and drive effective decision-making.