Minimum qualifications:. Bachelor's degree or equivalent practical experience. 5 years of experience in product management.. Preferred qualifications:. Experience with AI/ML powered products or features.. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum.. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling).. Ability to work with data and analytics tools to inform product decisions.. Ability to work independently and as part of a team and ability to manage multiple tasks and prioritize in a fluid environment.. About The Job. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.. Responsibilities. Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team.. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication.. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 8 years of experience in software development, and with data structures/algorithms.. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.. Preferred qualifications:. Experience with Maps, data structures that simplify spatially-oriented tools and platforms.. Experience leading a team of engineers in a technical capacity and ability to lead and influence stakeholders.. Ability to understand and respect user privacy and protecting S/PII data.. Excellent communication skills, across significant timezone differences, along with excellent time-management skills.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.. 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. Partner with the Spaces Production Tech Leads and US-based Domain Tech lead to drive engineering excellence across the Spaces portfolio.. Create and develop cross-pillar architectures that provide frameworks for long-term product development. Represent the team in technical forums.. Write and review architecture and design docs. Oversee designs for the Hyderabad team, driving the Spaces design review program.. Mentor other engineers, ramp up Nooglers, promote engineering excellence. Recruit engineers to help grow the team. Participate in Performance rating and promotion discussions.. Work cross-organizationally and cross-functionally (e.g., Product Managers, UX Designers, Technical Program Managers) to deliver mission-critical impact across every campus and data center.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.. 5 years of experience in architecture, hardware, digital design, and software co-design. 3 years of experience in Verilog/SystemVerilog.. Experience in computer architecture and digital design or Internet Protocol (IP) integration (e.g., Peripheral Component Interconnect Express (PCIe), Double Data Rate (DDR) memory).. Preferred qualifications:. Master's degree in Electrical Engineering, Computer Science, or a related field.. 4 years of experience working on Field Programmable Gate Array (FPGA) platforms or Emulation platforms with Internet Protocols (IPs) (e.g., Peripheral Component Interconnect Express (PCIe), Double Data Rate (DDR) memory, Gigabit Ethernet, Flash).. Experience in developing architectures for Machine Learning Accelerators.. Experience in writing or debugging Verilog/Register-Transfer Level (RTL) code for ASIC/FPGA designs, waveform debug skills with knowledge of chip design flows.. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.. In this role, you will integrate hardware and software stacks and operate them on emulation platforms for pre-silicon validation of our Google Cloud Tensor Processing Unit (TPU) projects. You will create software-based custom test cases, workloads, test generators, infrastructure, analysis tools, and debugging tools. You will be responsible for silicon bring-up, validation, characterization and qualification, and sustaining programs and their quality. You will help ensure our fleet runs at maximum efficiency, and help debug and root when causing issues. You will collaborate with Product Firmware, System Software and Application-Specific Integrated Circuit (ASIC) Design in the development of tools, validation firmware, functional and performance tests, and testing infrastructure for our platforms and Google Cloud data center systems.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.. We prioritize security, efficiency, and reliability across everything we do from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.. Responsibilities. Enable bring-up of chip features through firmware and driver stack. Integrate and validate hardware and software designs in pre-silicon.. Architect and design Application-Specific Integrated Circuit (ASIC) models for Emulation/Field Programmable Gate Array (FPGA) Prototypes. Design Register-Transfer Level (RTL) transformations to optimize mapping to Emulation/FPGA platforms and design solutions to improve Internet Protocol (IP) modeling.. Design solutions to improve hardware modeling accuracy and scale to various system configurations and enable serving of ASIC models for software and validation teams.. Bringup chip features on software reference models and hardware prototypes (e.g., Emulation/FPGA) and drive debug discussions with design/design validation/physical design/software/architecture teams and help root-cause failures.. Develop the integration plan with software and system partners, coordinate hardware and software delivery and benchmark performance.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.. 5 years of experience in High Bandwidth Memory/Double Data Rate (HBM/DDR).. Experience in silicon bringup, functional validation, characterizing, and qualification.. Experience with board schematics, layout, and debug methodologies with using lab equipment.. Preferred qualifications:. Experience in hardware emulation with hardware/software integration.. Experience in coding (e.g., Python) for automation development.. Experience in Register-Transfer Level (RTL) design, verification or emulation.. Knowledge of SoC architecture including boot flows.. Knowledge of HBM/DDR standards.. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.. In this role, you will be responsible for post-silicon validation of the Cloud Tensor Processing Unit (TPU) projects. You will create test plans and test content for exercising the various subsystems in the Artificial Intelligence/Machine Learning (AI/ML) System on a Chip (SoC), verify the content on pre-silicon platforms, execute the tests on post-silicon platforms, and triage and debug issues. You will work with engineers from architecture, design, design verification, and software/firmware teams. You will be validating the functional, power, performance, and electrical characteristics of the Cloud Tensor Processing Unit (TPU) silicon to help deliver high-quality designs for next generation data center accelerators.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.. We prioritize security, efficiency, and reliability across everything we do from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.. Responsibilities. Develop and execute tests for memory controller High Bandwidth Memory (HBM) post-silicon validation and on hardware emulators and assist in bring-up processes from prototyping through post-silicon validation.. Drive debugging and investigation efforts to root-cause, cross-functional issues. This includes pre-silicon prototyping platforms as well as post-silicon bringup and production.. Ensure validation provides necessary functional coverage for skilled design.. Help operate and maintain our hardware emulation platform for pre-silicon integration and validation.. 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 .. Show more Show less

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; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.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. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. 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 .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with data structures or algorithms in an academic or industry setting.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. Experience in Storage, Cloud Storage, Google Cloud, Distributed Systems.. Preferred qualifications:. Master's degree or PhD in Computer Science or a related technical field.. Experience in computer science, with data structures, algorithms, and software design.. Experience in programming with Python, C++, Java/Kotlin or Golang.. Knowledge of AI/ML with the ability to apply it to solve critical business problems.. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.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. Own parts of GCS Fuse which has an increasing customer base and usage due to the AI/ML revolution.. Own, ideate, design, land and iterate on new features and improve performance of existing features, thereby building momentum to expand to more customers.. Research into the existing usage, understanding API and service boundaries, and identifying customer needs (Program Manager support available).. Find existing pain points. Own the design and execution and landing ideas successfully.. Involve interaction with open source software and multiple languages so that the ability to scale beyond the existing toolkit is extremely important.. 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 .. Show more Show less

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 in HR, Business or a related field, or equivalent practical experience.. 5 years of experience in a customer or client-facing role supporting vendor operations.. 5 years of experience managing third party, logistics relationships.. Preferred qualifications:. Bachelor's, Master's or MBA degree or equivalent practical experience.. 8 years of experience in operations, vendor management, contracting out, location strategy, and program management.. Experience in operational strategy and workforce planning, partnering with many cross-functional teams and stakeholders.. Experience in consulting or developing and communicating strategy at executive level for selection making with clear recommendations using fact/data based approach.. Experience in Data Analytics, GoogleSQL, Plx Scripts/Workflows, Data Modelling, Google Portfolio.. About the jobAt 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.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. Be accountable for operations and managing overall vendor performance across workflows.. Develop and maintain the overall regional workflow strategy, Identify and mitigate risk from a delivery standpoint and ensure compliance with all internal policies and procedures.. Partner with cross-functional teams locally and globally to drive continuous vertical and horizontal improvements at scale.. Execute operational initiatives for YouTube and Trust and Safety vendor operations by developing plans, gathering/synthesizing relevant data, leading analyses and developing compelling, insightful recommendations.. Deliver actionable, insightful, data-driven recommendations (cost-benefit, risk-coverage-quality, impact analysis etc.).. 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 .. Show more Show less

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with large scale application design and architecture.. 3 years of experience with Android application development.. Preferred qualifications:. Master's degree or PhD in Computer Science or a related technical field.. 1 year of experience in a technical leadership role.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. As the Tech Lead for Android Onboarding in Google Play, you will be instrumental in establishing and leading a new engineering team in Bengaluru. This team focuses on the critical Out-of-Box Experience (OOBE), with a mission to create a great first impression and set users up for success on their new device.. In this role, you will define the technical direction and strategy for features enabling users to quickly and reliably copy data and restore essential apps. You will drive key initiatives to restore speed and reliability across all Android devices and Original Equipment Manufacturers (OEMs), expanding comprehensive Play-powered restore solutions, and minimizing sign-in friction. You will directly influence the first experience for billions of Android users globally, which is critical for user satisfaction and boosting in-store business.. Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.. Responsibilities. Lead the technical direction and execution for features within the critical Out-of-Box Experience (OOBE).. Coordinate the transfer of understanding and responsibilities to the new Bengaluru team. Prioritize work and manage team resources, ensuring allocation and alignment with objectives.. Oversee engineering execution, holding the team accountable for quality and timeliness. Ensure alignment with the broader working group across Play and Android teams.. Maintain the reliability and maintainability of the OOBE system by addressing bugs, monitoring tests and metrics, and improving systems based on outages.. 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 .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications:. Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.. 2 years of experience in infrastructure, containerization (e.g., Kubernetes, Openshift, etc.) and web technologies.. 2 years of experience in a customer-facing role with troubleshooting, code-reading and debugging in Python, Shell, Bash, Java or C/C++.. Experience with Operating System (OS) like Linux Networking and System Design (e.g., infrastructure design, low level design/high level design, load balancers, Content Delivery Network (CDN), Denial of Service (DOS) protectors, etc.).. Preferred qualifications:. Certification in Kubernetes Application Developement (CKAD), Kubernetes Administrator (CKA) or Kubernetes Security.. Experience with Google Kubernetes Engine, Kubernetes or Openshift.. Experience with Anthos and Developer Operations.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will be the part of a global team that provides support to help customers make the switch to Google Cloud. You will ensure that we have the necessary tools and processes to resolve the issue.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. Work with customers on their production Google Kubernetes Engine (GKE)/Anthos deployments to resolve issues and achieve product readiness, availability, and scale.. Develop an understanding of Google Cloud's GKE/Anthos product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.. Act as consultant and subject matter expert for internal stakeholders in engineering, business, customer organizations to resolve technical deployment obstacles and improve Google Cloud.. Work as a team of engineers/consultants that ensure customer support. Work non-standard work hours/shifts, and may include weekend work.. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, and drive production.. 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 .. Show more Show less

For Australia Applicants:. At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.. For Singapore Applicants:. Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Sydney NSW, Australia; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 6 years of experience in sales strategy or enablement within digital advertising with exposure to CTV.. Experience managing business operations, sales pipelines, and stakeholder relationships.. Preferred qualifications:. Experience in the Media and Entertainment and Sports and programmatic advertising industry.. Understanding of performance and brand marketing strategies within the CTV landscape.. Ability to navigate ambiguity in the rapidly changing CTV market.. Excellent storytelling and communication skills, with the ability to convey the value of CTV solutions.. Excellent collaboration skills and ability to build partnerships within the CTV industry.. Excellent problem-solving skills related to CTV advertising.. About The Job. In this role, you will play a critical role in building the Product strategy, prioritization of our roadmap, and lead commercial go-to-market activation as you execute product launches, globally, to our Sales team and Video Publisher customer base.. The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google’s own Product teams with essential partnerships to help Google’s user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products.. Responsibilities. Analyze market trends and the competitive landscape (OpenRTB, Prebid, CTV, live sports AdTech) to inform strategy.. Conduct data-driven market research and competitive analysis, utilizing SQL, analytics, and visualization tools to identify emerging SSP opportunities and understand publisher needs.. Collaborate with cross-functional teams (Product, Engineering, Sales) to define and prioritize SSP product roadmaps and go-to-market strategies, developing quantifiable recommendations and aligning with Google Ad Manager goals.. Develop and execute go-to-market plans for supply-side platform (SSP) products, including messaging, positioning, sales enablement, and regional adaptation. Create training and monitor performance using KPIs.. Build stakeholder relationships (Product, Engineering, Sales, Marketing, partners) to influence decisions and ensure alignment on product and go-to-market strategies, while synthesizing feedback to inform execution.. 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 .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with data structures or algorithms in an academic or industry setting.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. Experience in Storage, Cloud Storage, Google Cloud, Distributed Systems.. Preferred qualifications:. Master's degree or PhD in Computer Science or a related technical field.. Experience in computer science, with data structures, algorithms, and software design.. Experience in programming with Python, C++, Java/Kotlin or Golang.. Knowledge of AI/ML with the ability to apply it to solve critical business problems.. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.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. Own parts of GCS Fuse which has an increasing customer base and usage due to the AI/ML revolution.. Own, ideate, design, land and iterate on new features and improve performance of existing features, thereby building momentum to expand to more customers.. Research into the existing usage, understanding API and service boundaries, and identifying customer needs (Program Manager support available).. Find existing pain points. Own the design and execution and landing ideas successfully.. Involve interaction with open source software and multiple languages so that the ability to scale beyond the existing toolkit is extremely important.. 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 .. Show more Show less

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. 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. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. 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 .. Show more Show less

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 5 years of experience in software development using Java or Kotlin.. 2 years of experience in leading teams.. Experience in working with Android Operating Systems (OS) internals, Applications, Telephony Stack or Mobile wireless technologies.. Experience in quality improvements with test coverage and code refactoring.. Experience in building and scaling mobile applications.. Preferred qualifications:. Experience in cellular connectivity Data, Telecom, eSIM or Satellite.. Excellent communication and collaboration skills and ability to work with cross-functional teams.. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.. Responsibilities. Develop new features across the Telephony software stack including Android framework, applications and Google back end servers.. Collaborate with other Software Engineers (SWEs), Product Manager (PMs), UX designers, cross functional teams and external partners.. Debug and fix bugs reported during field testing and user feedback.. Design, implement metrics to monitor production quality and impact.. Identify and implement performance optimizations.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.. 3 years of experience with verification methodologies and languages such as UVM and SystemVerilog.. Experience verifying digital logic at the Register Transfer Level (RTL) using SystemVerilog at Subsystem or Full chip level.. Experience in performance and latency architecture for an Anycast Redirector Maglev (ARM) based SOC.. Experience in mobile SOC performance model development, performance analysis, and workload characterization.. Experience performance measurement and debugging in an emulation environment.. Preferred qualifications:. Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.. Experience in low-power design verification.. Experience in microarchitecture innovation.. Knowledge of CPU, GPU benchmark characterization.. Knowledge in system software components, such as Linux, drivers, and runtime.. Knowledge of performance analysis tools.. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.. Responsibilities. Develop simulators and architectural models of Google's Tensor System on a Chip (SOC).. Collaborate with system architects, SoC and CPU/GPU/TPU architects/designers, and software and application experts to understand current and future requirements.. Participate in architectural and design evaluation of Tensor SOC features studies.. Perform pre-silicon performance simulation and correlate with pre and post-silicon measurements.. Communicate analysis results qualitatively and quantitatively.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 5 years of experience in product management.. Preferred qualifications:. Experience with AI/ML powered products or features.. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum.. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling).. Ability to work with data and analytics tools to inform product decisions.. Ability to work independently and as part of a team and manage multiple tasks and prioritize in a fluid environment.. About The Job. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.. Responsibilities. Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team.. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication.. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.. 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 .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 2 years of experience working with digital media or digital marketing/advertising solutions, implementing and measuring campaigns and providing client solutions.. 1 year of experience working in customer relationship development, account management, media consulting, or a similar role.. Preferred qualifications:. Master's degree or equivalent practical experience.. 5 years of experience working with digital media or digital marketing/advertising solutions, implementing and measuring digital advertising campaigns, and providing client solutions.. 4 years of experience in a client-facing role working with partners across multiple levels.. About The Job. gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.. To learn more about gTech, check out our video .. Responsibilities. Manage a book of business as a full-time Video Specialist, working across the entire business cycle -plan, pitch (together with sales teams), implement and optimize.. Gain an understanding of client’s business objectives and lead an integrated YouTube ad strategy in Google Ads.. Collaborate and build relationships with external clients to help them achieve success with their YouTube campaigns, driving product adoption and business growth.. Collaborate with vendors and sales teams to drive growth plans of our large advertisers. Develop and apply knowledge of market environment for vertical and sub-verticals in solutions offered.. Help product teams by identifying and defining feature requests and product feedback.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 6 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 4 years of experience with an advanced degree.. Preferred qualifications:. 8 years of Experience in product or program management, business insights, business analysis, or product ownership.. Experience in programs that have incorporated AI, machine learning, or advanced analytics to enhance sales enablement or business intelligence solutions.. Experience managing technology programs or projects involving full-stack application development with modern frameworks (e.g., Flutter, React, Angular, Node.js) delivered by technical teams.. Experience managing programs using leading business intelligence and data visualization tools (e.g., Tableau, Power BI, Looker, Qlik).. Track record of delivering technology-driven solutions for business teams.. About The Job. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.. Responsibilities. Drive the strategic planning, development, and execution of programs aimed at delivering innovative business enablement solutions.. Collaborate with regional and global sales, Connectivity Services Alliance (CSA) teams, Go-to-Market (GTM), and other cross-functional stakeholders to understand business needs, identify critical issues, and translate them into clear objectives and solution requirements.. Define and manage the roadmap for business enablement solutions by prioritizing initiatives based on business impact and strategic alignment, ensuring platforms empower sellers to perform at their best.. Oversee the entire lifecycle of enablement solution projects from initial concept and requirements definition through design oversight, development coordination with relevant teams/vendors, testing, and successful deployment.. Drive the strategic integration of Artificial Intelligence (AI), automation, and the emerging technologies into enablement platforms to foster innovation and maximize sales productivity.. 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 .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.. 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical field.. 1 year of experience in a technical leadership role.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”. Responsibilities. Design, develop, and own key software components and features from ideation to deployment and long-term maintenance including working with modern front-end technologies (e.g., React, Angular) and backend systems.. Lead and participate in design and code reviews, ensuring high-quality, maintainable, and scalable solutions. Identify and address technical debt and improve engineering practices.. Take ownership of reliability, security, privacy, documentation, and testing strategies for your work, ensuring excellent production hygiene and support.. Serve as a technical point-of-contact, collaborating with internal engineering teams, UX designers, and product owners to align technical direction ensuring delivery of new features.. Identify problems and unmet needs, translating user insights into technical requirements to improve user experience.. 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 .. Show more Show less

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 project management and stakeholder management, Preferred qualifications: MBA or Six Sigma certification, Experience with AI/LLM technologies, Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy, Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau, Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration, Strong executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships, About The Job The Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube These vendors provide support to all YouTube users -viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products, The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time, In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO, As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality, 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 Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis, Identify and leverage synergies across existing and developing programs to maximize business impact Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships, Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps, Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing, Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement, 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: Bachelors degree or equivalent practical experience, 8 years of experience in project management, change management, stakeholder alignment, and execution, Preferred qualifications: Experience in contributing to the development and deployment of technology solutions (including AI/ML), demonstrating the ability to identify opportunities and collaborate with technical teams, Experience in global operations with organizational structures and workflows, Experience with no-code/low-code AI tools and a willingness to learn, Knowledge of global HR/People Operations processes or service operations transformation, Ability to drive initiatives requiring change management and stakeholder alignment, while also connecting ideas, identifying synergies, and fostering across teams, Passion for structuring information to facilitate decision-making and align stakeholders, About The Job People Experience (PX) is the team at Google that delivers, hire-to-retire experiences for Googlers in the moments We deliver global HR processes that are personalized for millions of candidates and Googlers PX teams span Recruiting, Analytics and Planning, HR Operations, Vendor Management, Service Model Excellence, and Googlerand Market-level HR support, In this role, you will sit within the PX RISE (Routing, Infrastructure, Services, Excellence and Business Strategy) team RISE is focused on transforming Google's People Operations service delivery You will build durable capabilities across Intelligent Operations, Holistic Measurement, and Extraordinary Experiences, leveraging AI and ML to leapfrog current capabilities We drive initiatives like AI-powered transformations (e-g , Agentic AI, POpsConnect enhancements), develop Critical User Journey (CUJ) oriented operating models, and implement robust measurement frameworks, As an AI Strategist within the RISE team, you will play a pivotal role in building and executing the goal for leveraging AI within Google's People Operations (POps) functions You will be responsible for identifying opportunities, contributing to the roadmap for AI solutions, and guiding their conceptualization, development, and post-launch management You will act as an advocate and consultant, bridging the gap between People Operations challenges and AI capabilities, driving innovation and ensuring alignment with our goal of achieving significant velocity in our transformation journey You will work in an ambiguous environment, collaborating across People Experience (PX), POps, product, engineering, and leadership teams, Responsibilities Contribute to defining and executing the AI strategy and implementation roadmap for People Operations, focusing on specific personas and critical user journeys, Research and help prioritize Artificial Intelligence (AI)/Agentic AI use cases based on data, and alignment with objectives, collaborating with stakeholders, Contribute to conceptualizing AI solutions, emphasizing functionality, user experience, and business value, partnering with product and engineering teams, Partner with teams, acting as an integrator to align on AI initiatives, facilitate decision-making, and ensure clear communication, Support the life-cycle of AI initiatives, and ensure adherence to Google's Responsible AI principles, 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 ,