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 |
|---|---|---|
| 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 |
| Senior Software Engineer, Android, Chrome Identity Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. Role involves technical leadership, feature development for billions of users, and collaboration with UX/Product Managers. Requires experience with software development, mobile OS, and LLMs/NLP/Generative AI, with an emphasis on utilizing AI tools for development. | — | 5 |
| Senior Software Engineer, Vertex 1P GenAI SRE This role focuses on ensuring the reliability, scalability, and performance of Google's Vertex AI Generative AI platform, which serves both internal teams and Google Cloud customers. The Senior Software Engineer will be responsible for improving system architecture, resolving outages, and driving production excellence using SRE principles. | Serve | 5 |
| Staff Software Engineer, Enterprise Product Strategy and Architecture Staff Software Engineer focused on defining and scaling enterprise-wide architectural standards, reference models, and patterns for data platforms and AI/ML capabilities within Google's Corporate Engineering. The role involves technical design consultations, architecture reviews, supporting the Enterprise Architecture Board, leading technical forums, and establishing reusable patterns for data ingestion, pipeline orchestration, model deployment, and generative AI integrations. The goal is to ensure alignment with long-term data scalability and enterprise AI safety, reduce redundancy, and accelerate delivery. | ServeData | 5 |
| Product Strategy and Operations Lead, Emergent AI infrastructure This role is a Product Strategy and Operations Lead for Emergent AI Infrastructure within Google's AI2 organization. The individual will focus on developing business and product strategies, driving strategic projects, and performing market, pricing, and costing analysis to support AI infrastructure development for Google Cloud Platform (GCP). The role requires experience in management consulting, product management, strategy, or analytics, with a background in AI infrastructure, Cloud, or Enterprise/B2B businesses. | — | 5 |
| Product Manager II, Ads Data Management Product Manager for Google Ads Data Management team, focusing on 0 to 1 products for advertisers to manage and activate their first-party data. The role involves defining product strategy, leveraging ML/modeling for measurement accuracy in a data-constrained environment, and navigating privacy-preserving techniques and regulatory changes. Requires experience in ad tech and taking technical products from conception to launch. | Ship | 5 |
| Technical Program Manager III, Gemini, Google Home Technical Program Manager III for Gemini, Google Home, focusing on foundational intelligence capabilities for Gemini-powered experiences. The role involves managing the full product lifecycle, driving software engineering schedules, and working with cross-functional teams. The TPM will also leverage AI tools to streamline program management processes. | — | 5 |
| Quality Management System and Evidence Control Specialist This role focuses on managing the Quality Management System (QMS) and evidence control for digital health products, ensuring compliance with global regulatory requirements, particularly for AI in healthcare. The specialist will collaborate with engineering and product teams to translate technical workflows into compliance evidence and prepare for regulatory inspections and audits. While the role operates within the context of AI in healthcare, the core responsibilities are in quality management and regulatory compliance, not direct AI/ML model development or research. | — | 5 |
| Staff Software Engineer, App Ads Privacy Staff Software Engineer on the App Ads Privacy Team at Google, focusing on building next-generation identity resolution and attribution systems. The role involves designing privacy-focused infrastructure to maintain accurate measurement and app performance amidst industry shifts and global regulations, ensuring a balance between user trust and data utility for advertisers. | — | 5 |
| Content Strategist, gUp (Fixed-Term Contract) This role is for a Content Strategist focused on designing and managing help and support content for Google products. While the role involves using and providing feedback on AI-enabled content creation tools and staying updated on best practices for AI consumption of information, the core craft is not AI/ML model development or deployment. The primary output is content strategy and user support documentation. | — | 5 |
| Software Engineer Manager, Foundational HTTP Serving Platform Manage a team of software engineers focused on Google's foundational HTTP serving platform, a critical piece of infrastructure. The role involves technical leadership, roadmap definition, and driving AI-assisted engineering practices within the team to improve development, testing, and operational support. | — | 5 |
| Senior Software Engineer, Discover Ads User Value Senior Software Engineer role focused on the user value of Discover Ads, involving engineering, data analysis, and product thinking to optimize ad auctions, inventory, and pricing. The role aims to improve advertiser, user, and Google values by leveraging product intuition, data insights, and research discoveries. It requires experience in software development, testing, and architecture, with a preference for experience in building and deploying recommendation systems. | ShipAgent | 5 |
| Hardware System Architect, Pixel Watch This role focuses on architecting hardware systems for wearable products, specifically the Pixel Watch, to enable ambient and edge computing applications. The architect will define system design, ensure subsystems meet performance, power, and cost goals, and analyze data processing paths. Collaboration with internal teams, silicon vendors, and technology partners is key. The role involves defining system and component specifications, evaluating trade-offs, selecting chipsets, overseeing integration, and investigating emerging technologies. Experience with machine learning models and AI accelerators is preferred. | — | 5 |
| Research Data Scientist, YouTube Gaming Discovery Data Scientist role on YouTube Gaming Discovery team, focusing on helping gamers find content. Involves collaborating with stakeholders, designing and evaluating models, gathering data, and using tools like SQL and Python. Requires a Master's degree in a quantitative field and 3 years of experience in analytics, coding, and database querying. Preferred qualifications include experience with machine learning and recommender systems. | Ship | 5 |
| Program Manager, Social Media Strategy, DeepMind Program Manager for executive social media strategy at DeepMind, focusing on amplifying AI and scientific discovery thought leadership. This role involves developing and executing social media plans, translating complex technical information into engaging narratives, and coordinating with various internal teams and external producers. The goal is to grow the digital presence and impact of executive leaders in the AI space. | — | 5 |
| Product Counsel, AI Regulatory, DeepMind Product Counsel for AI Regulatory at DeepMind, advising on legal and policy for AI development and deployment, collaborating with cross-functional teams, and using AI tools to enhance work. Requires JD and experience in AI and related legal fields. | — | 5 |
| Strategic Partner Program Manager, Gemini API and AI Studio, DeepMind This role is a Strategic Partner Program Manager for the Gemini API and AI Studio team at Google DeepMind. The role focuses on driving internal processes, headcount planning, and organizational rhythm to ensure velocity and operational excellence. It involves managing operational systems, representing leadership in forums, tracking key indicators like developer adoption and API performance, and leading operational execution for major industry milestones. The role requires significant experience in strategy, operations, and scaling within a technology company, with a preference for experience in AI/ML platforms. | — | 5 |
| Lead Product Manager, Google Home User Data Product Manager for Google Home User Data, focusing on controls, permissions, disclosures, consents, data takeout, and data donation for AI-first/Gemini-based features and agentic product offerings. This role involves driving strategy for data acquisition and serving as a point of contact for regulatory and user data related changes. | Agent | 5 |
| Senior Silicon Validation Engineer, Volume Production and Yield This role focuses on silicon validation for high-volume production and yield optimization. While it leverages AI/ML tools for data analytics and yield improvement, the core function is hardware engineering and manufacturing, not the direct development or research of AI models themselves. The role involves transitioning silicon designs into manufacturing, monitoring yield, performing failure analysis, and collaborating with cross-functional teams to ensure product quality and efficiency. | — | 5 |
| Eye Tracking Systems Staff Software Engineer Staff Software Engineer for Google's XR Perception team, focusing on eye tracking systems for AR/VR. The role involves technical leadership, algorithm design, and software development for compute-constrained Android devices, with an emphasis on integrating generative AI and LLM interfaces into workflows. | Serve | 5 |
| Staff Embedded Software Engineer, Audio/Firmware Staff Embedded Software Engineer for Google's Android microXR project, focusing on audio firmware for AR smart glasses. The role involves developing and optimizing audio systems, integrating with ML teams, and supporting AI-driven use cases within an embedded, real-time context. | Serve | 5 |
| Software Engineer, Parallel File Systems, AI/ML Storage Software Engineer role focused on building and optimizing distributed file systems for AI/ML workloads, specifically generative AI and real-time inference, aiming for extremely high throughput (10TB/s). The role involves developing APIs, designing distributed systems, implementing data protection, performance improvements, and cost optimizations for large-scale storage infrastructure. | — | 5 |
| ASIC Physical Design Tools, Flows, Methodologies Manager Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the team in developing, deploying, and supporting an RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration. | — | 5 |
| AI Advocate, Cloud AI, Greater China (English, Mandarin) This role is an AI Advocate for Google Cloud AI in Greater China, focusing on promoting Google AI technologies to developers. Responsibilities include writing sample code, participating in developer forums, troubleshooting, providing feedback to product teams, and driving strategy for developer communities. The role requires strong technical skills in programming languages with a focus on ML/Gen AI applications, and excellent communication in Mandarin and English. | — | 5 |
| Senior Software Engineer, Information Security Engineering Senior Software Engineer role focused on information security, involving the development of tools for product security consulting, response, and research, with a specific emphasis on AI agents. The role requires designing and implementing Go and Python AI agents, building new features on internal systems, and contributing to technical roadmaps. Experience with AI is preferred. | Agent | 5 |
| Senior Software Engineer, TV Systems Performance Senior Software Engineer focused on performance tuning for TV systems and device ecosystems, optimizing Reference Designs, and partnering with vendors and cross-functional teams. The role involves evolving Gemini-assisted tools for performance analysis and leading evaluations for industry shifts. Requires experience in software development, Android application development, and large-scale systems data analysis. | — | 5 |
| Engineering Manager, Operations Intelligence, gUP Engineering Google is seeking an Engineering Manager for their new Operations Intelligence team. This role will build and lead a team focused on automating the content lifecycle using data and automation, including ML/NLP. The manager will define technical strategy, oversee development, and partner with various stakeholders to deliver impactful solutions. The role requires strong software development, technical leadership, and people management experience, with a preference for experience in large-scale data processing and Generative AI. | Ship | 5 |
| Staff Software Engineer, Flume ML This role is for a Staff Software Engineer on the Flume ML team at Google Cloud, focusing on managing and evolving planet-scale data processing infrastructure that powers foundational ML features and next-generation AI initiatives. The primary objective is to advance scheduleability and auto-tuning capabilities for massive-scale ML pipelines and data workloads, bridging complex infrastructure with cutting-edge products. The role involves technical leadership, influencing and coaching engineers, managing projects, and designing/developing large-scale software solutions. | Data | 5 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| Staff Software Engineer, Modelling Infrastructure Staff Software Engineer to drive design, development, and operational excellence of network and machine modeling infrastructure. This role requires back-end distributed systems expertise and will work closely with partner teams to understand needs and align road-maps for the modeling infrastructure supporting the networking and AI/ML landscape. The AI and Infrastructure team empowers customers with breakthrough capabilities by delivering AI and Infrastructure at scale. | — | 5 |
| Senior Staff Software Engineer, Future of Git Senior Staff Software Engineer role focused on re-architecting Google's Software Development Life Cycle (SDLC) through the Future of Git (FoG) initiative. The role involves transitioning from legacy proprietary systems to industry-standard platforms, creating an AI-first SDLC architecture with agentic orchestration, spec-driven development, and context-aware intelligence. Responsibilities include technical leadership for bridging internal scale with external ecosystems, navigating cloud security governance, and ensuring a compliant-by-default developer experience. The role also involves architectural evolution of Git-based workflows, integrating internal development with external platforms, and migrating legacy tools. | Agent | 5 |
| Regulatory Counsel, Content, Consumer Protection and AI Legal counsel role focused on AI law, consumer protection, and content regulation, involving interpretation of laws, regulatory engagement, and advising product teams on compliance and risk mitigation. | — | 5 |
| Product Data Scientist, FOP Optimization Product Data Scientist for FOP Optimization at Google, shaping Payments products and solutions by leveraging machine learning and AI for transaction processing and optimizing user journeys across platforms like Play and YouTube. Focuses on data-driven decision making, success metrics, insights, and global launches within the payments routing infrastructure. | Ship | 5 |
| Software Engineer Manager, Full Stack, Global Partnerships Studio Google is seeking a Software Engineer Manager for the Global Partnerships Studio in Hyderabad. This role involves leading a team of engineers to build and maintain tools that automate pipeline and partner management workflows, with a growing focus on AI. The manager will set team priorities, develop technical roadmaps, guide system designs, and contribute to product strategy, while also managing engineers across multiple teams and locations. | — | 5 |
| Senior Software Engineer, Infrastructure, High Performance Networking Senior Software Engineer on the High Performance Networking (HPN) team, focusing on end-to-end RDMA stack ownership. The role involves enhancing network performance for HPC and ML workloads, optimizing RDMA capabilities with next-generation Smart NICs, and performing full-stack optimizations across Google Cloud infrastructure. Responsibilities include writing and testing code, participating in design reviews, code reviews, documentation, and debugging system issues. | — | 5 |
| Trust and Safety Analyst, User Feedback This role involves analyzing user feedback to improve policy enforcement on Google Ads, leveraging data analytics and potentially LLMs to identify opportunities and build solutions. The analyst will own technical implementation of pipelines, drive project delivery, and enhance operational workflows through process improvements and automation. | Data | 5 |
| Product Strategy and Operations Lead, AI and Infrastructure This role is a Product Strategy and Operations Lead within Google's AI and Infrastructure (AI2) organization. The role focuses on driving strategy, operations, and communications to help AI products and infrastructure scale and execute optimally. It involves identifying and solving organizational problems, influencing stakeholders, and establishing operating processes. While the organization powers AI products and research, this specific role is focused on the business and operational aspects rather than direct AI/ML development. | — | 5 |
| Technical Program Manager III, Machine Learning, Search Technical Program Manager III, Machine Learning, Search at Google. This role involves leading complex, multi-disciplinary engineering projects related to Machine Learning within the Google Search team. Responsibilities include planning requirements, managing schedules, identifying risks, and communicating with cross-functional partners. The role requires understanding ML technologies and their applications, and experience with consumer-facing products and high-quality product delivery. | — | 5 |
