Meta

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.

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.

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.

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.

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.

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.

Product Manager for Meta's Infrastructure organization, focusing on scaling compute infrastructure to support social media products and AI initiatives. The role involves planning and optimizing infrastructure resources, setting capacity targets, and driving cross-functional teams to meet demand. It requires partnering with product teams across Meta's platforms to align investment decisions with business outcomes during a period of rapid AI growth.

Meta is seeking a Supply Chain Engineer to optimize operations and planning for its infrastructure supply chain (servers, data centers, network). The role involves building software and mathematical optimization models to balance capacity, flexibility, and cost, working cross-functionally with engineering and business teams. Responsibilities include owning supply chain planning, designing software improvements, developing analytical models, and managing escalations. Qualifications include a technical degree, 6+ years in modeling/optimization, 3+ years in coding (Python, R, etc.), and 3+ years in supply chain management. Experience with infrastructure operations, AI/automation tools for planning, and data center supply chains is preferred.

Seeking a Product Quality Engineer to develop and implement manufacturing and quality processes for next-generation Networking hardware products. Responsibilities include ensuring product and process quality targets, driving root cause analysis for failures, engaging with engineering teams on DFx requirements, and creating production documentation. Requires a Bachelor's or Master's degree in a related technical field and 10+ years of experience in manufacturing and test for Network Hardware products.

Meta is seeking a Staff Thermal Engineer to lead thermal architecture and new product introduction (NPI) efforts for large-scale data center infrastructure. The role involves defining thermal strategies for next-generation server platforms, custom silicon, and high-density rack systems, and driving thermal design from concept through mass production. Collaboration with silicon, mechanical, electrical, and manufacturing teams is key to ensure thermal performance, reliability, and manufacturability at scale.

Meta is seeking a Power Electrical Engineer to design, develop, and integrate electrical systems for consumer hardware. This role involves schematic design, board layout, hardware bring-up, debugging, and collaborating with cross-functional teams throughout the product lifecycle, from prototyping to large-scale deployment.

Meta is seeking a Data Center Electrical Engineer experienced in the design and operations of critical facilities to become part of their design engineering team. The role involves developing concepts for new data center electrical power system technologies, leading design and development, collaborating with vendors for equipment selection and procurement, and evaluating new power technologies. Qualifications include extensive hands-on design experience, familiarity with electrical power simulation software and industry standards, and cross-disciplinary knowledge of data center electrical systems.

Electrical Engineer responsible for designing, developing, and integrating electrical systems for consumer hardware and large-scale infrastructure. The role involves full product lifecycle management, from prototyping to deployment, and collaboration with cross-functional teams. While the role does not primarily build AI models, it requires integrating AI tools to optimize workflows and adhering to responsible AI practices.

Meta's Infrastructure Hardware team is seeking a Technical Sourcing Manager to lead strategic sourcing for DRAM and SSD memory technologies that power Meta's global data center fleet. The role involves defining and executing long-term supply strategies, partnering with silicon vendors and internal engineering teams, and operating at the intersection of semiconductor technology roadmaps and large-scale sourcing strategy.

Manufacturing Technical Manager responsible for developing and executing manufacturing process flows, line layouts, and equipment plans through the NPI cycle. Accountable for key manufacturing metrics like yield, cycle time, and efficiency, and drives failure analysis and corrective actions. Requires strong technical, program management, and leadership skills, with collaboration across cross-functional teams and Asia-based manufacturers. The role also involves integrating AI tools to optimize workflows and adhering to ethical AI practices.

Meta is seeking a Preconstruction Manager for their Data Center Design, Engineering, and Construction organization. This role involves managing large-scale commercial agreements, procurement, budgets, scheduling, constructability, and negotiation of mission-critical projects from design kick-off through construction start. The manager will lead program management alignment, reporting, bid leveling, and interface with engineering and supply chain teams. While the core role is in construction management, the posting explicitly mentions requirements for AI skill development and ethical AI practices, indicating an 'Exploring' AI maturity signal within the context of optimizing construction workflows.

Meta is seeking a Connectivity Engineer for their Data Center Design, Engineering, & Construction team. This role focuses on managing the full project life-cycle of telecommunication projects within data centers, ensuring they are executed on schedule, within budget, and to the specified quality. Responsibilities include project planning, control, forecasting, technical reviews, vendor management, and quality assurance. The role requires experience in data center, telecommunications, or construction project management, and a demonstrated ability to integrate AI tools to optimize workflows and develop AI skills.

Mechanical/Product Design Engineer responsible for driving the execution of complex projects, owning critical systems from concept to launch, applying subject matter expertise to develop strategy, mentor other engineers, and align solutions across multiple teams. This role requires navigating ambiguity, influencing program direction, and providing technical guidance.

This role focuses on driving new product partnerships for emerging technology and wearable products, involving deal negotiation, cross-functional collaboration with product, engineering, marketing, and legal teams, and navigating complex terms. While the role mentions integrating and understanding AI tools, its core function is business development and partnerships, not AI/ML development.