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 544 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Global Product Lead, Global Business Applied AI This role is for a Global Product Lead within the Global Business Applied AI (GBAI) organization at Google. The primary focus is on shaping the roadmap and driving the launch of AI-powered solutions for the Connect Sales CRM platform. The role involves representing user needs, prioritizing features based on business cases, documenting requirements, and measuring the business impact of new features. While the role works with AI-powered solutions and analyzes datasets for ML approaches, the core craft is product management and go-to-market strategy for these solutions, rather than direct AI/ML model development. | — | 5 |
| Software Engineer III, Infrastructure, Google Web Server Software Engineer III, Infrastructure, Google Web Server (GWS) team responsible for the binary that serves Google Search results and acts as a gateway to AI features. The role focuses on ensuring reliability and faster velocity for new GWS versions, enabling users to experience Search features and improvements more quickly. This involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. |
| — |
| 5 |
| Software Engineer Manager, Google Global Infrastructure, NetSoft This role is for a Software Engineering Manager within Google's Global Infrastructure, NetSoft team. The primary focus is on managing engineers and providing technical leadership for projects related to network planning, modeling, simulations, and risk assessment. A key aspect of the role involves enabling AI/ML capabilities to accelerate cloud expansions and improve network operations at a global scale. The role requires experience in large-scale infrastructure, distributed systems, and technical leadership, with a focus on managing teams and driving product strategy. | — | 5 |
| Senior Software Engineer, Gemini Enterprise Mobile Senior Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application (iOS and Android) and its backend systems. The role involves designing mobile architecture, providing technical guidance, and leveraging AI to enhance performance, contributing to the full software development lifecycle. | — | 5 |
| Senior Staff Software Engineer, Serverless Senior Staff Software Engineer role focused on the serverless platform (Cloud Run) that supports AI workloads and agents. The role involves technical leadership, architectural strategy, and driving operational excellence for the platform's data plane, emphasizing its evolution to meet the needs of AI applications. | — | 5 |
| Developer Advocate, Cloud AI (English, Japanese) Drive strategy around fostering a community of developers who work with Google AI technologies. Advocate for developers' needs internally and represent their interests to internal stakeholders. Write sample code and client libraries, participate in developer forums, and troubleshoot coding problems. Improve products by conveying feedback from developers, reviewing API designs, and testing new features. | — | 5 |
| Product Manager II, UGC Creative Editorial Product Manager for User-Generated Content (UGC) Creative Editorial within Google Maps and Search, focusing on media contribution and consumption. The role involves defining product strategy, building UGC experiences, and collaborating with cross-functional teams, adapting to the evolving AI landscape and launching AI-powered experiences. | — | 5 |
| Growth Consultant, AppDev, Google Customer Solutions (English, Japanese) This role is a Growth Consultant for App Development within Google Customer Solutions, focusing on helping businesses optimize user acquisition strategies using Google Ads. The role involves data science/measurement consulting, client analysis, automation using GoogleSQL/Python, and collaboration with sales, product, and technical teams. The consultant will advise clients on marketing analytics best practices and scale measurement impact by upskilling sales managers. While understanding AI principles is preferred, the core function is sales and consulting, not direct AI/ML model development. | — | 5 |
| Software Engineer III, Embedded Systems, Hearables Audio software Software Engineer III on the Pixel Hearables Audio Software team, responsible for developing next-generation Google Pixel earbuds. This role involves productizing novel audio algorithms that combine signal processing, acoustics, and machine learning, working with early hardware prototypes to design and implement new features. The position requires contributions to audio system architecture, implementation and integration of audio software for hearable devices and phones, and developing infrastructure to support algorithmic development and scale engagement with research teams. Collaboration with product managers, UX, and hardware counterparts is essential. | Serve | 5 |
| Vendor Solutions Consultant, Marketing This role is a Vendor Solutions Consultant for Marketing within Google Cloud. The primary focus is on transforming outsourced marketing programs into highly automated, high-velocity engines by embedding an AI-first approach, designing governance frameworks, and reshaping vendor workflows. The role involves co-creating next-generation marketing workflows, scoping and embedding GenAI tools, and driving operational efficiency and scale. | — | 5 |
| Senior Technical Program Manager, Responsible AI Testing and Child Safety, Global Affairs This role is for a Senior Technical Program Manager focused on Responsible AI testing and Child Safety within Google's Global Affairs division. The TPM will manage the end-to-end lifecycle of GenAI safety initiatives, working with various teams like DeepMind, Trust and Safety, and Legal to prevent child sexual abuse and exploitation. The role involves defining metrics, driving cross-company alignments, and ensuring product safety for vulnerable users. While the role interacts heavily with AI systems and ML processes, the core function is program management and ensuring safety/quality gates, not direct AI model development or research. | — | 5 |
| Software Engineering Manager II, AlloyDB Query Processing Manage a team of software engineers to develop and optimize query processing capabilities for AlloyDB, a Postgres-compatible SQL execution environment. The role involves leading technical roadmaps, system design, and writing critical-path code for high-performance database internals, with a focus on leveraging embedded machine learning for automated data categorization and performance optimization. | — | 5 |
| Software Engineer III, Database Systems Software Engineer III, Database Systems role focused on building a data ecosystem for XR AI training, integrating real and synthetic data, GenAI data, and AI-driven annotation. The role involves designing and implementing data generation pipelines, integrating ML models into production, and supporting perception algorithms for AR and XR platforms. | Data | 5 |
| Senior Technical Program Manager, Google Cloud, GUSTO This role is for a Senior Technical Program Manager on the Google Cloud GUSTO team, focusing on security operations. The primary responsibility is to drive the transition of the data platform to BigQuery and manage its roadmap, ensuring product reliability and capacity at scale. The role involves leveraging AI for automation and process innovation, reinventing processes for efficiency, and managing cross-functional communication. Experience with Generative AI for automation and large data platform transformations is required. | — | 5 |
| Senior Software Engineer, Search Content Platform This role is for a Senior Software Engineer on the Search Content Platform team at Google. The primary focus is on organizing and integrating structured and unstructured data from various sources (web, feeds, images, video) into a standardized platform to power AI-forward, multimodal Search experiences. The role involves writing and testing code, participating in design reviews, debugging issues, and contributing to documentation. While the role leverages advanced AI and ML systems, its core function is data integration and platform engineering for search content. | Data | 5 |
| Regulatory and Litigation Counsel, AI Safety This role is for a Regulatory and Litigation Counsel focused on AI Safety at Google in London. The position involves leading responses to regulatory inquiries, investigations, and litigation related to AI, providing legal advice on government audits, and ensuring compliance with laws and regulations. While the role operates within the AI domain and interacts with AI safety issues, the core function is legal and regulatory, not AI/ML development. | — | 5 |
| UX Designer, Google TV UX Designer for Google TV, focusing on user experience for living room entertainment. This role involves crafting intuitive interfaces, collaborating with cross-functional teams, and leveraging AI-powered tools for prototyping and anticipating user intent. The designer will advocate for users, manage the design lifecycle, and contribute to the evolution of the Google TV design system, ensuring accessibility and innovation. | — | 5 |
| Software Engineering Manager, Merchant Shopping, Agency Growth Software Engineering Manager for Google's Merchant Shopping, Agency Growth team, focusing on building AI-forward experiences for agencies and leading the development of scalable backend and frontend infrastructure for insights and recommendations. The role involves strategic product direction, team leadership, and cross-functional collaboration to drive success for agencies and merchants. | Ship | 5 |
| Senior Technical Program Manager I, Generative AI, Google Cloud This role is for a Senior Technical Program Manager on the Generative AI team within Google Cloud's Drive product. The primary focus is on leveraging GenAI to revolutionize user interaction with content, manage cross-functional programs, and drive product strategy and execution. The role involves collaborating with model builders and impacting billions of users. | — | 5 |
| AI Sales Specialist, Digital Natives, Google Cloud (English, Portuguese) AI Sales Specialist role focused on growing AI business with Digital Natives customers on Google Cloud. Responsibilities include building customer relationships, identifying AI use cases, collaborating with internal teams, and driving sales strategies. Requires significant sales experience in enterprise software, cloud, or AI, with a focus on solving customer challenges using AI solutions. | — | 5 |
| Live Solutions Consultant This role focuses on driving growth through technical consulting and demonstrating complex concepts to stakeholders, with a focus on live streaming and broadcast technologies. It involves configuring encoders, mapping signal chains, performing network assessments, and developing automation solutions. While experience with Generative AI tools and emerging technologies like AI/VR/AR is mentioned, the core responsibilities are not AI/ML development. | — | 5 |
| AI Adoption Customer Engineer, Google Cloud (English, Korean) Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, acting as a trusted advisor and technical leader for customers. Responsibilities include developing and executing AI deployment plans, identifying new AI use cases, and accelerating customer time-to-value through technical problem-solving and consultative delivery. | Agent | 5 |
| Product Manager, Google Maps, Views Experiences Product Manager for Google Maps Views Experiences, focusing on the future of visual user experiences like street view, satellite view, and immersive view. This role bridges Generative AI and advanced computer imaging with consumer design to build features for hundreds of millions of users. | — | 5 |
| Customer Engineer, Practice AI, Google Cloud Customer Engineer for Google Cloud's Practice AI team, focusing on integrating Generative AI into enterprise environments. This role involves architecting secure, data-connected solutions, understanding customer needs, and demonstrating the value of Google Cloud's AI portfolio. Responsibilities include driving technical wins for Gemini Enterprise, recommending integration strategies, providing technical consultation, and prototyping solutions. Requires experience with cloud-native architecture, search systems, AI model integration patterns like RAG, and coding in relevant languages. | Agent | 5 |
| Head of Strategic Positioning Narratives This role is responsible for crafting the strategic positioning and narratives for Google Ads, YouTube, and Google AI to target businesses and sellers. It involves translating technical product information into compelling stories, working with product and sales teams, and using generative AI tools for research and iteration. The goal is to shape market perception, earn trust from C-suite executives, and drive market share. | — | 5 |
| Product Strategy and Operations Principal, Cloud AI This role is a Principal Product Strategy and Operations role within Google Cloud AI, focusing on the transition to agentic ecosystems and generative AI. The individual will partner with VP leadership to translate AI infrastructure needs into business road maps and go-to-market strategies, manage strategic analysis for AI strategy, and design platforms that codify domain knowledge into agent systems. While the role involves strategy and operations for AI products, the core craft is not building AI models or systems directly, but rather enabling their commercialization and strategic direction. | — | 5 |
| Global Product Lead, Global Business Applied AI Product Lead for AI-powered solutions within Google's Global Business Organization, focusing on enhancing customer and partner value through intuitive and connected tools. This role involves managing workstreams, collaborating with cross-functional teams (Product Management, Engineering, Sales, GTM), and driving product roadmaps, launch strategies, and adoption. | — | 5 |
| Director, UX, Integrated Assistant, DeepMind Director of UX for Gemini's native system-level and browser presence, leading mobile and platform integrations, and designing AI-native system interactions. This role focuses on the user experience of AI-driven features within Google products. | — | 5 |
| Global Solutions Manager, Data, Google Cloud This role focuses on defining and driving the strategy and execution of Google Cloud solutions, particularly within the Data pillar, to accelerate customer adoption and enable sales. It involves analyzing customer needs, identifying industry trends, and ensuring the technical and commercial readiness of new cloud solutions. While the role leverages AI/ML technologies and generative AI, its primary function is product management and go-to-market strategy for cloud data solutions, rather than direct AI/ML model development or research. | — | 5 |
| Data Engineer II Google's gTech Product and Tools Operations team is seeking a Data Engineer II to design, develop, and support data pipelines, warehouses, and reporting systems. This role involves leveraging AI to integrate data into full-stack software solutions, creating robust ETL pipelines, and partnering with stakeholders and data scientists to scale ML models into production. The position requires experience in data pipeline design, dimensional data modeling, and working with data models through exploratory queries. | Data | 5 |
| Global Product Lead, Global Business Applied AI This role is for a Global Product Lead within Google's Global Business Applied AI (GBAI) organization, focusing on the go-to-market strategy and execution for AI-powered solutions that enhance customer and partner value. The role involves working cross-functionally with Sales, GTM, Finance, Product Management, UX, and Engineering to shape the roadmap of core CRM tools, analyze large datasets using ML approaches, and measure the business impact of product launches. While the role utilizes AI and ML approaches, it is primarily focused on product management and go-to-market strategy rather than core AI/ML development. | — | 5 |
| Principal Engineering Analyst, RAI Testing This role focuses on building and operationalizing scalable, automated AI testing frameworks and evaluation systems within Google's Trust & Safety Responsible AI Testing team. The goal is to empower product teams with self-service infrastructure for standard safety evaluations, while the role itself handles high-risk, bespoke evaluations for novel AI paradigms. It involves leveraging SQL and Python to embed these systems into developer pipelines and partnering with cross-functional stakeholders. | Eval Gate | 5 |
| Senior Research Data Scientist, Merchant Shopping Data Science Senior Research Data Scientist role focused on building scalable data products for Google's Merchant Shopping organization, leveraging genAI tools and LLM-based evaluations to improve product quality and understand user behavior. The role requires strong analytical, coding, and data engineering skills, with a focus on delivering data-driven insights and product improvements. | Ship | 5 |
| Senior Software Engineer, Front End, Google Cloud Web3 This role is for a Senior Software Engineer on the Google Cloud Web3 team. The engineer will contribute to building a security product, shaping a platform for the Web3 ecosystem, and pioneering AI agents and payments. The role requires experience in software development, front-end development, testing, and familiarity with Google Cloud technologies, GenAI, AI Agents, and blockchain technologies. | — | 5 |
| Software Engineer, Cloud CISO Security Engineering Software Engineer role focused on Cloud CISO Security Engineering, ensuring secure software and systems. Responsibilities include writing product/system code, design reviews, code reviews, documentation, and debugging. Requires experience with data privacy/security and generative AI/agents. | Agent | 5 |
| Interaction Designer, Support Platform This role focuses on designing user experiences for AI-powered support platforms, enabling customers to self-serve and resolve issues using AI, machine learning, and agentic technologies. The goal is to create an "Agentic-First" future with intelligent, proactive AI experiences that automatically troubleshoot problems and optimize campaigns, while also generating training data to improve agent intelligence. | — | 5 |
| Software Engineer, Embedded Systems Security, Silicon This role focuses on developing low-level system software for Google's Tensor SoC and Pixel devices, with a strong emphasis on security and performance for mobile and Generative AI applications. The engineer will work on the hardware-software interface, optimizing system stability, performance, and power efficiency. While the role supports AI applications, the core craft is embedded systems security and development, not direct AI/ML model building. | — | 5 |
| Software Engineer, Silicon Systems Software Software Engineer role focused on low-level system code for Google's Tensor SoC and Pixel devices, bridging hardware architecture and system software to optimize performance, power, and stability for mobile and Generative AI applications. Responsibilities include C/C++/Rust development, performance analysis, and hardware/software co-design. | — | 5 |
| Finance AI Governance Program Manager Program Manager for Finance AI Governance at Google, focusing on designing and implementing AI governance and control frameworks to ensure compliance with regulations like SOX and the EU AI Act. The role involves cross-functional collaboration with Finance, Finance Engineering, and Data Governance teams to manage AI risks, promote responsible innovation, and facilitate safe AI adoption within Finance. | — | 5 |
| UX Program Manager, AI Foundations and PSS, Core This role is for a UX Program Manager within Google's AI Foundations and PSS organizations. The primary focus is on managing UX programs, improving design processes, and ensuring user-centered development in collaboration with Engineering and Product Management. The role involves planning, risk assessment, data analysis, and driving the delivery of core product features, with a strong emphasis on operational excellence and adapting to the evolving AI landscape. While the role operates within AI-focused organizations and uses generative AI tools, the core responsibilities are in program management and operational frameworks, not direct AI/ML model development or research. | — | 5 |
| Technical Program Manager III, Product Operation, Platforms and Devices This role is for a Technical Program Manager III within Google's Platforms and Devices division, focusing on Product Operations. The TPM will bridge AI strategic goals with hardware development and supply chain execution, driving cross-organizational programs and integrating AI-driven workflows to enhance efficiency and scale. The role involves managing complex, ambiguous cross-functional challenges, translating program goals into actionable roadmaps, and identifying improvements in the end-to-end supply chain using AI-assisted workflows. The TPM will also mentor junior program managers and foster a culture of AI-First problem-solving. | — | 5 |
| Software Engineer III, Audio Processing Software Engineer III on the audio team in Open Media, developing next-generation speech and audio processing tools based on AI and modern computation. Role involves designing, researching, and implementing open-source audio processing tools (compression, spatial audio rendering) for Google products and external partners. Requires experience in audio signal processing and machine learning. | Data | 5 |
| Technical Program Manager, Platforms and Devices, Health Technical Program Manager for Google's Health Platforms and Devices team, focusing on building innovative products and services that leverage AI to help users manage their health and wellness data, gain insights, and take action. The role involves end-to-end project management, cross-functional collaboration, and communication with stakeholders. | — | 5 |
| Software Engineer III, AI Infrastructure Software Engineer III, AI Infrastructure at Google Cloud, focusing on building and scaling AI infrastructure. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires experience in software development, large-scale infrastructure, distributed systems, and Machine Learning or Artificial Intelligence. | Serve | 5 |
| Associate, Business Operations and Strategy This role is part of Google's central Business Operations and Strategy team, acting as an internal consulting group. The team tackles complex business challenges, including shaping go-to-market strategies for generative AI, defining AI-native enterprise strategies, developing monetization strategies, and exploring new ideas. The role involves problem definition, analysis, executive communication, influencing strategic decisions, and cross-functional collaboration. | — | 5 |
| Associate Principal, Business Operations and Strategy This role is within Google's central Business Operations and Strategy team (BizOps), which functions as an internal consulting group. The team tackles strategic, operational, and organizational improvements across Google's product areas and functions. Responsibilities include shaping go-to-market strategies for generative AI, defining and executing strategies for an AI-native enterprise, developing monetization strategies, and exploring new business ideas. The role requires structuring ambiguous business issues, analyzing information, developing recommendations, building consensus, and influencing executive decision-making. The role also involves operationalizing recommendations with cross-functional teams and building relationships across Alphabet. | — | 5 |
| Software Engineer, Robin Core Experience on iOS, DeepMind Software Engineer on the Gemini app team, focusing on building and delivering features for the iOS application. This role involves close collaboration with cross-functional teams to translate user needs into app features, while adhering to development best practices and ensuring performance and user experience. | — | 5 |
| AI Practice Customer Engineer, Google Cloud (Korean, English) Customer Engineer for Google Cloud, focusing on AI solutions, partnering with sales to understand customer business challenges, architecting cross-pillar cloud solutions, and driving technical wins. Requires strong technical, communication, and organizational skills, with fluency in English and Korean. | — | 5 |
| Software Engineer III, Assured AI-Native Platform This role focuses on building the AI-Native Server Platform to enable an AI-assisted autonomous Software Development Life Cycle (SDLC), abstracting infrastructure complexity for developers and empowering them to build and launch servers from intent. | Agent | 5 |
| Senior Business Data Scientist, Media Lab Marketing Senior Business Data Scientist role focused on marketing analytics, media strategy, and optimization using advanced analytics, experimentation, and modeling. The role involves data collection, analysis, developing recommendations, and driving implementation for marketing initiatives, with a focus on marketing mix models (MMMs) and audience segmentation. | — | 5 |