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 498 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 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). 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 (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 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 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Pursuit AI Lead, Google Cloud This role is a customer-facing sales and strategy role focused on driving enterprise AI transformation using Google Cloud services. The individual will define AI transformation strategies, architect AI services, build proposals, and act as a trusted advisor to customers, partnering closely with sales leadership. While the role involves understanding and positioning AI capabilities, it does not involve direct AI/ML model development or research. | — | 5 |
| AI Sales Specialist, Financial Services, Google Cloud AI Sales Specialist for Google Cloud's Financial Services sector, focusing on building customer relationships, demonstrating AI solutions (including Gemini and Vertex AI), and driving business growth. The role involves working with customers to deliver business value and identify new product opportunities leveraging AI. | — | 5 |
| Product Lead, Gmail Life Management Product Lead for Gmail Life Management, focusing on integrating shopping journeys and AI features like AI Inbox and Summaries into Gmail to help users manage their lives. This role requires collaboration across various Google teams (Wallet, Shopping, Ads, DeepMind) and driving product definition from conception to launch. |
| — |
| 5 |
| Technical Program Manager, Antigravity (Data), DeepMind Technical Program Manager to own and lead critical data infrastructure initiatives for the Antigravity team, powering modeling flywheel, evaluation frameworks, and product telemetry. Requires technical depth in data engineering at scale, familiarity with data use cases for an agentic product, and collaboration with research and engineering teams. | — | 5 |
| Software Engineer III, Engineering Productivity, Tools and Infra Software Engineer III on the Crystalball team at Google, focused on building and improving tools for preventing performance regressions in the Android Platform. The role involves contributing to A/B benchmarking, metric visualization, alerting, bisection, and triage services. A key responsibility is integrating AI into workflows to reduce latency and save costs related to performance bugs. | Agent | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application, integrating Google technology across the stack, and driving innovation in mobile offerings for enterprise users. The role involves end-to-end application development, backend integration, and refinement of mobile features, with a focus on Gen AI and AI Chatbots. | Ship | 5 |
| Technical Lead, AI/ML Infrastructure This role focuses on building and delivering specialized AI compute platforms and infrastructure at Google, ensuring high availability for massive-scale AI workloads. It involves designing and integrating custom compute topologies with schedulers like Kubernetes, establishing observability, and collaborating with hardware teams. The role requires extensive experience in large-scale infrastructure, distributed systems, and software development. | — | 5 |
| Digital Execution Lead, Digital Delivery for Construction Execution, Google Data Centers This role focuses on designing, developing, and optimizing end-to-end data pipelines and architectures within Google Data Centers. The Digital Execution Lead will ensure data integrity, security, and performance by building scalable ETL/ELT workflows, maintaining cloud data warehouses, and implementing data governance protocols. The role involves collaborating with cross-functional teams to enable advanced analytics and machine learning capabilities through reliable data infrastructure, and managing complex data dependencies using workflow orchestration tools. | — | 5 |
| Partner Lead, Third Party Creative Tech Partner Lead for Third Party Creative Tech at Google, focusing on managing relationships with creative tech and production entities to drive adoption of Google Ads APIs and YouTube best practices. The role involves strategic planning, execution of joint business plans, and acting as a liaison between partners and various Google organizations. Success is measured by partnership maturity and integration of Google solutions to enhance creative quality for advertisers. The role also involves driving adoption of Generative AI and partner tools, identifying upselling opportunities, and contributing to product roadmaps. | — | 5 |
| Staff Interaction Designer, Google Vids Staff Interaction Designer for Google Vids, an AI-powered video tool for Workspace. The role involves crafting user experiences for generative video and recording journeys, translating ambiguous problems into roadmaps, and partnering with Product and Engineering. Focus on user-centered design, integrating AI capabilities into intuitive products. | Ship | 5 |
| Customer Engineer, SLED, New England Google Public Sector Customer Engineer for Google Public Sector, focusing on helping state and local government and educational institutions with their digital transformation using Google Cloud. Responsibilities include partnering with technical sales teams, understanding customer requirements, developing cloud solutions, and troubleshooting technical issues related to database migrations and the data lifecycle. The role involves building go-to-market solutions with partners, owning the technical relationship, and providing best practice advice on integration strategies and enterprise architectures. Minimum qualifications include a Bachelor's degree, 10 years of cloud native architecture experience in a customer-facing role, and experience presenting to technical stakeholders. Preferred qualifications include experience with public sector clients, application migration to cloud platforms, security concepts, networking concepts, and creating demos using generative AI tools. | — | 5 |
| Software Engineer III, Cloud Bigtable SQL and Analytics Software Engineer to help build the next generation of Google Cloud's Feature Store, transforming it into an Agentic Data Cloud Feature Store. This role involves designing and implementing core "SQL for ML" capabilities like continuous materialized views, real-time counters, and vector search (ANN) to enable modern agentic application development. The position requires building high-performance, scalable, and reliable distributed systems and includes participation in a production on-call rotation. | AgentServe | 5 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
