LinkedIn jobs in San Francisco, CA

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role can be based in San Francisco, New York, Carpinteria, or DC. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are seeking a strategic and visionary leader to serve as the insights and research partner to our Brand COE. You will help shape their brand positioning by uncovering fresh perspectives on our audiences, building deep Audience Pen Profiles, and setting the priorities that drive how our Parent Brand connects with the world. You will translate these perspectives into clear narratives and recommended actions, partnering with creative, marketing, and cross-functional teams to craft and refine our brand story. Key Responsibilities: * Partner on Brand Positioning - Support the Brand COE with insights and research to help shape and articulate a compelling brand positioning, informed by rigorous research and competitive analysis. * Audience Penetration Profiles - Develop and maintain detailed personas and segmentation models, leveraging quantitative and qualitative data. * Uncover Fresh Perspectives - Lead discovery research to find new angles and narratives about our audiences; drive innovative methodologies to surface unexpected insights. * Audience Prioritization - Identify 2-3 priority audiences for building our Parent Brand, using data-driven criteria and business objectives. * Collaborate Across Teams - Work closely with Creative, Marketing, Product, and Insights partners to integrate positioning and audience insights into strategy and execution. * Lead Custom Research - Design and oversee bespoke research projects aimed at informing brand positioning and audience strategy. * Influence & Communicate - Present compelling narratives and actionable recommendations to senior leadership, embedding the voice of the consumer into key decisions. Qualifications Basic Qualifications: * BA/BS degree in Marketing, Economics, Mathematics, or related filed or equivalent working experience. * 7+ years of experience in brand strategy, consumer insights, audience segmentation, or related fields, ideally within technology or B2B/B2C contexts. Preferred Qualifications: * Familiarity with brand positioning, competitive analysis, and category mapping tools. * Experience with advanced analytics, segmentation software, or machine learning applied to customer insights. * Strong proficiency in presentation tools such as PowerPoint, Tableau, or equivalent to visualize persona and segmentation outputs. * Established relationships within creative and strategic consultancies or networks. * Track record of leading high-impact, cross-functional initiatives from insight to execution. * Demonstrated ability to partner on brand positioning in support of our Brand COE, providing deep insights and research. * Expertise in building personas and segmentation (Audience Pen Profiles) and prioritizing audiences based on data and business impact. * Strong analytical skills with the ability to blend quantitative and qualitative research. * Exceptional storytelling ability, able to translate complex insights into clear narratives and recommendations. * Proven ability to collaborate across functions and influence senior stakeholders. * Comfortable designing custom research projects and interpreting findings for strategic use. Suggested Skills: * Data Analysis & Storytelling * Cross-Functional Influence & Communication * Brand & Consumer Insights LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $195,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

About the Role: Meta, Engineering Project Specialist III - Sunnyvale CA The Engineering Program Specialist (EPS) team at Meta's Reality Labs plays a pivotal role in driving the development of cutting-edge, world-class products for the Metaverse. As EPS III, you will hold a position within the Technical Program Management organization, overseeing the efficient execution of key program responsibilities. Your extensive range of duties encompasses build matrix support, distribution coordination, logistics management, PO and support PO mapping/budget tracking, as well as vendor onboarding. Thriving in dynamic and fast-paced environments, you exemplify a can-do attitude and possess exceptional communication skills. With the capability to handle multiple concurrent programs seamlessly, you demonstrate adaptability and deliver optimal productivity. This is a contract position based at our offices in Sunnyvale, CA. Primary Responsibilities: Support NPI engineering builds by assisting in the build matrix, collaborating with Product Lifecycle Management (PLM) to validate part numbers for all configurations, managing demand, and prioritizing requests. Work closely with TPM to facilitate allocation requests, including quantity scrubbing, and maintain effective communication with all requesters. Ensure precise shipments and resolve logistic issues with Joint-Development Manufacturer (JDM), overcoming barriers for deliveries to unsupported countries through collaboration with Trade Operations and Legal. Drive and oversee distribution activities, adeptly communicate with senior management, and thrive under pressure. Partner closely with the Dogfooding team to ensure the library inventory across all locations reflects the latest device versions. Manage budget-related tasks, including initiating purchase requisitions, tracking status, and reconciling purchase order invoices in coordination with TPM/OPM and Business Operations. Support PCE for PO map out per project. Spearhead process improvements for engineering, TPM, OPM, Cost Engineer, PLM team Qualifications: Minimum of 5 years of experience as an Engineering Program Specialist, Project Manager, Program Manager, or relevant role in high-tech hardware and/or software development. Very good communication written/verbal Logistics and distribution experience Fluent within Excel Demonstrated experience working with engineering teams on allocation, distribution, and inventory management. Proficient in creating and managing complex spreadsheets, accounting tools, POs, and invoice tracking. Experiences with Agile, Teamcenter, or equivalent PLM systems. Extensive experience in New Product Introduction (NPI) hardware development, encompassing engagement with Contract Manufacturers (CM) or Joint-Development Manufacturer (JDM) Proficiency in device allocation, inventory control, and understanding build configurations to meet diverse customer needs.

As the head of Identity, Product Safety and compliance, you will play a pivotal role in directing Pinterest's vision and collaborating with sub-team leaders to improve and build scalable and stable engineering systems. You will have a broad scope of responsibilities, including leading areas related to authentication, authorization, account security, bot detection, age verification and privacy compliance, product safety features, teen safety etc. You'll consistently work closely with stakeholders across Pinterest, not only to shape the technical strategy, but also to identify problems and propose innovative solutions, subsequently ensuring their successful implementation. What you'll do: Set up the long-term technical vision and strategy for Identity & Product Safety, aligning it with the Pinterest's mission and goals, and proactively identify areas for technical innovation and improvement Collaborate with product and engineering stakeholders across the organization to architect the Identity and compliance infrastructure solutions to enable user trust while reducing friction for growing user base. Define and influence architectural and strategic direction for the Pinterest platform. Lead the design, implementation and maintenance of sophisticated systems. Foster a culture of continuous learning and improvement within the engineering teams, promoting knowledge sharing, mentoring, and professional development. Grow a fast growing engineering organization, setting the technical vision, leading the day-to-day execution, as well as fostering good team health and culture. Modernize the Identity infrastructure for the entire Pinterest platform to achieve high reliability, scalability, efficiency, and developer velocity. Carve out a Product Safety strategy that differentiates Pinterest from other platforms in terms of perceived safety by users. What we're looking for: Bachelor's degree in Computer Science, a related field or equivalent experience. 5+ years of experience as an engineering manager, with experience managing managers. 10+ years of industry experience in large-scale distributed systems, relational and non-relational datastores, and system programming. Experience in building frictionless Identity and compliance platforms to enable both user growth and user trust. Strong cross-functional collaborator and communicator. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration1-2 times per half and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AG8

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Sunnyvale, CA, San Francisco, CA or New York, NY. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for a Strategic Finance Sr Associate who will partner closely with LTS R&D leaders to define product strategy, inform initiative prioritization, set business metrics targets, monitor metrics performance, proactively identify trends, and synthesize and communicate insights. The role is focused on our Enterprise Jobs product and is highly cross-functional, indexing heavily on operational rigor and execution against strategic priorities. Responsibilities: Strategic Thinking * Learns to identify new opportunities for growth within a limited scope and supports strategy development with business partners. * Validates and executes pressure testing of growth opportunities. * Operationalizes ideas and develops plans for execution with some support from more senior team members. * Builds collaborative relationships with other teams and seeks input and feedback to develop an understanding of their priorities and constraints. Stakeholder Influence * Communicates implications of work (e.g., forecasts, analyses, trends) to management and cross-functional stakeholders to drive action. * Leverages insights and data to develop narratives to influence stakeholders with limited guidance. * Synthesizes problems and communicates point of view to support decision-making on issues related to individual work in smaller group discussions. Execution & Organization * Partners with cross-functional stakeholders to support the growth of initiatives by providing a metrics- oriented perspective, with minimal supervision. * Communicates with stakeholders to answer a wide variety of complex questions. * Exercises judgment within defined procedures to develop workstreams and operational processes. * Proactively identifies obstacles and works to unblock them with minimal support. Performance Management * Supports performance management by creating, maintaining, and updating complex models and forecasts for assigned metrics. * Access, transform, and synthesize data from cross-platform data sources and analyze to assess signals, trends, and risks. * Leverages advanced knowledge to develop hypotheses using identified signals, trends, and risks. * Executes ad hoc analyses to prove/disprove hypotheses and address ambiguous or complex business questions, deriving actionable insights from results. * Collaborates with cross-functional teams to design experiments to close deviations from targets. Culture & Values * Contributes to the culture and values of the organization including diversity, inclusion, and belonging, through organization-wide events and initiatives. * Proactively seeks out feedback and provides constructive feedback to colleagues. * Seeks out new opportunities for career growth and skill development. Qualifications Basic Qualifications * Bachelor's Degree in Business, Business Analytics, Finance, or related field AND minimum 3+ years of experience in finance, finance accounting, management consulting, investment banking, or related field OR equivalent experience. Preferred Qualifications * Background in management consulting, investment banking, private equity, strategy or growth role within a technology company * Natural problem-solver: Experience decomposing and solving real-world business problems, ideally using advanced Excel / SQL skills; able to both delve into the details and engage meaningfully on higher level strategy * Effective communication: Excellent communication skills to distill complex thoughts and strategies into simple, actionable recommendations; ability to credibly and compellingly present and debate recommendations with senior leadership * Cross-functional partnership: Ability to partner with cross-functional stakeholders to define and deliver our product strategies Suggested Skills * Communication * Cross-Team Collaboration * Data Analysis * Decision Making * Financial Acumen * Forecasting * Influencing for Impact * Innovation * Problem Solving * Project Management * Stakeholder Management * Strategic Thinking * Trusted Advisor LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $98,000 to $158,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

_corporate_fare_ Google _place_ New York, NY, USA; San Francisco, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Bachelor's degree in engineering, computer science, data science or equivalent practical experience. + 5 years of experience in cloud, consulting, business or media analytics, digital media, marketing, financial analysis, or another quantitative field. + Experience using SQL to extract and manipulate data, or with other programming or scripting languages such as R, Python or ad tech automation. **Preferred qualifications:** + Experience with Cloud platforms or a foundational understanding of AI principles and their application to business growth. + Experience in consulting business or data science to influence changes in their resource and budget allocations. + Understanding of statistical modeling and quantitative analysis techniques and ability to analyze large datasets with the goal of delivering actionable insights. + Familiarity with machine learning methodologies including data cleansing, normalization, feature engineering, model training/validation and automation. + Proficiency in Portuguese or Spanish. + Excellent problem-solving, project management, and investigative skills. **About the job** Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative ways to consistently deliver extraordinary and incremental outcomes for both Google and our customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the companies and users that trust Google with their most important goals. In this role, you'll work with the most sophisticated Apps customers in AMER and LATAM to help them optimize their user acquisition strategy with Google Ads. You will deliver client engagements on data science/measurement consulting projects (e.g., pLTV, event selection, incrementality), lead hypothesis-driven client analysis to surface actionable insights, and develop Google SQL/Workspace Scripts/Python scripts to enable advanced client reporting and ad tech automation. You will be passionate about building and coding tools, excited to leverage cloud infrastructure and AI technologies to solve business problems, analyzing data, and strategizing in a changing environment. You'll work with AppDev Sales Leadership, Global Growth Consultants and key cross-functional teams to help find new business opportunities for our business and customers. You'll present to leadership, get buy-in and influence their decision making. You'll coordinate and execute growth projects. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers and we have fun doing it. The US base salary range for this full-time position is $110,000-$157,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Partner with internal and external products, research, data, and measurement teams to deliver full measurement solutions to customers. + Own the measurement conversation and be comfortable leading client conversations and projects related to measurement. + Advise Google clients and agencies on best practices for marketing analytics within the broader context of industry standards and options. Provide ongoing customer consultation on how to implement best practices. + Scale measurement impact internally by upskilling AppDev sales growth managers. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in the San Francisco office. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are building an AI product experience that reimagines how companies hire by combining high-quality human expertise with intelligent workflow automation. The mission is to help companies hire faster and more effectively with an AI-driven agent that orchestrates sourcing, screening, outreach, and more under the guidance of a recruiting expert. This role will decide the end-to-end design of hiring workflows, and the operational systems that bring them together. You'll work closely with cross-functional partners across product, engineering, design, data science, and operations to translate real-world hiring workflows into scalable automation. You will also partner with recruiters and with clients to understand needs, validate new workflows, and ensure a high-quality experience for everyone who interacts with the product. This is a unique opportunity to define the future of hiring-productizing years of recruiting expertise into a world class hiring product. Responsibilities * Define and translate hiring workflows, sourcing strategies, messaging patterns, and client-service processes into structured systems that an AI agent can automate or augment. * Partner with engineering and design to specify decision logic, handoff rules, agent behavior, and automation triggers. * Monitor product performance, including funnel health, time-to-action, fill velocity, and quality metrics. * Influence and coach internal stakeholders on playbooks, performance expectations, and operational standards. * Participate in key client conversations to understand hiring needs and identify workflow gaps or opportunities for improvement. * Represent in customer interactions and synthesize insights for product development. * Build scalable processes and SLAs across sourcing, screening, outreach, and submission workflows. * Review experiments, QA automation outputs, and iterate rapidly to improve quality and efficiency. * Work with product, engineering, design, and operations teams to bring new workflow automation ideas to life. * Operate as a full-stack builder using AI-powered tools for analysis, prototyping, and experimentation. Qualifications Basic Qualifications * BS/BA Degree or equivalent experience * 7+ years of experience in recruiting or talent acquisition in agency setting * 3+ years leading a team of recruiters or experience founding/operating a staffing firm Preferred Qualifications * Experience working directly with engineer teams * Familiarity with generative AI and agentic tools * Deep experience with full-cycle recruiting for professional roles (e.g., engineering, product, design, corporate) * Strong operational and systems-thinking mindset; ability to convert unstructured workflows into repeatable processes * Excellent client-facing communication and consultative skills * Proven success designing recruiting playbooks, capacity models, or service quality standards * Demonstrated ability to launch 0→1 processes or operational models LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $250,000 to $350,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities * Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. * Analyze large-scale structured and unstructured data. * Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify the cause and effect in the ecosystem, identify business opportunities and to drive member value and customer success. * Develop methodologies to enhance LinkedIn's product and platform capabilities. * Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights * Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. * Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. * Initiate and drive projects to completion independently * Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals * Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company * Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews Qualifications Basic Qualifications * Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. * 1+ years of industry or relevant academia experience * Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) * Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications * MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills * Machine Learning * Research * Causal Inference You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $114,000.00 to $189,000.00 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This role will be based in San Francisco, Chicago or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for a Global Client Executive to join our Sales Solutions team in owning, growing and developing relationships with our most strategic accounts globally. You will be responsible for selling Sales Navigator and deciphering how it is best used by our customers and making compelling recommendations for additional investments and renewals in LinkedIn. You will be the customer-facing sales representative and play a key role in the global account strategy of your region. **Responsibilities: ** + Exhibits deep and up-to-date knowledge of the entire suite of LinkedIn Sales Solutions to communicate the benefits of our solution offerings + Collaborates with Global Client Directors and Regional Account Managers on the Global sales strategy for your accounts and executes on these across the NAMER region + Builds NAMER regional territory and account plans that align and influence global strategy, including multi-threaded relationship maps, enabling deeper and wider penetration within each customer + Leads inclusive, collaborative cross functional accountability for all aligned partners to deliver best in class customer experience + Grows the current revenue baseline of these accounts across NAMER by penetrating deeply on the greenspace and increase share of wallet in LinkedIn's offerings + Negotiates and closes all orders with the larger LinkedIn investment in mind and provide post-contract support to ensure product delivery and satisfaction + Consistently unlocks new business and pipeline opportunities solidifying partnership and positioning LinkedIn to win. Shares case studies with the wider business showcasing commercial excellence and scalable data sets + Provide thought leadership on Deep Sales both online and at customer events **Basic Qualifications: ** + 10+ years of experience in a quota-carrying sales role + Experience selling SaaS solutions, CRM platforms or software platform solutions + Experience in a consultative B2B solution sales role **Preferred Qualifications: ** + Experience selling to EVPs, CXOs and end-users (in the same sales cycle) in both individual and team sales environments + Experience closing new business accounts and managing existing accounts + Proven success in selling new and disruptive technology + Excellent communication and teamwork skills + Demonstrated ability to generate a plan to ensure deep penetration into global accounts Suggested Skills: + Solution-based Selling + Cross-functional Partnerships + Multithreading Global Companies LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $212,000 to $324,000 OTE. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* . **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

**R** **a** **p** **i** **d** **E** **v** **a** **l** **u** **a** **t** **o** **r** **-** **A** **I** **/** **M** **L** **,** **X** Future Moonshots Mountain View, CA (HQ) **About the company:** X is Alphabet's moonshot factory with a mission of inventing and launching "moonshot" technologies that could someday make the world a radically better place. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. As an innovation engine, X focuses on repeatedly turning breakthrough-technology ideas into the foundations for large, sustainable businesses. **The Team:** X's Rapid Evaluation team has one goal: creating and incubating X's next moonshots. We are a dynamic team of creative and collaborative engineers, innovative entrepreneurs and scientists that focuses on identifying and de-risking ideas. We develop the foundations upon which groundbreaking products and business can be built upon. We are particularly interested in hiring people who have experience in taking ideas from concept stage to pre-product stage. **The Role:** In this role as **AI/ML Rapid Evaluator** , you will be working on a team applying a combination of critical thinking, networking, research, and prototyping to propose and assess hundreds of potential technology-enabled projects. The team's mission is to find or invent new opportunities that have a significant reach and global impact. We are looking for individuals with an unorthodox mix of skillsets, ranging from entrepreneurial scientists to scientific entrepreneurs who are motivated to change the world for the better. **How you will make 10x Impact:** + Identify, assess, and synthesize new X moonshots ideas + Roll up your sleeves to de-risk your moonshot ideas from both a technical and business perspective + Conduct independent and team-based early-stage technical and techno-economic assessments to develop and evaluate potential moonshots + Lead small technical teams (internal or external experts) to further the state of the art and build proofs of concept + Develop and refine your moonshot story and pitch, regularly sharing your vision and incorporating feedback from our leadership team **What you should have:** + Completed BA/BS, Masters, and/or PhD or equivalent practical experience + 10+ years experience working on breakthrough technologies and launch of a deep tech product + A breadth of technical expertise and interests (including AI/ML) + Hands-on experience building innovative projects in cross-functional & cross-technology settings + Experience and comfort with ambiguous, early-stage projects. Ability to create and grow ideas into viable businesses from the chaotic ground up + Demonstrated ability to source and manage external partnerships around early-stage technology + Excellent written and verbal communication skills; can communicate effectively with executives as well as engineers from a wide range of technical backgrounds **It would be great if you also had:** + Experimental bias and an enthusiasm to get your hands dirty and dive into new areas + Exceptional ability to quickly pick up new technical topics from semiconductor manufacturing to marine biology + Tenacity and sense of urgency; the ability to make things happen quickly; ability to thrive in a fast-paced, fluid, and collaborative environment + Broad awareness of global issues and insights into the interactions between societal trends and emerging technologies + Both startup experience during various stages of the company's growth (or lifecycle) and also an understanding around the complexities and nuances of operating within a large corporation will be critical The US base salary range for this full-time position is $221,000 - $328,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. **An Equal Opportunity Workplace** At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. Our Finance & Accounting team plays a critical role in powering that mission-ensuring growth is responsible, scalable, and future-focused. We're looking for a strategic, collaborative, and technically strong Director of Accounting, Revenue Recognition to ensure ASC 606 compliance and lead our revenue processes in a dynamic, cross-functional environment. What you'll do: Oversee Pinterest's global revenue recognition and sales contract processes, ensuring accurate and timely revenue recognition in compliance with ASC 606. Develop and maintain global revenue recognition policies, SEC disclosure and related SOX controls to reflect changes in our business, GAAP or SEC guidance. Serve as the subject matter expert and primary contact for all technical revenue recognition matters, collaborating with Sales, Product, Engineering, IT, Finance, and Customer Support to align processes with business objectives and regulatory requirements and ensure compliance with Pinterest's revenue recognition policies. Responsible for technical accounting research and memos to document revenue recognition conclusions and other technical accounting positions in support of key financial disclosures related to revenue. Train cross-functional teams on revenue recognition and related topics, ensuring clarity and consistency across the organization. Responsible for informing and training the revenue accounting team of new revenue accounting arrangements to ensure accurate bookings in the general ledger and reviewing results for accuracy. Partner with Order Management, collections, payment & risks and accounting teams to proactively identify risks, address contract nuances, and implement best practices. Serve as the primary liaison and main point of contact with internal and external auditors to facilitate efficient audit processes and respond to technical queries on revenue. Analyze revenue trends and metrics to generate actionable insights that inform strategic decision-making and support business growth. Champion continuous process improvement and automation initiatives to scale operations in a fast-paced environment. What we're looking for: Our PinFlex future of work philosophy for this Accounting organization requires this role to visit a Pinterest office for collaboration up to 2 times per month. Deep technical expertise in ASC 606 and related accounting guidance and external disclosure guidance along with the ability to research and evaluate complex accounting rules and contract structures, assess and evaluate developing accounting issues or changes in rules or regulations to ensure the company is prepared for any such changes in advance; Internet advertising experience preferred. Impeccable verbal and written communication skills-able to distill complex accounting concepts for a variety of audiences, including senior leadership and cross-functional stakeholders. Strong collaboration skills and a track record of building effective partnerships with cross-functional teams (e.g., Sales, Product, Engineering, IT, Finance, Customer Support). Demonstrated executive presence, critical thinking, and problem-solving ability Minimum 10+ years of experience in revenue recognition or technical accounting roles with a minimum of 6 years in public accounting. National office or technical advisory roles and experience with ad or platform technology company experience are pluses. Certified public accountant preferred. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/month, and the role is based in San Francisco, CA. #LI-HYBRID #LI-LGC At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$175,922-$362,192 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description Overview: LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: * Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company. * Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals. * Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. * Drive org-wide impact by shaping product and business strategy through data-centric presentations. * Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy. * Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success. * Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights. * Design and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions. * Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. * Mentor junior members of the team. Qualifications Basic Qualifications: * Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. * 5+ years of relevant work experience. * Experience influencing strategy through data-centric presentations . * Experience in SQL. * Background in at least one programming language (e.g., R, Python, Scala). * Experience in applied statistics and statistical modeling in at least one statistical software package. * Experience telling stories with data and visualization tools * Experience running platform experiments and techniques like A/B testing Preferred Qualifications: * Experience with manipulating massive-scale structured and unstructured data. * Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs. * Working knowledge of Unix command-line/shell, git and review board. * Experience leveraging government data or publicly available third-party APIs. * Experience mentoring other data scientists in an official or unofficial capacity. * Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives. Suggested Skills: * SQL * Python * Statistical Analysis * Data Storytelling * Data Interpretation You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. Compensation: The pay range for this role is $144,000 - $236,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Apply share * link Copy link * email Email a friend info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 2 years of experience in advertising, sales, marketing, consulting, or media. * Ability to travel up to 20% of the time as required. Preferred qualifications: * Experience assessing and achieving client success via sales techniques, including effective questioning, objection handling, and engaged promotions. * Experience in launching and managing paid digital advertising campaigns such as Google Ads and other digital marketing platforms. * Experience working with channel sales, advertisers, agencies, or clients. * Ability to manage and prioritize a portfolio in an advertising or media sales context, and achieve goals to drive growth. * Ability to build compelling narratives and utilize storytelling as a client engagement strategy. About the job Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it. The US base salary range for this full-time position is $84,000-$120,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Build and manage relationships with clients virtually or face to face by meeting with multiple clients on a daily basis and developing an understanding of their business challenges, marketing objectives, and success metrics. * Work with internal and external stakeholders to ensure workflows and projects are completed on time to a high standard. * Plan for, and achieve, growth goals including but not limited to quarterly business growth and productivity targets, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives. * Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify high-impact opportunities with clear recommendations to present to customers. * Build knowledge of how Google advertising products work and can be used to help meet a wide range of marketing objectives.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This internship role will be based out of Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the frontier of Generative AI, applying cutting-edge techniques in areas such as text generation, image synthesis, multimodal models, evaluation frameworks, and reinforcement learning. You'll collaborate with a dynamic group of AI researchers and engineers to develop scalable, production-ready models that impact LinkedIn's products and user experiences. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Our mission is crystal clear: to elevate the LinkedIn member experience through the implementation of cutting-edge technologies that enable advanced cognitive understanding of multimedia content. Whether it's text, images, videos, ads, or live content, we are leading the way in developing state-of-the-art large vision language technologies. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: * May 26th, 2026 - August 14th, 2026 * June 15th, 2026 - September 4th, 2026 Responsibilities: * Conduct research and development on state-of-the-art Generative AI models, including transformers, diffusion models, GANs, and autoregressive architectures * Apply advanced Generative AI techniques to a variety of tasks such as text generation, creative content generation, conversational agents, and multimodal learning * Develop and implement large-scale, production-quality Generative AI systems that integrate with LinkedIn's platform * Design and implement evaluation frameworks for AI models, including metrics, datasets, and pipelines for automated testing and benchmarking * Collaborate with product teams to build innovative AI-driven user experiences, from personalized content to conversational agents * Contribute to internal frameworks for human-in-the-loop annotation and preference modeling Qualifications Basic Qualifications: * Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship * Proven research experience in Generative AI, including LLMs, GANs, VAEs, diffusion models, or similar architectures * Knowledge of generative models, neural networks, and probabilistic methods for AI * Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch Preferred Qualifications: * Proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as prototyping invented algorithms * Experience with multimodal learning, combining visual and textual data in Generative AI systems * Knowledge of reinforcement learning applied to Generative AI tasks * Hands-on experience deploying generative models in production environments * Publication record in AI/ML conferences (e.g. NeurIPS, ICML, CVPR, ICCV) * Proficiency in Python and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) * Involvement in consumer-facing product development and design * Understanding of configuration management techniques and tools * Proven proficiency with command of algorithms and data structures * Excellent communication skills Suggested Skills: * Machine learning and deep learning * Advanced data mining * Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $62 to $75 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

We are looking for a Data Center Planning Manager, with experience in developing infrastructure strategies and programs to join the Strategic Planning Team. In this role, you'll be part of the team that builds Meta's global data center capacity roadmap and develops infrastructure scaling strategies that set the direction for one of the fastest growing infrastructures in the world and enables Meta's Artificial General Intelligence goals. As a Data Center Planning Manager, you will be accountable for driving investment decisions that cover billions of dollars and help scale our data center footprint efficiently to meet our AI goals as well as growing product and service needs. This is a unique opportunity where you will be responsible for developing and leading transformational strategic initiatives from inception, driving recommendations to executive leadership, and bringing them through implementation. This is an individual contributor role, where you're at home rolling up the sleeves and being in the details, as well as thinking big picture, project manage complex initiatives, and partner with teams to challenge the status quo. This role will look for sound experience in large scale infrastructure/hardware planning and technical project management, driving transformational planning and capacity initiatives, and an understanding of servers, networks, and data center operations. This is a highly cross functional role where you will be expected to partner with our data center capacity stakeholders (capacity engineering, network engineering, construction, site selection, network, finance). Minimum Qualifications * Undergraduate degree in Computer Science, Operations Research, Supply Chain Management, Computer Science, Electrical Engineering, Mechanical Engineering, or Chemical Engineering * 12+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy Consulting, Capacity Planning, Supply Chain Planning * Experience in completing multiple cloud/infrastructure/hardware efficiency or optimization projects * Technical experience in infrastructure, hardware or similar designs * Experience collaborating and working with internal and external organizations and individuals * Bachelor's degree in a directly related field, or equivalent practical experience Preferred Qualifications * Masters Degree or MBA Responsibilities * Leverage technical skills and expertise, to Identify and build large transformational programs and initiatives across Infrastructure that scale Meta's Data Center footprint efficiently * Develop new Data Center planning strategies that focus on meeting Meta's Artificial General Intelligence goals through AI deployments, improvements in reliability, cost and operational efficiency, improvements in data center power utilization, and service placement optimizations * Develop detailed project evaluation plans for data center plan changes and set the pace to drive closure * Own the communications strategy for data center planning changes which include executive level and detailed project briefs and status updates * Use technical judgment to drive new project evaluations, technology reviews, challenge proposals and build consensus About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Hiring Team Description: A Partner Solutions Engineer would have deep expertise in LinkedIn's API products and technical solutions. You will develop strong relationships with internal stakeholders to launch new API products and help enterprise partners integrate. You will be responsible for enterprise partners CSAT, program health, and monthly enterprise partner operations review. You may drive adoption of LI's API products in the marketplace by managing a portfolio of high touch enterprise partners or lead product adoption across a broad base. You will understand feature gaps in API, product, or partner offering and explore solutions to address gaps and drive client success. This role will be based in San Francisco, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: * Act as the technical subject matter expert and solution engineer for enterprise partners. * Identify, drive and optimize the user experience, engagement and business growth for partners leveraging LI API products * Understand enterprise partner's product adoption progress and consult product and engineering teams to accelerate LinkedIn best practices. * Understand and document enterprise partner's technical implementation. * Facilitate enterprise partners with onboarding, provide technical development and coding support, and provide guidance to partners during testing and pre-launch activities. * Build relationships with the technical teams and decision-makers at enterprise partners. * Understand enterprise partner's platform architecture and become a consultant to engineering leadership to help these partners build scalable integrations through best practices adoption. * Act as a technical partner providing program management to ensure partner success. * Act as a technical partner to BD & Product teams to support new and existing enterprise partners. * Design effective launch programs with enterprise partners to ensure that new products and feature releases are tested before broad-scale deployment. * Ensure existing new enterprise partners brought into the ecosystem by BD are successfully adopting new products. * Be the voice of our enterprise partners back to LinkedIn. * Drive product improvements & platform best practices by contributing to Voice of enterprise partners back to LinkedIn's lines of businesses. Qualifications Basic Qualifications: * BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. * 2+ years of industry experience. Preferred Qualifications: * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. * Exceptional written, presentation and oral communication skills, and the ability to create and present solutions to partners. * Experience integrating enterprise services, either as a consumer or a provider * Experience managing external partners/customers and working with product, business development and engineering * Experience working in highly collaborative environments * Experience in one or more of the following: Enterprise Architecture, SaaS Integration, API Management, PaaS and IaaS * UNIX scripting experience Suggested Skills: * Enterprise Architecture * SaaS Integration * API Management * PaaS/IaaS * UNIX Scripting You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This internship role will be based in Mountain View, California. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. First Play is LinkedIn's software engineering internship designed to develop the next generation of AI-native engineers. The program is designed for students earlier in their computer science journey (expected graduation date of December 2027 or later) who want hands-on experience, mentorship, and growth opportunities working in the tech industry. Unlike our traditional Software Engineering internship, First Play is tailored for those building foundational skills required to thrive in an AI-native engineering environment. Throughout the program, interns are paired with a dedicated mentor and manager who provide guidance, feedback, and support to help them learn and grow as engineers. Candidates must be currently enrolled in an undergraduate degree program, with an expected graduation date of December 2027 or later. The First Play internship is a 12-week program designed to provide hands-on learning and mentorship. The 2026 session will run from May 26, 2026 - August 14, 2026. Responsibilities: * Hands-on Engineering: Contribute to meaningful, scoped projects that strengthen your coding, debugging, and problem-solving skills. You'll apply classroom knowledge to real-world challenges - writing clean, efficient code, testing and iterating on features, and learning professional engineering practices such as version control, code reviews, and continuous integration * Build Community: Participate in First Play cohort events, learning experiences, and LinkedIn's broader intern programming designed to build community, increase skills, and showcase LinkedIn's culture * Experience Growth: Explore how AI and emerging technologies are shaping software development, and learn how engineering teams collaborate to create economic opportunity for the global workforce Qualifications Basic Qualifications * Currently pursuing a B.A/B.S degree in Computer Science or related technical field * Foundational programming experience in at least one of the following: Python, Java, C/C++, C#, Rust, or a similar object-oriented programming language Preferred Qualifications * Exposure to software development through class projects, hackathons, or personal coding projects * Experience experimenting with AI tools and frameworks to enhance software development and productivity * Understanding of foundational data structures and basic algorithms * Demonstrated AI curiosity and growth mindset, with a desire to deepen fluency with AI tools and emerging technologies * Understanding of software engineering fundamentals such as code reviews, collaboration, and iterative development in a team environment Suggested Skills: * Programming Foundations * Technical Problem-Solving * AI Fluency As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $45 to $55. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Meta Reality Labs is building products that make it easier for people to connect with the ones they love most. We are a team of experts developing and shipping products at the intersection of hardware, software, and content. Our team has the responsibility for taking breakthrough concepts and delivering them to market at scale. Meta Wearables team seeks an Engineer with system design skills and consumer electronics experience to develop and integrate solutions in future Meta products. Minimum Qualifications * BS in Mechanical Engineering, Electrical Engineering, Physics or practical equivalent work experience * 8+ years of relevant industry experience or similar * Expertise in advanced technologies, focused on consumer electronics products * Experience leading technical teams, cross-functional groups and vendors Preferred Qualifications * Masters or PhD in Mechanical Engineering, Electrical Engineering, Physics or practical equivalent work experience * 8+ years of relevant industry experience with focus on sensor technologies * Experience leading efforts to integrate new sensor modalities into high volume consumer products * Experience in advanced FEA for capacitive touch, proximity sensing and other sensing modalities * Experience with performing bench-level measurements for model validation and root-cause analyses * Proficient in Abaqus, ANSYS, COMSOL, or other FEA tools * Proficient in human body modeling * Proficient in data collection and analysis tools including JMP, Python, MATLAB or any other scripting languages Responsibilities * Collaborate closely with cross functional teams and external partners to push the boundaries of technologies and deliver best-in-class hardware solutions * Lead efforts to integrate new technologies into high volume consumer products through all stages of product development (from prototyping, design through mass production) * Generate analytical models of subsystems and validate them through design of experiments and lab testing * Perform static, dynamic, structural and thermal-mechanical analyses to guide design optimization before hardware prototyping * Collaborate with vendor resources to leverage their team and maximize the focus of internal resources on adding value to and differentiating our product About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role can be based in San Francisco or Mountain View. LinkedIn is seeking a Governance, Risk and Compliance Manager with expertise in legal and regulatory compliance to join our Global Compliance and Integrity team. This role blends strategic and operational responsibilities, partnering with cross-functional stakeholders-including Legal, Product, Engineering, and Finance-to identify risks and establish governance and compliance processes to manage them in line with the company's risk appetite. The ideal candidate will bring a strong understanding of global regulatory frameworks and demonstrate experience translating legal requirements into actionable compliance controls. You will be a key contributor to strengthening LinkedIn's compliance posture, helping ensure adherence to laws such as the Digital Services Act (DSA), Digital Markets Act (DMA), GDPR, CCPA, and emerging AI regulations. Responsibilities * Lead dynamic, risk-based governance and assurance assessments, including post-remediation validations, with a focus on legal and regulatory risk. * Conduct dynamic, risk assessments and support a dynamic, risk-based assurance plan. * Translate regulatory requirements into innovative compliance solutions, processes, and controls that fulfill legal obligations and align with business needs. * Drive change management initiatives for compliance programs across the organization. * Define, track, and report compliance metrics and KPIs to leadership, utilizing dashboards and regular updates. * Foster a culture of innovation and continuous improvement in risk and compliance. * Partner with Legal and cross-functional teams to monitor regulatory developments. assess impact, and efficiently and effectively address relevant risks. * Support management in handling complex issues with internal and external auditors. * Participate and/or lead special or ad-hoc projects and initiatives. * Manage co-sourced consultants and optimize their engagement according to budget. * Demonstrate impeccable ethics and professional conduct. * Stay abreast of current events and regulatory changes impacting LinkedIn. * Support internal and external audits, regulatory inquiries, and enforcement actions * Support management in handling complex issues with internal and external auditors. Qualifications Basic Qualifications: * Bachelor's degree in business, law, management information systems, or related field or equivalent practical experience. * 4+ years of experience in risk management, regulatory compliance, or audit. * Demonstrated ability to interpret complex legal requirements into effectively risk-balanced compliance solutions and controls. Preferred Qualifications: * Master's degree in business, management information systems, Law Degree or related field. * CIA, CPA, CISA or equivalent certification. * Experience with regulatory requirements impacting the tech industry (DMA, DSA, AI regulation). * Effective project management and communication skills, with a proven ability to collaborate across teams and influence stakeholders. * Strong analytical skills and experience structuring solutions in complex, ambiguous environments. * Experience leveraging artificial intelligence (AI) tools and technologies to enhance compliance processes, monitoring, and reporting. * Demonstrated experience with compliance automation and GRC platforms (Power BI, Tableau, ServiceNow). * Proven ability to champion legal compliance initiatives by partnering cross-functionally to ensure alignment with global standards (GDPR, CCPA, DSA, OSA). * Experience working within a technology company operating on a global scale. Suggested Skills: * Designing and Testing Controls * Regulatory Compliance * Internal and External Audit * Cross Functional Collaboration What We Offer: * Competitive salary and bonus structure * Hybrid/flexible work environment * Professional development and learning opportunities * Inclusive, mission-driven culture * Opportunity to shape LinkedIn's global compliance posture LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $105,000 to $141,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. LinkedIn's members entrust us with their information every day and we take their security seriously. Our core value of putting our members first powers all the decisions we make, including how we manage and protect the data of our members and customers. We never stop working to ensure LinkedIn is secure. We follow industry standards and have developed our own best practices to stay ahead of the increasing number of threats facing all Internet services and infrastructure. LinkedIn is looking for an experienced Engineering Manager to lead the Detection Engineering team in the US and to be an integral part of our Information Security organization. The Detection Engineering team is responsible for developing and maintaining threat detection capabilities, security monitoring systems, and detection rules to protect our infrastructure, applications, and, most importantly, our members. This is a key role in supporting and growing our security detection and monitoring capabilities. Responsibilities: Leadership and Team Management + Lead and manage the detection engineering team, including hiring, training, and mentoring team members. + Develop and maintain detection engineering policies, procedures, infrastructure, and guidelines. + Coordinate and oversee all activities of the detection engineering team during threat detection development and implementation. Detection Development and Management + Serve as the primary point of contact for all threat detection development and enhancement initiatives. + Ensure timely development, testing, and deployment of detection rules and monitoring capabilities. + Conduct post-deployment analysis and create detailed reports on detection effectiveness with KPIs, including tuning recommendations and optimization strategies. Communication and Coordination + Communicate detection development status, updates, metrics and reporting, and capabilities to senior management, stakeholders, and security teams regularly. + Coordinate with internal and external teams, including security operations, defense infrastructure, incident response, and product engineering teams to develop and maintain effective detection capabilities. + Develop and maintain an effective detection engineering communication plan. Continuous Improvement + Continuously evaluate and improve detection engineering processes, tools, and capabilities. + Conduct and report on regular detection testing and validation exercises to test and refine detection rules and monitoring systems. + Stay current with emerging threats, attack techniques, and detection technologies to enhance the detection engineering program. Reporting and Documentation + Maintain comprehensive documentation of all detection rules, including development rationale, testing results, and performance metrics. + Prepare and present detection engineering reports and metrics to senior leadership and stakeholders. + Ensure compliance with regulatory requirements and industry standards related to threat detection and monitoring. Training and Awareness + Develop and deliver detection engineering training programs for team members and other relevant personnel. + Promote security detection awareness and best practices across the organization. + Ensure the detection engineering team is up-to-date with the latest tools, techniques, and procedures. Budget and Resource Management + Manage the detection engineering budget and allocate resources effectively. + Evaluate and recommend tools, technologies, and services to enhance the detection engineering program. + Ensure the team has the necessary resources and support to perform their duties effectively. Basic Qualifications: + Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related technical discipline, or equivalent practical experience. + 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training. + 7+ years of experience in cybersecurity, with a focus on detection engineering, security monitoring, threat intelligence, incident response, or related security roles. + Experience leading or managing a cybersecurity, incident response, or detection engineering team. + Experience in cybersecurity frameworks and standards (e.g., NIST, MITRE ATT&CK, OCSF). + Experience in detection engineering tools and technologies (e.g., Query Languages, CI/CD, YARA, Sigma rules, threat intelligence platforms). + Experience with threat analysis, detection rule development, automation engineering, and security monitoring optimization. + Project management experience with managing budgets and resources. Preferred Qualifications: + Master's degree in Cybersecurity, Information Assurance, or a related field. + 10+ years of experience in cybersecurity, with significant experience in detection engineering, threat intelligence, or incident response. + 3+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries. + Ability to work under pressure and manage multiple detection development projects simultaneously as well as managing an oncall team. + Relevant certifications (e.g., CISSP, CISM, GCIH, GCFA, SANS). + Experience in developing and delivering detection engineering training and awareness programs. + Strong proficiency in Kusto Query Language (KQL) and SQL. + Proficiency in programming or scripting languages (e.g., Python, Go, etc.) for automating detection development and testing processes. + Experience with cloud security and detection engineering in cloud environments especially Azure. + Knowledge of advanced threat detection techniques, including threat hunting and behavioral analysis as well as applied threat intelligence. + Familiarity with detection engineering frameworks and best practices (e.g., Sigma, YARA, STIX/TAXII, OCSF). + Strong communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders. Suggested Skills : + Security Information and Event Management (SIEM) + Query languages (KQL, SPL, SQL, Elastic, etc.) + Detection Rule Development (YARA, Sigma) + Scripting and Automation (e.g., Python, PowerShell, SQL) + Threat Intelligence Integration + Cloud Security (e.g., Azure, GCP) You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************