LinkedIn jobs in San Francisco, CA - 4345 jobs

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. The location of this role will be San Francisco, Sunnyvale, or Mountain View. Our Monetization Strategic Finance team is searching for a strategic and results-driven Senior Associate of Strategic Finance, GTM Performance for LinkedIn Sales Solutions (LSS). This person will partner closely with senior GTM leaders, monitoring key business metrics, identifying emerging trends, and sizing the financial impact of strategic initiatives. This highly cross-functional role emphasizes operational rigor and strong execution against top priorities to shape the future growth of LSS. A strong candidate will be able to demonstrate a track record of strategic insight, analytical rigor, and synthesized communication. 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 1+ years of experience in the technology industry. Suggested Skills Cross-Team Collaboration Data Analysis Financial Acumen Forecasting Problem Solving Strategic Thinking Additional Information 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 ************************************* . 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 [email protected] 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: ******************************************* . 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 [email protected] 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: *******************************************.

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

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. Ads Identity Modeling (AIM) sits within the Ads Conversion Modeling group in the Ads Performance org and focuses on identity and conversion modeling that improves conversion ads performance and unlocks new optimization objectives in close partnership with Ads Measurement and ranking teams. We treat conversion data as first‑class: growing resilient conversion signals and amplifying their usage across Pinterest to drive measurable impact in ads delivery and beyond. The team owns core identity and conversion‑linked ML systems, including User Match Prediction (UMP), and is also responsible for building models that focus on driving incremental conversions. What you'll do: Lead the roadmap and technical direction for User Match Prediction (UMP)-from features and training data to model deployment-to increase match rate/quality and strengthen downstream attribution and optimization. Define and productionize a model to generate a user match confidence score, and use it to optimize label weighting and feature construction in conversion models (e.g., oCPM/ROAS). Develop and ship models that increase incremental conversions, partnering with Data Science and Product to set success criteria and measurement plans. Partner with Ads Measurement, Ads Signals, Ranking, and ML Infra to translate identity improvements into reliable online impact and strong operational readiness. Guide model architecture evolution (e.g., feature interactions, multi‑task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP‑loss mitigation). Contribute to the longer‑term Identity Graph (IDG) collaboration (multi‑hop identifiers, candidate generation and ranking) to improve identity resolution and downstream utility. Hire, mentor and grow ML engineers in ads quality and partner teams and help to uplevel ML talent across the company. What we're looking for: MS or PhD degree in Computer Science, Machine Learning, Statistics or related field. 6+ years of industry experience with related background in Ads conversion modeling/products or Ads measurement modeling/science. 2+ years of experience as TLM or EM managing an engineering or applied science team. Strong software engineering and mathematical skills with knowledge of machine learning. 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 once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco / Palo Alto / Seattle. Relocation Requirement Statement This position is not eligible for relocation assistance. US based applicants only. $208,145-$364,254 USD 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. 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 or 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. #J-18808-Ljbffr

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 theflexibility to do your best work. Creating a career you love? It's Possible. With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 As a Machine Learning Intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you'll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow's engineering challenges. What you'll do: Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data and build intelligent data-driven models Write clean, efficient, and sustainable code Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search Scope and independently solve moderately complex problems Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed What we are looking for: Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) Experience in research and in solving analytical problems Strong communicator and team player with the ability to find solutions for open-ended problems Why Intern at Pinterest? Meaningful Work: Contribute to projects that impact millions of users worldwide. Mentorship: Learn from and be guided by experienced engineers and researchers in the field. Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. 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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. 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. 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 The salary for this position is $11,000 monthly. #LI-HYBRID 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 completethis formfor support.

Google San Francisco, CA, USA Apply X Applicants 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. Bachelor's degree or equivalent practical experience. 8 years of experience in full-cycle new business sales, including self-sourcing greenfield accounts, building a book of business, and closing. Experience selling to mid-sized or mid-market advertisers, including C-level stakeholders. Preferred qualifications: Experience selling complex solutions in the technology, advertising современных или media space with strong performance against sales quotas. Experience in educating new advertisers on the value of digital advertising, with emphasis on Google's advertising products. Ability to coach, develop, or manage other new business account executives. Excellent communication skills, with the ability to provide comprehensive advertising solutions to prospective clients. 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 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 millions혼 그 companies and billions of users that trust Google with their most important goals. As a Senior New Business Sales Principal, you will inspire and acquire the highest potential advertisers to grow with Google. You will use your ability to influence and strategically manage a pipeline of new Google advertisers to shape and execute a go‑to‑market strategy within specified verticals. You will represent the business for key internal stakeholders, work with the highest potential and most demanding clients and operate as key business growth drivers for their region. Additionally, you'll lead and coach Account Executives working within 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 déclaration. The US base salary range for this full-time position is $125,000-$183,000 + 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 Develop a quarterly strategic plan within your vertical to drive business and productivity growth for you and your teammates. Work with management to implement systems that support the execution of your strategy, including organizing training programs and influencing cross functional partnerships. Coach towards excellence within your sales vertical to support the team's pipeline development and go-to-market best practices. Partner with adjacent Sales teams to develop funnel support of your vertical, including lead prospecting and sales upskilling. Reach business growth goals by standardizing client best practices within your own book and getting involved in strategic, high-potential agreements within your vertical pipelines. 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 HowAko hire . 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. #J-18808-Ljbffr

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 theflexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Quantitative Research interns to bring statistical rigor to product decisions. Partnering with mentors across product, design, data, and engineering, you'll craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for our teams. Expect real projects, supportive teammates, and opportunities to shape Pinterest experiences that are impactful, inclusive, and meaningful for our Pinners. What you'll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Use surveys to gather insights about Pinner, Merchant, Creator, or Advertiser sentiments and preferences using survey methodologies and statistical/modeling based approaches. Explore the intersection of user attitudes and behaviors by combining surveys and log analysis Work cross-functionally to build and communicate key insights. Collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a PhD in statistics, psychology, sociology, applied sciences, computer science or related field Obtain PhD in statistics, psychology, sociology, applied sciences, computer science or related field by June 2027 Currently pursuing a PhD in statistics, psychology, sociology, applied sciences, computer science or related field. Experience with survey methodology, including experience developing surveys and analyzing survey data Demonstrated experience in descriptive, inferential, and multivariate statistics, and experimental design. Experience using Python, R, or SQL. Excellent communication skills and the ability to tell a complete narrative using data. Ability to connect data analysis to real business problems, in order to impact business performance. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 Relocation Statement: This position is remote and not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. 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. 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 The minimum and maximum salary for this position is $11,000 monthly. #LI-REMOTE #LI-FILS 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 completethis formfor support.

A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #J-18808-Ljbffr

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 theflexibility to do your best work. Creating a career you love? It's Possible. Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You'll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models at Pinterest. What you'll do: Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations. Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture. Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features. Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability. What we're looking for: Bachelor's degree in a relevant field such as Computer Science, or equivalent experience. 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years). 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework. Deep knowledge with building distributed systems or recommendation infrastructure. Strong cross-functional collaborator and communicator. Strong people development skills. You have helped people grow in their careers. 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 times per week and therefore needs to be in a commutable distance from one of the following offices [SF, PA, SEA,]. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-AG8 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$208,454-$364,795 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 completethis formfor support.

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 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 Qualifications 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 ************************************** 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: ********************************************

A leading tech company is seeking an RTL Design Engineer in Sunnyvale, CA to shape the future of AI/ML hardware acceleration. The ideal candidate will work on cutting-edge TPU technology, taking part in ASIC development to enhance computational efficiency in data centers. Responsibilities include defining project scope, design, and documentation of next-generation data center accelerators, alongside collaborative efforts with cross-functional teams to drive innovations that empower billions of users globally. Comprehensive education and experience in relevant engineering fields are essential. #J-18808-Ljbffr

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 theflexibility to do your best work. Creating a career you love? It's Possible. We are seeking an Analyst of Sales Finance to join our Finance team. You will work on a high-performing, high-impact team that delivers CFO-level partnership and sophisticated analytics to our Chief Revenue Officer and their global leadership team. Within the Finance organization, you'll support Sales Finance Managers, our Senior Manager of Sales Finance, Director of Sales Finance, and Senior Sales & XFN Stakeholders on aspects related to revenue forecasting, insights, and goal-setting. You will partner with Sales leaders on ideas to improve their P&L. This includes identifying underlying trends and consulting on strategic business decisions. Your role is to translate complex data into actionable insights, which means you can focus on the details but also solve big-picture challenges. You'll have the opportunity to put your fingerprints on a unique and dynamic digital ads platform with global reach. The Sales Finance team's mandate is to optimize value creation for Pinners, advertisers, and Pinterest through disciplined business leadership and seamless financial execution. We do this by developing financial forecasts, providing decision support through analyses, generating internal reports, monitoring key performance indicators, and scaling financial processes. We are looking for an expert in Finance & Strategy who uses an analytical, collaborative, results-oriented approach to drive progress. What you'll do: Support revenue and performance management of key sales verticals. Build sophisticated models that will deliver cutting-edge insights and improve revenue forecasting. Own delivery of financial reporting to Pinterest executives (e.g. Director of Sales Finance, CFO as well as Sales leaders including the CRO and their direct reports). Create dashboards and models to scale monitoring of key performance indicators and tools to drive strategic insight. Support other strategic programs within Pinterest like agencies, resellers, and partnerships with advertisers. Leverage your superior financial modeling skills in order to deliver ad hoc analyses. What we're looking for: Bachelor's degree in a relevant field, such as Accounting, Finance, Economics, or Business or 3+ years of experience in Sales Finance, Corporate Finance, FP&A, Investment Banking, or other quantitative fields. Exceptional spreadsheet skills with experience creating financial models and dashboards. Excellent verbal and written communication as well as presentation skills (Google Slides). Ability to multi-task and deliver against tight timelines. Basic SQL experience is preferred, but not required. 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/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-PW1 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$81,921-$168,660 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 completethis formfor support.

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: ********************************************

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 theflexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative interns to join Pinterest's IT team and help build the next wave of internal collaboration and productivity capabilities. You'll partner with stakeholders and crossfunctional teams to learn how largescale internal systems are architected, automated, and integrated-shipping real configurations, services, and integrations that streamline how Pinployees work. Expect meaningful projects, supportive teammates, and plenty of opportunities to explore ideas that make a measurable impact on Pinterest and our Pinners. What you'll do: Engage in a specific project within the Pinterest IT team, involving technical solutions for real-world use cases for collaboration & productivity technology. Collaborate across major SaaS platforms such as Jira, Confluence, Slack, and other widely used software stacks, leveraging platforms employed by numerous tech companies and industries to drive revenue growth. Gain experience in configuration management, architecture, integration, and systems analysis. Openly communicate new ideas and opinions as you grow professionally and personally, seizing learning and development opportunities. Contribute to real projects alongside your team, making a tangible impact on Pinterest's success. What we're looking for: Prior experience or exposure to SaaS tools, engineering tools, and process mapping. Passion for collaborating with others on a team to progress projects Ability to present your work in front of technical and non-technical audiences. This position requires current enrollment in a school or education program in which the individual is working towards a Bachelor's in Computer Science, IS/MIS, or other engineering areas or a related technical field Obtain Bachelor's in Computer Science, IS/MIS, or other engineering areas or a related technical field by June 2027 We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. 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. 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 The minimum and maximum salary for this position is $7,500 - $9,000 monthly. This position is remote and not eligible for relocation assistance. #LI-REMOTE 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 completethis formfor support.

Bachelor's degree in Computer Science or equivalent practical experience. 15 years of experience leading software teams across multiple geographies with a focus on developing AI and ML-based solutions in health. Experience with leading research and development initiatives. Preferred qualifications: Master's or PhD in Computer Science or equivalent practical experience including fields like Bio Engineering. Experience developing AI and ML-based solutions for consumer health including contributions to foundation model development, agentic architectures, and health sensing algorithm development. Experience in leading customer health and wellness engineering and Research and Development (R&D) efforts. Experience developing regulated health algorithms. Experience on working with highly cross-functional teams. Understanding of the limitations of sensing and AI capabilities to help inform strategy on how to address those gaps, as well as an understanding how best to translate research into practice. About the job As Director of Research and Engineering, you will lead a research and engineering team focused on delivering an AI-based health and wellness experience and health sensing solutions that leverage all of the emerging AI capabilities in the computing community, as well as the best that Gemini base model offers. You will utilize experience in AI, machine learning, and health sensing, and an understanding of the process of scaling and shipping these kinds of AI-centric products. The role is highly cross-functional and you will work across many organizations including Research, Product, Program, UX, all other parts of Engineering, and legal/regulatory. You will be fully accountable for marshaling resources, managing all aspects of the team's work in this area, setting and driving the strategic direction, and creating a highly collaborative environment both within and outside of the team. The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users' homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it. The US base salary range for this full‑time position is $294,000-$414,000 + 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 Deliver an excellent personal health agent and health sensing algorithms by leveraging emerging AI capabilities and Gemini. Oversee the entire lifecycle of new health features, from initial research and roadmap development to productization, including the early discovery phase and translating those innovations into user‑facing products. Work with a wide range of teams, including Research, Product Management, Program Management, UX, Engineering, and Legal/Regulatory, and educate other functions on the possibilities and limitations of new technologies. Lead a team of software engineers and research scientists. Develop strategies to navigate the complex and novel regulatory environment of health technology. Be fully accountable for the strategic direction of the personal health agent and health sensing initiatives, including resource allocation. 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. 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. #J-18808-Ljbffr

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 San Francisco, New York or Chicago and is not eligible for sponsorship. 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. As a Sales Development Representative, you will assist in generating new business by qualifying inbound leads and driving various outbound campaigns but, more importantly, you will focus on the development of the individuals qualifying those leads. Sales Development roles exist in each of the LinkedIn divisions (see below). LinkedIn's Talent Solutions (talent.linkedin.com) help companies find and engage the best talent using the world's largest professional network. LinkedIn Talent Solutions provides innovative recruiting tools to help our customers become more successful at talent acquisition. LinkedIn provides to the customers the opportunity to change the hiring and selling process, through our Corporate Solutions. As a Sales Development Representative, you will assist in generating new business opportunities by qualifying inbound leads and/or driving various outbound campaigns and creating the pipeline for the growing business in the region. What You'll Do: Qualify and develop inbound and/or outbound sales leads Run campaigns to generate new sales prospects Complete accurate tracking of communication with current and potential customers in SalesForce.com Work with the Account Executive team to design industry-specific outbound efforts and define the best strategy to approach new leads Schedule demonstrations between account executives and potential customers Use the best social selling techniques (Sales Navigator) to identify sales leads and be able to prospect into them High volume of calls with Decision Makers to identify the "pain", which could be addressed by LinkedIn Corporate Solutions Responsible for the majority of the Account Executive pipeline Qualifications Basic Qualifications: * 1+ years of professional and/or internship experience in sales, marketing, recruiting, lead generation, inside/outside sales or related experience in a quota-carrying role. Preferred Qualifications: * Experience working with Salesforce.com or other CRM platforms * Expert knowledge of MS Office (Outlook, Word, PowerPoint and Excel) * Excellent communication, interpersonal, organizational and telephone skills * Ability to effectively manage time, prioritize tasks and work within deadlines with little supervision * Ability to analyze business opportunities and read situations well * Ability to gather and use data to inform decision making and persuade others * Ability to develop compelling strategies that deliver results with a strong attention to detail * Ability to work in a fast-paced, startup environment Suggested Skills * Communication * Negotiation * Analytical skills LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $64,000 to $92,000. 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: ********************************************

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 theflexibility to do your best work. Creating a career you love? It's Possible. Content Mining identifies the best sources to acquire content for Pinterest (websites, merchants, social accounts), optimizes how we acquire it, and extracts structured attributes from that content at high scale. Our work powers inspiring, accurate, and engaging Pins. This is a high performing end to end ML team, with a recent paper in KDD: "Cross-Domain Web Information Extraction at Pinterest".We're hiring a Staff ML Engineer to serve as the technical lead for a 5engineer team (4 MLEs + you). As a tech lead, you will define the multiquarter technical vision and roadmap, lead execution and mentor engineers. The majority of your time will be spent with handson designing, training, and shipping ML systems-especially LLM/NLP models for extraction and What you'll do: Technical leadership Own the longterm architecture, roadmap, and execution for source discovery, acquisition optimization, and content understanding. Lead design reviews, set engineering standards, and drive crossteam alignment with Product, Data, and Infra. Mentor and uplevel MLEs through technical direction, pairing, and reviews. Modeling and systems Train/finetune LLMs and NLP models for classification, extraction, and instructionfollowing; design eval loops and guardrails. Design features and frameworks for sharing features across models. Productionize models for large-scale inference; drive latency, reliability, and cost efficiency (quantization, distillation, caching). Data, experimentation, and quality Establish offline/online evaluation, gold sets, and automated regressions; run A/B and canary/shadow launches. Work with human and automated labeling sources to define data labeling standards. Partner on data strategy, labeling/weak supervision, and feedback loops to expand coverage and improve precision/recall. Operational excellence Define and meet SLOs for data quality, model performance, and serving reliability; lead incident playbooks and postmortems. Measure and drive downstream impact on revenue and engagement. What we're looking for: 5+ years building ML products endtoend, including 2+ years as a tech lead driving multiquarter roadmaps and crossfunctional execution. Deep handson experience with NLP/LLM training and inference (PyTorch, Python); strong grounding in evaluation, prompt/data design, and finetuning. Proven track record shipping models at scale: feature/data pipelines, online serving, monitoring/observability, and cost/perf tradeoffs. Strong software engineering in Python with an eye for software engineering best practices. Experience mentoring senior engineers and influencing partner teams. Masters or PhD in ML related studies. LLM efficiency techniques (LoRA/adapters, distillation, quantization, prompt caching) and cost control strategies. MLOps at scale with tools like Airflow, Spark/Presto, Triton, vLLM. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlexpage 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/quarter and therefore can be situated anywhere in the province of Ontario. #LI-REMOTE #LI-AK7 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 completethis formfor support.

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 theflexibility to do your best work. Creating a career you love? It's Possible. We're seeking a software engineer to help Pinterest build and lead the next generation of stream processing platform and infrastructure. You'll be working on some of the most exciting big data open source technologies (Flink, Kafka, RocksDB, and more), at the scale of tens of millions of messages per second with terabytes of data to help Pinners discover and do what they love. What you'll do: Lead the strategy and technical direction of Pinterest's Streaming platform Improve and customize the internals of open source Flink to meet our challenges at scale and actively participate in open source community Build and scale stream processing frameworks and infrastructure to process millions of messages per second with terabytes of state Work with internal customers on critical business use cases that rely on low latency stream processing Provide thought leadership to the entire company on how real-time data should be processed and stored more reliably, quickly and efficiently at scale Contribute to the team's technical vision and long-term roadmap What we're looking for: 8+years of industry experience with a proven track record of technical excellence 5+ years of experience of building and support large scalable big data infrastructure/platform 4+ years of experiences in contributing to open-source Flink or streaming technologies Deep knowledge of big data technologies (e.g.Flink, Spark, Hadoop, Parquet/ORC, Flink) Experience in leading cross-team engineering efforts Proficiency in one or more programming languages (Java, Scala, Python) Experiences in Kubernetes and AWS technologies BS+ degree in a relevant field such as Computer Science OR equivalent experience 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/quarter 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-HYBRID #LI-AH2 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$177,185-$364,795 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 completethis formfor support.

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 San Francisco Bay Area (preferred) or New York. 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. About the Role We are seeking a highly strategic, hands-on, customer-obsessed senior insights leader to lead our Brand and Consumer Insights function. You will be a full-stack insights builder and partner to the Brand Center of Excellence who redefines how our clients harness LinkedIn and how our internal teams partner cross-functionally as well as the Consumer Marketing team who shapes how LinkedIn shows up for our members, helping them navigate their career, and finding jobs. About the Team As a part of the newly created Market Insights & Marketing Strategy function, Market Insights team is the research and insights CoE that enables LinkedIn Marketing to make confident, audience-centric, data-driven decisions that drive growth and impact across marketing's highest priorities. We create deep audience understanding, deliver well-synthesized and actionable insights from research and other data sources, utilize intelligent technology, and operate as a full-stack strategic partner. Key Responsibilities Lead Insight Development: Identify key business opportunities and develop insights roadmap in collaboration with the Brand and Consumer marketing leadership and cross functional partners. Drive Strategic Alignment: Frame strategic decisions, facilitate alignment across teams, and ensure marketing is set up to succeed through insight-driven approach. Execute Research: Design and conduct qualitative and quantitative research to inform marketing strategy, brand development, and go-to-market planning. Synthesize & Translate Insights: Integrate findings from multiple sources (primary research, behavioral data, market trends) into clear, actionable recommendations. Influence & Communicate: Deliver compelling insights that inspire action across Brand and Consumer Marketing and executive teams. Ensure insights are embedded into decision-making processes. Commercialize Insights: Partner closely with the marketing team to ensure insights are not only understood but also applied to drive measurable business outcomes. Qualifications Basic Qualifications: 12+ years of experience in market research, consumer insights, strategy, or related fields. 5+ years in a leadership role, leading teams and driving cross-functional influence at a senior level in highly complex matrix organizations Preferred Qualifications: Proven expertise in both qualitative and quantitative research methodologies. Strong track record of influencing marketing strategy and product development through insights. Experience synthesizing diverse data sources into cohesive, actionable narratives. Exceptional communication and storytelling skills. Strategic thinker with a pragmatic, logical approach to problem-solving. Demonstrated ability to thrive in fast-paced, ambiguous environments. Background in management consulting or boutique marketing/insights-based consulting firms strongly preferred. Suggested Skills: Marketing research Data synthesis and insights generation Marketing strategy Executive stakeholder management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $179,000-$280,000. 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 [email protected] 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 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: ********************************************