Airbnb jobs in San Francisco, CA - 3695 jobs

The Community You Will Join: Research has been part of Airbnb from the beginning, ever since Paul Graham told the Airbnb founders, "go to your users." As designers, the founders embraced this advice and got on a plane to meet with Airbnb hosts that very weekend. Since those early days, the value of research has been baked into Airbnb's product culture. The Difference You Will Make: We are looking for a mixed methods researcher with a strong foundation in, and passion for quantitative research in addition to an ability and comfort to flex into qualitative projects as needed. In this role, you will use your knowledge of research design and quantitative analytical skills to plan and execute large-scale data collection, uncover insights from qualitative and quantitative data, and translate those insights into strategic and actionable recommendations. Your research will focus across methods and Airbnb's online and offline experience-after all, most experiences with Airbnb happen when travelers are not using our digital products. And you are at the front lines of delivering insights from around the world, making Airbnb a truly global/local product. A Typical Day: Conduct practical and impactful quantitative research on our community of hosts and guests. Uncover insights about users by using sophisticated and innovative methodologies, measurement strategies, experiments, and mixed-methods research. Partner and share insights with product teams, other insights teams, data scientists, marketers, policy managers, and executives. Your Expertise: Masters or PhD in Psychology, Survey Science/Methods, Human-Computer Interaction, Economics, Political Science, or a related field 10+ years of industry experience Strong storytelling skills, ability to bring data and insights to life in compelling ways for varied audiences Experience with statistical analysis, modeling, experimental design, and survey design Experience with statistical analysis packages and (R, Stata, SPSS, etc.) Experience with survey programming platforms (Confirmit, Qualtrics, etc.) Experience conducting in-depth interviews and foundational qualitative methods Comfort using usability testing tools (UserTesting, dscout, outset.ai, etc.) Experience managing projects involving cross-functional teams Familiarity with SQL Bonus Experience: 6+ years in-house experience working in tech, hospitality, or a dual-sided marketplace Experience with ETL and Python Coding/scripting skills Experience with cross-cultural products or international surveys Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most - their team, their guests, and their bottom line - while enabling diners to discover and book the perfect restaurant for every occasion. Every employee at OpenTable has a tangible impact on what we do and how we do it. You'll also be part of a global team that includes and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture. About the Role OpenTable, part of Booking Holdings (NASDAQ: BKNG), is seeking a highly skilled and motivated attorney to join its Legal team as a Senior Director, Legal, reporting to the General Counsel. This role is based in San Francisco, California with a hybrid work model of 2 days per week in office. This is a broad and high-impact role designed for a legal generalist with employment and litigation subject matter expertise. This role will own litigation and employment matters, while also providing leadership and strategic decision‑making across commercial, product, and regulatory matters. This role is well‑suited for a collaborative business‑minded leader who thrives in a fast‑paced, global technology environment. Key Responsibilities Team Leadership & Generalist Legal Support Provide strategic advice, decision‑making support, and leadership across the full range of legal issues facing the company. Manage and mentor a team of commercial and product attorneys, ensuring consistent, practical, and business‑oriented legal advice across functions. Collaborate with our senior leadership and advise on high visibility, high impact strategic initiatives and commercial partnerships and product launches. Serve as an escalation point for the team on high‑impact or time‑sensitive matters. Support the company's engagement with regulators, industry groups, and external stakeholders where appropriate. Litigation Management & Employment Matters Oversee active litigation and dispute matters, coordinating with external counsel as needed. Provide strategic guidance to minimize exposure and resolve disputes effectively. Manage internal stakeholder communication, document collection, and timelines related to litigation matters. Serve as lead advisor on global employment policies, procedures, and applicable labor law requirements. Provide practical, business‑oriented advice on a broad range of employment law issues, including performance management, terminations, employee relations issues, pay transparency, immigration, equity/compensation, and workplace accommodations. Partner with the People Team (HRBPs, HR Ops, Recruiting, Compensation & Benefits) to design and implement legally‑compliant policies, programs, and processes. Collaborate with the Compliance & Ethics team on sensitive workplace investigations, company‑wide compliance programs, and hotline matters. Qualifications Juris Doctor (JD) and active license to practice law. Minimum 8 years of combined law firm and in‑house experience, with a strong focus on strategic initiatives, employment law and litigation management. Proven ability to manage complex contracts, litigation matters, and employment‑related legal issues. Strong business acumen and strategic thinking skills. Excellent communication and collaboration skills, with the ability to advise executives and cross‑functional teams effectively. Demonstrated success managing outside counsel and achieving cost‑efficient, strategic outcomes in litigation. Experience managing and mentoring attorneys; demonstrated ability to lead a team. Knowledge of regulatory frameworks relevant to technology companies (e.g., competition, consumer protection) strongly preferred. Highly strategic and analytical with strong ability to issue‑spot, assess and communicate risks, make common‑sense decisions in the face of ambiguity, and find flexible/creative solutions to achieve business goals. Ability to balance multiple matters simultaneously and to respond quickly to shifting priorities. Strong problem‑solving skills, and the ability to make sound decisions in ambiguous or fast‑moving environments. Excellent verbal and written communication skills, interpersonal skills, and the ability to build trust across all levels of the organization. Excellent judgment, high integrity, and strong interpersonal skills, and a “can‑do” attitude. Highly motivated, resourceful, and able to balance multiple priorities under tight deadlines. Adaptability and openness to taking on new or unfamiliar legal areas. Benefits and Perks Work from (almost) anywhere for up to 20 days per year Company‑paid therapy sessions through SpringHealth Company‑paid subscription to Headspace Annual company‑wide week off a year - the whole team fully recharges (and returns without a pile‑up of work!) Paid parental leave Generous paid vacation + time off for your birthday Access to thousands of on‑demand e‑learnings Travel discounts Employee Resource Groups Free lunch 2 days per week Convenient downtown SF office location close to the Montgomery MUNI and BART stations. Building amenities, such as a gym, dog policy, & bike parking There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this United States based role is $220,000 - $260,000 USD. We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant. At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations. Inclusion We're committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve-and fostering a culture where everyone feels welcome to be themselves. If you need adjustments during the application or interview process, or on the job, we're here to support you. Please reach out to your recruiter to request any adjustments. OpenTable, Inc. and its respective subsidiaries (together, “OpenTable”, “our/we/us”, or “Company”) will process your personal data in accordance with applicable data protection laws for the purposes described in our privacy notice (OpenTable (Germany) and OpenTable (All Other Locations)). As part of the application process OpenTable may share your personal data across our group of companies, subject to our privacy notice and applicable laws. In order to consider you for new positions, OpenTable may keep your personal data for 6 months (within the EU) and 2 years (in all other regions), unless otherwise required by applicable law. #J-18808-Ljbffr

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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 [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: ********************************************

The Community You Will Join: Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company. The Difference You Will Make: The Service Framework team's mission is to provide the runtime for online JVM applications that are on the realtime serving path, and the interface for backend developers to interact with the runtime. When things are going well, developers at Airbnb who are working on the real-time serving path should not have to think about the runtime. It should work seamlessly while keeping Airbnb reliable, cost-efficient, and secure. As a senior engineer on this team, you will become a steward of our backend monorepo, responsible for projects such as service IDL optimization, integration testing tooling, and programming model support (e.g., sync/async). A Typical Day: As an engineer on Service Framework, you will work on technologies that help shape an industry-leading end to end developer experience for backend developers. In this role you will be: Building test frameworks to improve the confidence in rolling out large runtime changes Partnering with Airbnb's performance team to improve cost efficiency Modernizing our monorepo to use the latest versions of 3rd party languages and libraries Helping to shape the technical strategy that directly moves our core metrics (Developer Experience, Developer Velocity, Debuggability, Resilience and Reliability) Partnering with engineering leaders across all Airbnb teams for adoption of the new capabilities. Your customers will be all engineers at Airbnb. A player/coach of our high-performance team to ensure code quality, commitment to craft and operational excellence Your Expertise: Experience working on distributed systems, API design, and concurrency Extensive JVM experience Bonus points for any of the following: instrumentation/telemetry, cloud (especially AWS) cost efficiency, L7 networking, service mesh, libraries, serialization, or developer tooling Want to tackle projects with large open-ended scope and drive significant business impact Love collaborating via product reviews, code reviews and architecture discussions Are motivated to improve their teammates' productivity Are excited to join an impactful infrastructure team Minimum Requirements: 9+ years industry experience Bachelor's and/or Master's degree, preferably in CS, or equivalent experience Proficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.) Experienced in architectural patterns of a high-scale distributed products/services, such as well-designed APIs, data pipelines and efficient algorithms Experience or desire to work collaboratively in cross-functional teams with design, product and data science partners Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

The Community You Will Join: We are looking for an Advanced Analytics lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Aircover and Insurance organization. The Difference You Will Make: Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions. Drive day to day product analytics and create scalable data tools Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest and host community A Typical Day: Build metrics and dimensions in data warehouse to support business decisions Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations. Define how to best measure the performance of Airbnb product and business through new metrics and dimensions. Align with stakeholders, understand tradeoffs and guardrails, prototype metrics through custom data pipelines. Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumptions within Airbnb. Your Expertise: 5+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement Experience in analysis of A|B experiments and statistical data analysis Experience designing and building metrics, from conception to building prototypes with data pipelines Strong knowledge in at least one programming language (Python or R) and in SQL Ability to drive data strategies, with a central source of truth to impact business decisions Knowledge and experience in insurance industry - a plus Knowledge and experience in customer experience measurement - a plus Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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 Bay Area. 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 a Vice President of Corporate Strategy & Development to enable LinkedIn's enterprise-wide growth through both organic and inorganic paths. Their leadership will shape LinkedIn's long-term strategic direction by identifying, evaluating, and framing the next horizons of growth, while driving inorganic growth through sourcing, evaluating, and executing strategic investments, acquisitions, and partnerships that accelerate our strategic roadmap and market expansion. This leader will expansively explore where and how LinkedIn can extend and maximize its impact across our marketplaces and businesses - challenging conventional assumptions, surfacing new strategic options, and providing clear, data-driven recommendations on where to play and how to win. This leader will partner with the executive team and business leaders to ensure that LinkedIn is seizing transformational opportunities and building the capabilities required to scale our vision, mission, and impact globally. Key Responsibilities Market Intelligence - Surface high-quality insights from a deep understanding of industry trends, competitive dynamics, and emerging technologies. Maintain continuous landscape and competitor tracking, leading indicators, and a watchlist of threats and opportunities to enable robust thesis development. Engage directly with the external ecosystem-venture investors, founders, analysts, and partners-to stay close to innovation and identify early signals of disruption. Strategic Exploration - Conduct cross-market deep dives and category explorations to uncover greenfield opportunities, new rows of growth, and capability gaps; pressure-test the company's strategic choices with clear build/buy/partner options. Inorganic Growth - Source, evaluate, and execute acquisitions and investments that advance strategic priorities; manage all deal phases, from target identification through Day-1 readiness, integration and tracking of investment performance. Executive Engagement - Partner closely with members of the LinkedIn Executive Team to shape the strategic agenda through monthly forums, investment/market briefings, and long-term growth discussions connected to the exec operations calendar. Team Leadership - Manage and develop a high-performing team; foster a collaborative and inclusive team culture. Qualifications Basic Qualifications Bachelor's degree in Business, Finance, Economics, or related field 15+ years in management consulting, corporate strategy, corporate development, investment banking, private equity, or venture capital Preferred Qualifications Strong analytics, financial modeling, and valuation acumen Executive presence, exceptional communication, and stakeholder management in complex, cross-functional environment Demonstrated ability to attract, develop, and manage high-performing teams MBA or advanced degree preferred Proven track record leading end-to-end M&A transactions and/or strategic initiatives in a fast-paced, high-growth environment Exposure to technology, SaaS, or consumer internet sectors Ecosystem thinker that is able to balance unconstrained ideation with structured analysis and objective yet opinionated recommendations Suggested Skills Market Intelligence Strategic Exploration Executive Engagement Team Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $314,000-$510,000. 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: ********************************************

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

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

The Community You Will Join: We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. The Difference You Will Make: Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions Drive day to day analytics and create scalable data tools Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community In addition, you will leverage Airbnb's rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb's community safe and trusted. You are passionate about solving complex problems within the Community support domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey A Typical Day: Lead and drive data-driven roadmaps for the CS working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product, Operations & Engineering managers of varying technical levels Build the business insights & reporting platform to detect and support the driving efficacy and efficiency of behaviors and product interfaces and processes across CS platform and contact center network Perform data modeling of the various entities and using tools & frameworks for optimizing community and agent experiences Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space Your Expertise: A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Have experience supporting community support and/or have worked closely with operations teams Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow) Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

We are looking for a Data Center Strategy & Planning Manager with experience in developing infrastructure strategies and programs to join the Strategic Planning team within the Data Center organization. In this role, you'll be part of the team that builds Meta's global data center roadmap, develops end to end infrastructure scaling strategies, and develops plans to drive efficiency in our infrastructure that set the direction for one of the fastest growing platforms in the world. As a Data Center Strategy & Planning Manager, you will be accountable for driving investment decisions that cover billions of dollars and help scale our data center footprint efficiently to meet our growing product and service needs. This is a unique opportunity where you will be responsible for developing and leading transformational strategic initiatives and capacity programs from inception, evaluating trade-offs, and driving recommendations to executive leadership, and taking them through implementation. This is an individual contributor role, where you're at home rolling up the sleeves and being in the details, as well as being experienced to think big picture, project manage complex initiatives, and influence partner teams to change the status quo. This is a highly cross functional role where you will be expected to partner with our data center capacity stakeholders (capacity engineering, network engineering, construction, site selection, site & facility operations, network, finance). Minimum Qualifications * Bachelor's degree in a directly related field, or equivalent practical experience * Bachelor's degree in a management, technical or engineering field * 16+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, Supply Chain Optimization, technology strategy consulting * Experience distilling various data points into actionable insights and recommendations, to quickly separate signal from noise for executive communication and decision making * Business acumen and intuition, with the experience to form and refine hypotheses into an actionable analysis and recommendation * Problem solving and strategy skills, including expansive opportunity identification and framing of complex/ambiguous problems * Experience in completing multiple cloud/infrastructure/hardware efficiency or optimization projects * Technical experience in infrastructure, hardware or similar designs * Experience collaborating and working with internal and external organizations and individuals Preferred Qualifications * Masters Degree Responsibilities * Leverage technical experience and expertise, to Identify and build large transformational programs and initiatives across Infrastructure that scale Meta's Data Center footprint efficiently * Develop new Data Center planning strategies that focus on driving improvements in reliability, and achieve cost and operational efficiency including reductions in deployment times, improvements in data center power utilization, and service placement optimizations * Optimize network, hardware and DC infrastructure footprints to drive efficiency * Develop detailed project evaluation plans for data center plan evolution and set the pace to drive closure * Apply quantitative techniques, develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest level in the organization * Own the communications strategy for data center planning decisions which includes executive level and detailed project briefs and status updates * Use technical judgment to drive new project evaluations, technology reviews and proposals building consensus About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

The Community You Will Join: The iOS Platform team's mission is to provide best-in-class experience for iOS development at Airbnb to empower engineers to deliver innovative solutions with high velocity and quality at scale. We're ambitious in our vision, and our work spans a large surface area, from frameworks and tooling to build systems, CI, Testing, and Xcode IDE integrations. We maintain and evolve the core libraries & frameworks that underlie most of the Airbnb iOS app and enable product engineers to build great features. Our application is nearly 100% written in Swift and we adopt the latest Apple technologies including SwiftUI, Swift Macros, Swift Testing, structured concurrency, and Combine. The Difference You Will Make: In this role, you'll be responsible for driving projects that increase the productivity of the iOS community at Airbnb and unlock new capabilities through a combination of frameworks and toolings. A Typical Day: Collaborate with team members & cross functional partners to identify opportunities for improving our developers' productivity. Drive roadmap projects and deliver high quality results to further our mission. Improve our existing frameworks & toolings to deliver on our ambitious vision. Your Expertise: 5-9+ years of industry experience building iOS apps. Experience building frameworks, including integration with code generation Deep iOS expertise with experience in foundation/platform/infrastructure development iOS product feature development experience Experience working in medium to large-scale codebases. [Nice to have] 2+ years of experience using SwiftUI [Nice to have] 2+ years of experience using Apple's modern concurrency offerings, Combine and Swift Concurrency [Nice to have] Experience leveraging Agentic AI to drive large scale migrations Ability to travel to the San Francisco office for about a week each quarter for gatherings. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

_corporate_fare_ Google _place_ San Francisco, CA, USA; Mountain View, CA, USA **Early** Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Francisco, CA, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 2 years of experience in advertising, sales, marketing, consulting, or media. + Ability to travel up to 20% of the time. **Preferred qualifications:** + Experience in launching and managing paid digital advertising campaigns, particularly in Google Ads and other digital marketing platforms. + Experience in assessing and achieving client success via sales techniques, including effective questioning and selling. + Experience working with channel sales, advertisers, agencies, or clients. + Ability to manage and prioritize a portfolio in an advertising or media sales context, and achieve goals to drive growth. + Ability to build compelling narratives and utilize storytelling as a client engagement strategy. **About the job** Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it. The US base salary range for this full-time position is $84,000-$120,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Build trusted relationships with key client decision-makers to understand their business objectives and marketing needs. + Analyze customer objectives, financials, and the landscape to develop high-quality agreements and align on ambitious growth goals. + Develop Google Ads knowledge to pitch powerful, customer-focused solutions with a clear value proposition. + Ensure effective campaign implementation by meticulously tracking and measuring the long-term impact of Google's solutions. + Drive future customer growth and long-term partnerships by proactively identifying new opportunities with sales integrity. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

The Community You Will Join: The Users, Listings, and Marketplaces team supports features across the application related to Guests, Hosts and Listings. These products include but are not limited to management tools for listings, enforcement/quality systems, and merchandising systems. The team works closely with product and design to ship highly visible product functionality and drive innovation within the product. The Difference You Will Make: There is huge potential for AI to how guests book and how Hosts manage listings at Airbnb. You will improve the Guest and Host experience by improving the intelligence of our product through state of the art machine learning models. This will involve close partnerships and influencing stakeholders across tech, product, and design organizations to identify, scope, and deliver AI features. While you will be leading efforts with XFN stakeholders supported by a team of engineers, you'll also be working hand in hand with the team to prototype, evaluate, and implement models. A Typical day: Your contributions take a variety of shapes: Leverage structured and unstructured data to build and continuously improve state of the art Machine Learning models for Airbnb product, business and operational use cases. Work collaboratively with engineers, product managers, data scientists, and operations to identify problems and deploy ML capabilities. Stay up to date with SoT models and prototype machine learning product features and iterate with product and design. Drive best practices, develop playbooks, and create a repeatable process for shipping quality machine learning features. Hands-on development, productionization, and maintenance of machine learning models and pipelines at scale. Your Expertise: Industry experience building and shipping end to end machine learning features 12+ years of industry experience in applied Machine Learning, with experience in both Natural Language Processing and Computer Vision A Bachelor's, Master's or PhD in CS/ML or related field Strong programming (Python / Java/ C++ or equivalent) skills with data and backend engineering expertise Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent) Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

The Community You Will Join: Providing world class customer service for our community of guests and hosts is a critical mission of Airbnb. This is an area of unprecedented scale and complexity. In no other domain the efficiency and reliability of servicing tech translates so directly into competitive advantage, brand loyalty and the fundamentals of the business. The Automation Foundation team under Airbnb Community Support is critical for the goal of creating the best customer service experience for our users. The Difference You Will Make: As a staff software engineer, you will lead two areas that are critical to Airbnb community support: Automation Platform, a large-scale, widely adopted conversational AI platform at Airbnb, You will also collaborate with different AI & ML engineering teams, cross-functional business partners and contribute directly to the success of many AI driven products for our community. Automate the provision for our internal human agents and AI agents. A Typical Day: Collaborate cross-functionally with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness. Drive the technical vision and strategy for workflow and backend optimization. Lead and contribute to the full development cycle: technical design, implementation, testing, experimentation, and deployment. Participate in code and design reviews, offering constructive feedback to improve technical quality. Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency. Your Expertise: 9+ years of software development experience in service-oriented architectures and backend development. Expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. Expertise in designing and iterating on prompt engineering to fine-tune AI capabilities for AI/LLM-driven scenarios. Expertise of RAG patterns, memory routing, and agent planning. Expertise in integrating LLMs with APIs, vector databases, and orchestration framework. Proficiency in crafting backend systems focusing on technical quality, efficiency, and resilience. Excellent collaboration and communication skills to work effectively across teams and domains. Passion for agile development, system optimization, and team productivity enhancements. Bachelor's and/or Master's/Ph.D. degree, preferably in Computer Science, or equivalent practical experience. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This role will be based in San Francisco 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 to deliver (insert marketing's mission here). **Key Responsibilities** + Lead Insight Development: Identify key business opportunities and develop insights roadmap in collaboration with Small Business 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 Small Business 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. **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 with strong focus on Small Business customers + 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 ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. LinkedIn's members entrust us with their information every day and we take their security seriously. Our core value of putting our members first powers all the decisions we make, including how we manage and protect the data of our members and customers. We never stop working to ensure LinkedIn is secure. We follow industry standards and have developed our own best practices to stay ahead of the increasing number of threats facing all Internet services and infrastructure. LinkedIn is looking for an experienced Engineering Manager to lead the Detection Engineering team in the US and to be an integral part of our Information Security organization. The Detection Engineering team is responsible for developing and maintaining threat detection capabilities, security monitoring systems, and detection rules to protect our infrastructure, applications, and, most importantly, our members. This is a key role in supporting and growing our security detection and monitoring capabilities. Responsibilities: Leadership and Team Management Lead and manage the detection engineering team, including hiring, training, and mentoring team members. Develop and maintain detection engineering policies, procedures, infrastructure, and guidelines. Coordinate and oversee all activities of the detection engineering team during threat detection development and implementation. Detection Development and Management Serve as the primary point of contact for all threat detection development and enhancement initiatives. Ensure timely development, testing, and deployment of detection rules and monitoring capabilities. Conduct post-deployment analysis and create detailed reports on detection effectiveness with KPIs, including tuning recommendations and optimization strategies. Communication and Coordination Communicate detection development status, updates, metrics and reporting, and capabilities to senior management, stakeholders, and security teams regularly. Coordinate with internal and external teams, including security operations, defense infrastructure, incident response, and product engineering teams to develop and maintain effective detection capabilities. Develop and maintain an effective detection engineering communication plan. Continuous Improvement Continuously evaluate and improve detection engineering processes, tools, and capabilities. Conduct and report on regular detection testing and validation exercises to test and refine detection rules and monitoring systems. Stay current with emerging threats, attack techniques, and detection technologies to enhance the detection engineering program. Reporting and Documentation Maintain comprehensive documentation of all detection rules, including development rationale, testing results, and performance metrics. Prepare and present detection engineering reports and metrics to senior leadership and stakeholders. Ensure compliance with regulatory requirements and industry standards related to threat detection and monitoring. Training and Awareness Develop and deliver detection engineering training programs for team members and other relevant personnel. Promote security detection awareness and best practices across the organization. Ensure the detection engineering team is up-to-date with the latest tools, techniques, and procedures. Budget and Resource Management Manage the detection engineering budget and allocate resources effectively. Evaluate and recommend tools, technologies, and services to enhance the detection engineering program. Ensure the team has the necessary resources and support to perform their duties effectively. Qualifications Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related technical discipline, or equivalent practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training. 7+ years of experience in cybersecurity, with a focus on detection engineering, security monitoring, threat intelligence, incident response, or related security roles. Experience leading or managing a cybersecurity, incident response, or detection engineering team. Experience in cybersecurity frameworks and standards (e.g., NIST, MITRE ATT&CK, OCSF). Experience in detection engineering tools and technologies (e.g., Query Languages, CI/CD, YARA, Sigma rules, threat intelligence platforms). Experience with threat analysis, detection rule development, automation engineering, and security monitoring optimization. Project management experience with managing budgets and resources. Preferred Qualifications: Master's degree in Cybersecurity, Information Assurance, or a related field. 10+ years of experience in cybersecurity, with significant experience in detection engineering, threat intelligence, or incident response. 3+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries. Ability to work under pressure and manage multiple detection development projects simultaneously as well as managing an oncall team. Relevant certifications (e.g., CISSP, CISM, GCIH, GCFA, SANS). Experience in developing and delivering detection engineering training and awareness programs. Strong proficiency in Kusto Query Language (KQL) and SQL. Proficiency in programming or scripting languages (e.g., Python, Go, etc.) for automating detection development and testing processes. Experience with cloud security and detection engineering in cloud environments especially Azure. Knowledge of advanced threat detection techniques, including threat hunting and behavioral analysis as well as applied threat intelligence. Familiarity with detection engineering frameworks and best practices (e.g., Sigma, YARA, STIX/TAXII, OCSF). Strong communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders. Suggested Skills : Security Information and Event Management (SIEM) Query languages (KQL, SPL, SQL, Elastic, etc.) Detection Rule Development (YARA, Sigma) Scripting and Automation (e.g., Python, PowerShell, SQL) Threat Intelligence Integration Cloud Security (e.g., Azure, GCP) You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** 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 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in San Francisco, Mountain View, Sunnyvale, CA or Omaha, NE. Looking for an opportunity to transform a business? LinkedIn is looking for a strategic, customer-focused leader to champion product quality in an extremely fast-paced, hyper growth environment. Your team will monitor product health and quality based on data gathered from multiple sources (including real-time product monitoring, member escalations, social media, and help center discussions), prioritize issues, and work directly with Engineering and Product Management to implement changes to deliver the best member and customer experience possible. Your team is the last stop before engineering, so the most complex issues not resolved through other support channels are escalated to your team to investigate, triage, and resolve. In addition to providing operational support for member escalations, your team is chartered to champion product quality, and it is your role to drive strategic initiatives to improve product quality across your suite of products and the entire company. Your team plays an essential role in raising the bar of product quality by advocating the user's perspective, providing technical insights, and fostering collaboration. As a Director of Product Quality, you will have large, end-to-end scope for a multibillion dollar line of business, working across the entire ecosystem of LinkedIn, to strategically implement proactive friction identification and swift resolution. This role is an important lynchpin among front line support, sales, and R&D teams. Success requires building relationships among our strategic customers, sales, engineering, and product leaders. This person will embody our values of “act like an owner” and “dream big, have fun, and get stuff done” while raising the bar on quality and customer delight, by focusing on experimentation and innovation that improves our customers' ability to create and achieve economic opportunity. This role requires a tenured people leader, with a passion for developing and transforming your team. This team is geographically distributed and functionally embedded with the various product engineering teams, so it is essential that you are a manager and a leader that can build, develop, and lead teams that operate autonomously and effectively. If you have the right combination of technical skills, business acumen, and leadership ability and are interested in delighting our members and customers by elevating quality standards and delivering actionable insights, we are looking for you. Responsibilities: Attract, develop, and lead a team of Product Quality Managers who serve as the primary interface between the Member & Customer Success organization (MCS) and Engineering & Product teams(R&D) Partner with Engineering and Product leadership to enhance product quality and craftsmanship. Improve operational efficiency across all LinkedIn consumer products. Shape vision & strategy to make LinkedIn products friction free and drive alignment across cross-functional teams. Lead by example and inspire the team to innovate and to perform at a very high level, collaborating effectively across several engineering, product, operations, and sales teams. Define a best-in-class product technical support model & hiring profile. Promote the LinkedIn brand by ensuring high quality product experiences, defining & holding others accountable for SLAs, and determining escalation paths and thresholds for business-critical bugs that affect members and customers. Conduct monthly & quarterly quality reviews to draw insights and drive influence. Drive analysis of strategic opportunities, lead growth initiatives and special projects, leverage data teams to provide operational dashboards & quality driver analysis on a regular basis. Champion a culture of Members First by leading initiatives to deliver delightful customer experiences. Champion a culture of diversity, inclusion and belonging and Speak Up within the organization. Qualifications Basic Qualifications: Bachelor's degree in fields such as Computer Science, Computer Engineering, Electrical Engineering or a related field or equivalent experience. 10+ years in software engineering, quality assurance, product operations, technical support, or similar technical field. 5+ years in people leadership. Demonstrated strategic implementation of project or program management. In a strategic and analytical leadership role partnering with Product and/or Engineering leaders. Preferred Qualifications: MBA degree. 3+ years managing managers, overseeing global, distributed teams. Technical capabilities in Engineering, QA, TPM, Analytics, Product Operations, Escalation support or other technical functions. Results-orientated and track record of operational success. Demonstrated tenure utilizing data to identify critical trends and derive insights to inform strategy and operational changes. Knowledge and perspective on product quality & operational best practices. Efficiency communicating complex subjects to both technical and non-technical audiences at all levels. Spearheading cross-functional programs. Suggested Skills Strategic Thinking Team Building Executive Presentation Change Management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $182,000 to $299,000. 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 Hiring Team Description: A Partner Solutions Engineer would have deep expertise in LinkedIn's API products and technical solutions. You will develop strong relationships with internal stakeholders to launch new API products and help enterprise partners integrate. You will be responsible for enterprise partners CSAT, program health, and monthly enterprise partner operations review. You may drive adoption of LI's API products in the marketplace by managing a portfolio of high touch enterprise partners or lead product adoption across a broad base. You will understand feature gaps in API, product, or partner offering and explore solutions to address gaps and drive client success. This role will be based in San Francisco, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: Act as the technical subject matter expert and solution engineer for enterprise partners. Identify, drive and optimize the user experience, engagement and business growth for partners leveraging LI API products Understand enterprise partner's product adoption progress and consult product and engineering teams to accelerate LinkedIn best practices. Understand and document enterprise partner's technical implementation. Facilitate enterprise partners with onboarding, provide technical development and coding support, and provide guidance to partners during testing and pre-launch activities. Build relationships with the technical teams and decision-makers at enterprise partners. Understand enterprise partner's platform architecture and become a consultant to engineering leadership to help these partners build scalable integrations through best practices adoption. Act as a technical partner providing program management to ensure partner success. Act as a technical partner to BD & Product teams to support new and existing enterprise partners. Design effective launch programs with enterprise partners to ensure that new products and feature releases are tested before broad-scale deployment. Ensure existing new enterprise partners brought into the ecosystem by BD are successfully adopting new products. Be the voice of our enterprise partners back to LinkedIn. Drive product improvements & platform best practices by contributing to Voice of enterprise partners back to LinkedIn's lines of businesses. Qualifications Basic Qualifications: BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. 2+ years of industry experience. Preferred Qualifications: BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. Exceptional written, presentation and oral communication skills, and the ability to create and present solutions to partners. Experience integrating enterprise services, either as a consumer or a provider Experience managing external partners/customers and working with product, business development and engineering Experience working in highly collaborative environments Experience in one or more of the following: Enterprise Architecture, SaaS Integration, API Management, PaaS and IaaS UNIX scripting experience Suggested Skills: Enterprise Architecture SaaS Integration API Management PaaS/IaaS UNIX Scripting You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [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: ********************************************