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 |
|---|---|---|
| Staff Technical Lead Health Features, Backend, Data Infrastructure Staff Technical Lead for Health Features, Backend, and Data Infrastructure at Google. This role involves leading a team of software engineers, defining technical strategy for data ingestion and health features, and ensuring system reliability, security, and compliance (including HIPAA). The role emphasizes leveraging AI to improve development velocity and code quality, and bringing AI-driven health experiences to users. | Data | 5 |
| Senior Research Data Scientist Data Scientist role focused on advertising product creation, development, and improvement, using scientific and statistical methods, including machine learning and causal inference, to analyze user behavior and ecosystem dynamics. The role involves collaborating with engineers, analysts, and product managers to translate scientific insights into deployed products at scale, with a focus on ad-measurement, effectiveness, and incrementality. | — |
| 5 |
| Software Engineer III, Application Developer, XR Google is seeking a Software Engineer III to develop next-generation wearable technology for their XR team. This role focuses on building flagship communication apps for glasses, leveraging integrated AI assistance for features like audio/video calls, translation, and navigation within an innovative wearable ecosystem. The engineer will write product or system development code, review code, contribute to documentation, triage and debug issues, and participate in design reviews. | — | 5 |
| Software Engineer, Fuchsia Performance Software Engineer focused on performance optimization for the Fuchsia OS, leveraging AI-driven analysis and developing performance tools. Requires experience in C++, Python, SQL, and operating system internals. | — | 5 |
| AI Sales Specialist, Startups, Google Cloud AI Sales Specialist for Google Cloud, focusing on growing AI business with startups by building relationships, demonstrating product functionality, and identifying use cases. The role involves working with customers to deliver business value and build new products leveraging Google's AI solutions, including Gemini models and the Vertex AI platform. | — | 5 |
| Senior User Experience Researcher, Google Pay This role is for a Senior User Experience Researcher on the Google Pay team, focusing on shaping the product experience for SMB businesses. The role involves developing research roadmaps, leading research activities in a fast-paced environment, and applying mixed-methods research to influence product strategy. While the role is in the fintech domain and explores GenAI applications, the core function is UX research, not direct AI/ML model development. | — | 5 |
| Software Engineer III, Android, Chrome OS Software Engineer III on the User Assist team for Chrome OS and Android tablets, focusing on intelligent assistance, automation, and personalized support. The role involves building UI experiences, integrating with Gemini, and working on future AI integrations and productivity features. Responsibilities include engineering solutions, design, implementation, launch management, and code quality across Android framework, first-party apps, and server-side changes. | — | 5 |
| Software Engineer III, Mobile (Android), XR Google is seeking a Software Engineer III for their XR team to design, develop, and launch user-facing AI-driven experiences for Android XR devices. This role involves collaborating with cross-functional teams to bring features from concept to a shipping product, focusing on the convergence of AI and XR to augment human intelligence. | — | 5 |
| AI Sales Specialist, Media and Entertainment, Google Cloud AI Sales Specialist for Google Cloud's Media and Entertainment sector, focusing on building customer relationships, demonstrating AI product value, and driving business growth. The role involves identifying AI use cases, collaborating with product and engineering teams, and developing go-to-market strategies. | — | 5 |
| Staff Software Engineer, ML Fleet Systems Staff Software Engineer role focused on building and providing technical leadership for ML Fleet Systems, which involves general software engineering tasks like coding, testing, deploying services, and operational support for AI and Infrastructure teams at Google. The role contributes to the development of AI models and computing power at scale. | Serve | 5 |
| Field Sales Representative, AI/ML, Public Sector Field Sales Representative for Google Cloud's AI/ML offerings, focusing on the UK Public Sector. This role involves translating AI research into deployable solutions, architecting AI roadmaps for government accounts, conducting technical deep-dives, leading cross-functional teams for partnership frameworks, and ensuring AI solutions adhere to national policies and data governance standards. Requires extensive experience in enterprise B2B software sales to government clients and familiarity with AI/ML concepts and regulatory landscapes. | — | 5 |
| Staff Engineering Manager, Search Real World Journeys This role is for an Engineering Manager at Google Search, focusing on the Real World Journeys (RWJ) Infrastructure team. The team builds the platform that scales AI-forward search experiences in verticals like travel, local, and finance, supporting generative AI surfaces. The manager will lead teams, define technical roadmaps, and oversee the deployment of large-scale projects, ensuring low latency and high reliability for billions of users. | — | 5 |
| Staff Software Engineer, Vertex AI, Workbench Staff Software Engineer role focused on building foundational infrastructure for Gen AI agents within Vertex AI Notebooks on Google Cloud Platform. The role involves technical leadership, driving product initiatives, and designing developer tools, with a strong emphasis on backend infrastructure and distributed systems. | Agent | 5 |
| Software Engineer III, YouTube Ads, Traffic Prediction Software Engineer III at Google YouTube Ads focused on designing and implementing prediction models for YouTube creator bundles, contributing to traffic prediction within the advertising platform. Requires experience in software development, full-stack development, and data structures/algorithms. | Data | 5 |
| Vendor Strategy and AI Transformation Lead, GCP Support This role focuses on leading the strategy and transformation of Google Cloud Support's vendor operations, aiming to scale effectively and flexibly. It involves managing a global ecosystem of vendor partners, driving performance, and ensuring quality of service, with an emphasis on leveraging AI tools to optimize workflows and enhance deliverables. | — | 5 |
| Technical Program Manager, Science Automation, DeepMind Google DeepMind is seeking a Technical Program Manager to lead complex programs in Science Automation, focusing on lab automation in material science and life sciences. The role involves driving end-to-end planning and delivery, translating research into impact, and collaborating with multi-disciplinary teams and external partners. The position requires a strong technical background with an understanding of AI in the context of lab automation and research, and experience in program management. | — | 5 |
| RTL Design Engineer, Google Cloud, Silicon The role involves designing and implementing ASICs to accelerate machine learning computation in data centers, specifically for Google's AI platform (Vertex AI) and TPUs. The engineer will focus on microarchitecture, implementation, and collaboration with various hardware and software teams to deliver high-performance, efficient, and reliable silicon solutions. | Serve | 5 |
| 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 |
| Clinical Specialist, Evaluation and Safety This role focuses on the clinical evaluation and safety of AI-powered health and wellness products, ensuring scientific accuracy and measurable health benefits. The Clinical Specialist will guide research and product development, lead evaluation requests, design analytical methods for health outcomes, and serve as the primary clinical point of contact for internal teams. The role requires a strong clinical background, experience with AI in healthcare, and the ability to translate safety insights into product requirements. | — | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
