Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (388 roles), India (50 roles), Singapore (43 roles), Poland (23 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Product Manager Lead, Technical Intelligence, DeepMind Lead a team of analysts to provide insights on AI infrastructure, economics, and frontier innovation, guiding Alphabet's capital allocation, planning, and technical roadmaps. This role involves analyzing AI labs, hyperscalers, and supply chains to estimate compute capabilities and financial sustainability, delivering data-driven diligence for strategic decisions. | — | 5 |
| Staff UX Designer, Visual and Motion Design, Google Beam Staff UX Designer for Google Beam, an AI-first 3D video communication platform. The role involves designing new platform experiences, bridging aesthetics and movement, prototyping, and crafting narratives for 3D and AI products. Responsibilities include defining product strategy, creating concept reels and motion mockups, authoring a motion language, and resolving spatial design challenges. Requires experience in product design with a focus on hybrid visual and motion design, and familiarity with 3D design tools. Experience using Generative AI for creative concepting is preferred. | — |
| 5 |
| Senior Product Engineer, Machine Learning Accelerators This role focuses on the engineering and manufacturing of hardware accelerators for machine learning, specifically within Google's supply chain and operations. The individual will lead technology assessment, collaborate on quality and reliability, and support pre-production builds to ensure the successful deployment of next-generation ML systems. While the role is within an AI-focused organization and deals with ML accelerators, the core responsibilities are in hardware engineering, manufacturing, and supply chain management, rather than direct AI/ML model development or research. | — | 5 |
| AI Sales Specialist, Google Cloud Sales role focused on growing Google Cloud's AI business by building customer relationships, identifying AI use cases, and demonstrating the business value of Google's AI solutions. The role involves working with customers to build new products leveraging AI and developing go-to-market strategies. | — | 5 |
| Senior Software Engineer, Infrastructure, Google Workspace Google is seeking a Senior Software Engineer for its Workspace infrastructure team. This role involves developing and enhancing software solutions for Google's productivity tools, which are being enhanced with AI capabilities. The engineer will work on large-scale infrastructure, distributed systems, and potentially machine learning systems, collaborating with AI model builders to shape the future of work. Responsibilities include coding, design reviews, code reviews, documentation, and issue triaging. | — | 5 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on leading engineers, setting team priorities, developing technical roadmaps, and guiding system designs for large-scale AI and infrastructure projects. The role involves people management and technical leadership within a team that supports Google's AI models and computing power. | Serve | 5 |
| Senior Product Manager, Generative AI, Google Cloud Product Manager for Generative AI experiences and solutions on Google Cloud Platform, responsible for guiding products from conception to launch, incubating, prototyping, and iterating on new ideas. | — | 5 |
| GECX Sales Specialist, Cloud Nordics Sales Specialist role focused on growing Google's Gemini Enterprise for Customer Experience (CX) business by building relationships with customers and internal sales teams. The role involves identifying AI use cases, articulating solution differentiators, and driving pipeline for Google Cloud AI products. | — | 5 |
| Business Product Lead, High Performance Culture This role is a Business Product Lead focused on delivering talent and career solutions for Google employees, managers, and leaders, particularly in the context of the AI era. The role involves defining product strategy, building and evolving AI prototypes into scalable solutions, managing the product lifecycle, and influencing executive leadership. While the role deals with AI-powered products and attracting AI talent, its core function is product management and strategy within HR and talent operations, not direct AI/ML model development. | — | 5 |
| Software Engineering Manager II, Audio Experience, Pixel Software Engineering Manager II for Google Pixel's Audio Experience team, focusing on developing next-generation user intelligence and an audio platform. The role involves leading end-to-end design, managing an engineering team, and solving complex technical challenges in audio capture and processing to enhance user experiences while maintaining high privacy standards. Responsibilities include driving strategic outcomes, designing systems, developing roadmaps, managing team performance, and ensuring alignment with partners. | Ship | 5 |
| Technical Program Manager III, GPU Infrastructure Reliability, Google Cloud This role is for a Technical Program Manager III focused on GPU Infrastructure Reliability within Google Cloud. The primary responsibility is to lead the end-to-end development, project planning, and delivery of next-generation Cloud GPU products, including software qualification and release strategies for AI hypercompute clusters. The role involves managing escalations, mitigating risks, and coordinating cross-functional initiatives related to AI infrastructure customer onboarding and production support. It also includes participating in the development of core management software, monitoring, and diagnostic tooling for scalable Cloud ML solutions. While the role supports AI products, it is not directly building or researching AI models but rather managing the infrastructure that enables them. | — | 5 |
| Technical Program Manager, Workspace Horizontal Technical Program Manager for AI features across Google Workspace products, focusing on horizontal AI features and end-to-end feature development. The role involves shaping the AI user experience, working across frontend, serving, and integrations, and collaborating with model builders to impact billions of users. | Ship | 5 |
| Customer Engineer, Platform, SLED, Mountain West, Public Sector Customer Engineer for Google Cloud Platform, focusing on the Public Sector (SLED). This role involves partnering with technical sales teams to understand customer business challenges, architecting cross-pillar cloud solutions, and driving technical wins. While the role uses generative AI tools and services, its core function is not building AI models but rather enabling customer digital transformation on Google Cloud. | — | 5 |
| Senior Staff Software Engineer, Cloud AI, Full Stack Senior Staff Software Engineer for Google Cloud AI, focusing on the Colab platform. This role involves setting technical direction, ensuring scalability and reliability, and mentoring engineers. While the team works on AI challenges and collaborates with product teams, the primary focus of this specific role is on the platform's engineering excellence and developer tooling, rather than direct AI model development or research. | — | 5 |
| Principal Platforms Analytical Lead, Large Customer Solutions This role focuses on leveraging Google Marketing Platform and data-driven insights to help large customers and agencies achieve their business goals. The Lead acts as a quantitative expert for advanced analytics, experimentation, and measurement, partnering with sales teams to drive customer success and growth. While the role mentions AI-era and Generative AI tools, its core function is in sales, analytics, and product strategy within the marketing platform, not in building AI models. | — | 5 |
| Product Manager, Core Experiences XR App Product Manager for Google's Core Experiences XR App team, focusing on building the next generation of extended reality devices and applications. The role involves defining product roadmaps, partnering with cross-functional teams, and owning the user onboarding experience, with a strong emphasis on the convergence of AI and XR. | — | 5 |
| Senior Design Verification Engineer, Google Cloud This role focuses on the verification of AI/ML hardware accelerators (TPUs), ensuring their performance and accuracy for AI/ML workloads. The engineer will develop verification environments and collaborate with design teams to ensure the reliability of complex digital designs. | — | 5 |
| Workspace Abuse and Safety Product Manager, Enterprise Protections Product Manager for Google Workspace focusing on Enterprise Protections, specifically addressing threats and abuse related to Generative AI features. The role involves defining safety strategies, collaborating with data science and engineering teams to build ML-based protection mechanisms, and ensuring product resilience against adversarial threats for enterprise customers. | Ship | 5 |
| Staff Software Engineer, Machine Learning Compiler, Google Research Staff Software Engineer on the Machine Learning Compiler (MPACT) team, developing open-source compiler infrastructure (LLVM, MLIR) for Google's TPU family of processors. The role involves optimizing HPC codes (C, C++, CUDA) and creating MLIR components for efficient TPU execution, focusing on backend code generation and optimization. | — | 5 |
| Learning Designer, Global Escalation Management Operations This role focuses on designing and implementing internal knowledge base systems and operational training programs for a global escalation management operation. While it involves using AI tools to enhance efficiency and content creation, the core function is not building AI models but rather leveraging them to improve existing operational processes and knowledge dissemination. | — | 5 |
| Staff Software Engineer, Capsium Policies, AI, and Compliance Staff Software Engineer role focused on AI and compliance within Google Cloud Platform. The role involves setting technical direction for policy management, security controls, and foundational platforms, with a focus on integrating emerging use cases and agents into scalable and reliable GCP systems. This is an engineering role that leverages AI/ML for compliance and policy enforcement. | Agent | 5 |
| Software Engineering Manager, Google Cloud Storage Google Cloud Storage is seeking a Software Engineering Manager to lead a team responsible for delivering client experience for GCS and enabling AI/ML workloads for customers. This role involves managing engineers, setting team priorities, developing technical roadmaps, and designing/vetting systems for a planet-scale distributed storage system that handles exabytes of user data. The team is re-architecting the software stack to support demanding AI/ML customer workloads. | — | 5 |
| Senior Strategist, Ads and Shopping, Scams This role focuses on protecting users from offline scams within the Google Ads platform by using data to provide recommendations and devise solutions. It involves identifying automation and efficiency opportunities, optimizing human review costs using Applied AI and machine learning, and collaborating with cross-functional teams to improve user safety and online experience. The role requires analyzing abuse trends, enforcing policies, and identifying product vulnerabilities. | Agent | 5 |
| Global Data and AI Strategic Partner Development Manager This role focuses on facilitating C-level relationships with partners, showcasing Google's technology solutions, and guiding partners in developing their service offerings, particularly around AI and Data on Google Cloud. The manager will act as the primary technical partner liaison, driving the co-creation and adoption of AI solutions, and accelerating customer value through technical enablement and strategic go-to-market execution, specifically mentioning Google Gemini Enterprise. | — | 5 |
| Senior Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, involving security assessments, threat modeling, and developing guardrails for AI agents to protect Alphabet's data. The engineer will adapt existing security knowledge to mitigate risks from AI use and advise on secure AI development paths. | Agent | 5 |
| Associate Principal Analyst, Scams and Verification, Trust and Safety This role focuses on protecting users from offline scams by using data analysis, applied AI, and machine learning to provide recommendations, devise solutions, and optimize human review processes. The analyst will collaborate with engineers to develop algorithms, identify automation opportunities, and build predictive models to enhance detection systems and ensure user safety within Google's products. | Agent | 5 |
| Software Engineer, Voxel, JIT and Hardware Accelerated GoogleSQL Software Engineer on the Voxel team at Google, focusing on optimizing GoogleSQL query execution through JIT compilation and hardware acceleration using MLIR. The role involves designing and implementing efficient kernels for SQL operations across heterogeneous hardware (CPUs, GPUs, TPUs) to support Google's AI/ML infrastructure, including vector search and data preparation. | — | 5 |
| Software Engineer, TPU Software Systems, Cloud Software Engineer role focused on designing, developing, and maintaining the software infrastructure for Google's TPU supercomputers, specifically tailored to support massive-scale machine learning applications and enable efficient execution of data parallelism algorithms. | Serve | 5 |
| Senior Staff Technical Program Manager for Safety and Privacy, GeminiApp, DeepMind The Senior Staff Technical Program Manager will lead the cross-functional execution, alignment, and approach for a universal AI assistant product, focusing on safety, privacy, and security. This role involves co-designing safety mitigations with modeling teams, translating ambiguous priorities into executable programs, and managing complex dependencies to ensure responsible-by-design features from base model to UI. The role requires a blend of technical understanding, regulatory awareness, and leadership to deliver a trustworthy and compliant AI product at scale. | — | 5 |
| Global AI Strategic Partner Development Manager This role focuses on driving the adoption and go-to-market strategy for Google's AI solutions, specifically Gemini Enterprise, on Google Cloud. The individual will act as a technical and strategic liaison with partners, helping them develop their AI service offerings, co-create solutions, and accelerate customer value. Responsibilities include technical enablement, architectural review, and leading GTM execution for AI initiatives. | — | 5 |
| AI Technical Enablement Lead, Google Cloud This role focuses on developing and executing technical enablement programs for Google Cloud's AI products, targeting Go-to-Market (GTM) technical roles like Forward Deployed Engineers and Customer Engineers. The lead will create training materials and strategies to help these roles effectively use, demo, and showcase AI products to customers, driving technical conversations and understanding of Google Cloud's AI offerings. | — | 5 |
| Senior Silicon Design Verification Engineer, Google Cloud This role focuses on the verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), which are designed to accelerate Artificial Intelligence/Machine Learning (AI/ML) workloads. The engineer will be responsible for the full verification life-cycle, including planning, test execution, and coverage closure, ensuring the reliability and performance of these AI/ML-focused hardware components. | — | 5 |
| Staff Software Engineer, Home Infrastructure This role is for a Staff Software Engineer on the Health and Home Infrastructure team at Google. The team focuses on building scalable serving and offline infrastructure, developer platforms, and data services for Google Home and Nest products. The role involves managing a team, developing and maintaining high-QPS distributed systems, and ensuring reliability and low-latency performance. While the team uses AI (like Gemini) to enhance product features, the core responsibility of this role is infrastructure engineering, not direct AI/ML model development. | — | 5 |
| Senior Business and Marketing Data Scientist This role focuses on applying data science and advanced analytics to solve business and marketing challenges within Google. The Senior Business and Marketing Data Scientist will translate business problems into analytical solutions, develop statistical models, improve data pipelines, and build evaluation metrics. The role involves partnering with internal teams, driving strategic initiatives, and influencing stakeholders to deliver customer-centric, data-driven insights for marketing and product impact. While AI tools may be used, the core function is not building AI models but rather applying data science for business insights and optimization. | — | 5 |
| Technical Program Manager, MarComm OS and Ops, DeepMind (Fixed-Term Contract) Technical Program Manager for MarComm OS and Ops at Google DeepMind, focusing on operational infrastructure, piloting generative AI tools for internal use, and translating organizational objectives into actionable initiatives. The role involves partnering with engineering teams, managing program budgets, and advising leadership. | — | 5 |
| Senior Engineer, GDC, Lifecycle Management, Supply Chain Platform This role involves designing intelligent workflows and autonomous AI agents to manage the lifecycle of Google Distributed Cloud (GDC) infrastructure, from hardware ordering to deployment and turn-up processes. The goal is to evolve traditional infrastructure management into a smart, self-managing platform. | Agent | 5 |
| Staff Software Engineer, Gemini App, Data Engineering, DeepMind Staff Software Engineer on the Gemini Apps Data Engineering team at Google DeepMind. This role focuses on architecting and operating data pipelines for Gemini, a large-scale AI product. Responsibilities include building scalable data pipelines for analytics and ML/AI training, ensuring data quality and reliability, and providing technical leadership to a team of engineers. The role involves working with stakeholders across Data Science, model release, and DeepMind to solve data challenges and support Gemini's growth. | Data | 5 |
| Product Manager, Googler Experience Product Manager for Googler Experience, focusing on agentic experiences and leveraging AI/ML for prototyping and product development. The role involves leading customer user journeys, partnering with cross-functional teams, launching new products, and using market research to shape product direction. Requires experience with technical products and AI/ML technologies, with a preference for experience with Generative AI for consumer products. | — | 5 |
| Global Content Manager, Customer Stories, Cloud The Global Content Manager for customer stories will partner with the Marketing Customer Reference team to identify, write, and amplify customer stories for field sellers. This role will work cross-functionally across sales, marketing, PR, strategy and operations, and product teams to ensure sellers have access to the right customer content at the right time via generative AI chat agent tools, libraries, sales newsletters, industry community forums, dashboards, and more. The role is within Google Cloud's Go-To-Market team, leveraging Google's AI portfolio. | — | 5 |
| Senior Staff Software Engineer, Regulatory, Compliance and Policy Senior Staff Software Engineer focused on regulatory compliance and policy within Google Search, leveraging LLMs and agentic solutions to translate external requirements into infrastructure enhancements. The role involves driving technical work, strategic vision, and OKR planning, with a strong emphasis on C++ programming and software design/architecture. | — | 5 |
| Product Marketing Manager, Retail Ads Product Marketing Manager for Google's agentic commerce and AI retail solutions, focusing on B2B2C marketing. The role involves architecting global narratives, defining messaging frameworks, and creating compelling content to influence the retail ecosystem's adoption of AI-driven commerce solutions. This cross-functional role requires strong storytelling, collaboration with various teams, and the ability to integrate generative AI tools into workflows. | — | 5 |
| Software Engineer Manager II, Google Workspace This role is for a Software Engineering Manager II at Google Workspace, focusing on managing software engineers and contributing to product strategy for AI-enhanced productivity tools like Gmail, Docs, and Meet. The manager will guide teams in developing AI features, collaborate with product and UX, and invest in team career development, including adopting DevAI practices. The role involves technical leadership, people management, and overseeing large-scale projects. | — | 5 |
| Staff Software Engineer, Search Feature Staff Software Engineer role at Google, focusing on building a transformative developer experience for Search developers. The role involves designing, developing, testing, and deploying software solutions, with a strong emphasis on platform systems that scale for Search product needs. While AI is mentioned as a domain of interest and knowledge is expected, the core responsibility is software engineering for developer tools within the Search product, not direct AI/ML model development. | — | 5 |
| AI and Knowledge Strategist This role focuses on developing content strategies for Google Ads, specifically leveraging AI-powered tools to map user intent to content solutions. The strategist will translate business requirements into AI prompts, monitor model behavior for accuracy and grounding, and create high-quality content solutions. A key aspect involves understanding and applying Generative AI guardrails to mitigate risks like hallucinations and ensure reliable AI-driven experiences. | — | 5 |
| Senior Software Engineer, BigQuery SQL Translation Senior Software Engineer role focused on enhancing a BigQuery SQL Translation Service that uses Gemini AI LLMs and a semantic compiler engine to convert SQL from various databases to BigQuery SQL. The role involves improving the translation engine, extending semantic analysis for new migration cases, and working with large-scale distributed systems. | Agent | 5 |
| Staff Site Reliability Engineer Staff Site Reliability Engineer for Google Cloud's AI infrastructure, focusing on the reliability and supportability of data intelligence systems (Woodshed and Napa) that underpin Google's AI initiatives. The role involves leading the SRE team, improving system design, automation, and capacity management for large-scale, distributed systems, with a specific emphasis on production ML systems. | Serve | 5 |
| Product Strategy and Operations Lead, AI and Infrastructure Product Strategy and Operations Lead for Google's AI and Infrastructure Cloud business, focusing on business and product strategy, operations, and communication. This role partners with senior leadership to drive strategic projects, incubate new initiatives, provide analytics support, and facilitate business operations for external-facing AI/ACI Cloud and internal-facing CoreML/TI businesses. The role involves developing business-level and product strategies, driving strategic projects, and providing data-driven recommendations. | — | 5 |
| Associate Product Counsel, Health and Home, Pixel and Research Product Counsel for Google's Health and Home, Pixel, and Research teams, focusing on legal guidance for devices and software with AI features, including the Gemini assistant. Responsibilities include advising on privacy, product launches, and regulatory issues. | — | 5 |
| Software Engineer III, YouTube Shorts, Client Side Mobile (iOS) Development Software Engineer III role at Google YouTube Shorts, focusing on client-side mobile (iOS) development. The role involves driving full-stack development for the Shorts consumption experience, including client development, cross-platform UI, and C++ frontend serving. A key aspect is pioneering work streams to build ML models and heuristics for personalizing and optimizing the Shorts player UI. Experience with data-driven UI personalization and Swift development is required. | Agent | 5 |
| Electrostatic Discharge Engineer Electrostatic Discharge (ESD) Engineer responsible for designing, implementing, and maintaining measures to prevent and control electrostatic discharge from electronic components and devices, with a focus on TPU architecture for AI/ML applications. | — | 5 |
