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The Operations Assistant Manager at Grab will lead and manage a team of customer experience agents across voice and digital platforms. Key responsibilities include enhancing operational procedures, overseeing safety-related issues, monitoring performance metrics, providing training, and managing agent scheduling to ensure high service standards. They will also conduct audits and performance evaluations to align with company policies.

As a Senior Backend Engineer in the Payments team, you will improve product engineering vision, design backend components, conduct code reviews, implement features, and resolve production issues, ensuring optimal transaction experiences for users.

As the GS Operations Assistant Manager, you will lead a team of customer experience agents to enhance service delivery across voice and digital channels. Responsibilities include managing safety-related incidents, monitoring performance metrics, training agents, and conducting audits to ensure compliance with Grab's standards.

As an Account Executive Associate in the GrabFood Omnicommerce team, you will improve sales, close deals, and establish partnerships. Your role involves managing the sales process, providing after-sales support, resolving complaints, and maintaining client relationships. You will report to the Regional Manager and leverage networking opportunities to expand Grab's market presence.

Manage and enhance GrabRewards, a consumer loyalty program, through data-driven insights and strategic partnerships to drive customer engagement and transaction uplift. Collaborate with teams to implement insights into actionable solutions, and understand consumer behavior through research and analysis.

As a Software Engineer for the Mobile team, you will develop and enhance Grab's Driver App services using Java, Kotlin, and Flutter, improve app stability and performance, collaborate with backend teams, and ensure high development standards through code reviews and on-call rotations.

The Growth Data Scientist role involves orchestrating data science processes for performance marketing, designing SQL data pipelines, conducting statistical analyses, and integrating machine learning models. The position focuses on communication across teams, model development, and the execution of analyses or A/B tests to drive growth and optimization for Grab's services.