Hardware Electrical Engineer role focused on designing, developing, and integrating electrical systems for consumer hardware and large-scale infrastructure. The role involves full product lifecycle collaboration, schematic design, board layout, hardware bring-up, and debugging. A key aspect is the demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, along with ongoing AI skill development in areas like prompt engineering and agent orchestration, and adherence to ethical AI practices.

Director of Marketing Data Science at Meta, focusing on measurement, analytics, and strategy for marketing campaigns, including AI Marketing. The role involves leading a team, developing measurement frameworks, and collaborating with cross-functional partners. Requires advanced experience in data querying, scripting, statistical software, and marketing analytics, with a strong emphasis on using AI tools and transforming organizations to be AI-Native.

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 is for a Channel Enablement Manager at Meta Reality Labs, focusing on the retail strategy for AI Smart Glasses in India. The manager will oversee third-party retail channels, manage field sales staffing, lead retail display initiatives, and ensure product visibility in stores. While the role involves integrating and utilizing AI tools for workflow optimization and adhering to ethical AI practices, its core function is in retail operations and sales enablement, not direct AI/ML model development or research.

Meta is seeking an Enterprise Technical Sales Specialist in Hong Kong to help clients leverage Business Messaging and AI capabilities for an Agentic future. The role involves direct sales, technical solutions architecture, prospecting, and enabling clients to use Meta's platform and AI as a customer engagement solution. It focuses on mid and large-sized clients in APAC, requiring extensive enterprise and technical design sales experience, particularly in SaaS growth and consultative sales. Responsibilities include designing technical solutions for an AI Agentic future, leveraging partners, demonstrating value propositions, building client relationships, and working with cross-functional teams. Qualifications include 10+ years of enterprise sales experience, executive maturity, sales cycle leadership, large-scale systems experience, fluency in Mandarin and English, a Bachelor's degree, and demonstrated ability to integrate AI tools ethically and develop AI skills.

This role is for a Strategic Partner Manager focused on Business Messaging at Meta. The primary responsibilities include advising partners on business growth, identifying market opportunities, collaborating with cross-functional teams, driving product adoption, and evangelizing Meta's marketing products. While the role involves understanding and integrating AI tools for workflow optimization and adhering to ethical AI practices, its core function is not AI/ML development but rather business development and partnership management within the digital marketing landscape.

Meta is looking for an Enterprise Technical Sales Specialist in Indonesia to help clients leverage Business Messaging and AI capabilities to achieve an Agentic future. The role involves direct sales, technical solution architecture, and enabling clients to use Meta's platform and AI as a customer engagement solution. The ideal candidate has extensive enterprise and technical design sales experience, preferably in SaaS growth, and can prospect, develop pipelines, engage executives, design technical solutions, and close business by presenting products as business solutions. Responsibilities include identifying and designing technical solutions for an AI Agentic future, leveraging advanced engineering resources and strategic partners, bridging business and technical conversations, developing compelling value propositions, building client relationships, and communicating client feedback internally. Qualifications include 8+ years of enterprise sales experience, executive maturity, experience leading sales cycles, analytical and problem-solving skills with large-scale systems, autonomous operation across teams, fluency in Bahasa Indonesia and English, and demonstrated ability to integrate AI tools responsibly and ethically, with ongoing AI skill development in areas like prompt engineering and agent orchestration.

Software Engineer specializing in database internals to drive the technical direction of MySQL infrastructure, including storage and replication layers. The role involves architecting enhancements for AI workloads, solving complex database challenges, and leveraging AI tooling to optimize performance and development workflows. This position requires deep database expertise and leadership in defining multi-year technical strategy.

Meta is seeking an EMEA Agency Lead to drive revenue and product adoption through consultative sales and strategic partnerships with media agencies. This role involves identifying growth strategies, developing scalable programs, and ensuring high levels of customer service. The position requires extensive experience in marketing, sales, and agency relations, with a focus on leading change and influencing within a matrixed organization. While not a core AI building role, it requires demonstrated ability to integrate AI tools for workflow optimization and adhere to ethical AI practices.

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.

Meta Robotics Studio is seeking a Prototype Process Engineer to support a cross-functional product design team, focusing on hands-on assembly, process development, and prototype build setup. The role involves integrating AI tools to optimize workflows and adhering to ethical AI practices, with a need for ongoing AI skill development in areas like prompt engineering and agent orchestration.

Meta is seeking a User Experience Researcher to join their UX Research team. This role involves understanding user behavior and needs to inform product development. The researcher will design and execute primary research using various qualitative and quantitative methods, collaborate with cross-functional teams, and translate findings into strategic narratives. The role also requires integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development. Experience with consumer products and AI-powered workflows is preferred.

The Commercial Sourcing Manager, Silicon, will be the lead commercial contact for AI & compute silicon/SOC sourcing, developing optionality on sources of supply. Responsibilities include identifying AI silicon availability, developing negotiation and sourcing strategies, partnering with Finance & Hardware Engineering on roadmaps, and driving strategic sourcing decisions. The role involves complex negotiations, supply chain risk assessment, exploring innovative structures like joint development and IP licensing, and managing total landed cost. The candidate will maintain knowledge of AI/CPU silicon trends, develop commodity sourcing strategies, build supplier relationships, provide expertise to design engineering, drive RFPs, resolve commercial queries, and support product transfer. Qualifications include a BS degree, 10+ years of business/supply chain experience in data center/cloud/compute/AI hardware, proven strategy-to-execution ability, strong influencing and negotiation skills, experience in cross-functional environments, in-depth understanding of SOC supply chain 'should cost', C-suite interaction experience, and demonstrated ability to integrate AI tools for workflow optimization and adhere to ethical AI practices.

Meta is seeking a Senior Data Engineer specializing in Machine Learning to design, build, and optimize data warehousing and data pipelines. This role will focus on enhancing ML data infrastructure, supporting feed recommendations and ranking systems, and collaborating with ML engineers to develop analytics tools. The position requires a Master's degree and experience in data modeling, ETL, big data technologies, and data privacy.

Product Designer for Instagram on Meta's wearables portfolio (smart glasses, AR devices), owning mobile design end-to-end, contributing to design vision, and partnering with cross-functional teams. The role involves leveraging AI tools for design exploration and evaluation, designing AI-powered experiences, and implementing responsible AI practices.

Data Scientist role at Meta focused on product development, leveraging quantitative analysis, data mining, and machine learning to understand user interactions and inform product decisions. The role involves forecasting business trends and partnering with product and engineering teams.

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.

This role is for an Area Project Controls Lead for an AI enabling infrastructure campus. The lead will oversee cost controls, financial reporting, and commercial management, leading a team of analysts. The role requires strong leadership, communication, and analytical skills, with experience in construction project controls and integrating AI tools to optimize workflows and adhere to ethical AI practices.

Meta is seeking a Director to lead Enterprise Technical Sales for Business Messaging and AI solutions in LATAM. This role involves building and scaling a sales organization, driving adoption of AI products, and owning revenue goals. The Director will partner with Product and Engineering to deliver scalable solutions and transform client operations, focusing on Meta's Business Messaging platform including Agentic AI capabilities.

Meta is looking for an experienced Enterprise Technical Sales Manager to lead a consultative sales team focused on driving adoption of Business Messaging and AI capabilities for an Agentic future. The role involves building and coaching a sales team, managing revenue goals, developing client strategies, and collaborating cross-functionally to deliver scalable solutions. The ideal candidate has extensive enterprise sales and people management experience, with a proven track record in SaaS sales and a strong understanding of conversational and Agentic AI solutions.

Meta is looking for an Enterprise Technical Sales Specialist to help clients leverage Business Messaging and AI capabilities to achieve an Agentic future. The role involves direct sales, technical solutions architecture, and enabling clients to use Meta's Business Messaging Platform and AI as a customer engagement solution. The ideal candidate has extensive enterprise and technical design sales experience, preferably in SaaS growth and consumption, and can prospect, design solutions, and close business by presenting products as business solutions. The role requires strong sales, solutioning, and communication skills, and collaboration with internal teams.

Meta is seeking an Enterprise Technical Sales Specialist to help clients unlock the potential of Business Messaging and AI capabilities to achieve an Agentic future. The role involves direct sales, prospecting, solutions selling, and technical solutions architecture design, enabling clients to leverage Meta's Business Messaging Platform and AI as a customer engagement solution. The ideal candidate will have extensive enterprise and technical design sales experience, preferably in driving SaaS solutions growth, and will be responsible for prospecting, pipeline development, executive engagement, technical design, and closing business by presenting products as business solutions. The role requires influencing and communicating with top-level management, working with cross-functional teams, and demonstrating thought leadership to drive growth and scale client-facing activities. The candidate must be able to connect business and technical conversations, understand API, CRM/ERP integration, and whiteboard customer engagement platforms, and guide clients to optimal implementations. They should also possess demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, experience with ethical AI practices, and ongoing AI skill development in areas like prompt engineering and agent orchestration.

This role is a Technical Sales Specialist focused on selling Meta's Business Messaging Platform and AI capabilities to enterprise clients, enabling them to achieve an "Agentic future". The role involves direct sales, technical solution design, client relationship building, and driving revenue growth by presenting AI-powered solutions. While the role heavily involves AI concepts and tools, the core function is sales and product enablement, not direct AI/ML model development or research.

Meta is looking for an Enterprise Technical Sales Specialist in APAC to help clients leverage Business Messaging and AI capabilities for an Agentic future. The role involves direct sales, technical solution design, and driving adoption of Meta's AI-powered customer engagement solutions. The ideal candidate will have extensive enterprise sales experience, a consultative approach, and the ability to build client relationships and drive revenue growth by presenting AI solutions tailored to business needs.

This role is for an Enterprise Technical Sales Specialist focused on Meta's Business Messaging Platform and AI capabilities in the APAC region. The individual will drive sales, design technical solutions, and enable clients to leverage AI for customer engagement, aiming to transition them towards an agentic future. Responsibilities include prospecting, solution design, client relationship building, and working with cross-functional teams to achieve revenue targets and scale client-facing activities. The role requires extensive enterprise sales experience, technical design skills, and the ability to integrate AI tools responsibly.

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.

Network Engineer responsible for the deployment and support of production networks, including Edge, Backbone, Optical, and Datacenter networks. The role involves participating in the design, engineering, and implementation of large-scale data center networks, researching and deploying new technologies, and optimizing deployments. It also requires close collaboration with cross-functional teams and vendors, developing automation and tooling, and performing site visits. A key aspect of the role is leveraging AI tools to drive efficiencies, improve reliability, quality, and speed of deployments, and adhering to responsible AI practices.

This role supports Meta Robotics Studio by managing electrical components for prototype builds. Responsibilities include BOM transfer, demand forecasting, sourcing, identifying long-lead items, managing alternates, inventory readiness, and cross-functional collaboration. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

This role is for a Data Scientist within Meta's Products & Applied Research (PAR) team, focusing on applying AI research to large-scale consumer products. The primary responsibility is to use data analysis, experimentation, and predictive modeling to influence product strategy, identify opportunities, and drive product development. While the role involves integrating and developing AI skills, its core function is product analytics and strategy, not direct AI model development or research.

Meta is seeking a VP of Total Rewards to lead the enterprise strategy, design, and optimization of global compensation and benefits. This role will advise executives and the Board, manage strategic priorities in a competitive talent market, and evolve Meta's job architecture, including transitioning to AI-driven frameworks. The VP will oversee global compensation processes, sales incentive plans, and benefits programs, while building and developing a high-performing Total Rewards team. Experience with AI tools for workflow optimization and ethical AI practices is required.

Product Manager at Meta focused on AI-based applications and generative AI products. Responsibilities include driving product strategy, defining requirements, collaborating with ML teams, and managing the product lifecycle. Requires experience in product management, AI product strategy, technical architecture, and data analysis.

Network Engineer role focused on data center infrastructure, cable design, and fiber connectivity. The role involves automation and coding experience to improve data center operations and processes. It also requires integrating AI tools to optimize workflows and adhering to ethical AI practices.

This role focuses on competitive intelligence, leveraging advanced analytics, data science, and market strategy. The analyst will lead projects, influence product direction, conduct advanced analyses using 3rd-party datasets, develop statistical models, and synthesize insights. A key aspect is the proficient use and integration of AI-powered tools, including Generative AI (LLMs, AI agents), for automating data analysis, insight synthesis, and executing multi-step analytical tasks. The role requires strong skills in causal inference, Bayesian aggregation, and ethical data use, with an emphasis on shaping analytical foundations and driving business outcomes.

This role is for a Media Strategy Manager focused on planning and executing media campaigns for Meta's Reality Labs products (Wearables & Metaverse). While the role involves integrating AI/ML technologies into media strategies, planning, targeting, optimization, and measurement, its core function is media strategy and campaign execution, not the direct development or research of AI models themselves. The role emphasizes data-driven approaches, cross-functional collaboration, and driving business impact through innovative media strategies, including the responsible use of AI tools.

Meta is seeking an AI-native media leader to join their Global Media Team. This role will focus on developing people, processes, and tools to increase campaign effectiveness and improve execution. The ideal candidate will have deep knowledge of programmatic and data-driven media, experience demonstrating media effectiveness, and a proven track record of team leadership and cross-functional collaboration. The role involves understanding and optimizing channel effectiveness, creating quality improvements, partnering to innovate ad products, and influencing tool and analytics roadmaps. The candidate will embrace AI to drive execution, collaborate with leadership, and establish operational excellence. Responsibilities include assessing and improving channel/campaign effectiveness, defining KPIs, overseeing analytics, developing product/process improvements, establishing workflows, and identifying opportunities for automation and AI-powered tools. The role also involves assessing and implementing AI media solutions, driving adoption of new technologies, and monitoring industry innovations. Partnerships with Measurement, MarTech, Data Engineering, Creative, and Insights & Analytics teams are crucial, as is managing external vendors and agency partners. Team leadership and development are also key components, fostering innovation and operational excellence.

Data Scientist role focused on leveraging structured data to understand customer interactions, identify product improvement opportunities, and design/execute experiments. Involves data processing, modeling, and influencing strategic decisions through data analysis and communication.

Product Designer for Instagram Creators and Commerce, focusing on making shopping and discovery seamless, empowering creators to monetize, and developing quality experiences for billions of users. The role involves turning broad concepts into valuable products, driving product strategy, and designing end-to-end flows. Experience with AI prototyping, ethical AI practices, and integrating AI tools to optimize workflows is required.

Solutions Architect for Meta Reality Labs Sales Operations, focusing on designing and deploying AI-enhanced sales tools and systems. The role involves leveraging AI/ML to augment business intelligence, automate processes, and generate predictive insights to drive business growth and operational efficiency. Responsibilities include architecting scalable solutions, driving technical strategy, leading cross-functional programs, and championing AI-native approaches for sales processes and customer experiences, ensuring responsible AI adoption and integrating tools like prompt engineering and agent orchestration.

This role focuses on developing and advocating for AI policy positions, collaborating with cross-functional teams, and engaging with external stakeholders on AI governance, safety, ethics, and accountability. It requires a deep understanding of the AI policy landscape and experience in public policy within the tech industry.

Data Scientist role at Meta focused on building machine learning systems for user behavior analysis and powering production systems. Requires a Master's degree and experience in ML techniques, scripting languages, statistical analysis, large-scale data processing, and quantitative analysis.

Data Scientist at Meta focused on understanding customer interactions with product and service offerings using massive amounts of structured data. The role involves leading projects from data gathering to modeling and recommendations, partnering with cross-functional teams, designing and executing experiments (A/B testing), and communicating insights to business leads. Responsibilities include working with large-scale data infrastructures (Hadoop, Hive) and automating analyses using SQL and Python-based ETL frameworks.

Data Scientist at Meta focused on understanding user behavior and powering production systems with models. Responsibilities include quantitative analysis, data mining, partnering with product/engineering, defining metrics, building dashboards, and automating pipelines using SQL and Python. Requires a Master's degree and coursework/experience in machine learning, SQL, Python, and statistical analysis.

Meta is looking for a Technical Program Manager to develop and deploy high-impact retail technologies for their Reality Labs group. This role will manage the strategy, planning, and execution of product demos from prototype to end-of-life, working cross-functionally with internal teams, external partners, and retail stakeholders. The TPM will be responsible for defining technical requirements, creating training and documentation, managing budgets, selecting vendors, and ensuring the successful deployment and maintenance of retail demo and display technologies. A key aspect of the role involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

Data Scientist role at Meta focused on quantitative analysis, data mining, and building models of user behavior to inform product decisions and power production systems. Requires a PhD and practical experience in experimental design, data analysis, and applying ML/AI techniques.

Research scientist intern focusing on evaluating image quality in augmented reality (AR) displays by pioneering foundational research into how quality is perceived in see-through displays. The role involves designing and conducting psychophysical experiments and collaborating with interdisciplinary teams.

Meta is seeking a Data Scientist to apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with their products. The role involves mining large datasets, performing large-scale data analysis, developing data pipelines with automated machine-learning systems, building models of user behaviors, and partnering with Product and Engineering teams to solve problems and identify trends. The Data Scientist will also design and implement dashboards and reports, and inform product decisions through effective communication of results.

Data Scientist at Meta focused on analyzing user data to inform product development and identify trends. Responsibilities include data interpretation, quantitative analysis, and partnering with product and engineering teams. Requires a Master's degree and 4 years of experience in data management, ML, user engagement, and experimentation.