Google

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience in project management and technical solution delivery. 4 years of experience in one or more of the following areas: data center infrastructure, networking, DevOps, security, compute, storage, Kubernetes, SRE, or AI/ML infrastructure (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). Experience writing Python code in a production environment. Preferred qualifications: Master’s degree in Computer Science, Technology, Business, Engineering or equivalent practical experience. Experience in one or more of the following specialized domains: advanced networking and storage such as system design of load balancers, firewalls, VPN, and production-grade storage. Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. Experience developing, refactoring, and optimizing AI/ML models. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As an Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.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 customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions, and become a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices. Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel 50% of the time to customer sites and facilities.  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; New Delhi, Delhi, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, Cyber-security or related technical field or equivalent practical experience. Certifications related to offensive security, including but not limited to, OSCE, OSEP, OSEE, OSCP, CCSAS, CCT INF or relevant SANS courses. 3 years of experience in creating security tools. Experience in four or more of the following: network protocols, threat intelligence analysis, system and network administration, project management, developing applications, technical incident response processes, source code review, and reverse engineering. Preferred qualifications: Experience working with local sales and management teams in driving consulting business generation, scoping or client management. Experience in creating security tools with an understanding of underlying programming languages (such as Python, C# etc.). Excellent communication, collaboration, and public speaking skills. About the jobIn this role, you will be responsible for providing cyber-security consulting services and support to the clients, including assessing and advising clients on both technical and process-based controls for all manner of environments. You will expand the team’s capabilities through tool creation, research on offensive techniques, incorporation of threat actor intelligence, internal presentations and knowledge share. You will develop comprehensive and accurate reports and presentations for both technical and executive audiences, and act as a trusted advisor to C-level, security leaders and other customer stakeholders. You will need to have an understanding and familiarity with offensive security, threat actors, security best practices in general.Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone.Responsibilities Perform Red and Purple Team assessments, including end-to-end adversarial emulation of cyber attacks against customer organizations, and other technical cyber assessments including external pen test, web application, mobile and wireless security testing. Interface with clients to address concerns, issues, or escalations, track and drive to closure any issues that impact the engagements and its value to clients. Advise clients on security best practices for remediating discovered issues. Collaborate with internal teams to expand capabilities to deliver further value to clients. Perform offensive technical cyber-security engagements of varied nature. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 7 years of experience in cloud computing or a technical customer-facing role, with experience in Python. 2 years of experience managing a software engineering, forward deployed engineering team, or a similar direct technical customer-facing team in a cloud computing environment. Experience in developing AI/Generative AI solutions utilizing AI Tools and designing multi-agent workflows and Retrieval-Augmented Generation (RAG) systems. Preferred qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Experience in designing interfaces for AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust. Experience in architecting AI solutions within infrastructures, and ensuring data sovereignty and secure governance. Ability to perform deep discovery interviews to find the business problem and translate hardware/AI constraints for C-suites and technical teams. Ability to design secure, observable multi-agent systems using design patterns (ReAct, self-reflection,etc), state management, and tool-calling protocols. About the jobAs the Manager of the Forward Deployed Engineering team, you will lead a team of Forward Deployed Engineers across Southeast Asia, Australia and New Zealand who bridge the gap between the AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debug and together deploys bespoke agentic solutions directly within customer environments.In this role, you will provide technical mentorship to the team while balancing alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.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 Serve as the technical lead, establish code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team. Partner with Sales and Tech Leadership to define requirements for opportunities, deploy specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for the Forward Deployed Engineering team, evaluate AI/ML, systems engineering, and coding skills to build an excellent Engineering team. Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models), and ensure the team maintains subject-matter-expertise in an evolving AI stack. Collaborate with Product and Engineering teams to resolve blockers and translate field insights into road maps while building internal tools to drive organizational efficiency. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurgaon, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience shipping production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms. Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements. Experience building full-stack solutions that interface with enterprise systems. Preferred qualifications: Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of large language models (LLMs)-native metrics (tokens/sec, cost-per-request) and techniques for enhancing state management and granular tracing. Ability to implement agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. 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. As an AI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.You will need to be a high-agency engineer with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.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 Serve as the lead developer for AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive the return-on-investment. Architect and code the integration layer between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google’s AI stack, convert them into reusable modules or formal product feature requests for the Engineering teams. Co-build with Customer Engineering teams to instill Google-grade development best practices, ensure project success and end-user adoption. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience managing partner or client-facing projects, troubleshooting technical issues for partners or customers. Experience with data analysis and database management (e.g., SQL, Python, etc.). Preferred qualifications: Master's degree in Computer Science or Engineering. Experience in an analytical role such as business intelligence, data analytics, or statistics. Passion for the media industry. Ability to communicate in Japanese fluently, in order to communicate effectively with local partners. About the job Our mission is to incubate early stage partnership initiatives and scale new and existing initiatives globally with operational excellence to fuel YouTube's subscriptions growth. We own strategic partner engagement, technical solution design and implementation, technical consulting for internal and external business stakeholders, and tools and services for scaled operations. YouTube Commerce Platform and Premium, and TV subscriptions are some of the product areas our team works on, bringing partnerships agreements to life and driving business impact.YouTube's Commerce Partner Engineering team is a global team responsible for enabling product partnership initiatives for the success and growth of YouTube's subscriptions products. This includes solutions engineering with leading telecom companies, process engineering of new product solutions and tools, and data and insights for business teams. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Lead technical integrations with partners (mainly telcos) in APAC, and ensure the prompt resolution of pre and post launch technical challenges. Understand operational workflows, and identify and address tool needs to enable operational scaling of partner integrations. Improve product feature offerings by advocating for new product features and providing partner feedback to Product Management and Engineering. Provide technical consulting and data insights to business teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience or interest in the media industry. About the jobThe Consumer Experience Operations organization collaborates with cross-functional teams, including Product, Engineering, Vendor Operations, Marketing, Data Science and Legal, to identify and address user pain points and improve the overall support experience. Our team is tasked with developing innovative and user-centric support solutions that address the evolving needs of YouTube's user base — across NFL Sunday Ticket, YouTube TV, and YouTube Music and Premium, as well as Shopping and Fan Funding — with the goal of delivering an exceptional experience while increasing growth and retention. We drive the implementation of self-service tools and automated support workflows, and we equip support agents with the knowledge, tools and skills to provide high quality service. Our goal is to ensure the best possible user experience for YouTube products on any connected devices.We guide operational excellence, at extraordinary scale, for entire device partner experience. Balance business and partner needs with technical constraints, develop innovative, solutions and act as a partner and consultant to those you are working with. Build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.As a Partner Engineer, you will deliver technical solutions and tools to empower internal teams and our partner teams worldwide. You will have the opportunity to lead projects and teams that require close collaboration with other teams like Product, Engineering, Business Development, Operations and Marketing. Play a key role in improving existing operations, defining and commercializing new solutions, bridging product gaps, automating partner operations and taking new initiatives from conception to successful deployment.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 Lead implementation reviews, advocate new product features, and ensure the prompt and proper resolution of technical challenges. Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering. Guarantee the technical aspects of a partner’s integration (both new and ongoing) by providing necessary documentation and technical guidance. Identify, guide, and optimize the business flow from new existing and new business opportunities by leveraging YouTube technologies. Work closely with our Android TV partners in the region and globally to accelerate and improve YouTube integrations on new consumer devices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. 2 years of experience with one or more of the following languages: SQL, R, Python, or C++. Preferred qualifications: Master's degree in a quantitative discipline. 2 years of experience with machine learning systems. Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis. Experience translating analytical insights into business strategies and actions, and creating opportunities to innovate, conceptualize and complete while working with global teams. Experience in metrics analysis, experiment design and automation. Excellent written and verbal communication skills. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As a Scaled Abuse Analyst, you are passionate about technologies and have experience with analyzing large-scale data and scaled systems of review. You thrive in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor to the strategy for reducing network badness on YouTube. You are an independent, critical thinker with sound metrics judgment who has a passion for coaching others, solving technological issues and setting scalable standards. You can balance the short term requirements we face while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly.This role may also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.This role may require on-call work at weekends on a rotational basis.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation and anti-abuse system creation. Design and refine prompts for large language models to improve their accuracy in identifying and classifying abusive content and behavior.  Apply advanced statistical methods to large complex data sets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse. Learn complex and technical concepts and systems and deliver meaningful results using them. Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience. 5 years of experience in reading or debugging code with one or more of the following: Java, C, C++, Python or JavaScript. 5 years of experience troubleshooting and advocating for customers needs, and triaging technical issues (e.g., hardware, software, application, operational, process). Experience with web technologies (HTTP, HTML, DNS, etc.). Experience in system or network administrator level in Linux/Unix or operating systems. Ability to work non-standard hours and differing work rotations or shifts as required. Preferred qualifications: 5 years of experience with designing or managing the distributed systems. Experience with managing hosted services or Software-as-a-Service (SaaS). Experience using packet capture/packet analysis, artificial packet creation, load testing, traffic path analysis to troubleshoot network latency, packet loss, and other issues. Experience in using SQL-like queries to analyze the datasets of logs, extracting insights for performance monitoring, troubleshooting, and security investigations. Understanding of one or more Internet technologies: web-tech (e.g., HTTP, DNS, TLS), email (e.g., SMTP, anti-spam, anti-phishing), networking (e.g., routing, TCP/IP), IP telephony (e.g., SIP, H323), Identity (e.g., AD, SSO, OAuth, AuthSub) and HTML5. About the job In this role, you will be part of a Global team that provides 24x7 support to help customers make the switch to Google Cloud. When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to swiftly resolve the issue with as little customer effort as possible. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting.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 Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Workspace. Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis, for quicker identification and resolution of future issues. Act as a consultant and subject-matter-expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as part of a team of Engineers/Consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours or shifts. Understand customer issues and advocate for their needs with cross-functional teams like Product Management or Software Engineering. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in either system design or reading code (e.g., Java, C++, Python). Experience in technical project management, stakeholder management, solution engineering, or technical consulting. Preferred qualifications: Experience with the ad serving industry and internet technologies. Experience with Android development. Ability to absorb technical concepts and convey them to a non-technical audience. Excellent data analysis and decision-making skills. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. As a Product Solutions Engineer, you will manage technical relationships for publisher clients and product partners. You will lead cross-functional teams in Engineering, Sales, and Product Management to leverage emerging technologies, overseeing the technical execution of Google's online advertising platforms from concept design to support. You will balance business needs with technical constraints to develop innovative solutions, build tools, and prioritize product strategy.In this role, you will engage with digital companies, app developers, and broadcasters to drive business growth and influence product design. You will work with sales teams as a product expert and technical consultant and utilize insights to help publishers build and grow their businesses through Google's ad products.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 Help partners in their day-to-day challenges by delivering innovative and scalable solutions to their problems, troubleshooting their issues, and performing implementation reviews. Advocate for new product features and ensure the prompt and proper resolution of technical challenges. Represent clients’ feedback on features to product management and engineering to improve product offerings. Ensure client satisfaction (both new and ongoing) in terms of technical aspects by providing necessary documentation and technical guidance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architectures and modern cloud infrastructure with networking - switching/routing for ethernet/RoCE/infiniband, in customer-facing or support roles. Experience developing and deploying models using deep learning frameworks (TensorFlow, PyTorch, or JAX). Preferred qualifications: Master's degree in Computer Science, Mathematics, a related technical field. Experience as an IT infrastructure consultant or enterprise architect working in data center investment strategies and proposals. Experience with AI Infrastructure systems, networking technologies (e.g., DPU, RoCE, InfiniBand), cooling, and accelerators, GPUs and TPUs. Experience in leveraging main AI and software stacks and platforms to bring up and deploy AI compute clusters. Knowledge of the AI infrastructure market, including main technology providers, differentiators and trends. Ability to work and grow in fluid environments. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. In this role, you will understand the needs of our customers and help shape the future using AI technology. You will work with Google Cloud Platform's technology and complete AI stack and position the same to our customers in all verticals. You will support Google Cloud sales teams to pilot, and deploy Google Cloud’s industry leading AI/ML accelerators (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups. You will help customers innovate with solutions using Google Cloud’s flexible and open AI infrastructure.You will be working with Google customers on AI Infrastructure server and networking infrastructure deployments. You will guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster/cooling deployments. You will need to visit the customer data center during the bring up phase. You will serve as a technical expert on the Google Cloud AI infrastructure, specifically guiding customers through the architecture, deployment, and optimization of large-scale, cost-efficient training and inference jobs on Cloud TPUs.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 Become a trusted advisor to the top customers, helping them understand and incorporate AI accelerators into their overall cloud and IT strategy by designing training and inferencing platforms, using the accelerators Google Cloud has to offer. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and bench marking. Design and implement complex, multi-host AI training and inferencing solutions on Google Cloud TPUs, focusing on scalability and performance tuning. Conduct performance profiling and optimization of customer models and data pipelines for the TPU architecture, identifying and resolving bottlenecks. Advise customers on best practices for integrating their MLOps workflows with the Google Cloud AI Platform ecosystem for TPU utilization. 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.