Software Engineering Manager II

About the role

Grab is Southeast Asia's leading superapp, and its Fulfilment Engineering team builds the technology that connects demand with supply across its services. As Software Engineering Manager II, you will lead a team of software engineers responsible for building and operating critical fulfilment capabilities, creating the conditions for reliable outcomes and growing strong technical leaders. You will report to the Senior Software Engineering Manager.

Key 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, managing dependencies and risks.
• Work with senior engineers on technical direction, architecture and engineering trade-offs.
• Improve the reliability, scalability, security, observability and cost efficiency of the team's systems.
• Establish engineering practices covering design reviews, testing, deployment, incident response and continuous improvement.
• Create an inclusive environment with clarity, psychological safety and meaningful ownership.
• Attract, assess and retain engineering talent, and contribute to hiring and talent development.
• Communicate progress, risks and decisions clearly to technical and non-technical stakeholders.

Required profile

• 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.
• Demonstrated ability to deliver complex initiatives involving multiple teams and stakeholders.
• Experience coaching engineers, managing performance and supporting career development.

Required skills

• 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 such as hallucinations, data privacy, security, reliability, latency and cost.
• Strong foundation in backend engineering, distributed systems, APIs, databases and cloud infrastructure.
• Strong written and verbal communication, including explaining technical and AI trade-offs.

What we offer

• Term life insurance and comprehensive medical insurance.
• Parental and birthday leave, plus volunteering leave.
• A confidential assistance programme for you and your loved ones.
• FlexWork arrangements such as differentiated hours.