Currently tracking 526 active AI roles, with 1251 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
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.
Google currently has 612 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), AI Outcome Customer Engineer, Forward Deployed Engineering (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 (383 roles), India (51 roles), Singapore (43 roles), Poland (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 571 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer III, Content Acquisition Platforms Google is seeking a Software Engineer III to join their Content Acquisition Platforms team in Tokyo. The role involves designing and developing systems and algorithms to assess content value, build scalable software systems for the platform, analyze datasets for content quality, and collaborate with other teams. The engineer will also design and run experiments to refine valuation models and improve acquisition outcomes. The role requires experience in software development, data structures, and algorithms, with preferred qualifications in large-scale data analysis, ML techniques for content understanding, and experience with signals and metrics for data/content quality. | — | 5 |
| Senior AI Strategist This role is for a Senior AI Strategist within Google's People Operations (HR) team, focused on leveraging AI to transform HR products and operations. The strategist will lead projects, ideate, design, and launch agentic systems, working at the intersection of business, product, and engineering. Responsibilities include updating content, leading solution identification and execution, mitigating risks, developing solutions compliant with legal requirements, and defining business opportunities and long-term strategy. While the role involves AI strategy and deployment, the core responsibilities are product and program management focused rather than direct AI/ML model building. |
| — |
| 5 |
| Software Engineer II, Flume Machine Learning Software Engineer II, Flume Machine Learning at Google Poland, focused on advancing data processing infrastructure for ML pipelines and standard workloads. Responsibilities include developing data processing features, using AI tools, working with customers on schedulability, and analyzing performance data. Requires a Bachelor's degree, 1 year of software development experience, and experience with large-scale infrastructure or distributed systems. Preferred experience with ML infrastructure. | Serve | 5 |
| AI Sales Specialist Manager, Google Cloud 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, driving pipeline, and meeting sales goals. The manager will partner cross-functionally, develop go-to-market plans, and influence strategic direction by identifying AI use cases for Google Cloud products and solutions. Minimum qualifications include 12 years of sales experience in enterprise software, cloud, or AI, with leadership experience and experience selling AI technology. | — | 5 |
| AI Sales Specialist, Google Cloud (English, Spanish) Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying AI use cases to deliver business value. The role involves working with customers and cross-functional teams to develop go-to-market strategies and drive pipeline growth. | — | 5 |
| Senior Business Data Scientist, YouTube Ads GTM Creatives This role is for a Senior Business Data Scientist on the YouTube Ads Go-to-Market (GTM) Creative Research and Data Science team. The primary focus is on leveraging data science, statistical models, and AI tools to provide insights and guidance for advertisers on YouTube. The role involves building scalable Business Intelligence infrastructure, developing predictive models, and conducting causal inference and experimental design to shape advertiser strategies and improve ad effectiveness. While AI tools are used, the core craft is not building AI models but applying them to business problems within the advertising domain. | — | 5 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on leading engineers, setting team priorities, developing technical roadmaps, and guiding system designs for large-scale AI and infrastructure projects. The role involves people management and technical leadership within a team that supports Google's AI models and computing power. | Serve | 5 |
| Silicon Senior uArch/RTL Engineer, Google Cloud This role focuses on the microarchitecture and RTL design of TPUs (Tensor Processing Units) for AI/ML hardware acceleration in Google's data centers. The engineer will be responsible for designing, implementing, and verifying complex digital designs, with a focus on performance, power, and area optimization, contributing to the next generation of AI accelerators. | — | 5 |
| Group AI Strategy Manager This role is for a Group AI Strategy Manager within Google's People Operations (POps) and Corp Engineering. The initiative aims to leverage AI to transform HR products and operations by designing and launching agentic systems. The role involves defining AI strategy, leading conceptualization and design of AI-driven solutions, redesigning processes into agentified workflows, establishing success metrics and ROI models, and partnering with executive leaders. While the role focuses on strategy and product definition for AI solutions, it does not involve direct AI/ML model development or research. | — | 5 |
| GCP New Business Sales Executive Sales Executive for Google Cloud Platform (GCP) focusing on Small & Medium Businesses (SMBs) in India. The role involves driving business development, managing sales cycles, and leveraging GCP's AI offerings to help customers digitally transform and solve business problems. Requires experience selling IaaS/PaaS and AI/Agentic products. | — | 5 |
| Enterprise Architect, Professional Services, Google Cloud This role focuses on designing and implementing cloud-native solutions for enterprise clients, with a specific emphasis on integrating advanced AI and agentic workflows. The Enterprise Architect will act as a trusted advisor to executive stakeholders, translating business needs into technical roadmaps and overseeing the technical execution of cloud transformations. While not directly building AI models, the role is critical in architecting systems that leverage and orchestrate AI capabilities for business solutions. | Agent | 5 |
| Customer Engineer, Security, Google Cloud (Japanese) Customer Engineer focused on Google Cloud security solutions, specifically leveraging AI for security and securing AI workloads for enterprise clients in Japan. The role involves acting as a trusted advisor, demonstrating and prototyping security integrations, designing architectures, and collaborating with sales and engineering teams. | — | 5 |
| Strategic Partnerships Development Senior Associate, Search This role focuses on strategic partnerships to bring AI products to market within Google Search, driving adoption and value for Google and its ecosystem. It involves identifying opportunities, developing relationships with key partners, structuring agreements, and overseeing integration and performance monitoring. The role requires collaboration with cross-functional teams like Product, Engineering, Marketing, and Legal. | — | 5 |
| Google Student Ambassador This role is for a Google Student Ambassador focused on promoting and driving awareness and usage of Google's AI tools, like the Gemini app, among students on their campus. Responsibilities include organizing events, conducting learning sessions, creating content, and gathering student feedback to improve the student experience with AI products. | — | 5 |
| Technical Communications Manager, Technology and Society This role is for a Technical Communications Manager within Google's Global Communications & Public Affairs team, focusing on Technology and Society. The manager will work with researchers, engineers, and policy experts to communicate complex technical developments and frontier AI research to journalists, thought leaders, and the public. Responsibilities include developing communication strategies, distilling technical information into accessible content, managing reactive communications, building external relationships, and preparing executives for public engagements. The role requires experience in technical communications, public relations, or journalism within the technology, AI, or scientific research sectors, with a strong ability to translate complex technical material for non-technical audiences. Familiarity with core machine learning concepts is preferred. | — | 5 |
| Strategic Cloud Engineer, Application Development, Google Public Sector Google Public Sector is seeking a Strategic Cloud Engineer to help public sector clients derive maximum value from Google Cloud Platform. This role involves acting as a technical advisor, creating reusable artifacts for compliance and private cloud solutions, and delivering tailored solutions in production. The engineer will also create technical content and lead multi-organizational project teams. | — | 5 |
| Software Developer, Android, Glasses System UI Software Developer for Android Glasses System UI, focusing on creating user-centric experiences and foundational platform components, including AI agent interfaces, dynamic widgets, and novel interaction methodologies for augmented reality. Collaborates with ML perception specialists and translates user needs into prototypes. | — | 5 |
| Strategic Alliance Manager III, Security, Google Cloud This role is for a Strategic Alliance Manager III on the Google Cloud Security team. The primary focus is on developing and managing strategic partnerships with Managed Security Service Providers, Telcos, GSIs, and Cloud Partners to embed Google's Security suite of products. The role involves collaborating with Sales, Marketing, and Product Management to drive security sales, partner success, and business growth. It requires analyzing market trends, developing recommendations, and understanding partner business strategies. While the role is not directly building AI models, it involves working with AI/ML and cybersecurity solutions within a partner ecosystem. | — | 5 |
| Software Engineer, Android, CI Infrastructure Software Engineer to build and deploy AI-powered CI infrastructure for Android, Chrome, and ChromeOS. Focus on scalability, reliability, and streamlining operational workflows using Agentic AI. | ServeAgent | 5 |
| Senior Power Modeling Engineer, Google Pixel This role focuses on power modeling for Google Pixel devices, optimizing battery life and power efficiency by developing methodologies, simulation tools, and data analytics. The engineer will influence hardware decisions based on AI workload simulations and real-world user behavior, impacting millions of users. The role involves designing power modeling methodologies, processing device analytics, creating subsystem models, building visualization tools, and projecting power impacts of future features. | — | 5 |
| Software Engineer III, Infrastructure, Google Workspace Google is seeking an engineer to work on infrastructure for AI-powered Workspace products, focusing on developing and enhancing software solutions that will shape the future of productivity tools. The role involves managing project priorities, designing, developing, testing, deploying, and maintaining software, with a focus on large-scale infrastructure and distributed systems, and collaborating with AI model builders. | Serve | 5 |
| Software Engineering Manager, Supply Chain Logistics Manage an engineering team responsible for implementing various software products and designing and building internal applications that support internal business processes related to supply chain and engineering operations. Leverage Artificial Intelligence/Machine Learning (AI/ML) to solve supply chain problems. | — | 5 |
| Ads Solutions Engineer, gTech This role focuses on leveraging emerging technologies, including machine learning, to build and scale innovative technical solutions for Google's largest advertising clients and partners. The primary responsibility is to adapt and scale existing solutions, automate workflows, and manage the full lifecycle of these scaled solutions to drive customer growth and enhance ad experiences. | Ship | 5 |
| Data Center Analytics Engineer Google is seeking a Data Center Analytics Engineer to design and implement advanced analytics, AI/ML integrations, and data visualizations. The role involves owning data engineering workstreams, collaborating on custom web applications, and engaging with stakeholders to solve business problems. The position requires a Bachelor's degree in Computer Science or equivalent experience, with 5 years in analytics and data science applications, and 5 years in data engineering. Experience with Machine Learning and AI Integrations, and web development are preferred. | Data | 5 |
| Imaging and Display Silicon Architect, Android XR Ecosystem This role focuses on architecting camera systems, graphics, video, and display pixel processing for AR/XR products, aiming to accelerate the adoption of spatial computing. The position involves defining end-to-end pixel processing pipelines, from sensor to output for human or AI consumption, and collaborating with various partners. While the role touches upon AI and computer vision, its core is in hardware and system architecture for XR devices, not direct AI model development. | — | 5 |
| Senior Software Engineer, Infrastructure This role is for a Senior Software Engineer on the Google Compute Engine (GCE) team, focusing on building and optimizing the foundational infrastructure for AI/ML workloads. The engineer will lead the introduction of new VM families, analyze and optimize VM performance, develop software components for reliability and performance, and provide engineering support for existing VM families. The role requires experience with IaaS, large-scale infrastructure, distributed systems, and virtualization, with a focus on supporting the growing demand for AI/ML computing. | — | 5 |
| Technical Program Manager III, Engineering Operations, Search Technical Program Manager III for Google Search and Translate, focusing on driving AI-powered feature development and model evaluation for consumer-facing products. Requires experience with prompt engineering or AI agents and understanding of ML/AI techniques. | Ship | 5 |
| Visual Designer, AIUX, DeepMind Visual Designer for AIUX at DeepMind, focusing on user-centered design for AI-driven experiences. Responsibilities include leading visual design direction, developing visual languages for novel AI experiences, crafting motion design to clarify AI behaviors, and producing various design artifacts. Collaborates with multidisciplinary teams. Requires a Bachelor's degree in Design or related field, 6 years of visual design experience, and a portfolio. Preferred experience includes designing for AI/ML products and complex systems. | — | 5 |
| GECX Sales Specialist, Google Cloud This role is a sales specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) offering. The primary focus is on growing the GECX business by building and expanding customer relationships, identifying AI use cases, and partnering with internal sales teams to drive adoption of Google Cloud AI solutions for customer experience. | — | 5 |
| Data Engineer, Operations and Infrastructure Data Science Data Engineer role focused on designing and managing data pipelines for Vertex AI operations, building automated agents for system monitoring, and creating dashboards for efficiency metrics. The role involves collaborating with data science and finance teams to translate efficiency goals into data models and tracking systems, ensuring alignment with budgetary requirements. | Data | 5 |
| Product Manager, Pixel Contextual Customization Product Manager for Google Pixel, focusing on contextual customization and AI-powered personalization for mobile devices. This role involves guiding products from conception to launch, defining roadmaps, and collaborating with cross-functional teams to drive innovation. | — | 5 |
| Engineering Analyst, Kids and Learning Trust and Safety This role supports the launch of Generative AI search experiences and education efforts, focusing on responsible AI capabilities. The analyst will perform data analysis to identify and combat abuse, develop datasets and run evaluations for Gen AI products, establish metrics for AI issues, and improve model safety through data analysis. The role requires experience in data analysis, project management, and familiarity with ML model performance or LLMs. | Eval Gate | 5 |
| Gemini Enterprise Customer Experience Sales Specialist, Cloud Nordics This role is a sales specialist focused on growing Google's Gemini Enterprise for Customer Experience (CX) business. The primary responsibility is to build and expand relationships with new and existing customers, identify use cases for Google Cloud AI products, and drive sales cycles. While the role interacts with AI products and aims to help customers build new products leveraging AI, the core craft is sales, not building or researching AI models themselves. | — | 5 |
| Security Engineer, Information Security Engineering Product AI Research and Security This role focuses on ensuring the security of Google's AI products and features by identifying and mitigating vulnerabilities throughout the product lifecycle. The engineer will analyze AI products, conduct threat modeling, perform research on vulnerabilities, and promote security practices. While leveraging AI tools, the core function is security engineering for AI products, not direct AI model development. | — | 5 |
| Senior UX Researcher, Labs, Generative Media This role is for a Senior UX Researcher on a team building Generative AI products in the ads, marketing, and media space. The researcher will be a core member of a fast-moving 0 to 1 product team, responsible for scoping learning programs, helping the team meet milestones, and defining team culture. The role involves conducting primary research, collaborating with cross-functional teams, and influencing product strategy by providing actionable insights. While the products are AI-related, the core craft of the role is UX research, not AI/ML model development. | — | 5 |
| Product Manager I, AI/ML Product Manager for AI/ML within Google Ads, focusing on leveraging unique data and advanced ML techniques to improve ad systems, measurement, and advertiser value, while navigating privacy and regulatory changes. | Ship | 5 |
| Head of AI Engineering, Cloud AI, Google Cloud Lead a team of subject matter experts to accelerate AI adoption within Google Cloud, focusing on technical sales, Go-to-Market strategy, and resolving customer technical blockers. This role involves managing a team, building technical sales assets, and collaborating with product and sales leaders to drive customer success with AI solutions. | — | 5 |
| Android Application Engineer, Google Fi Android Application Engineer for Google Fi Wireless, focusing on scaling the subscriber base, architecting core features, and enhancing functionality using deep Android and telephony expertise. The role involves technical leadership, mentoring junior engineers, and collaborating with cross-functional teams to deliver a seamless user experience. The team leverages Google's AI to solve complex problems and improve customer connectivity. | — | 5 |
| Software Engineer III, Flume ML Software Engineer III, Flume ML at Google, focused on advancing data processing infrastructure, including schedulability and autotuning. The role involves designing and developing data processing features, utilizing AI tools for development, and working with customers on schedulability tests. Requires experience in software development and large-scale infrastructure. | — | 5 |
| Customer Engineer, AI Platform, Google Cloud (Japanese) Customer Engineer for Google Cloud's AI Platform, focusing on accelerating AI adoption by providing technical expertise, developing sales assets, and resolving customer blockers in the Japanese market. | — | 5 |
| Field Sales Manager III, Startups, CEE, Google Cloud Field Sales Manager for Google Cloud Startups in CEE, focusing on guiding startups in leveraging Google's AI tech stack for scaling their AI-driven products from prototyping to global deployment. The role involves leading a team of Field Sales Representatives, building relationships with founders and investors, and ensuring startups architect their business on Google Cloud AI services. | — | 5 |
| Account Executive, Consumer Packaged Goods (English) Account Executive for Google's Consumer Packaged Goods advertising solutions, focusing on leveraging AI to drive customer growth and business performance. The role involves building C-level relationships, developing business plans, and providing thought leadership in the CPG sector, utilizing Google's advertising products across Search, YouTube, and more. | — | 5 |
| Senior Software Engineer, Android CI Infrastructure Senior Software Engineer to build next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. The role involves designing, implementing, and deploying scalable and reliable systems, with a focus on streamlining operational workflows using Agentic AI and enhancing system reliability. The engineer will also contribute to AI accelerated development and ensure the scalability and availability of infrastructure. | Serve | 5 |
| Agentic Transformation Consultant, Delta, Google Cloud Consulting (Japanese, English) This role focuses on guiding enterprise customers in adopting AI, specifically agentic AI, to drive business outcomes. The consultant will work with C-suite executives to reimagine business functions, design AI-augmented operating models, and create transformation roadmaps. Key responsibilities include designing human-in-the-loop touchpoints, governance frameworks, and change management plans for AI agent systems. While the role involves understanding and strategizing around agentic AI, it does not involve direct development or research of AI models. | — | 5 |
| Technical Program Manager III, NetInfra, Technical Infrastructure Program Management Office Technical Program Manager III for Google's PLANET team, focusing on networking infrastructure for ML/AI systems (TPUs, GPUs, IPUs). The role involves managing complex, NPI networking programs, defining strategy, and driving cross-functional initiatives to ensure seamless integration and deployment of data center networks that power Google's AI solutions and global services. This is a core infrastructure role supporting AI development and deployment at scale. | — | 5 |
| Software Engineer, Web Platforms for Smart Manufacturing Software Engineer role focused on building full-stack web applications and backend services for smart manufacturing, with a key responsibility to integrate AI models (like Gemini) and intelligent agents to enhance factory operations through predictive analysis and anomaly detection. The role involves owning projects from prototype to production and collaborating with cross-functional teams. | Ship | 5 |
| Senior Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, propose guardrails, and advise on mitigating risks associated with AI use, drawing on existing security engineering knowledge and adapting it to the AI context. The role is within the Enterprise Security AI team, contributing to secure AI development and use across the company. | Agent | 5 |
| Senior UX Designer, Android Onboarding Senior UX Designer for Android Onboarding, focusing on creating intuitive and engaging user experiences for billions of users. The role involves exploring and designing AI-focused solutions to provide personalized health guidance, collaborating closely with cross-functional teams, and translating complex data into user-friendly interfaces. Requires experience in consumer-facing mobile applications and integrating AI/Generative AI into products. | — | 5 |
| Senior Software Engineer, Full Stack , gUP Eng Senior Software Engineer for Google's gUP Eng Support Engagement team, focusing on full-stack development for community platforms. The role involves architecting and building scalable systems, integrating AI/ML models for features like spam classification, and enhancing user engagement and self-service capabilities. Responsibilities include owning the technical roadmap, leading feature development, ensuring system stability and observability, and mentoring other engineers. | Ship | 5 |
| Research Data Scientist, YouTube Ads Bidding This role focuses on statistical modeling and data analysis for YouTube ads bidding, aiming to improve advertiser success and bidding optimization. It involves building infrastructure, innovating products, and solving performance issues using a mix of engineering, machine learning, and analytical work. | — | 5 |
