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 Scientist role focused on shaping people-facing and business-facing products across Meta's applications. The role involves using technical skills, analytical mindset, and product intuition on large datasets to identify and solve product development challenges, influence product strategy, and guide teams with data-driven insights. The role requires experience with AI tools for workflow optimization and adherence to ethical AI practices.

Product Manager for Meta's Ad supply personalization on FB App, focusing on predicting user engagement and optimizing ad value using ML-based personalization, ranking, or recommendation services within ad-tech.

This role is for a Data Engineer focused on building and optimizing large-scale data solutions and models to support product development and user experience across Meta's applications. The role involves data architecture, ETL, data modeling, logging, and influencing product decisions through data-driven insights. While not directly building AI models, the role is expected to integrate AI tools to optimize workflows and adhere to ethical 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 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.

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 team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily — solving problems at a scale few others face.

Seeking a principal engineer to lead teams in building cutting-edge products, manage complex technical problems, and drive technical strategy and roadmap for large cross-company efforts. The role involves integrating AI tools to optimize workflows, implementing responsible AI practices, and staying current with emerging AI technologies.

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.

Meta is seeking an experienced Business Development Manager to identify, structure, and execute strategic partnerships that drive growth and monetization across Meta's products and platforms. The role involves working at the intersection of business strategy, product development, and external partner relationships, requiring deep expertise in deal-making, market analysis, and cross-functional leadership. The candidate will define and execute partnership strategies, lead end-to-end deal processes, and collaborate with various internal teams. Qualifications include 8+ years of experience in business development or related fields, a strong track record of closing complex agreements, and experience developing business strategies in fast-moving environments. The role also requires demonstrated ability to integrate AI tools to optimize workflows and drive impact, ongoing AI skill development, and experience with responsible AI practices.

This role focuses on driving cost reduction and operational efficiency in a contact center environment through data-driven process improvements, optimization of time-based metrics, and elimination of waste. The lead will analyze metrics, implement strategies to reduce operational expenses, identify automation opportunities, and optimize workforce planning. While the role mentions integrating AI tools and developing AI skills, its core function is operational efficiency and cost reduction within a customer service context, not the direct development or research of AI models.

This role focuses on product validation for consumer electronics, integrating hardware, software, and content. While the role involves using and developing skills in AI tools for workflow optimization and adhering to ethical AI practices, its core function is not the direct development or research of AI models or systems, but rather the validation of products that may incorporate AI components.

Client Solutions Manager for Meta's Global Business Group team, partnering with strategic clients to ensure their success on Meta platforms. This role focuses on building strategic partnerships, driving growth, advertiser education, and satisfaction through data-driven insights and consultative sales. The position requires experience with large datasets, cross-functional collaboration, and prioritizing tasks. While the role involves understanding and integrating AI tools for workflow optimization and ethical AI practices, its core function is client solutions and marketing strategy within the eCommerce domain.

This role is for a Commercial Sourcing Manager focused on network systems and infrastructure for Meta's global operations. The role involves developing sourcing strategies, managing supplier relationships, contract negotiation, and cost modeling. While the role mentions integrating AI tools to optimize workflows and adhering to ethical AI practices, the core function is supply chain management for hardware, not the direct development or deployment of AI models or systems.

This role focuses on public policy and government relations for Meta in the eastern U.S., specifically concerning technology policy issues like AI regulation. While the role involves leveraging and staying current with AI tools for workflow optimization and ethical AI practices, its core function is not building or researching AI models.

Meta is seeking a Product Design Engineer to lead the design and development of hardware systems for consumer electronics, data centers, advanced robotics, and more. This role involves owning mechanical architecture, solving complex technical problems, influencing technical strategy, and mentoring engineers. The ideal candidate will have extensive experience in mechanical design, a track record of delivering breakthrough products, and experience with the full product development lifecycle. While the core role is hardware engineering, there's an emphasis on integrating AI tools to optimize workflows and adhering to ethical AI practices.

The Network Site Investments Manager role at Meta focuses on securing physical sites for Meta's global network infrastructure, which supports AI workloads and applications. The role involves developing site acquisition strategies, negotiating datacenter partnerships, conducting market research, managing relationships with providers, and aligning investments with demand forecasts. While the role leverages AI tools for analysis and reporting and requires ongoing AI skill development, its core function is in network infrastructure and real estate acquisition, not direct AI/ML model development or deployment.

Meta is looking for a Network Engineer to manage enterprise network services for their physical sites globally. This role involves planning, deploying, and operating network infrastructure, leading incident response, and using AIOps and automation to improve reliability and efficiency. The candidate will also collaborate with vendors and internal teams, and advise on network matters.

Meta is seeking an experienced Data Center Site Selection Manager to lead data center acquisition and lease contracting negotiations. The role involves performing technical due diligence, managing supplier relationships, conducting market analysis, and contributing to organizational strategy. While the core role is not AI development, the candidate is expected to integrate AI tools to optimize workflows, adhere to ethical AI practices, and demonstrate ongoing AI skill development.

Data Scientist role at Meta focused on analytics, working with large datasets to solve problems using analytical and statistical approaches. The role involves quantitative analysis, experimentation, data mining, and presenting data to inform product strategies. It requires defining and testing opportunities to improve products, driving roadmaps through insights, and partnering with cross-functional teams. Requires a Master's degree in a related field and 2 years of experience including machine learning techniques, SQL, Python, and quantitative analysis.

Meta is seeking a Strategic Partnerships Manager to develop its global data center portfolio, focusing on AI infrastructure expansion. This role involves identifying and evaluating development partners, financial modeling, structuring and negotiating complex investment partnerships, and collaborating with cross-functional teams to meet capacity targets. The ideal candidate will have experience in large-scale deals, capital projects, and strategic thinking in ambiguous environments. A strong understanding of AI tools for workflow optimization, ethical AI practices, and ongoing AI skill development is also required.

Meta's Internal Audit Manager role focuses on leveraging technology, including AI tools, to conduct high-impact audits of Meta's products and infrastructure. The role involves leading audit engagements, developing scopes and test plans, executing technology-focused audits, and presenting findings to executives. While the role heavily involves auditing AI and using AI tools to enhance audit processes, the core function is audit management and execution, not the direct development or deployment of AI models or systems.

Meta is seeking a Manufacturing Test Engineer with a focus on automation to drive the development and deployment of hardware test systems with manufacturing partners. The role involves designing and deploying automation solutions, integrating robots and conveyor systems, programming PLCs and industrial robots, and ensuring system performance. The candidate will also integrate AI tools to optimize workflows and adhere to ethical AI practices.

This role is for a Manufacturing Technical Manager in the APAC region, responsible for developing and executing manufacturing processes for new products. While the role involves using and integrating AI tools for productivity and workflow optimization, its core function is not AI/ML development but rather manufacturing process engineering and program management. The role requires experience with AI tools for efficiency and ethical AI practices, but the primary output is a manufactured product, not an AI model or system.

Client Solutions Manager for Meta’s Global Business Group team partners with strategic clients to ensure their success with Meta's platforms. This role involves building relationships, acting as a consultative product expert, and advising on marketing strategies, media planning, creative, tech integration, and measurement for clients in Türkiye. The focus is on developing ROI-positive marketing strategies, driving growth through performance optimization, and implementing measurement & attribution solutions. Responsibilities include identifying and implementing marketing solutions, developing vertical expertise, crafting strategies and media plans, providing account management, project management with cross-functional teams, managing analytics and dashboards, advising on media and creative strategy, managing internal account operations, and optimizing campaigns. Qualifications include 5+ years of experience in customer acquisition or marketing/media/consulting, proficiency in Turkish and English, experience in digital advertising or consulting, data analysis skills (Python, SQL), collaboration skills, experience with digital media platforms and advertising metrics, leadership experience, project initiation, and workload management. The role also requires experience with business case modeling, market sizing, digital marketing measurement and attribution, cross-border commerce, and integrating AI tools to optimize workflows and adhere to ethical AI practices, including ongoing AI skill development.

Meta is seeking a Silicon Validation Firmware Engineer in Taipei, Taiwan, to design, develop, and validate complex silicon systems (ASICs, SoCs). The role involves collaborating with cross-functional teams, developing test plans, accelerating hardware verification and software development, debugging interfaces, and partnering with vendors. Qualifications include a Bachelor's degree in a relevant field, 6+ years of experience in silicon validation, experience with EDA tools and scripting, understanding of digital logic design, firmware flows, system debug, SoC architecture, and experience with computer vision and machine learning domains at a system integration level. The role also requires demonstrated ability to integrate AI tools to optimize workflows and adhere to responsible AI practices, along with ongoing AI skill development.

This role is a Director of Strategic Cloud Infrastructure Deals Finance at Meta. The primary focus is on financial and commercial modeling, structuring, and decision support for large-scale infrastructure investments, particularly in Cloud capacity. While the role involves working with teams supporting AI product rollouts and mentions integrating AI tools for workflow optimization and ethical AI practices, the core function is financial deal-making and strategic finance within the infrastructure domain, not direct AI/ML development or research.

The FP&A team manages Meta’s entire budget of revenue and expenses, overseeing our investments in headcount, operating expenses, and capital investments etc. We focus on using our unique view into ‘the numbers’ to determine trends and opportunities that are developing within Meta and within related industries. As Meta continues to push the boundaries of artificial intelligence, our data centers are at the forefront of this revolution. The FP&A team plays a critical role in fueling this growth by managing the financial planning and analysis for our Network Infrastructure investments. We're not just talking about numbers - we're talking about building the backbone of the future. In this high-stakes environment, we need a Finance Associate who can help us navigate the complexities of hyper- scaling our data center infrastructure. As part of our team, you'll be responsible for budgeting, tracking, reporting, and analyzing investments in capital expenditures and operating expenses specifically for our Network Infrastructure organization, with a focus on Data Center Networking. You'll work closely with leaders across multiple functional teams and business partners to drive financially sound outcomes and create long-term sustainable economic value for the company. As a key contributor to our growing Finance organization, you'll have the opportunity to make a significant impact on the future of Meta's AI capabilities. If you're ready to take on the challenge of a lifetime and join the frontlines of the AI capacity revolution, we want to hear from you.

Meta is seeking a Data Engineer with technical leadership experience to build and scale data foundations and analytics platforms. This role involves conceptualizing data architecture, creating ETL frameworks, designing data models, and collaborating with cross-functional teams to deliver data solutions that drive business impact. The role also requires experience with security, privacy, and governance, and influencing product decisions with data.

This role focuses on developing and deploying end-to-end calibration solutions for AR/VR tracking systems in a manufacturing environment. It involves hardware and software integration, robotics control, computer vision, and sensor fusion, with a secondary focus on integrating AI tools for workflow optimization.

Finance Manager for Meta's Infrastructure FP&A team, focusing on financial planning and analysis for Network Infrastructure Hardware investments that support Meta's AI initiatives. The role involves budgeting, forecasting, reporting, and analyzing capital and operating expenses, with an emphasis on supporting hyper-scaling data center infrastructure. The candidate will partner with cross-functional teams to drive financially sound outcomes and contribute to the future of Meta's AI capabilities.

This role is for a Privacy and Data Policy Manager at Meta in Dublin, Ireland. The primary focus is on strategic engagement and outreach with privacy and data policy stakeholders, involving proactive policy development, project management, and relationship building. While the role involves working with AI tools and ethical AI practices, the core responsibilities are in public policy and stakeholder engagement, not in building or shipping AI models or systems.

Meta is seeking a Network Engineer to deploy, configure, and manage production networks globally. This role involves working with various network technologies, troubleshooting protocols, and supporting network infrastructure. The position requires 4+ years of experience in large-scale network design and operation, with familiarity in scripting and automation. While the role is primarily network engineering, it also mentions integrating AI tools for workflow optimization and adhering to ethical AI practices.

Meta is seeking an experienced Connectivity Integration Lead to manage and ensure standardized builds, risk identification, and provide expertise in telecommunications design, standards, products, quality, operations, tooling, and vendor management for their data center infrastructure. The role involves supporting multiple data centers, ensuring project milestones are met, managing risks, and collaborating with cross-functional teams.

Meta is seeking an Energy Manager to manage data center energy supply, focusing on reliability, cost-effectiveness, risk management, and sustainability. The role involves navigating regulated and organized electricity markets, managing utility relationships, and developing global energy strategies. The ideal candidate will have experience in utility negotiations, energy supplier management, and working in various market types. Responsibilities include managing commercial relationships, participating in regulatory processes, negotiating agreements, and partnering with internal teams. The role requires a Bachelor's degree or equivalent experience, 7+ years in commercial energy issues, and experience representing business interests to stakeholders. While not an AI-focused role, the posting mentions integrating AI tools for workflow optimization and adhering to ethical AI practices.

Meta is seeking an experienced individual to support the development of cost-effective energy solutions for its data centers. This role involves contributing to the company's data center energy strategy, focusing on energy infrastructure arrangements through development stages. Responsibilities include supporting energy agreements, monitoring milestones, developing processes, and building relationships with internal and external partners. The role requires critical thinking about Meta's data center energy infrastructure.

Software Systems Engineer role focused on designing, building, and optimizing systems software for large-scale hardware infrastructure (servers, storage, networking, custom silicon) in Meta's production fleet. Responsibilities include developing tooling for hardware management, monitoring, and remediation, collaborating with hardware teams, and architecting automation frameworks. Requires 6+ years of experience in systems software engineering with C/C++/Python for Linux, large-scale infrastructure systems, and distributed systems.

This role is for an Area Schedule Lead in Meta's Data Center Design, Engineering, and Construction division. The primary focus is on technical schedule management and reporting for a portfolio of data center projects, aiming to optimize speed to market and mitigate schedule risks. While the role involves integrating and developing skills in AI tools for workflow optimization and ethical AI practices, the core function is project scheduling and construction management, not AI/ML development.

Meta is seeking a Preconstruction Manager to manage large-scale commercial agreements for mission-critical projects from site diligence through construction start. This role involves procurement, budgets, scheduling, constructability, negotiation, and program management alignment. The candidate will also integrate AI tools to optimize workflows and adhere to ethical AI practices.

This role is for a Preconstruction Manager in Meta's design, engineering, and construction organization. The manager will oversee large-scale commercial agreements, manage projects from site diligence to construction start, and ensure procurement, budgets, and schedules are handled effectively. While the role requires familiarity with AI tools for workflow optimization and ethical AI practices, its core function is in construction management, not AI/ML development.

Electrical Engineer role focused on designing, developing, and integrating electrical systems for Meta's consumer hardware products. Responsibilities include schematic and board design, feasibility studies, supporting manufacturing, and troubleshooting. Requires a Bachelor's or Master's degree in Electrical Engineering with 2+ years of experience, proficiency in design tools, and hands-on lab experience. Experience with various electrical subsystems and a willingness to learn and apply AI tools to workflows is mentioned.

Meta is seeking a Network Engineer to design and deliver network infrastructure solutions at scale for their global Edge/Backbone network and compute presence. This role involves contributing to space, power, cooling, and connectivity infrastructure design requirements within data centers and POPs, focusing on execution and delivery for North America and Latin America.