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Strategic Agency Manager, GCS (Polish, English) Dublin, Ireland As the Strategic Agency Manager, you will leverage your executive collaborating skills to partner with performance media agencies. You will focus on C-level stakeholder relationships and co-create business growth strategies with a portfolio of agencies by identifying and executing opportunities for growth. You will also focus on increasing digital capabilities and strengthening long-term commercial growth partnerships within the Google Customer Solutions (GCS) agencies, driving scalable business growth and product adoption across the broader portfolio of agency-managed accounts. You will drive alignment on the allocation of the strategic resources for these agencies, to fuel your growth enablement initiatives, collaborating with client strategists and product specialists to deliver mutual business growth to our agencies, their customers, and to Google. You will also develop the acquisition and promote capabilities of the assigned agencies across all levels of the organization in order to enable sustainable business growth for all parties. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it. Individual pay is determined by factors including job-related skills, experience,

Technical Program Manager II, Product Testing, Pixel Chicago, IL, USA A 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. The Product Quality Assurance Lead, acting as a Technical Program Manager (TPM) for Test, will define, prioritize, and drive optimized testing for Google products to ensure a exceptional customer experience. Your responsibilities include guaranteeing test coverage, identifying gaps, analyzing escaped defects to prevent regressions, and driving critical issue resolution before key milestones. This role demands a highly individual in wireless communications, significant experience in Test TPM, and strong stakeholder engagement skills. The Product Test team ensures exceptional customer experiences for Google's new (NPI) and In-market Phones, Hearables, and Wearables. Using specialized testing methodologies, we translate critical user feedback into actionable hardware (HW) and software (SW) improvements. We define Customer Use Journeys (CUJs) from customer insights, execute targeted tests, and provide engineering teams with the data needed to resolve issues efficiently within tight product development cycles. Through collaboration with cross-functional (x-fn) partners, we drive these crucial fixes

Staff Software Engineer, GCS Object Context and Search Seattle, WA, USA 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. We are seeking a Staff Software Engineer to join our Google Cloud Storage Object Context and Search team. In this role, you will lead the design and development of critical capabilities that enable customers to build semantic storage and search solutions on Google Customer Solutions (GCS). You will play a key role in shaping the reliability, scalability, performance, and relevance of our systems, helping guide the technical direction of a critical infrastructure pillar within Google Cloud Platform. You will join a supportive, highly collaborative environment, where you will partner with executive technical leadership to advocate a positive engineering culture that makes

Technical Program Manager III, Data and Analytics, Cloud Learning Services Austin, TX, USA; +3 more A 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. The Cloud Learning Services Team (CLS) works with companies, government agencies, and academic institutions to help millions of individuals develop and grow their technology skills with Google Cloud. We have the motivation to upskill existing and future workers with a keen focus on leveraging the power of AI in educational technology to reach over 40 million learners. As a Technical Program Manager, you will lead execution efforts for high-impact data programs that span multiple organizations and product areas. You will orchestrate the end-to-end creation of analytical reporting assets and robust data infrastructure, while driving the CLS AI data strategy to facilitate business excellence. You will lead cross-functional projects, negotiating scope and timelines with technical dependencies to accelerate data-informed decision-making. You will leverage your deep expertise in data engineering to lead efforts on domain and service improvements that directly support organizational growth.

Technical Program Manager, ML Fleet Capacity, Systems Enablement Kirkland, WA, USA; +2 more A 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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead Technical Program Manager (TPgM) to deliver an automated solver solution to enable complex supply/demand matching scenarios. This will be the foundational capability in which Google leadership will make

Staff Data Scientist, Discover Personalization and Quality Mountain View, CA, USA; +1 more In this role, you will partner cross-functionally to drive Google's mission of organizing the world's information and making it universally accessible and useful. As technology continues to evolve, your commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users' information needs. In this role, you will provide users with relevant and meaningful information based on their interests and understanding of the world's information. Your mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from the voices they care about. As a part of the Discover Data Science team, you will partner with cross-functional to drive that mission with a data-informed strategy, identifying opportunities and accelerating execution. As a part of the Discover Personalization and Quality team, you will partner with engineering and product, develop deep understanding of how to build a personalized retrieval and ranking system that delivers high-quality, compelling and valuable content. You will leverage a wide range of analysis tools (including metrics and AI raters, statistical modeling, cohort and exploratory analyses), and incorporate AI-driven understanding to define the job of a data scientist for the new era. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about

Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing

Business Intelligence Developer, Cloud Finance Kirkland, WA, USA At Google, data drives all of our decision-making. As part of the Finance Business Intelligence team, you will use data to inform business and product decisions across the company. Using your technical skills, business acumen and creativity, you will build tools to automate reporting and generate insight that will allow clients to quickly and accurately see how our key business products and processes are performing. Previous experience managing finance systems projects, with emphasis on providing business intelligence and data driven insight through reporting, will have equipped you well for this role. You'll be involved in projects from inception to delivery, ensuring that your reporting delivers high-quality and relevant data to intelligently grow our business. You will also have extensive knowledge of key financial systems, such as Oracle and Hyperion, and experience working with a range of other business intelligence tools and platforms. The Cloud Finance BI team supports the broader Cloud Finance organization and Cloud senior leadership. The team owns the financial analytics and automation roadmap and works with Finance and Engineering partners to build stable reporting, forecasting, simulation and modeling assets. Our goal is to enable decision intelligence while reducing the reporting burden on analysts. In this role, you will control the Cloud P&L, drive modeling, forecasting and automation efforts and lead data science initiatives to advise on optimal HC resource allocation and drive accountability. Your deep business knowledge, data mastery, and sharp insight provide us a seat at the table

Test Engineer, Display Manufacturing, Raxium Fremont, CA, USA As a Test Engineer focused on MicroLED Display Manufacturing, you will be responsible for the qualification, deployment, and ongoing support of microLED and display panel test systems. You will collaborate with cross-functional teams to validate new testing capabilities and provide critical data for both engineering and production. You will work closely with our test engineering and operations teams to optimize test time, extend capabilities, expand capacity, and reduce costs for production test plans. Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with Test Development team to lead production-scale release of new high-speed optical, electrical test systems by verifying system performance and debugging complex interactions (hardware, software, optics). Collaborate with engineering team to design and implement automated pipelines for Gauge R&R, software deployment, test operations and production system health monitoring. Define and execute the strategy for scaling test capacity to

Professional Services Manager, Fleet Scottsdale, Arizona, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact This is a post-sale, customer-facing, front-line role with primary duties of deploy network, hardware, and software solutions for Axon's Fleet solutions . All candidates maintain a professional attitude with a strong focus on the customer's total implementation experience. What You'll Do Location: Remotely from the United States Travel: On the road 100% (Mon-Fri), domestic - Identify and implement solutions within minimal assistance in a fast-paced environment. - Assist clients to monitor all software implementation lifecycles and assist with the appropriate customizations. - Conduct training sessions with customer technical points or contact and end users on Axon specific product applications. - Create accurate computer network diagrams and documentation for design and planning of network communication systems. - Customer coordination and execution of field commissioning tests. - Deliver timely and detailed project deployment reports. - Engage with technology decision makers (Chiefs of Police, Command staff, Sheriffs, Directors of IT) and

Senior Technical Writer San Diego, CA, USA 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. The US base salary range for this full-time position is $138,000 - $200,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google San Diego, CA office & may allow for a hybrid schedule as per Google policy. Write technical documentation for developers and cloud architects building private Google Cloud solutions. Produce new, high-quality content designed to help customers succeed. Curate and maintain the existing customer-facing content library for accuracy and relevance. Edit, clarify, and proofread technical documents written by engineering and product teams. Coach non-writers and subject matter experts on ways to improve their writing skills. Collaborate with a global team of engineers, product managers, and content strategists. Minimum qualifications: Bachelor's degree in Technical Communication, Professional Writing, English, Computer Science, Information Technology or a related field and 6 years of progressive post-baccalaureate experience in the job offered or in a Technical Writer-related occupation. Alternatively, will accept a Master's degree in Technical Communication, Professional Writing,

Senior Silicon Architect Mountain View, CA, USA The US base salary range for this full-time position is $218,000 - $237,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Lead the definition of chip IP architectures, memory hierarchy, interconnect fabrics, and IP integration to meet product requirements. Utilize high-level performance and power models to guide architectural decisions and conduct detailed trade-off analyses to optimize for system-level goals. Create and maintain detailed architectural specification documents that guide micro-architecture and design teams throughout the project lifecycle. Collaborate with software, product management, and physical design teams to ensure the hardware architecture is feasible, aligns with software needs, and meets all product requirements. Drive the

Senior Research Engineer Mountain View, CA, USA The US base salary range for this full-time position is $174,000 - $252,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Mountain View, California office & may allow for a hybrid schedule as per Google policy. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems. Architect and implement scalable software libraries and high-quality code in Python or C++ to translate complex research into practical applications. Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems. Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives. Influence engineering best practices by championing code

Staff Software Engineer New York, NY, USA The US base salary range for this full-time position is $207,000 - $300,000 + 20% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Design, develop, test, and deploy large-scale software solutions for a state-of-the-art personalized AI assistant Architect scalable data pipelines and user models for high-fidelity training, simulation, and performance evaluation Develop robust evaluation benchmarks, autoraters, and adversarial tests to measure and improve personalization quality Collaborate with research scientists and engineers to ship product features and provide technical leadership on high-impact projects Review code to ensure best practices and mentor team members on system design and engineering excellence. Define the technical vision and system architecture

Senior Sales Consultant Specialist New York, NY, USA The US base salary range for this full-time position is $108,000 - $154,000 + 40% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy. The Global Business Organization (GBO) is the engine that powers Google's full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners. Generate critical consumer insights by scoping, conducting, and analyzing market research. Consult partners on business strategy, leveraging data to align Google products with their objectives. Develop data-driven stories, narratives, and sales pitches to support client business goals. Collaborate across sales teams to identify opportunities and drive business growth with new and existing partners. Develop analytical models and dashboards to optimize client performance and maximize product effectiveness. Act as an industry thought leader, developing vertical-specific points of view and contributing to strategic plans. Minimum qualifications: Master's degree in Business Administration, Marketing, Economics, Data Science, Statistics or a related field and 3 years of experience in the job offered or in a Sales Consultant Specialist-related

Technical Program Manager Atlanta, GA, USA 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. The US base salary range for this full-time position is $163,000 - $237,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Atlanta, GA office & may allow for a hybrid schedule as per Google policy. Define the scope, charter, and project plans for complex engineering programs, translating ambiguous goals into clear objectives, milestones, and resource requirements. Govern program execution by managing schedules, proactively identifying and mitigating risks, and maintaining project trackers to ensure alignment with key objectives. Build trusted relationships and collaborate with senior stakeholders across multiple teams to drive impactful decisions, resolve prioritization misalignments, and manage escalations. Design and deliver optimized communication plans, articulately representing program status, analyses, and recommendations to diverse audiences from engineers to senior executives. Establish key program metrics and dashboards to monitor performance, identify deviations, and define corrective actions that support continuous improvement and data-driven decisions. Apply your engineering expertise to perform technical due diligence, develop processes that enhance

Data Engineer Austin, TX, USA 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. The US base salary range for this full-time position is $123,900 - $151,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Austin, TX office & may allow for a hybrid schedule as per Google policy. Design and implement secure, scalable, and reliable data solutions, including data models, pipelines, and infrastructure frameworks. Perform exploratory data analysis and leverage machine learning models to enable data-driven insights and business solutions. Create and deliver technical enablement materials, including best practice guides, sample code, presentations, and educational workshops. Collaborate with product management, engineering, and data science teams to influence product development and drive technical excellence. Advise customers on migrating and optimizing database systems and data processing workloads on Google Cloud Platform. Analyze cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform. Minimum qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field, and 1 year of experience in

Application Engineer Sunnyvale, CA, USA 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. The US base salary range for this full-time position is $264,520 - $278,000 + 20% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Sunnyvale, CA office & may allow for a hybrid schedule as per Google policy. Develop and deploy custom front-end and back-end services for external customer-facing products specifically targeting SAP customers and developers. Lead the development and deployment of commercial SAP solutions, requiring expertise in SAP and ABAP to build robust, scalable products that support the needs of the external user base. Drive the overall systems design and create integration strategies to enable enterprise business solutions for external customers, ensuring seamless connection with core SAP environments. Collaborate with business owners, product managers, and analysts to translate functional requirements for external SAP solutions into high-level technical specifications. Research, evaluate, and recommend vendor-supplied applications and new technologies, and lead their integration into external product offerings and related systems. Define and implement processes and solutions to ensure control

Software Engineer Manager Kirkland, WA, USA 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. The US base salary range for this full-time position is $239,200 - $300,000 + 20% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Kirkland, WA office & may allow for a hybrid schedule as per Google policy. Set and communicate team priorities that align with organizational goals while managing individual performance through regular feedback and coaching. Develop mid-term technical visions and roadmaps that anticipate future infrastructure needs and drive engineering excellence. Design, guide, and vet system architectures to ensure coherent integration, scalability, and the creation of hermetic abstractions. Manage engineering projects across multiple teams by engaging stakeholders, monitoring metrics, and ensuring timely delivery within scope. Write and review code to solve ambiguous problems while enforcing best practices in testing, security, and efficiency. Implement standards for code health and system maintainability, including the automation of processes and resolution of production issues. Minimum qualifications: Bachelor's degree in Computer Science, Software Engineering, Technology Management, Project Management, or a related

Software Engineer, Site Reliability Mountain View, CA, USA Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. The US base salary range for this full-time position is $149,400 - $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy. Develop and improve code for tools, libraries, and systems with a focus on reliability, scalability, and efficiency. Review code from other engineers to ensure adherence to best practices in style, accuracy, testability, and maintainability. Lead and participate in technical design reviews to select appropriate technologies and create simple, robust solutions. Triage and resolve system issues by debugging, analyzing root causes, and implementing preventative measures for operational quality. Create and maintain technical documentation and educational content, adapting it based on product updates

Solutions Consultant Austin, TX, USA 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. The US base salary range for this full-time position is $166,900 - $204,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Austin, Texas office & may allow for a hybrid schedule as per Google policy. Develop implementation strategies to accelerate customer adoption of Google Cloud by translating business use cases into actionable delivery models. Manage the end-to-end services business process from lead to delivery, driving operational excellence through forecasting, scoping, and agreement closure. Collaborate with Sales, Customer Engineers, and consultants to define project goals, create Statements of Work, and act as the primary services contact. Build and maintain strategic relationships with internal teams, partners, and customers to identify new business opportunities and drive solution adoption. Create and refine repeatable content such as best practice recommendations, tutorials, and technical documentation to support solution delivery. Identify and communicate product gaps and solution trends to internal product and engineering teams to influence future development and mitigate risks. Minimum

Sales Operations Senior Associate San Bruno, CA, USA 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. The US base salary range for this full-time position is $164,450 - $177,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may allow for a hybrid schedule as per Google policy. Drive hypothesis-driven business strategy and define go-to-market plans for YouTube products across users, partners, and creators. Manage operational excellence by setting and tracking OKRs, driving annual business planning, and running the implementation of business cadence. Conduct data analysis, modeling, and market intelligence using tools like SQL to develop insights, build dashboards, and create decks. Define actionable plans and roadmaps, aligning cross-functional stakeholders to drive successful implementation of change initiatives. Develop hypotheses against opportunity areas, test them

Program Manager Atlanta, GA, USA 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. The US base salary range for this full-time position is $132,000 - $189,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google Atlanta, Georgia office & may allow for a hybrid schedule as per Google policy. Build trusted relationships with senior stakeholders and design targeted communication plans to manage expectations and enable effective decision-making. Author comprehensive program charters and create detailed project plans that define scope, timelines, resources, and dependencies for advanced programs. Determine program phasing and key metrics to drive continuous improvement and optimize resource stewardship throughout the program lifecycle. Establish program governance by defining data collection methods, maintaining project trackers, and leading team meetings to drive progress. Execute program tasks by proactively managing dependencies, identifying and mitigating risks, and ensuring alignment with core product values. Develop and execute comprehensive change management plans, including impact analysis and progress monitoring, to support program stakeholder needs. Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Business Administration, Information

Senior Software Engineer New York, NY, USA The US base salary range for this full-time position is $189,600 - $252,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google . Position reports to the Google New York, NY office & may allow for a hybrid schedule as per Google policy. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Build and enhance serving solutions for Gemini models, tailoring configurations to meet diverse client needs and testing for optimal performance. Develop new infrastructure to support advanced capabilities, such as large-scale streaming and specialized audio logic within the orchestration framework. Guarantee the quality of Gemini models in production by triaging system issues, debugging code, and implementing robust monitoring systems. Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development. Drive the short-term technical vision