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Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). 5 years of experience coding in one or more programming languages. 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. Preferred qualifications: Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math). Experience with data warehouses, large-scale distributed data platforms, and data lakes. Ability to navigate ambiguity in a fast-paced environment with multiple stakeholders. Excellent structured thinking skills, with the ability to break down complex, multi-dimensional problems. Excellent business and technical communication, organizational, and problem-solving skills. About the jobgTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users. The YouTube team helps budding creators build careers, artists and media companies reach audiences, and create products like YouTube Kids, YouTube Music, and YouTube TV. The YouTube Business Strategy and Operations team is responsible for driving all go-to-market functions for the YouTube business organization.As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals who work on impactful projects. You will build the data sets that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts across the organization to drive reporting and insights. You will be responsible for democratizing YouTube’s business data, helping business leaders make sense of business operations through timely, accurate, and business intelligence. You will build and maintain the YouTube ETL systems to produce useful datasets, establish best practices for data sets and reporting, and develop a breadth of expertise in various data domains.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Build and maintain data platforms to enable data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets. Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs. Design, build, and optimize the data architecture and Extract, Transform, and Load (ETL) pipelines. Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models. Engage with the analyst community, understand critical user journeys and data sourcing inefficiencies, advocate best practices and lead analyst trainings. Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a people management role; overseeing projects, with 2 years of technical leadership experience, supervision/team leadership role. Experience designing and implementing efficient large-scale distributed systems through the full project life-cycle. Preferred qualifications: Experience working with advanced AI/ML analytics solutions involving machine learning and statistical analytics. Experience implementing and integrating third-party applications within Finance, Supply Chain, Human Resource (HR), Marketing etc. Conceptual, logical and physical data modeling and data architecture experience. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.Enterprise Data Platform and Governance Team (EDP and G) is responsible for Data Architecture, Data Engineering, and Analytics technologies that empower our partners in engineering and business to deliver critical corporate functions.As an Engineering Manager, you will help conceive and deliver solutions to meet the data and analytics needs. You will drive high-impact projects to deliver data management and investigative solutions for our partners across Google.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Lead strategic programs to build Artificial Intelligence (AI)-Ready Data products and enable enterprise data infrastructure for highly impactful, large-scale Agentic use cases. Advocate the design and implementation of semantic architectures that embed critical business context into the data layer, empowering next-generation AI agents to reason effectively. Influence the Connected Data strategy to enable consistent, secure data assets based on canonical entity schemas to support richer, higher-level enterprise insights. Create and maintain logical and physical database designs, prioritizing property-graph models and flexible data architectures where appropriate to support complex semantic layers. Ensure the integrity of data, establishing strict security and governance procedures to protect and maintain the highest level of confidentiality and data security. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks. 3 years of experience in a people management, supervision, or team leadership role. Preferred qualifications: 10 years of experience in business intelligence, analytics, and data engineering related fields. 5 years of experience developing project plans and delivering projects on time within budget and scope. 5 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers. 5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms. 3 years of experience with machine learning for production workflows. Experience in programming and SQL, and with building, developing, and leading a team. About the job As a Data Engineering Manager, you will lead and empower a high-performing team of data engineers, fostering a culture of technical excellence, continuous mentorship, and process innovation. You will act as a strategic partner for stakeholders, prioritizing initiatives that drive automation, enhance data infrastructure, and ensure the delivery of high quality data products. Ultimately, your leadership will directly enable the YouTube content partnerships and creator ecosystem, equipping business leadership with the critical insights needed to optimize the effectiveness and efficiency of the YouTube partner-facing business teams.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Establish and clearly articulate team strategy that drives the organization's overarching goals and decision-making across functional groups. Define the technical goal continuously adapting it to anticipate future business requirements and infrastructure scalability. Build and refine robust internal processes to govern project prioritization, the end-to-end development lifecycle, and ongoing operational support. Lead a high-performing team of data engineers by providing technical guidance, establish best practices, and manage task allocation through an agile roadmap that adapts to evolving stakeholder demands. Partner effectively with cross-functional stakeholders. Steer the complete lifecycle of data products, direct your team in the design, development, and ongoing maintenance of data assets specific to YouTube partnerships data. Shape the strategic narrative for executive leadership by delivering insights to key decision-makers, automating the insight-gathering process, and translating complex technical analyses into clear communications. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL). Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM). Excellent communication and presentation skills with the ability to influence stakeholders. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Measurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser return on investment, fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that the advertising solutions effectively connect businesses with customers and deliver measurable results across the various ad platforms.Responsibilities Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners. Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in a related field, or equivalent practical experience. 2 years of experience in accounting and managing accounts payable and accounts receivable. 2 years of experience managing the financial lifecycle, including accounting, contracting, budgeting, and financial administration. Preferred qualifications: Experience with enterprise resource planning (ERP) software. Experience in vendor management. Experience in SAP, Sage, Oracle suite, or equivalent. Knowledge of local tax and administration. Ability to demonstrate strong financial administration and modeling skills, including performing extensive spreadsheet work and monthly variance reviews. Excellent communication and presentation skills. About the jobAs a Data Center Business Program Manager, you will support our facilities technicians, managing the maintenance agreements of all facility related systems. You will lead cost control and contractor management for maintenance tasks and small projects, and work closely with the site Environment, Health and Safety department to ensure safety operations. You will have a pivotal role in ensuring that contractors deliver quality services according to agreed key performance indicators and that safety measures are being performed.The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.Responsibilities Plan and execute work assignments with varying degrees of supervision. Act as the point of contact for projects as assigned by the facility manager. Prepare a statement of work (SoW) for facility operations agreements. Obtain facilities-related vendor proposals, prepare purchase orders, and review/approve invoices. Work with support service vendors to resolve conflicts and issues under the direction of the facility manager. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience in program management. 5 years of experience designing, constructing, or managing infrastructure projects. Experience creating infrastructure designs (e.g., telecom, electrical, mechanical), drawing sets for builds, and remodels of data center networking spaces. Preferred qualifications: Experience partnering with Data Science teams or directly leveraging machine learning and AI-driven methodologies to scale forecasting models, automate anomaly detection, and simulate capacity scenarios. Experience in network capacity planning, demand forecasting, inventory optimization, or supply-demand matching. Proficiency in data modeling, trend analysis, statistics, and data tools (e.g., SQL, spreadsheet software) to synthesize complex capacity metrics and performance loops. Strong foundational knowledge of network infrastructure concepts, including network routing, peering, cache infrastructure (CDN), or capacity placement. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As a Network Capacity Planner, you will ensure Google Cloud’s growth by guaranteeing network capacity is delivered efficiently and on time to support products and customers. Operating across critical planning and execution horizons, you will blend a deep understanding of network fundamentals with machine learning and AI-driven methodologies to scale forecasting, automate anomaly detection, and simulate complex capacity scenarios.Acting as a key technical collaborator alongside Technical Account Managers, Customer Engineers, and Product Managers, you will navigate customer requirements, mitigate supply stockouts, and manage inventory buffers. Your work will directly balance resource efficiency with high availability, safeguarding infrastructure performance and driving strategic demand attainment across the global network fleet.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Leverage deep knowledge of network fundamentals to understand critical paths, skillfully navigate complex customer requirements, and co-develop tailored solutions alongside Technical Account Managers, Customer Engineers, and Product Managers. Own the execution window, capturing large agreement requirements and navigating network lead times. Build forecasting models leveraging machine learning and AI to improve predictive accuracy, automate anomaly detection, and simulate capacity scenarios. Mitigate supplies shortages, maintain optimal inventory levels, manage policy-based buffers, and plan for major peak traffic events. Collaborate to build AI-assisted automation for ordering and resource fulfillment while designing metrics to track fleet efficiency and demand attainment. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in advertising, consulting, consultative sales, business development, or a digital media environment. 2 years of experience creating data sets, data modeling, and reporting. Preferred qualifications: MBA, or equivalent practical experience. Experience leading cross-functional teams to design, execute, and implement complex operational initiatives that solve business problems. Experience in SQL and in designing and managing data/BI roadmaps, metric dashboards, and automated reporting infrastructure. Experience building practical AI solutions (e.g., Python scripting, working with APIs, prompting frameworks, or building customized AI agents/assistants) to optimize operational workflows. Excellent problem-solving skills with an ability to structure ambiguous analyses and deliver clear story lines through executive-level communications and data visualizations. About the jobThe Business Strategy Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives. The Business Strategy Operations organization provides thought partnership to our leaders via business-critical insights and advanced analytics. The team ensures cross-functional alignment of goals, drives strategic initiatives forward, and helps evolve early-stage ideas into future-growth engines. We stay focused on aligning high-level company priorities with robust day-to-day operational execution.We are looking for a Strategy and Operations Senior Associate to join the global Google Technical Services (gTech) team. In this role, you will serve as a trusted advisor to gTech Ads Vice Presidents (VPs) and Directors, leading the Data and BI roadmap and driving complex, global analyses to shape future strategy. Partnering closely with regional Business Operations, GTM, and cross-functional leadership, you will manage multi-product, multi-country challenges. To grow in this role, you should be an entrepreneurial, problem-solver who is equally passionate about running operational business reviews and reinventing workflows through applied AI solutions.The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring flawless execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.Responsibilities Serve as a thought partner and trusted advisor to VPs and Directors to align operational execution with the direction of Google Technical Services (gTech). Act as the Go-To-Market (GTM) lead to global GTM teams, driving and coordinating gTech operations, strategic metrics, and insights. Own and lead the Business intelligence (BI) roadmap for gTech Ads Vertical teams, ensuring excellent infrastructure, metric dashboards and business intelligence. Partner with regional and vertical Strategy and Business Operations teams to deliver comprehensive business reviews and insights. Identify, scope, and lead complex global analyses and projects to uncover business trends and operational efficiencies.Collaborate with cross-functional, cross-regional teams to execute on strategic recommendations and track implementation impact. Identify systemic operational bottlenecks within gTech workflows. Design and deploy applied AI solutions to reinvent workflows, drive automation, and optimize resource efficiency. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 8 years of experience working on signal development, data analysis, cyber security or anti-abuse. Experience programming in one or more languages (e.g., Python, Golang). Experience working with complex engineering systems and processes. Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephone, or communication-related products. Knowledge of SMS/MMS/RCS or SIM/phone number fraud and abuse. Excellent communication and presentation skills to deliver findings to cross-functional partners, and the ability to influence cross-functionally at various levels. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The Trust and Safety (TS) team has the critical responsibility of protecting Googles users by ensuring online safety by fighting fraud and abuse across Google products.The Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem. We partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate and maintain abuse protections.In this role, you will understand the user's point of view and will be passionate about using the technical, problem-solving, and acumen to protect the users. You will work globally and cross-functionally with Google Engineers and Product Managers to navigate online safety situations and manage abuse and fraud at Google scale.At Google we work hard to earn our users’ trust every day. Trust Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Responsibilities Analyze emerging trends, conduct complex data analyses and identify new signals to develop solutions for scaled enforcement. Develop a deep understanding of abuse in messaging, current cross-product workflows and available intelligence. Translate abuse protection requirements into data modeling initiatives and build prototypes. Collaborate with Engineering, Product Managers, Program Manager groups to develop requirements documents based on robust data analysis and granular product understanding. Perform active threat monitoring, identify gaps in abuse detection and constantly update abuse rules based on evolving patterns. Create real-time awareness of threats and educate clients to reduce the problem upstream. Lead projects to prevent Google's infrastructure from being abused to harm users or commit financial fraud resulting in losses to users or Google. Collaborate with the carrier ecosystem to block bad actors (e.g., corrective/preemptive measures, fraud investigations). 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience in managing projects and defining project scope, goals, and deliverables. 1 year of experience with one or more of the following languages: SQL, R, Python, or C++. Preferred qualifications: Master's degree in a quantitative discipline. 1 year of experience with machine learning systems. Experience with collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis, and with metrics analysis, experiment design and automation. Excellent communication skills. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. In this role, you will have experience with analyzing data and scaled systems of review. You work in a changing and demanding environment. You will be a key contributor to the strategy for reducing network badness on YouTube. You will be solving technological tests and setting standards. You will balance the requirements . You will require on-call work at weekends on a rotational basis. You will also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Perform fraud and spam investigations using multiple data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows by process improvements, automation and anti-abuse system creation. Design and refine prompts for Large Language Models (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior, including prompt engineering, data labeling, and performance analysis. Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows. Learn technical concepts and systems and deliver results using them. Maintain and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce training solutions. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master's degree in a quantitative discipline. 5 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++. 5 years of experience or familiarity with machine learning systems. 5 years of experience collecting, managing and synthesizing large datasets and information from disparate sources, statistical modeling, data mining and data analysis. Demonstrate high-level product and policy knowledge, the ability to both understand and design training roadmaps and an ability to communicate and persuade between multiple levels. Consultative problem solving and excellent project management. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As a Analyst Manager in YouTube Trust and Safety, you will manage a team of analysts, who work alongside the engineering and operations teams to identify and remove abusive content like videos, livestreams and abusive users as quickly as possible. You will Identify and utilize content, account and behavioral signals and features to develop practical solutions using heuristics, clustering, classification and large learning models. Your team would also leverage advanced analytics to drive insights on the effectiveness of our abuse detection methods, and develop strategies to reduce uncaught badness across all the verticals. You will leverage leadership skills, management experience and technical expertise to lead the team to continuously improve user experience on YouTube. You will lead a team of analysts to become technically strong, strategically minded, great at communication, and care for the YouTube team and YouTube users. You will work with the operational leaders and policy area leaders, you will deliver insights on Trust and Safety operations to inform operational efficiency, new product strategies and new policy development. You will be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Manage a team of YouTube Detection Analysts focused on reducing uncaught badness on YouTube. Set strategy and goal and lead the Analyst team to cover a wide variety of spam and abuse vectors across YouTube (YT) community engagements. Optimize the effectiveness of our operations; develop and monitor core badness metrics, deep dive and recommend solutions. Drive and utilize data insights for YouTube Trust and Safety globally to ensure fast identification and removal of single or scaled occurrence of inappropriate content and abusive actors to keep YouTube safe for our users. Communicate clearly to cross-functional partners executive leadership, engineers, operations specialists about state of abuse, drive agreement on prioritization and trade-offs. Partner closely with the Leadership, Policy, Enforcement, Data Science and Engineering teams to understand the ever-changing policy enforcement landscape and implement best suited solutions. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.