Software Engineering Manager II

Grab is Southeast Asia's leading superapp, offering various services such as food delivery, financial management, and transportation.

The Fulfilment Engineering team builds the technology that connects demand with supply across Grab's services, solving complex marketplace problems and supporting millions of transactions across Southeast Asia.

You will lead a team of software engineers responsible for building and operating critical fulfilment capabilities, creating the conditions for the team to deliver reliable outcomes, grow strong technical leaders, and translate product and business priorities into an effective engineering roadmap.

Responsibilities:

• Lead, coach, and develop a team of software engineers, setting clear expectations and individual growth plans.
• Partner with Product, Data Science, Analytics, and Operations to define priorities, roadmaps, and measurable outcomes.
• Own planning and delivery of the team's engineering roadmap, proactively managing dependencies and risks.
• Work with senior engineers to establish sound technical direction and make appropriate architecture and engineering trade-offs.
• Improve the reliability, scalability, security, observability, and cost efficiency of the systems owned by the team.
• Establish effective engineering practices covering design reviews, testing, deployment, incident response, and continuous improvement.
• Create an inclusive environment where team members have clarity, psychological safety, and meaningful ownership.
• Attract, assess, and retain strong engineering talent while contributing to hiring and talent development across Grab.
• Communicate progress, risks, and decisions clearly to technical and non-technical stakeholders.

Qualifications:

• At least eight years of software engineering experience, including designing and operating production systems at scale.
• At least two years of experience managing and developing software engineers.
• Hands-on experience building or integrating LLM and generative AI solutions, including model evaluation, prompt design, retrieval-augmented generation, and production monitoring.
• Understanding of AI system risks, including hallucinations, data privacy, security, reliability, latency, and cost.
• Strong foundation in backend engineering, distributed systems, APIs, databases, and cloud infrastructure.
• Demonstrated ability to deliver complex initiatives involving multiple teams and stakeholders.
• Experience coaching engineers, managing performance, and supporting career development.
• Sound judgement in balancing product delivery, engineering quality, reliability, and long-term maintainability.
• Strong written and verbal communication skills, including explaining technical and AI trade-offs clearly.

Benefits:

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex benefits package.
• Parental and Birthday leave.
• Love-all-Serve-all (LASA) volunteering leave.
• Confidential Grabber Assistance Programme.
• FlexWork arrangements.