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 |
|---|---|---|
| UX Designer, AI Developer Experience UX Designer focused on translating complex AI capabilities like foundational models and agentic workflows into intuitive interfaces for Google developers. The role involves creating user journeys, wireframes, mockups, and interactive prototypes for AI interactions such as chat interfaces and autonomous agents, collaborating with engineers, product managers, and researchers. | — | 5 |
| Senior Software Engineer, Sequence Storage Software Engineering The Sequence Storage team builds and operates an exabyte-scale managed storage solution designed for AI/ML research. This system is a critical storage platform for DeepMind and other research teams, enabling the ingestion, processing, querying, and analysis of massive datasets. It supports centralized, large-scale training efforts for Gemini models, accelerating AI innovation. | Data |
| Senior Engineering Analyst, AdSpam This role focuses on defending Google's ad products from fraud and abuse by evaluating publishers, analyzing events, and creating scalable methods to stop bad actors. It involves leading investigations, partnering with engineering to improve ad traffic infrastructure and defense systems using ML techniques, and driving projects to prevent abuse by closing product vulnerabilities. The role requires experience in data analysis, project management, and preferred experience with GenAI solutions, digital advertising, fraud management, and applying ML/AI in industry settings. | 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 |
| Business Data Scientist, Ads Marketing Analytics This role focuses on applying data science and machine learning to drive growth for Google Ads Marketing. The Data Scientist will perform deep data analytics, design and analyze experiments, and build scalable analysis pipelines to support global marketing programs. The role involves collaborating with cross-functional teams and communicating insights to stakeholders to inform strategic decisions. | — | 5 |
| Technical Program Manager, Spatial Flex, Program Management Office Technical Program Manager for Google's AI and Infrastructure team, focusing on leading complex engineering programs related to AI/ML infrastructure, compute, storage, and ML hardware/software resource efficiency. The role involves managing project schedules, identifying risks, and communicating with stakeholders, with a preference for candidates with experience in machine learning platforms and systems. | — | 5 |
| Research and Development Analyst, Trust and Safety Monetization This role focuses on building and improving defenses against fraud and abuse in Google's ad ecosystem, utilizing advanced machine learning techniques and data analysis to identify trends, mitigate risks, and collaborate with engineering teams to enhance infrastructure and workflows. The goal is to create scalable methods for preventing bad actors and fraudsters from causing harm, driving full lifecycle projects to close product vulnerabilities and improve policies. | Agent | 5 |
| Content Strategist, gTech Users and Products This role focuses on designing and managing content strategy for user help and support across various channels, including knowledge bases for customer care agents. It involves collaborating with stakeholders, optimizing content, and measuring effectiveness. The role also requires driving and moderating AI-enabled content creation tools, providing feedback to technical teams, and staying updated on best practices for AI consumption of information. | — | 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 |
| AI Adoption Customer Engineer, Google Cloud 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, resolving technical blockers, and identifying new AI use cases. Requires experience with cloud-native enterprise architecture, AI/GenAI solutions, multi-agent workflows, and RAG systems. | Agent | 5 |
| Frontier AI Strategy Principal, DeepMind This role is a Principal on the Frontier AI Strategy team at DeepMind, focusing on accelerating the path to impact for DeepMind Research. The role involves strategic, business, commercialization, and productization analysis across AI-native domains, translating insights into recommendations for DeepMind executives. It requires significant experience in business and product strategy, with a focus on Frontier AI. | — | 5 |
| Product Solutions and Operations Manager, Google Play Store This role focuses on managing and scaling solutions that leverage human insights and machine learning for the Google Play Store. The primary responsibility involves designing, running, and owning human computation tasks to produce reliable labeled data, which feeds into systems for app recommendations and training/evaluating ML models. The role also involves collaborating with product and engineering teams to launch new features, improve data quality, and explore LLM-first solutions. | DataPost-train | 5 |
| Engineering Manager, Health and Home, Infrastructure Engineering Manager for Health and Home, Infrastructure at Google, focusing on leading the design, implementation, and optimization of high-scale persistence layers and metadata engines. The role involves partnering with intelligence teams to architect storage solutions for AI features and enhancing metadata structures for seamless integration with LLMs. | — | 5 |
| Principal Analyst, Responsible AI Strategy This role focuses on driving strategy and alignment for Responsible AI risk areas, particularly concerning minor users. It involves analyzing product impacts, providing solutions, and collaborating with cross-functional teams like Product, Legal, UX, Operations, Research, and Engineering to ensure user trust and safety across Google products. The role requires strategic thinking, problem-solving, and communication skills, with a focus on identifying and mitigating AI-related risks. | — | 5 |
| Software Engineer III, Recommendation Quality, Google Play Software Engineer III at Google Play focused on recommendation quality and personalizing user experience through offer mechanics and spend incentives. The role involves developing product/system code, collaborating on design/code reviews, contributing to documentation, triaging issues, and implementing solutions in ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. Requires a Bachelor's degree, software development experience, and experience with speech/audio, reinforcement learning, ML infrastructure, or another ML specialization. | Ship | 5 |
| Staff UX Designer Staff UX Designer for Google's Vertex AI platform, focusing on visual design to create industry-leading user experiences for AI products, including agent suites and Gemini models. The role involves collaborating with cross-functional teams to define and shape the future of enterprise AI user experience. | — | 5 |
| Senior Principal Analyst, Responsible AI Strategy This role focuses on developing and implementing Responsible AI strategies, particularly for agentic AI products and models. It involves driving projects to address AI risks, partnering with engineering and product teams, and communicating strategies to senior leadership. The role requires experience in trust and safety, policy, or strategy, with a preference for those with ML education or experience. | Agent | 5 |
| Senior Software Engineer, Infrastructure, Google Store Senior Software Engineer role focused on the Google Store's omnichannel retail platform, leveraging AI for customer lifecycle management, site operations, and shopping assistance. The role involves developing and maintaining software for a global eCommerce platform, point-of-sale systems, and customer-facing applications, with an emphasis on building applied AI skills. | Ship | 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 |
| Software Engineer III, Speech Production, Infrastructure The Software Engineer III, Speech Production, Infrastructure role at Google focuses on building and maintaining the serving infrastructure for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) at scale. This involves writing product or system development code, delivering engineering milestones, profiling and optimizing serving infrastructure for high reliability and efficiency, and triaging production issues. The role requires experience with large-scale infrastructure, distributed systems, and programming languages like C++ and Python, with a preference for knowledge of speech and language technologies. | Serve | 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 |
| Data Measurement and Analytics Specialist (Portuguese, English) This role focuses on leveraging Google's advertising solutions to help businesses grow. The specialist will act as a hybrid generalist, bridging data architecture and statistical modeling to understand client business models, map data points, and implement statistical causal models to prove the ROI of Google Ads. The role involves orchestrating technical specialists and AI tools to ensure value delivery for clients, and working with large customer sales teams to drive business performance through Google's advertising solutions. | — | 5 |
| GECX Sales Specialist, Manager, Google Cloud Sales Specialist focused on growing the Gemini Enterprise for Customer Experience (GECX) business by building customer relationships and identifying AI use cases for Google Cloud AI products. This role involves working with sales teams, product teams, and customers to drive business value and adoption of AI solutions. | — | 5 |
| Software Engineer II, Cloud ML/AI Software Engineer II, Cloud ML/AI at Google in Warsaw, Poland. This role involves writing product or system development code, collaborating with peers, contributing to documentation, triaging issues, and applying foundational ML concepts to implement solutions in specialized ML areas. Requires a Bachelor's degree or equivalent experience, 1 year of software development experience, 1 year of data structures/algorithms experience, and 1 year of implementing core ML concepts. Preferred qualifications include experience with accessible technologies, enterprise AI needs (including AI safety, data residency, integration), and cloud infrastructure deployment. | Serve | 5 |
| Responsible AI Program Manager, Google Public Sector Program Manager to lead the day-to-day operations and review processes of Google Public Sector's responsible AI program, ensuring adherence to AI principles and policies. This role involves coordinating cross-functional teams, integrating AI practices into the sales pipeline, capturing governance artifacts, and preparing executive-level reports on compliance and risk. | — | 5 |
| Technical Program Manager III, ML Infrastructure Resource Management, Google Cloud Technical Program Manager III for ML Infrastructure Resource Management within Google Cloud. This role focuses on managing Google's global ML accelerator fleet, specifically the LLM Serving pool, and acting as a PARM partner for client groups. The core mission involves planning, deploying, and optimizing TPU and GPU capacity aligned with strategic priorities. The role requires collaborating with SWE and SRE teams, owning operational execution of capacity allocations, driving tool and process optimizations, and leveraging data analysis for efficiency. A technical or engineering background is critical, with a preference for experience in deploying large-scale ML models. | — | 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 |
| Product Support Manager, Pixel Differentiated Care This role focuses on leading the strategy and execution of AI-powered support experiences for Google's Pixel Ecosystem products. It involves leveraging generative AI automation, AI orchestration, and agent plans to create personalized and intelligent customer care models, aiming to improve user journeys and foster loyalty. The role bridges product engineering and customer support operations to deliver data-driven support. | Agent | 5 |
| Staff Software Engineer, Vertex AI, Workbench Staff Software Engineer role focused on building foundational infrastructure for Gen AI agents and enhancing Vertex AI Notebooks within Google Cloud's enterprise AI platform. The role involves technical leadership, driving product initiatives, and designing developer tools for Vertex AI and GCP. | AgentServe | 5 |
| Senior UX Content Designer, Search This role focuses on shaping the user experience of Google's generative AI-powered search environment by designing conversational response strategies and creating useful, meaningful text that helps users complete tasks. The Senior UX Content Designer will collaborate with various cross-functional teams, including researchers, product managers, and engineers, to establish a cohesive language and unified voice across products and platforms. | — | 5 |
| Federal Go-To-Market Lead, AI Infrastructure, Google Public Sector This role focuses on driving business growth for Google Public Sector's AI Infrastructure offerings, specifically TPUs and GPUs, through strategic partnerships and customer engagements with US Federal Government clients. The position requires extensive experience in enterprise technology sales, cloud/hybrid/hardware sales, and AI infrastructure sales within the federal sector, along with a strong understanding of AI technologies and Google Cloud's AI offerings. A Top Secret/SCI security clearance is a mandatory requirement. | — | 5 |
| AI Sales Specialist, 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 cross-functional teams to develop go-to-market strategies and close agreements. | — | 5 |
| Software Engineer II, Engineering Productivity Software Engineer II, Engineering Productivity at Google, focusing on developing and maintaining classifiers for trust policies in search products, supporting trust and safety teams, and integrating with various services. The role requires experience with software development, data structures, algorithms, building developer tools, and using AutoML for NLP tasks, with a preference for familiarity with data pipelines and LLM development. | Ship | 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 |
| AI Sales Specialist, Financial Services, Google Cloud AI Sales Specialist for Financial Services at Google Cloud, focusing on growing AI business by building customer relationships, demonstrating product functionality, and identifying AI solution use cases. The role involves working with customers to build new products leveraging Google's AI solutions and the Vertex AI platform, while adhering to a responsible AI framework. | — | 5 |
| Senior Director, UX, YouTube Emerging Experience and Community Senior Director of UX for YouTube's emerging creation and community experiences, including Shorts and YouTube Create. This role will lead the user experience for next-generation AI-powered creation tools and drive strategic vision for product excellence. | — | 5 |
| Senior AI Marketing Producer, Media AI Lab This role is for a Senior AI Marketing Producer within Google's Media AI Lab, focusing on accelerating AI solutions for marketing. The producer will manage creative operations for Search campaigns, translate marketing needs into production plans, and act as an early tester for new agentic workflows. The role involves collaborating with various teams to ensure creative deliverables meet guidelines and measuring the impact of production efforts. While the role utilizes AI tools and tests agentic workflows, its core function is marketing production and operations, not direct AI/ML model development. | — | 5 |
| Software Engineer II, ML Telemetry Software Engineer II, ML Telemetry at Google, London, UK. This role focuses on measuring and reporting the efficiency and adoption of the ML fleet, generating metrics to identify optimization opportunities, and providing data-driven feedback to ML job owners and planners. The role involves working with Core Machine Learning (ML) products and services, and influencing the ML Software/Hardware roadmap. | — | 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 |
| Senior Product Manager, Pixel New Product Introduction Senior Product Manager for Google Pixel, focusing on New Product Introduction (NPI) for AI-first devices. This role involves guiding products from conception to launch, bridging technical and business aspects, and collaborating with engineering, design, and marketing teams to shape the future of mobile devices and services by integrating AI, software, and hardware. | — | 5 |
| Technical Program Manager III, ML Strategy and Allocations, Cloud AI Technical Program Manager III for Google Cloud's AI Strategy and Allocations PMO. This role focuses on resource governance, capacity allocation, and strategic alignment for Google's large-scale ML fleet, ensuring critical AI products have the necessary compute resources. Responsibilities include architecting data reconciliation frameworks, auditing discrepancies, developing forecasting models, engineering automated dashboards for scenario modeling, and translating fleet capacity into actionable allocation plans. | — | 5 |
| Group Product Manager, Google Cloud Networking, ML Infrastructure Product Manager for Google Cloud Networking, focusing on AI/ML-ready infrastructure and data transfer. This role involves defining multi-year product goals, driving end-to-end development, understanding customer needs for AI/ML workflows, leading go-to-market strategies, and aligning cross-functional teams. Requires experience shipping technical products like cloud or networking infrastructure, with a specific understanding of AI/ML networking requirements for training and inference. | Serve | 5 |
| GECX Sales Specialist, Google Cloud Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building customer relationships, identifying AI use cases, and driving sales growth within the enterprise software, cloud, or AI space. | — | 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 |
| Product and Business Strategy Principal, Gemini App, DeepMind Product and Business Strategy Principal for Gemini App, focusing on strategy development, ecosystem analysis, competitive intelligence, and Go-To-Market execution. This role involves collaborating with cross-functional teams to refine products and infrastructure, drive high-impact priorities, and ensure effective organizational execution. The position requires a strong understanding of the Generative AI landscape and consumer applications. | — | 5 |
| Software Engineer III, Performance, AI and Infrastructure Software Engineer III role focused on performance and infrastructure for AI at Google. The role involves developing and enhancing software solutions, managing project priorities, and debugging system issues. It sits within the AI and Infrastructure team, which aims to deliver AI and Infrastructure at scale, supporting AI model development and providing platforms for developers. The role requires experience in C++ or Python and performance/large-scale systems analysis. | Serve | 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 |
| GECX AI Sales Specialist, Google Cloud Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building customer relationships, identifying AI use cases, and driving sales cycles for AI-powered customer experience solutions. | — | 5 |
| Senior Staff UX Designer, Google Payments, AI Transformation Senior Staff UX Designer for Google Payments, focusing on AI transformation. This role involves leading the exploration and design of AI-native user experiences, integrating AI into UX workflows, and advising executives on AI's impact. The designer will evaluate and deploy Generative AI tools for design processes and contribute to the next-generation UX ecosystem for payments products. | — | 5 |
| Staff Design Engineer, Digital Signal Processing This role focuses on designing and implementing Digital Signal Processing (DSP) algorithms for high-speed PHYs, specifically for AI/ML hardware acceleration on TPUs. The engineer will transform communication theory into silicon logic, develop bit-exact models, and minimize bit-width while maintaining SNR. While the role supports AI/ML hardware, the core craft is in DSP and silicon design, not directly building or researching AI models. | — | 5 |