Meta

This role focuses on transforming marketing operations by integrating AI agents and agentic workflows. The manager will deconstruct legacy processes, design human-to-agent interaction models, and lead the transition from manual execution to an AI-native architecture, optimizing campaign execution for efficiency and impact. While the role involves understanding and integrating AI technologies, its core function is in marketing operations and product management, not direct AI/ML model development.

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 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.

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.

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.

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.

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.

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.

Data Scientist role focused on quantitative analysis, data mining, and presenting data to inform product decisions and identify trends. The role involves partnering with Product and Engineering teams, and may include work on product operations, exploratory analysis, product influence, and data infrastructure. Requires a Master's degree and experience in quantitative analysis, data querying (SQL), scripting (Python), statistical software, applied statistics/experimentation (A/B testing), machine learning techniques, ETL, relational databases, large-scale data processing, and quantitative analysis techniques.

Meta is looking for a Product Policy Manager to provide policy guidance for GenAI products, focusing on free expression, risk mitigation, and compliance with regulations. The role involves collaborating with cross-functional teams, developing policies for multi-modal GenAI, and acting as an escalation point for policy issues. Experience in AI policy, technology policy, and developing policies for generative AI products is required.

This role is an Account Manager within Meta's Small and Medium Business Group (SMBG) sales organization. The primary focus is on leveraging AI-driven sales strategies to help businesses grow and transform. The role involves managing client accounts, identifying sales opportunities, educating clients on Meta's products, and collaborating with cross-functional teams. While the role utilizes AI tools and emphasizes AI skill development, its core function is sales and account management, not the direct building or shipping of AI models or systems.

Mechanical Design Engineer focused on electronics integration and packaging for robotics, with experience in AI tool integration for workflow optimization and ethical AI practices.

This role focuses on supply chain risk and resilience for infrastructure, requiring experience in risk assessment, network optimization, and cross-functional collaboration. While the role involves leveraging AI tools for optimization and adhering to ethical AI practices, its core function is not AI/ML development but rather supply chain management.

Operations Program Manager for Core Technologies in Reality Labs, responsible for end-to-end manufacturing operations at suppliers, from early architecture through launch. This role requires close collaboration with R&D, Engineering, Advanced Manufacturing & Test, Business Development, Sourcing, and external supplier teams. The role involves driving supplier readiness, leading bring-up and integration activities, managing ramp availability, and ensuring successful product launches. The candidate will assess and communicate program risks, participate in Engineering design discussions, and act as the Operations owner for partner decisions. Experience with consumer electronics manufacturing, semiconductor processing, and AI tools for workflow optimization is required.

This role leads schedule operations for a large-scale AI enabling infrastructure campus. It involves managing integrated master schedules, overseeing a team of schedulers, forecasting and mitigating schedule risks, and ensuring commercial accountability. The role requires expertise in project scheduling tools and practices, leadership skills, and experience with AI-enabled scheduling and ethical AI practices.

Product Marketing Manager at Meta to drive market requirements and go-to-market plans for Meta's advertiser solutions. Responsibilities include market assessment, influencing product development, evaluating risks, owning go-to-market strategy, and leading inbound/outbound marketing initiatives. Requires 10+ years of experience in tech marketing, product management, or consulting, with a strong understanding of digital advertising and AI tools. The role involves cross-functional leadership, analytical skills, and navigating ambiguity.

Network Engineer role focused on data center infrastructure, cable and fiber connectivity, and network deployment. The role involves using coding and automation to improve data center operations and processes, with a specific emphasis on integrating AI tools for workflow optimization and demonstrating ongoing AI skill development.

Program Manager for New Product Introduction (NPI) of AI, compute, storage, and network hardware in Meta's data center infrastructure. The role focuses on managing the supply chain organization to ensure on-time and on-quality delivery of hardware, involving cross-functional collaboration with engineering, manufacturing, and external partners. Responsibilities include schedule management, readiness, risk management, and communication. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

Product Growth Analyst role focused on driving growth for consumer products through data analysis, product ideation, and experimentation. Requires strong analytical skills, cross-functional collaboration, and experience with AI tools for workflow optimization and responsible AI practices.

Product Manager role at Meta focused on driving product vision, strategy, and roadmaps. The role involves working with cross-functional teams, defining product requirements, analyzing metrics, and integrating AI tools to optimize workflows and drive impact. Requires experience in full product lifecycle, ethical AI practices, and staying current with emerging AI technologies.

Meta is seeking a Senior Security Engineer to lead cross-organizational technical teams in solving complex security problems. The role involves driving engineering excellence, managing security risks, and integrating AI tools to optimize workflows while adhering to ethical AI practices. This position requires extensive experience in system design, threat modeling, risk assessment, and building engineered controls.

This role focuses on the electrical engineering and integration of sensor hardware for Meta's next-generation smart glasses. The engineer will be responsible for the end-to-end product development lifecycle of sensor solutions, from prototyping to mass production, collaborating with cross-functional teams and external partners. While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, the core function is hardware engineering, not AI/ML model development.

Meta is seeking a Product Manager to drive product initiatives across the company, working with cross-functional teams to innovate and execute. The role involves identifying opportunities, defining strategies and roadmaps, integrating user insights and data, and managing the full product lifecycle. 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 is for a Data Scientist focused on analytics and product strategy, collaborating with cross-functional teams to drive product development and user value. While the role involves using AI tools and adhering to ethical AI practices, its core function is not building AI models but rather leveraging data and analytics to inform product decisions and strategy.

Product Designer at Meta focused on creating user experiences for their consumer products. The role involves the full product development lifecycle, from ideation to launch, and requires collaboration with cross-functional teams. While not directly building AI models, the designer is expected to integrate AI tools into their workflow, adhere to ethical AI practices, and demonstrate ongoing AI skill development.

Product Designer at Meta responsible for shaping innovative user experiences across Meta's products. This role involves end-to-end product development, from ideation to launch, focusing on user experience, interaction, and visual design. The designer will collaborate with cross-functional teams and is expected to integrate AI tools to optimize workflows and adhere to ethical AI practices.

Meta Robotics Studio is seeking a Research Engineer to tackle challenging mechanical/electrical design problems for robotics, balancing ergonomics, performance, reliability, and usability while maintaining safety and quality standards. The role involves concept development, analytical modeling, prototype design, construction, and testing, with potential research into Electro-mechanics, Sensor and Communication, and/or Planning and Control. The engineer will also integrate AI tools to optimize workflows and adhere to ethical AI practices.

Product Manager role at Meta, focusing on driving product strategies and roadmaps, working with cross-functional teams, and defining product requirements. Requires 10+ years of PM experience, experience with full product lifecycle, and demonstrated ability to integrate AI tools and ethical AI practices.

This role is for a Software Engineer (Technical Leadership) on the Software Engineering (Infrastructure) team at Meta. The team builds large distributed components for Facebook, handling data storage, cluster coordination, and runtime environments. The role involves driving technical direction, communicating complex systems, assessing new technologies, leading long-term technical visions, and mentoring engineers. While the core function is infrastructure engineering, the role requires demonstrated ability to integrate AI tools to optimize workflows, implement responsible AI practices, and develop ongoing AI skills like prompt engineering and agent orchestration.

Product Manager at Meta responsible for driving AI-powered product initiatives, defining success metrics, prioritizing product problems, and coordinating with cross-functional teams. Requires experience integrating AI tools, implementing ethical AI practices, and demonstrating ongoing AI skill development.

Product Manager to lead and drive complex product areas, define product vision, develop roadmaps, and manage the full product lifecycle. This role involves working with cross-functional teams, analyzing data, and influencing strategy. A key aspect is integrating AI tools to optimize workflows and adhering to ethical AI practices, with an expectation of ongoing AI skill development.

UX Researcher focused on understanding user behavior and interactions with products, utilizing a variety of qualitative and quantitative research methods. The role involves collaborating with cross-functional teams to generate insights, evaluate designs, and contribute to product development. While not directly building AI, the role requires integrating AI tools into workflows, adhering to ethical AI practices, and developing AI skills.

Data Engineer role focused on designing, building, and optimizing large-scale data solutions and datasets for Meta's family of applications. The role involves collaborating with various teams to improve user experience and business strategy through data, with a strong emphasis on data architecture, modeling, ETL, and ensuring data quality and security. While the role mentions integrating AI tools and responsible AI practices, its core function is data engineering, not direct AI/ML model development.

Data Scientist role focused on shaping people-facing and business-facing products across Meta's applications by leveraging rich data sets, analytical skills, and product intuition. The role involves collaborating with cross-functional teams, using data to identify and solve product development challenges, influencing product strategy, and driving impact through data-driven storytelling and recommendations. The role requires a strong foundation in analytics, statistical approaches, and experience with data querying and scripting languages, with an emphasis on integrating AI tools for workflow optimization and adhering to ethical AI practices.

Data Engineer at Meta responsible for designing and building scalable data solutions across Meta's family of applications to optimize growth, strategy, and user experience. The role involves collaborating with software engineering, data science, and product management teams, managing data warehouse plans, implementing logging, designing data models and ETL processes, and ensuring data security and quality. The role also emphasizes using data to shape product development and communicate data-driven stories. While not core AI development, the role requires integrating AI tools to optimize workflows and demonstrating ongoing AI skill development.

Meta is seeking a Data Science Director to lead analytics efforts and drive data-informed decisions for their future platforms. The role involves people leadership, product leadership, guiding teams with data and insights, and communicating data-driven stories to influence partners. Responsibilities include leading and growing a distributed team of data scientists, applying quantitative analysis to shape product strategies, and contributing to technical vision. Qualifications include extensive experience in managing analytics teams, influencing strategy, and integrating AI tools responsibly.

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. The role involves owning back-end services, leading engineering teams, writing and reviewing code, debugging complex systems, and participating in on-call rotations. Qualifications include extensive experience in *nix, network fundamentals, coding in standard languages, configuring infrastructure applications, and knowledge of web technologies. A demonstrated ability to integrate AI tools to optimize workflows and drive impact, along with experience in responsible AI practices and ongoing AI skill development, is also required.

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. The role involves integrating AI tools to optimize workflows and adhering to responsible AI practices.

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. The role involves owning back-end and front-end services, infrastructure components, core services, and large-scale database deployments. Qualifications include experience with web technologies, internet service architectures, capacity planning, infrastructure applications, coding in a standard language, and Unix/Linux fundamentals. A demonstrated ability to integrate AI tools to optimize workflows, implement ethical AI practices, and develop ongoing AI skills is also required.

This role is for a Technical Program Manager at Meta, focusing on driving technical strategy and execution for company-wide platforms and services. The TPM will define goals, roadmaps, and functional requirements, collaborating with engineering and product teams to deliver measurable results. While the role involves integrating and developing skills in AI tools, it is not a core AI/ML craft role but rather a product management role that leverages AI.

Product Management Leader to innovate and execute product initiatives across Meta's consumer products, leading teams through ideation, development, and launch. Requires experience in building 0-1 products, platform/ecosystem products, or marketplaces, and integrating AI tools responsibly to drive impact.

Director of Product Management at Meta, leading teams to ideate, develop, and launch innovative consumer products. This role involves managing product leaders, defining product strategy, and ensuring successful product execution. The position requires experience in building 0-1 products and integrating AI tools responsibly to improve workflows and user satisfaction, with a focus on ethical AI practices and continuous AI skill development.

This role focuses on driving business growth for Meta's products through data-driven marketing strategies. While it heavily leverages AI tools for various marketing functions like audience research, personalization, and content development, the core responsibility is marketing strategy and execution, not the direct building or research of AI models themselves. The role involves analyzing data, designing programs, leading experiments, and working with cross-functional teams to achieve business outcomes. The emphasis on AI is on its application as a tool to enhance marketing efforts and drive efficiency/impact.