Google currently has 612 active AI-related job listings. The majority of these roles, 44%, are focused on agents, with serving infrastructure representing another significant portion at 25%. Engineering is the most frequent function for these positions. The company is hiring for AI roles across several technical areas, including agent orchestration, model serving, and LLM observability.
Currently tracking 528 active AI roles, with 1268 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
Google currently has 612 active AI-related roles in our index. The most common open titles are: Software Engineer (4), Senior Software Engineer (3), Software Engineer III, AI/ML, Google Cloud (3), AI Adoption Customer Engineer, Google Cloud (2), AI Outcome Customer Engineer, Cloud AI Tech GTM (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), 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 (381 roles), India (53 roles), Singapore (40 roles), United Kingdom (26 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 525 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Technical Lead, Storage Distributed and Sovereign Cloud This role focuses on building and optimizing storage solutions for distributed and sovereign cloud environments, with a specific emphasis on supporting advanced AI/ML workloads. The Technical Lead will drive core storage features, enhance observability, and architect solutions for secure, disconnected environments, while also mentoring engineers and leveraging AI tooling for developer velocity. | — | 5 |
| Platform Customer Engineer, Healthcare and Life Sciences, Google Cloud Customer Engineer for Google Cloud's Healthcare and Life Sciences sector, focusing on AI/ML solutions. Responsibilities include partnering with technical sales teams, understanding customer needs, developing cloud solutions, conducting proofs-of-concept, and troubleshooting technical issues. Requires experience with cloud-native architecture, customer-facing roles, and machine learning model development and deployment. | — | 5 |
| — |
| 5 |
| ASIC Power Engineer, ML Accelerators This role focuses on designing and verifying custom silicon (ASICs) for AI/ML hardware acceleration, specifically Google's TPUs. The engineer will work on power modeling, optimization, and architectural design of these accelerators used in data centers to power Google's AI/ML applications. | — | 5 |
| Creative Technologist, Platforms and Devices Developer Marketing This role focuses on creating demos and educational content for the Android ecosystem, leveraging the latest AI models and agentic coding tools to inspire developers. The Creative Technologist will build groundbreaking demos, create social and video content, and experiment with AI tools to showcase Android's capabilities. | Agent | 5 |
| Senior Software Engineer, Finance and Growth Platform, Payments This role is for a Senior Software Engineer on the Consumer Payments Finance and Growth Platform team at Google. The team owns the infrastructure for payments data processing, growth, engagement, and business generation. The role involves designing, developing, and maintaining scalable features and infrastructure, contributing to architectural evolution, and ensuring performance and reliability of critical services. While the role requires experience with Generative AI and agentic technologies, the core function is engineering for a financial platform, not building core AI models or research. | — | 5 |
| Design Verification Engineer, TPU, Silicon, Google Cloud Design Verification Engineer for Google's TPU (Tensor Processing Unit) hardware, focusing on verifying complex digital designs for AI/ML applications. The role involves the full verification life-cycle, building constrained-random verification environments, and ensuring the reliability of AI/ML workloads on TPU hardware. | — | 5 |
| Software Engineer, Finance and Growth Platform, Payments Software Engineer on the Consumer Payments Finance and Growth Platform team at Google, focusing on infrastructure for payments data processing, growth, engagement, and business generation. The role involves designing, developing, and maintaining scalable features and infrastructure, contributing to architectural evolution, and ensuring performance and reliability of critical services. Minimum qualifications include 2 years of software development experience and 1 year of experience with Generative AI, Agentic AI, LLMs, AI evaluations, training, or models. Preferred qualifications include experience with AI/ML systems and developing Generative AI Agentic solutions. | — | 5 |
| Regulatory and Litigation Counsel, AI Safety This role is for a Regulatory and Litigation Counsel focused on AI Safety, providing legal guidance and managing responses to governments and regulators regarding AI technologies. The role involves working with cross-functional teams to address legal and policy questions at the intersection of AI innovation and regulatory scrutiny. | — | 5 |
| Product Marketing Manager, AI Maker, Commerce, Ads Marketing Product Marketing Manager for AI Maker in Commerce, Ads Marketing at Google. This role focuses on driving the AI transformation strategy for consumer shopping, retail, and US Ads marketing teams. The individual will architect strategic frameworks, marketing solutions, and operational processes to increase adoption of Google Products, leveraging AI to disrupt business areas, improve efficiency, and accelerate output. The role requires experience with AI/ML tools and driving digital transformation. | — | 5 |
| Senior Software Engineer, Flume ML Senior Software Engineer role focused on advancing the schedulability and autotuning of a planet-scale data processing infrastructure product that powers foundational AI/ML features for Google Cloud. The role involves designing, developing, and maintaining large-scale software solutions, addressing complex technical issues, and working with mission-critical customers to optimize ML pipelines and data processing workloads. | Serve | 5 |
| Group Product Manager, Customer Experience Ads Product Manager for Google Ads customer experience, focusing on defining and executing AI product roadmaps, collaborating with engineering on AI/ML applications, and advocating for users within the Google Ads ecosystem. | — | 5 |
| AI Adoption Customer Engineer Customer Engineer role focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for AI solution engineering and deployment. | Agent | 5 |
| Design Verification Lead, Google Cloud This role focuses on the design verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), that power AI/ML workloads for Google's direct-to-consumer products and Google Cloud. The lead will own the full verification life-cycle, build verification environments, and ensure the reliability of AI/ML workloads on TPU hardware, collaborating with design and verification engineers. | — | 5 |
| Solutions Consultant, Google for Education This role is a Solutions Consultant for Google for Education, focusing on integrating Google's education tools, including AI-powered ones like Gemini, into educational institutions. The role involves direct sales, technical advocacy, customer requirement analysis, solution design, and presenting product demonstrations. While the role interacts with AI products and aims to shape the future of advertising in the AI-era, the core craft is not building or researching AI models, but rather selling and implementing AI-enhanced solutions. | — | 5 |
| Staff Software Engineer, GCS Object Context and Search Staff Software Engineer for Google Cloud Storage Object Context and Search team, focusing on designing and developing semantic storage and search solutions. The role involves leading the technical roadmap, ensuring reliability, scalability, and performance of systems, and building high-performance storage and low-latency retrieval systems at scale. | AgentServe | 5 |
| Technical Program Manager III, Data and Analytics, Cloud Learning Services Technical Program Manager for Google Cloud's Learning Services team, focusing on data and analytics programs. The role involves leading complex, multi-disciplinary projects, managing the AI roadmap, and driving the AI data strategy to leverage AI in educational technology for millions of learners. Requires experience in program management, data analytics (SQL, Python), and the software development lifecycle. | — | 5 |
| Business Intelligence Developer, Cloud Finance This role focuses on building business intelligence tools and data products for Cloud Finance, with a significant emphasis on leveraging ML and AI for anomaly detection, forecasting, and agentic capabilities to drive financial insights and automation. The role involves owning data product lifecycles, developing scalable models, leading process innovation, and communicating insights to executive leadership. | AgentData | 5 |
| Senior Director, UX, YouTube Emerging Experience and Community Senior Director, UX for YouTube's emerging creation and community experiences, including Shorts and YouTube Create. Responsible for leading the next generation of AI-powered creation tools and driving user-centered strategy. Focuses on product excellence and cross-functional influence. | — | 5 |
| Software Engineer III, Engineering Productivity, Google Cloud Software Engineer III for Google Cloud's Spanner EngProd team, focusing on building tools and infrastructure to improve developer productivity, release velocity, and quality. The role involves integrating modern engineering patterns like AI/agents to enhance the Spanner developer experience and automate workflows. | — | 5 |
| Staff Hardware Design Engineer, Platforms Infrastructure Engineering This role focuses on designing and building hardware systems for Google's data centers, with a specific emphasis on AI/ML hardware platforms like GPUs and TPUs. The engineer will be involved from concept to manufacturing, leading system and hardware design, validation, and productization. | — | 5 |
| Senior Silicon Architect This role is for a Senior Silicon Architect at Google DeepMind, focusing on defining chip IP architectures, memory hierarchy, and interconnect fabrics. While the role involves AI/ML accelerator architecture design as a qualification, the primary responsibilities are centered around silicon architecture and system-level optimization, not the direct development or deployment of AI models or agents. | — | 5 |
| Silicon Design Verification Engineer, Google Cloud This role focuses on the verification of custom silicon solutions for AI/ML hardware acceleration, specifically Tensor Processing Units (TPUs). The engineer will own the full verification life-cycle, build verification environments, and ensure the reliability of AI/ML workloads on TPU hardware, collaborating with design engineers to meet stringent performance and accuracy goals. | — | 5 |
| Technical Program Manager, Geo Data Operations This role is for a Technical Program Manager on the Google Geo team, focusing on data operations. The role involves executing programs, strategizing, planning, and prioritizing objectives. A key aspect is identifying and implementing technical and business programs and processes, leveraging AI/ML technologies where applicable to drive improvements. The role requires experience in program management and data management, with a strong technical and business acumen to solve data and operational problems using ML and AI. | — | 5 |
| Data and Measurement Account Manager This role is for a Data and Measurement Account Manager at Google, focusing on helping clients leverage Google's advertising and measurement solutions, including AI-powered tools, to maximize their marketing investments and drive business growth. The role involves managing client portfolios, advising on technical solutions for data collection and activation, and leading digital transformation projects. | — | 5 |
| Director, UX Research, Search Verticals Director of User Research for Google Search Verticals, leading research and content design teams to enhance user experiences, focusing on how generative AI redefines user mental models and drives AI-forward experiences. This role involves strategic partnership with product, design, and engineering leadership to shape the future of Search. | — | 5 |
| Go-to-Market Lead, AI Infrastructure, TPU/GPU, Financial Services, Google Cloud Go-to-Market Lead for AI Infrastructure (TPU/GPU) within the Financial Services industry for Google Cloud. This role focuses on driving business growth through partnerships and customer engagements, requiring collaboration with various internal teams and external C-suite executives. | — | 5 |
| Senior UX Survey Scientist, Trusted Tester, gUP UXR Senior UX Survey Scientist focused on user research for Generative AI products like Gemini, involving survey design, analysis, and driving insights for product development and launch decisions. The role emphasizes quantitative research methods and collaboration with cross-functional teams. | — | 5 |
| AI Sales Specialist, Google Cloud (English, Korean) Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating AI product functionality, and identifying AI use cases to solve business problems. The role involves developing go-to-market strategies and working with cross-functional teams to drive pipeline and business growth. | — | 5 |
| Program Manager II, Customer Experience Operations, Google Store Program Manager for Google Store Customer Experience Operations, focusing on integrating AI/ML into content production and operational workflows, managing customer feedback programs, and driving operational improvements. The role involves leading projects, analyzing data, and designing pilots for new technologies. | — | 5 |
| Product Specialist, Web Ecosystem Partnerships This role focuses on shaping the future of the open web in the age of AI by partnering with developers, web infrastructure providers, and third-party AI partners. The Product Specialist will optimize Chrome's platform for AI-first developer tools and next-generation user experiences, owning relationships with Product Managers, leading product validation, and designing go-to-market strategies. The goal is to drive adoption of AI capabilities and enable agentic experiences, paving the way for scaling these initiatives globally. | — | 5 |
| Cloud Data and AI Engineer, Professional Services This role focuses on guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud Platform. It involves providing architecture guidance, best practices, data migration, and troubleshooting for ML models and integrations. The engineer will also consult on optimal data and AI solution design and travel to customer sites for deployment and workshops. | ServeData | 5 |
| Software Engineer, Translation Mobile, XR Software Engineer role focused on building and launching first-party applications and experiences for AR glasses, specifically translation, media player, and phone call experiences. The role involves mobile development for Android/iOS paired with wearables and leveraging generative AI tools for development acceleration. The goal is to create delightful glasses experiences that amplify speech and sound, integrating AI and XR technologies. | — | 5 |
| Technical Program Manager III, Advanced Analytics, Google Data Center Technical Program Manager III role focused on Advanced Analytics for Google Data Centers. The role involves leading complex, multi-disciplinary projects, planning requirements, managing schedules, identifying risks, and communicating with stakeholders. Responsibilities include designing and implementing data warehouse infrastructure, data pipelines, predictive analytics, and machine learning models using GCP. The role also involves managing program deliverables and extracting business insights from datasets to maintain data center operations and efficiency. | Data | 5 |
| AI Sales Specialist III, Mid-Market Enterprise Google Cloud Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying AI use cases to drive business value. The role involves working with customers and internal teams to develop go-to-market strategies and close agreements. | — | 5 |
| Strategic Planning Manager, GenAI, DeepMind (Fixed-Term Contract) This role is a Strategic Planning Manager for GenAI within DeepMind, focusing on re-engineering operational processes like headcount and OpEx management into AI-driven workflows. The manager will develop automation tools, optimize resource allocation, and use agentic frameworks to automate transaction workflows and resolve common questions. While the role uses AI concepts and tools, it does not involve shipping AI models or agents as its core craft. | — | 5 |
| Senior Reward Lead, DeepMind This role focuses on reward programs and talent strategy within Google DeepMind, a pioneering AI lab. The Senior Reward Lead will act as a thought-leader and advisor to senior leadership, driving holistic reward solutions to attract and retain global AI talent. Responsibilities include leading high-stakes programs, forming strategic alliances, setting reward standards, and solving problems holistically. While the role is not directly building AI models, it is critical for supporting the organization that does, and it involves using AI tools to improve practices. | — | 5 |
| Quality Management System Specialist This role focuses on managing the Quality Management System (QMS) for digital health products at Google, ensuring compliance with global health regulations, particularly concerning AI in healthcare. The specialist will advise product teams, safeguard core platforms, and engage with health authorities to shape standards. While the role operates within the context of AI in healthcare and has preferred qualifications related to LLMs and AI-agent architectures, its core function is regulatory quality management and compliance, not direct AI/ML model development or deployment. | — | 5 |
| Medical Device Regulatory Specialist This role focuses on navigating the global health regulatory landscape for digital health products, particularly those involving AI. The specialist will advise product teams on regulatory strategy, ensure compliance, and engage with global health authorities and standards bodies. The role requires expertise in medical device regulations, software as a medical device (SaMD) frameworks, and monitoring legislative developments in AI and healthcare policy. While the company is involved in AI for healthcare, this specific role is centered on regulatory affairs and policy, not direct AI/ML model development or deployment. | — | 5 |
| AI Strategy and Operations Lead, Google Cloud This role focuses on developing and executing the AI Go-to-Market strategy for Google Cloud, working closely with product, sales, and operations teams. The lead will provide analytical insights to influence executive decisions, drive sales efficiency, and shape product direction based on customer feedback. | — | 5 |
| Product Strategy and Operations Principal, Emergent AI Infrastructure This role is a Product Strategy and Operations Principal for Emergent AI Infrastructure within Google's AI2 organization. The role focuses on developing business and product strategies, driving planning, and performing pricing and costing analysis for AI infrastructure. It involves working closely with product management, engineering, sales, marketing, and other cross-functional teams to support the delivery of compute infrastructure that accelerates AI innovation at Google scale. The role requires experience in management consulting, product management, or analytics within a technology company, with a focus on AI infrastructure, cloud, or B2B businesses. | — | 5 |
| Product Marketing Manager, Brand and Reputation Product Marketing Manager for Brand and Reputation in India, focusing on shaping Google's brand perception, particularly concerning AI. The role involves leading marketing strategy, developing partner-led storytelling, managing brand campaigns, utilizing data-driven insights, and collaborating with cross-functional teams. A key aspect is translating technical AI leadership into human-centric stories. | — | 5 |
| Model UX Writer, Devices and Services This role focuses on shaping product experiences through a user-centered lens, grounded in a technical understanding of Large Language Models (LLM). The Model UX Writer will define the AI persona, craft systems for seamless human-AI interactions, and translate user needs into intuitive, AI-driven solutions. Success requires collaboration with researchers, product managers, and engineers to ship successful AI products, particularly within Google Health, focusing on conversational AI for voice and text-based interfaces. | — | 5 |
| AI Sales Specialist Manager, Google Cloud (English, Mandarin) This role is for an AI Sales Specialist Manager at Google Cloud, responsible for leading a team to grow the AI business by building customer relationships and driving sales. The role involves working cross-functionally with internal teams and partners to identify AI use cases, articulate solution differentiators, and manage business pipelines to accelerate growth. The ideal candidate has extensive experience in enterprise software/cloud/AI sales, team leadership, and promoting cloud-based IT solutions, with fluency in English and Mandarin. | — | 5 |
| Engineering Manager, Spanner Search This role is for an Engineering Manager at Google Cloud, specifically for the Spanner Search team. The team owns the architecture and scale of full-text, vector, and hybrid search capabilities within the Spanner engine. The manager will drive the technical roadmap, engage with customers, manage and mentor a team of software engineers, and collaborate with various partner teams. The role requires experience in software development, building infrastructure, distributed systems, core database internals, people management, and experience with vector search, full-text search, or query processing. Preferred qualifications include experience with large-scale search systems, information retrieval pipelines, vector databases, and database engine internals. | — | 5 |
| Technical Program Manager, Network Capacity Planning This role focuses on network capacity planning for Google Cloud, utilizing machine learning and AI-driven methodologies to improve forecasting, automate anomaly detection, and simulate capacity scenarios. The Technical Program Manager will ensure network capacity is delivered efficiently and on time to support products and customers, balancing resource efficiency with high availability. | — | 5 |
| Clinical Research Operations Program Manager This role manages the full lifecycle of cross-functional programs at the intersection of advanced AI, consumer technology, and clinical research. The program manager will coordinate between teams to support pioneering studies, navigate ambiguity, and drive project milestones through software and clinical development lifecycles. They will also utilize AI/ML technologies to identify efficiencies and drive continuous improvements across programs, with a focus on applying AI to improve health outcomes. | — | 5 |
| Senior Staff Software Engineer, Unified Traffic Engineering, Infrastructure Senior Staff Software Engineer role focused on Unified Traffic Engineering for Google's global networks, ensuring optimized routing and load balancing for Google and GCP services. The role involves designing, developing, and maintaining large-scale software solutions, with a minimum qualification of integrating generative AI tools or LLM interfaces into workflows. | — | 5 |
| Staff Software Engineer, Google Cloud Storage, AI/ML Staff Software Engineer on the Google Cloud Storage AI/ML Solutions team, focusing on building storage solutions for AI/ML workloads, from training to inference. The role involves designing, implementing, and optimizing high-complexity features for scalable and performant storage systems that cater to the specific demands of AI/ML. | Serve | 5 |
| Senior Product Quantitative Researcher, Cloud Security This role focuses on quantitative product research within Google Cloud Security. The researcher will analyze user behavior using logs, surveys, and regression, collaborate with Product and Engineering, and build data sets and insights to inform business decisions. Experience with data engineering, data science, statistical methods, and programming languages like Python/R and SQL is required. Machine learning experience is preferred. | — | 5 |