Design Producer - Human Interface Meta Platforms IncDesign Producer - Human InterfaceBurlingame, CAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. You will own end-to-end design across Meta's Reality Labs device portfolio, orchestrating cross-functional execution at high craft and speed.
Director, Technical Program Management - Meta Business AI Meta Platforms IncDirector, Technical Program Management - Meta Business AIMenlo Park, CAThey have experience navigating ambiguity, defining structure in evolving problem spaces, and delivering results in rapidly changing product areas; they are skilled at leading a team, developing and driving high-level strategy, and - equally - personally executing on critical workstreams, including technical analysis, program planning, and stakeholder coordination. They set the technical and execution bar for how fast, how good, how efficient, and how reliable the product is, and they build the analytical and communication backbone that enables Engineering, Data Science, Product, and leadership to make the right performance, efficiency, quality, cost, and capacity decisions.
Security Engineer - Security Risk Management Meta Platforms IncSecurity Engineer - Security Risk ManagementMenlo Park, CAWe are seeking a committed and experienced security engineer to join our Security Risk Management (SRM) team to help design and build solutions to: Drive better understanding of security risk and enable investment decisions through automation, monitoring, and tracking of Meta's security tools, systems, and controls. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Production Systems Engineer, Fleet AI Systems Meta Platforms IncProduction Systems Engineer, Fleet AI SystemsMenlo Park, CADrive interfacing with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures Contribute as a leading member of the team, owning and proactively creating experiments and tooling to detect and diagnose hardware/firmware/software health issues, in organized and collaborative efforts Develop test framework for large-scale test automation inside fleet during product development and after mass production Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log Develop and publish updates on resolutions and communicate findings internally Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders Develop visibility through data visualization and implement systemic solutions to hardware health issues Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously Develop robust, robust, well-documented practices practices for supporting hardware infrastructure at scaleBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of experience in hardware server system support, troubleshooting server architecture and components, analyzing, triaging, and solving systems level issues Expertise with Linux and scripting (Python or similar) 4+ years of experience in changing system configurations and measuring change impact, working through full lifecycle progressions of computer systems products 4+ years of experience engineering innovations in support of different server system/data center products Master's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years of experience working in a matrix organization, owning or driving initiatives as a leading contributor 8+ years of experience in production support at scale (e.g. - 10K storage servers and over 100K HDD) working through full system technologies 5+ years of experience in post-production, hyperscale environments, delivering solutions to complex systems issues 4+ years of experience supporting AI or HPC systems and/or related systems, at scale 4+ years of experience in full system technologiesMeta builds technologies that help people connect, find communities, and grow businesses.
Software Engineer, SystemML - AI Networking Meta Platforms IncSoftware Engineer, SystemML - AI NetworkingMenlo Park, CAPyTorch) Experience with NCCL and distributed GPU performance analysis on RoCE/Infiniband Knowledge of GPU architectures and CUDA programming Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) PhD in Computer Science, Computer Engineering, or relevant technical field Knowledge of ML, deep learning and LLM Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience in HPC and parallel computingMeta builds technologies that help people connect, find communities, and grow businesses. Providing technical leadership for the collective communication library development on Meta's large-scale GPU training infra with a focus on GenAI/LLM scalingBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Proven C/C++ and Python programming skills Proven track record of leading successful projects Experience leading cross-functional technical projects and communicating technical decisions to both technical and non-technical stakeholders Specialized experience in one or more of the following machine learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g.
QA Engineering Lead, Product Quality Assurance Meta Platforms IncQA Engineering Lead, Product Quality AssuranceMenlo Park, CAIn this role, you will set the vision for product quality across engineering organizations and drive it through complex, ambiguous programs that span multiple teams and geographic locations, for products that serve billions of people worldwide. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Program Manager, Assurance Meta Platforms IncProgram Manager, AssuranceMenlo Park, CAThe ideal candidate is an experienced trust & safety or security professional who can translate work across compliance and Product teams seamlessly and act as the connection point between Compliance, Product, Legal, Regulatory Offices, and the business, maintaining deep Integrity subject matter expertise. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Product Manager, Support Meta Platforms IncProduct Manager, SupportMenlo Park, CADefine and run evaluations (evals) to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams.8+ years of relevant industry experience with at least 3 years in Product Management Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences) Experience in a consumer focused technology company Experience leading cross-functional product team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals Experience managing a product through the full product lifecycle Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data Demonstrated proficiency using AI-enabled tools to build product artifacts Experience developing and scaling AI-native strategies including evals and data strategies across teams Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy Experience leading and motivating teams and influencing across an organisation Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels Experience identifying and hiring the right talent to build an AI-capable cross-functional team Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses. Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-levelling the effectiveness of the team.
Finance Manager, Infrastructure Data Center Meta Platforms IncFinance Manager, Infrastructure Data CenterMenlo Park, CARole includes various financial analyses focusing on both a short-term(1-2 years) and a long-term(8-10 years) timeframe Partner with business to build cost-effective and schedule-optimized strategies for future data center projects Perform analyses to provide ad hoc decision support, create total cost of ownership frameworks and reviews of key financial metrics Lead FP&A activities for the business including budgeting, forecasting, and long-range planning across CapEx, OpEx and headcount Drive reporting that includes financial performance, detailed reporting of key expense and other metrics, and executive level explanations of variances and trends Lead the preparation of financial analysis, commentary, and presentation materials for financial updates to finance leadership including the CFO Lead key initiatives to continuously improve and automate Meta's financial controls and operationsUnderstanding of infrastructure, semiconductor, telecom and/or related markets Experience building cross-functional relationships and partnering with senior leadership of organizations Analytical skills to translate large amounts of data into useful information Communication skills to tailor messaging as needed for audiences of varying levels of seniority and technical expertise Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Familiarity in Infrastructure and/or Data Center construction & operationsMeta builds technologies that help people connect, find communities, and grow businesses. You will serve as the key liaison between Finance and the Data Center team and oversee issues related to data center strategy, design, cost profile, financial reporting & forecasting, and planning, i.e., resource prioritization and business management related to Meta's multi-billion-dollar investments.
Internal Audit Manager, Product Risk Compliance Meta Platforms IncInternal Audit Manager, Product Risk ComplianceMenlo Park, CALead end-to-end AI-assisted product risk and compliance audit engagements, including scoping, risk assessment, fieldwork, and reporting across Meta's product portfolio Develop and execute audit test plans that evaluate controls over product development processes, regulatory compliance obligations, and product governance frameworks Apply critical thinking, data analytics and AI-assisted audit techniques to evaluate evidence, identify root causes, assess risk levels, and recommend control enhancements or process improvements Identify and evaluate emerging product risks, including risks arising from AI-integrated product features, algorithmic systems, and new product launches. You will be successful in this role if you can run AI-assisted audit engagements and have the ability to leverage data analytics and AI-integrated workflows to enhance audit coverage, improve testing efficiency, and surface risk signals across large product datasets.
HR Director - Infrastructure Software Meta Platforms IncHR Director - Infrastructure SoftwareMenlo Park, CADevelop and drive multi-year people strategies across multiple organizations that deliver company-wide impact, aligned to Meta's mission and business priorities Partner with senior leadership to identify and resolve critical organizational challenges - providing clarity, direction, and strategic alignment where ambiguity exists Design and cascade strategic communications that inform and influence across functions and externally Identify structural and capability gaps across organizations; build and maintain systems to measure and improve efficiency and effectiveness Build leadership bench and adjust organizational design through strategic talent movement to meet evolving business priorities Proactively detect execution risks and make decisions to resolve issues, including contingency planning and ending low-ROI initiatives Build high-performing teams through rigorous talent management, succession planning, and leadership development at scale Drive performance management, calibration, and engagement strategies; address performance issues promptly with fairness and support Form deep cross-functional partnerships; negotiate on critical people matters and serve as a sought-after advisor on strategic people decisions Model and champion AI as a core collaborator in HR workflows - mentor teams on responsible adoption and scale best practices across the function Structure work to maximize impact while minimizing cost; remove barriers and delegate effectively so teams move with speed and quality15+ years of experience in Human Resources Business Partnering, organizational development, or HR leadership, with 5+ years in a senior HRBP or HR leadership role supporting large, complex organizations Demonstrated experience developing and executing multi-year people strategies with company-wide or business-unit-wide impact Track record of managing through senior leaders (Directors, VPs) and influencing without direct authority at executive levels Experience supporting technology or infrastructure organizations at scale Experience supporting cloud computing organizations or hyperscale infrastructure environments Experience building and adjusting organizational structures, leadership bench, and succession plans Proven ability to identify systemic organizational issues and design scalable solutions across multiple functions Strong executive presence with experience designing and delivering strategic communications that influence senior audiences Experience using data and analytics to drive people decisions and measure organizational effectiveness Demonstrated ability to navigate ambiguity, assess complex variables, and provide clarity and direction in rapidly evolving environments Experience partnering across HR Centers of Excellence (Recruiting, Total Rewards, Learning & Development, Employee Relations, Legal) to deliver integrated solutions Certification in executive coaching, organizational development, or related disciplines MBA, Master's in Organizational Development, Industrial/Organizational Psychology, or related advanced degree Track record of driving organizational transformations or large-scale change initiatives Experience in high-growth, fast-paced technology environments Experience with AI tools and technologies in HR processes and decision-makingMeta builds technologies that help people connect, find communities, and grow businesses. This leader will shape and execute multi-year people strategies that drive company-wide impact, partnering directly with senior leadership to build high-performing, AI-fluent organizations.
Telecom Conveyance Engineer, Data Center Infrastructure Meta Platforms IncTelecom Conveyance Engineer, Data Center InfrastructureMenlo Park, CAYou will work directly with our Connectivity Systems Engineering team to ensure distribution infrastructure supports current and next-generation network architectures while also partnering closely with electrical, mechanical, controls, civil, architectural, and structural engineering teams to develop integrated multi-trade solutions that optimize for constructability, maintainability, and scalability. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director of Regional Development Meta Platforms IncDirector of Regional DevelopmentMenlo Park, CAGrow and lead the regional development program including identification and commercial structuring of development, site selection and capacity delivery opportunities to enable future data center capacity growth Collaborate with key leaders across design, engineering, construction, network, and legal to develop the strategic plan needed to execute against the company's aggressive capacity targets Guide team members on overall strategic approach to developing new capacity while mitigating risk and ensuring that sufficient contingency plans are in place Accountable for data center site selection and development within a defined geographic area within North America Focus on delivering cost effective capacity while optimizing for flexibility and optionality Represent Meta in meetings with executives from potential suppliers, governments, regulatory agencies, and other stakeholders Recruit, on-board, and mentor internal staff and ensure robust learning and career development Travel domestically and internationally as needed (25%+)15+ years of overall experience in industrial real estate, infrastructure and development space Proven track record of delivering large scale multi-party deals resulting in data center capacity delivery 8+ years experience managing regional programs and organizations Proven commercial leadership and negotiation experience on multi-variable, complex deals involving scalable land, energy,and third party data center capacity Proven track record of delivering large capital projects leveraging complex commercial structures Experience developing the vision in opening new markets and new channels for Data Center capacity delivery Strategic thinker with experience driving decision making in ambiguous environments with experience influencing high level stakeholders Analytical problem-solving skills, experience being effective in a fast paced, hands-on work environment, and have a track record of success leading projects and developing complex solutions across multiple stakeholders Competent collaborator and skilled cross-functional communicator Communication and presentation skills Proven track record of organizational leadership, including leading larger organizations and scaling teams during growth cycles Knowledgeable about and/or experience to quickly assess industry trends and headwinds, market opportunities, and the competitive landscape Meta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Network Production Engineer, Physical Network Meta Platforms IncNetwork Production Engineer, Physical NetworkMenlo Park, CAWe are looking for a network engineer with solid experience on structured-cabling/physical-infrastructure design to own Inside Plant (ISP) and Outside Plant (OSP) design for Backbone Points of Presence (POPs) and ILA (Inline Amplifier) huts. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Opto-Mechanical Engineer, Camera Meta Platforms IncOpto-Mechanical Engineer, CameraSunnyvale, CADesign camera module structures and packaging in CAD, including injection molded, RFPC, PCB, and other component parts Establish requirements for camera systems in collaboration with architects and system engineers Collaborate with the Product Design team to negotiate the camera module MCO and system interface requirements Interface directly with vendors and suppliers, ensuring manufacturability and quality Conduct rigorous tolerance analysis of camera module design and component parts Document engineering requirements and create detailed 2D manufacturing and inspection drawings Collaborate with reliability and supply chain teams to ensure durability and ramp-up for mass production Communicate technical information and complex concepts clearly across teams and stakeholders Travel domestically and internationally as needed for business and supplier engagementBS or higher in Mechanical Engineering, Optics, Physics, or related field 3+ years of proven experience designing miniature opto-mechanical modules or components for consumer electronics, such as AR/VR, mobile devices, or cameras Demonstrated expertise in mechanical design, encompassing proficiency in tolerance analysis. Proven experience to utilize 3D CAD modeling and drafting software packages Understanding of structural and thermal FEA, as well as material and adhesives properties Familiar with Active Alignment (AA) process for camera module assembly Experience with vendor interfacing and production methods Demonstrated design experience for mass production, including plastic injection molding and RFPC/PCB Experience collaborating across disciplines and managing projects from initial design to high-volume manufacturing Basic structural and thermal Finite Element Analysis (FEA) Experience with NX software Experience with consumer electronics camera and depth module design at leading tech companies Familiarity with optical simulation and ray tracing software (e.g., Zemax, Code V, LightTools)Meta builds technologies that help people connect, find communities, and grow businesses.
Finance Manager, Product Risk & Compliance Meta Platforms IncFinance Manager, Product Risk & ComplianceMenlo Park, CABuild and maintain financial models and forecasts for payroll-related expenses, including stock-based compensation Manage all FP&A facets of the Oracle EPM Workforce Planning module for forecasting and reporting Gather, consolidate, and analyze operating and financial results for all three financial statements, including preparing internal and external reporting deliverables and analyzing and explaining trends and drivers Support systems improvement efforts for financial reporting tools Assist with ad hoc strategic and operational projects as requiredDemonstrated ability to work independently and navigate ambiguity 6+ years of finance or financial planning and analysis experience Strong communication skills with the ability to synthesize complex data into a concise story to present to cross-functional partners Experience building dynamic financial models in Excel / Google Sheets Bachelor's Degree in Finance, Accounting, Business, or a relevant field Experience with Oracle EPM or similar financial systems Experience in accounting concepts and financial planning Advanced proficiency in financial modeling and data analysis tools Detail-oriented with experience multi-tasking and shifting priorities quickly under pressure and tight deadlines Data visualization and dashboarding Experience with financial statement analysis and a knowledge of corporate finance concepts Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience supporting financial planning during periods of rapid organizational or headcount growth Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience in data analytics, developing code, and/or forecasting (SQL, Python, R) Experience working at a leading technology, internet, or high-growth companyMeta builds technologies that help people connect, find communities, and grow businesses. Provide executives with clear insights into the drivers of business growth, risks, and opportunities Contribute to closing, forecasting, budgeting, and long-range planning cycles, including enhancing Meta's corporate model and coordinating with stakeholders on assumptions and inputs Develop tools to automate and streamline reporting, and create financial KPIs/metrics that help business partners and finance leaders make smart fiscal decisions.
Product Quality Engineer Meta Platforms IncProduct Quality EngineerFremont, CADrive manufacturing metrics (yield, throughput, cycle time, first-pass yield rate) across NPI and MP phases, tracking progress against established targets and escalating risks proactively Develop, validate, and implement manufacturing and test requirements for advanced compute and GPU systems from NPI through to mass production (MP) Evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets Drive hardware debugging efforts, contributing to the Major Issue List and executing root cause analysis and Failure Analysis and Corrective Actions (FACA) to resolve hardware issues and meet yield targets Travel internationally to supplier sites (up to 25%) to manage hardware validation, ensure compliance with test requirements, and maintain technical partnerships Partner with cross-functional engineering teams on power optimizations and performance tuning for compute and GPU systems during manufacturing validation Support the technical transition of products from prototype builds to high-volume manufacturing, contributing to technical discussions to resolve open design and test issuesBachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a relevant technical field, or equivalent practical experience 6+ years of experience in manufacturing engineering or a related field Experience in program and project management, supporting complex hardware products from NPI through to high-volume mass production (MPP) launch Working knowledge of hardware architecture with hands-on experience in the testing and validation of compute and GPU systems Background in process development, bring-up, and qualification, encompassing final assembly, test, and pack-out processes Experience partnering with stakeholder teams to drive alignment on technical decisions, through proposals, design reviews, or presentations Advanced degrees in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field Experience identifying and scoping ambiguous technical problems, defining actionable next steps, and driving resolution Experience working with international contract manufacturers Experience with data center hardware manufacturing at hyperscale Scripting of test cases for compute / storage / AI/ML servers and racks Experience with test automation frameworks and manufacturing execution systems (MES) Experience working within quality management systems such as ISO 9001 or in a hardware manufacturing environment Background in reliability engineering methodologies, including accelerated life testing and failure mode analysis Experience with GPU architectures, high-performance computing systems, or AI/ML infrastructure hardware Experience of proactively working on issues may not be clearly definedMeta builds technologies that help people connect, find communities, and grow businesses. As a Product Quality Engineer on the Hardware Engineering team, you will play a critical role in bringing next-generation AI/ML hardware from concept to mass production directly enabling the compute capacity that drives Meta's products.
ASIC Engineer, Design for Test Meta Platforms IncASIC Engineer, Design for TestSunnyvale, CAAs an ASIC Engineer specializing in Design for Test (DFT) on the Infrastructure Silicon team, you will architect and implement testability solutions for complex, high-performance ASICs deployed at scale across Meta's data center infrastructure. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Machine Learning Engineer (Technical Leadership) Meta Platforms IncMachine Learning Engineer (Technical Leadership)Menlo Park, CAYou will work on leveraging ML models to detect and enforce content to keep the platforms safe and create a better user experience across Meta's products - from payment fraud detection and click-through rate prediction to search ranking, content enforcement, and spam detection. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Director, RL Category & Go-to-Market Meta Platforms IncDirector, RL Category & Go-to-MarketBurlingame, CAIntegrate data and AI into planning and operations to sharpen forecasting, decision-making, and efficiency at scale.15+ years of experience in category management, go-to-market, retail or channel sales, or commercial strategy for consumer hardware, consumer electronics, or consumer packaged goods Experience leading category and channel strategy and execution across first-party, third-party retail, carrier, and direct-to-consumer channels Experience leading sales operations, business planning, or revenue operations, including planning, forecasting, performance reporting, partner planning, and budget management Experience owning a commercial performance target (volume, sell-through, and/or profitability) for a consumer product portfolio Experience building and scaling large, multidisciplinary teams and developing senior leaders Experience operating at the intersection of product and commercial strategy, including influencing product, assortment, and pricing decisions Experience managing complex external partnerships across retail, carrier, or manufacturing and licensing Experience building operating models and processes that scale across large product catalogs and frequent launch cycles Experience communicating with and influencing executive leadership Experience launching and scaling consumer electronics or wearables in global markets Experience at a major omnichannel retailer or global consumer brand Experience integrating AI and data tools into commercial planning and operations Track record of building functions and operating models from the ground up in ambiguous, fast-changing environmentsMeta builds technologies that help people connect, find communities, and grow businesses. Lead business planning and operations across channels, including the annual and quarterly sales planning process, gap-to-goal management, forecasting inputs, budget allocation and reallocation, and the operating cadence of reviews and deliverables that keeps the business aligned.