Product Manager for Cross-Meta Foundations APAC Products, focusing on commerce and creator monetization. The role involves defining product strategy, driving adoption, and scaling AI-native solutions and best practices across APAC markets. Key responsibilities include translating AI capabilities into product visions, developing AI strategies with evals and data strategies, and fostering experimentation and learning.

Meta is seeking experienced Software Engineers to build and improve cutting-edge consumer products, focusing on connecting people globally. This role involves developing innovative features, optimizing performance, and architecting scalable systems, with a strong emphasis on integrating and applying AI tools responsibly to drive impact and efficiency.

Software Engineer, Machine Learning role at Meta in Singapore, focusing on building cutting-edge products that connect billions of people. The role involves developing and shipping ML models at scale, integrating AI tools to optimize workflows, and staying current with emerging AI technologies. Requires experience in ML, recommendation systems, or AI, with a strong software engineering background.

Technical Program Manager for Business Engineering at Meta, focusing on driving advertiser-centric projects and integrating AI tools to optimize workflows and ensure ethical AI practices. The role involves managing cross-functional programs, developing project plans, mitigating risks, and aligning with engineering teams.

Meta is seeking a Capacity Planner in Singapore to develop and execute infrastructure capacity plans, provide technical expertise to leadership, analyze data for capacity decisions, and drive long-term capacity roadmap planning. The role requires extensive cross-functional collaboration, stakeholder management at executive levels, and experience with data center capacity planning. While the role involves integrating and using AI tools for workflow optimization and adhering to ethical AI practices, its core function is not AI/ML development.

This role focuses on driving high-leverage marketing initiatives across APAC for Meta, emphasizing cross-functional collaboration, end-to-end ownership, and measurable impact. A key aspect involves building and implementing AI-driven workflows to enhance speed and quality in marketing processes, requiring practical experience with AI tools and ethical AI practices.

Enterprise Technical Sales Specialist for Meta's Business Messaging Platform and AI capabilities in APAC. The role focuses on enabling clients to leverage AI for customer engagement, driving adoption of an agentic future. Responsibilities include technical solution design, prospecting, client relationship building, and collaborating with internal teams to unlock business value and achieve revenue targets. Requires extensive enterprise tech sales experience, understanding of AI tools, and ethical AI practices.

Meta is seeking an Enterprise Technical Sales Specialist for APAC to help clients leverage Business Messaging and AI capabilities for an Agentic future. The role involves direct sales, technical solutions architecture, and enabling clients to use Meta's platform and AI as a customer engagement solution. It requires prospecting, pipeline development, executive engagement, technical design, and closing business by presenting products as business solutions. The candidate will work with cross-functional teams to scale client-facing activities and build global playbooks. Responsibilities include designing technical solutions for an AI Agentic future, leveraging partners, demonstrating value propositions, building client relationships, and communicating client feedback internally. Qualifications include extensive enterprise sales experience, executive maturity, experience leading sales cycles, analytical problem-solving, autonomous operation, and demonstrated ability to integrate AI tools, implement ethical AI practices, and develop ongoing AI skills like prompt engineering and agent orchestration.

Meta is seeking an experienced engineer for their Data Center Production Operations team. The role involves supporting platform health, performing root cause analysis of complex technical issues, leading the introduction of new hardware, and driving corrective actions for hardware/software issues at scale. The candidate should have strong Linux and server hardware skills, with experience in areas like hardware repair, OS management, tooling, automation, and networking. The role also emphasizes using data analytics to optimize server uptime and utilization, and requires participation in on-call rotations. While not directly building AI models, the role requires integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development.

This role focuses on providing technical support and engineering assistance to Meta's global partners, particularly in areas like Fintech and Telecommunications. The engineer will manage integrations, troubleshoot issues, and collaborate with internal teams to improve products. While the role involves using and understanding AI tools for workflow optimization and adhering to ethical AI practices, its core function is partner support and integration, not direct AI/ML model development.

Meta is seeking a Network Engineer to design and deliver network infrastructure solutions for their global Edge/Backbone network and compute presence. This role involves supporting capacity expansion, developing infrastructure design requirements for space, power, cooling, and connectivity, and driving execution within global colocation spaces. The position is execution and delivery focused for the APAC region.

Meta is seeking a Lead Building Engineer for their Data Center Facility Operations team in Singapore. This role involves overseeing and maintaining critical systems in data centers, managing vendors, performing hands-on operations, and ensuring high levels of uptime, efficiency, and safety. The position requires extensive experience in diverse technical fields such as electrical, cooling, and building control systems, with a focus on operational excellence and compliance.

This role focuses on business development and strategic partnerships for Meta in the APAC region, specifically around monetization. The responsibilities include negotiating deals with various partners (including AI enablers and agentic partners), influencing early-stage product initiatives by providing business and commercial insights, and developing new ecosystems to drive revenue. The role requires strong negotiation, product strategy influence, and cross-functional collaboration skills, with a need to understand technology and data-driven decision-making.

Meta is looking for a Network Engineer to support their Edge and Network Services (ENS) Foundation NetOps team. The role involves managing hyperscale data center structured cabling, fiber connectivity, and IP networking to support field repair services. Responsibilities include incident response, change management, operations improvement, collaboration with internal and external teams, risk management, data assurance, and automation opportunities. The ideal candidate will have extensive experience in large-scale network operations and infrastructure.

This role is for a Data Center Production Operations Engineer responsible for maintaining server hardware and Linux systems in a large-scale data center environment. Key responsibilities include ticket resolution, root cause analysis, cross-functional collaboration, hardware repair, OS management, tooling and automation, networking, and technical project management. The role requires hands-on technical skills, problem-solving abilities, and experience with scripting and data analysis to ensure platform health and optimize efficiency.

Meta is seeking a Network Operations Engineer to support edge and network services. The role involves expertise in hyperscale data center cabling, fiber optics, and IP networking. Responsibilities include incident response, change management, driving operational efficiency, team leadership, risk management, information assurance, automation, and data measurement. The ideal candidate enjoys identifying root causes and learning new technologies.