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Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience selling Infrastructure-as-a-Service/Platform-as-a-Service (IaaS/PaaS), AI/Agentic products in the technology industry. Experience working with traditional/non-digital native businesses in India. Experience in Cloud Sales and consultative selling. Preferred qualifications: Experience working with CRM systems (e.g., Salesforce). Experience with technical or sales engineering in Computer Science or Information Systems and understanding of the technology and cloud computing market, along with passion for Google Cloud products (Google Workspace, Google Cloud Platform). Ability to balance strategy with day-to-day details, along with excellent organizational and project management skills. Ability to stay goal-oriented, confident, and thorough in all tasks. Ability to build influential relationships and deliver results in a cross-functional/matrixed environment. About the jobAs a member of the Google Cloud Platform (GCP) team, you will inspire leading companies to free themselves from the overhead of managing infrastructure, provisioning servers and configuring networks by using Google’s array of Cloud platform products. You will lead the charter on helping Small Medium Business (SMBs) unlock productivity and efficiency by leveraging Google Clouds agentic and generative AI offerings. Using your passion for Google products, you help spread the speciality of Google to organizations around the world.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 territory and account level business goals across the assigned product portfolio. Manage opportunities through the entire cycle simultaneously, work with cross-functional teams as necessary and serve as the primary customer contact for all adoption-related activities. Drive business development, forecast, and achieve goals by leading customers through the entire business cycle. Work with our Customer Engineers and trusted Google Cloud Partners as a critical member of the Sales team to maximize business results and cultivate opportunities with small and medium businesses. Collaborate with marketing, sales development and other cross functional teams to build a holistic territory plan and execute on the same to grow the assigned markets. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Experience in the following areas: relational databases, database internals, distributed databases, storage, SQL. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with C/C++ and designing and developing large-scale distributed systems or relational databases in concurrency control, indexing, transactional systems, multithreading and synchronization, compilers, query processing. Experience with RDBMS internals. Experience with query optimization and compilers. 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. AlloyDB is part of the Google Cloud Platform (GCP) Database area that focuses on Relational Databases (RDBMS); a business opportunity and growth accelerator for other GCP products.AlloyDB is a new enterprise grade transactional database. This new product combines the familiarity of open source PostgreSQL front-end, with custom-built storage and query engines for availability, performance, security and manageability. The product unlocks a huge market opportunity for enterprise databases to move easily into the cloud, without sacrificing commercial DB features.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 for high-performance database internals, specifically focusing on the design and implementation of query engines for AlloyDB. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies, driving architectural direction for large-scale distributed systems and transactional consistency. Review code developed by other developers and provide feedback to ensure best practices (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, including performance benchmarking and optimization of query 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Preferred qualifications: Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security. Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution). Experience building the technical strategies to uncover new workloads with customers. Experience with security concepts (e.g., encryption, identity management, access control, attack vectors). 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 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. As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win and define the delivery and consumption plans. You will use your business acumen and presentation skills to engage with technical and business leaders, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend business expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.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 Develop and own the technical account plan and strategy, participating in planning and supporting targeted business motions. Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through demos, pilots and workshops. Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase. Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience building and developing large - scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.Experience in architecting and designing a distributed system in a public cloud environment (e.g., Google Cloud Platform).Experience working with Kubernetes, public cloud infrastructure, and cloud security.Experience in developing and maintaining backend systems.Preferred qualifications: 5 years of experience in software development building large-scale platforms. Experience contributing to open source projects or working with open source community. Understanding of cloud architectures, public and private cloud based systems. Ability to navigate open-ended technical challenges and make proper trade-offs. 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. Google Distributed Cloud - Airgapped (GDCag) is a new, converged hardware and software solution that brings selected Google Cloud Platform services on-premises. It is designed for customers who need to run cloud workloads in air-gapped (no connectivity to Google Cloud Platform) and highly secure environments due to regulations or policies, while still gaining operational efficiency and a consistent Google Cloud Platform experience.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 Build a scalable platform that supports key business deliverables for Google Distributed Cloud - Airgapped. Work closely with a variety of Google Distributed Cloud - Airgapped teams, Google Cloud Platform teams, and external vendors to ensure the timely delivery of the Google Distributed Cloud - Airgapped software stack. Influence and shape the security architecture and roadmap of Google Distributed Cloud - Airgapped in live threat detection, vulnerabilities detection, and remediation. Collaborate with Google Distributed Cloud - Airgapped Product Management, Principals, and Architecture to solve broad, impactful problems to raise the bar for quality, robustness, operability, and velocity. Define Agentic Artificial Intelligence opportunities in Google Distributed Cloud - Airgapped in the space of fault remediation and architect, design, and land solutions. Drive alignment of Google Distributed Cloud - Airgapped security components with Google Cloud Platform security architecture. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Experience in building and maintaining data platform. Experience with databases and performance troubleshooting. Knowledge of observability products (e.g. Datadog, Prometheus, ELK, OTel etc.). About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will empower users to detect, understand, and optimize their databases through an easy, AI-powered experience. You will use AI/ML to provide “zero-admin” database management for enterprise users and developers. You will also deliver AI-assisted journeys for developer and database admin personas, including intelligent agents to monitor and troubleshoot the performance, health, and security of all Google Cloud Platform Databases.Additionally, you will help users manage their apps through Cloud Assist integrations. You will enable users to deploy and troubleshoot applications with one-click integrations that simplify the complexities of database and service layers.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 Design and deliver innovative products in the Database Intelligence Platform team to all Google Cloud Platform (GCP) wide Databases (DB’s). Provide thought leadership and collaborate with product and engineering teams to ensure high-quality and delivery of Data platform, AI Agents, MCP servers related initiatives. Work closely with the team, engage in design and code reviews to ensure best practices and foster a culture of continuous improvement. Collaborate with leads across all DB teams in GCP (i.e. Cloud SQL, AlloyDB, Bigtable, FireStore, MemoryStore, Spanner) and ensure alignment on technical direction. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree, or equivalent practical experience.8 years of experience in software development.2 years of experience in a people management or team leadership role.3 years of experience in a technical leadership role.Experience in Relational Database Management Systems. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field.3 years of experience working in a complex, matrixed organization.Experience with Cloud Native development and micro-services. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.Oracle database workloads are part of Google Cloud Platform (GCP) Databases that focus on Relational Databases (RDBMS) and growth accelerator for other GCP products. Oracle database workloads have a significant footprint in enterprise data centers. As part of their cloud journey and digital transformation, enterprise customers rely on GCP to provide a seamless experience running and modernizing their Oracle workloads. The team's charter is to make the Oracle database workload a seamless experience for our enterprise customers. We are currently building several new solutions to provide a frictionless and differentiated experience for Oracle customer onboarding and easier migration from on-premises or other clouds.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 Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the mid-term technical goal and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and 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.

Minimum qualifications: Bachelor’s degree in Computer Science Engineering, or equivalent practical experience. 8 years of experience in a technical project management or a customer-facing role. 7 years of experience with enterprise systems such as customer relationship management (CRM), databases (e.g., Cloud SQL, BigQuery), security (e.g., IAM roles, service accounts) and application development services (e.g., Cloud Run, Cloud Build, Cloud Source Repositories). Experience taking production-grade AI-driven solutions from conception to launch and architecting Gemini Enterprise-based agents on Google Cloud Platform (GCP). Preferred qualifications: Experience building browser-based UIs and lightweight application front-ends (e.g., Streamlit, Gradio, React) to rapidly demo and deploy "vibe-coded" AI workflows for end-users. Experience setting up catalog tracking, system safeguards, and evaluation frameworks to govern and operationalize an active community-built agent repository. Experience with prompt engineering and a deep understanding of how to interact with and guide large language models using Gemini. Experience implementing multi-agent systems using frameworks. Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Proven ability to implement secure 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 Solutions Consultant, Partner Global System Integrators (GSI), you will manage blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching 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 lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment. Architect and code the "connective tissue" between Google’s AI products and live infrastructure, including APIs, legacy data silos, and security perimeters. Identify repeatable field patterns and technical "friction points" in Agents stack, converting them into reusable modules for other agents. Co-build with field to instill Google-grade development best practices, ensuring long-term project success and high 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Experience in Apache Spark for data processing. Preferred qualifications: Experience driving product goal, go-to-market strategy, and design discussions. Experience working on developer tools or open source projects. Experience with data analytics tools (Hadoop, Spark), project involvement, and committership. Ability to drive results in collaborative, cross-functional environments with minimal oversight. About the jobAt 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. In this role, you will be responsible for Google Cloud Platform (GCP) Data Analytics' big data analytics portfolio for Spark and other open source components in Dataproc and Serverless Spark.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 Drive the new set of innovation and growth powering open source analytics at scale on Google Cloud. Work closely with customers, field and partners to address unmet need. Partner with business development and go-to-market (GTM) teams to build growth strategies. Partner with engineering, research and key stakeholder teams to align roadmap and objectives and key results (OKRs). 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 field, or equivalent practical experience. 5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience managing client-facing projects, troubleshooting technical issues, and working with engineering and sales services teams. Preferred qualifications: Experience building data pipelines specifically for AI agents, vector databases, or feature stores. Experience managing data privacy and compliance in a highly regulated or large-scale corporate environment. Strong understanding of data infrastructure concepts and ability to layout policies for a foundational data layer. Familiarity with Google Cloud’s data stack (BigQuery, Dataflow, Pub/Sub, Vertex AI). Ability to translate executive-level business requirements into technical data architectures. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses grow. 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. The Central Tooling and Analytics team is the operational backbone of Google Cloud’s efficiency. We specialize in engineering high-impact tools and streamlined workflows designed to reduce manual toil and improve decision making. At the core of our tooling and analytics strategy, the Central Data Engineering team aims to provide high-quality signals required to power agentic workflows and AI-driven automation across the organization curating data across many critical pillars like programs, products and people.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 the foundational design of the WISE data layer. Architect the environment to be AI-native, ensuring it supports both high-performance analytics and the low-latency requirements of Large Language Model (LLM) based agents. Design and implement sophisticated data policies, Identity and Access Management (IAM) protocols, and environment management strategies to ensure secure, multi-tenant access. Scope and design sophisticated data models for complex, intersecting domains (people, spend, objectives and key results, and programs). Ensure these models serve as the definitive Single Source of Truth (SSoT) for Google Cloud Platform (GCP) leadership. Translate business logic into agentic-ready datasets. Optimize data structures specifically for Retrieval-Augmented Generation (RAG), vector embeddings, and tool-use by AI agents. Onboard new domains (product, commercial metrics) while constantly refreshing the existing domains. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of technical leadership and people management experience. Experience designing and implementing distributed systems. Preferred qualifications: 5 years of experience as a team manager. Experience with ML algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline. Experience building infrastructure for models, diagnosis failures and performance analysis. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 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 and execute on the local GCSFuse team's main charter for AI/ML storage solutions, focus on AI/ML solutions, GCSFuse, FusionFS, Observability and Debuggability, benchmarking, performance investigation and storage optimizations and client side products. Develop and enhance AI/ML client side solutions for storage. Lead the team to design, develop and tune benchmarks for Google Cloud Platform (GCP) Storage systems with the goal to make GCP Storage the best for AI/ML workloads. Assist key customers in on boarding their AI/ML workloads onto GCP storage. 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.