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 599 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Lead Group Product Manager, Cloud SQL Lead Group Product Manager for Cloud SQL Platform, responsible for strategy, roadmap, and delivering results across performance, availability, and security. Will lead a team of Product Managers and drive the adoption of AI to improve product experiences and organizational effectiveness. | — | 5 |
| Software Engineer II, Enterprise Data Protection Software Engineer II, Enterprise Data Protection at Google, Singapore. This role focuses on building software systems to prevent data exfiltration of intellectual property, including threats from human or autonomous AI agentic actions. The engineer will design, test, deploy, and maintain these security controls across various Google systems. The role requires experience in full-stack development and has a preference for experience in security, machine learning, distributed systems, or AI, specifically agentic software engineering. |
| — |
| 5 |
| Senior Product Manager, Google AI Subscription Growth Product Manager for Google AI Subscription Growth, focused on increasing subscriber adoption and revenue for Google One by integrating AI features across Google's ecosystem. | — | 5 |
| Software Engineer Manager II, Emerging On-prem AI Infrastructure This role is for a Software Engineering Manager II at Google, focusing on Emerging On-prem AI Infrastructure in Taipei. The manager will lead a team of engineers, set technical roadmaps for operational tooling and repair automation, and manage systems development engineers. The team's work involves empowering Google customers with AI and Infrastructure at scale, supporting AI model development, and providing platforms for developers. The role requires experience in software development, technical leadership, people management, and building cloud or systems-level infrastructure. | — | 5 |
| Technical Lead, Home Infrastructure This role is for a Technical Lead in Home Infrastructure at Google, focusing on building and managing scalable serving and offline infrastructure for the Health and Home team. The role involves leading a team, ensuring reliability and low-latency performance of distributed systems, and collaborating with cross-functional teams. While the team uses AI technologies like Gemini, the core responsibility is infrastructure engineering, not direct AI/ML model development. | — | 5 |
| Senior Product Manager, Content Safety Senior Product Manager for Content Safety at Google, focusing on building scalable protections using AI to safeguard users across various products, especially at the intersection of safety and AI. The role involves partnering with engineering, product management, and policy stakeholders to leverage AI for content abuse prevention and ensure high-quality user safety outcomes. | — | 5 |
| Senior Software Engineer, Google EDACloud Senior Software Engineer role focused on developing and managing software for deploying Electronic Design Automation (EDA) tools on Google Cloud. The role involves creating automation, back-end RPC services, and cloud-based solutions for scaling workflows. A key aspect is leveraging advanced machine learning techniques to generate user insights, impacting hardware creation at Google. | Serve | 5 |
| Business Data Scientist, Global Partnerships Studio This role is for a Business Data Scientist within Google's Global Partnerships Studio, focusing on measuring the impact and driving the roadmap of workflow automation and AI products. The individual will define evaluation metrics, build dashboards, analyze user experience data, and provide data-driven recommendations to shape the product roadmap and the AI transformation journey for Global Partnerships. The role involves close collaboration with product and engineering teams to track user experiences and translate business needs into analyses. | — | 5 |
| Design Verification Engineer, Google Cloud Silicon This role focuses on the design verification of custom silicon solutions for AI/ML hardware acceleration, specifically Google's Tensor Processing Units (TPUs). The engineer will own the full verification life-cycle, ensuring the reliability and performance of AI/ML workloads on TPU hardware by building constrained-random verification environments and collaborating with design engineers. The role is within the AI and Infrastructure team, which supports Google's AI models and hyperscale computing. | — | 5 |
| AI Sales Specialist, Google Cloud (Japanese) Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying business use cases for AI solutions. The role involves managing sales cycles, developing Go-To-Market strategies, and working with cross-functional teams to drive pipeline and business growth. | — | 5 |
| Senior Staff Technical Program Manager, GeminiApp, DeepMind The role is for a Senior Staff Technical Program Manager on the GeminiApp team, which is building a universal AI assistant. The primary focus is on program management, translating business priorities into executable programs, guiding projects from conception to delivery, and managing dependencies across teams. While the product is AI-related, the role itself is not directly building or researching AI models but rather managing the product development lifecycle. | — | 5 |
| AI Technical Immersive Learning Manager, Cloud Learning Services This role is for an AI Technical Immersive Learning Manager at Google Cloud. The primary focus is on scaling and delivering the 'Explore AI for Leaders' program, which involves designing, operationalizing, and delivering interactive AI experiences to C-suite audiences. The role acts as a bridge between Google Cloud Sales, Product, and executive customer stakeholders, showcasing the transformative power of Google's AI portfolio, including Gemini Enterprise. The goal is to demystify complex cloud and AI technologies for customer decision-makers and accelerate business cycles through immersive technical experiences. | — | 5 |
| Product Manager II, Android Studio, UI Tools Product Manager for Android Studio's UI Tools, responsible for the roadmap and development of new AI-powered tools, including Generative UI and agentic development patterns. This role involves cross-functional collaboration to guide products from conception to launch. | — | 5 |
| Finance Manager, AI Agents, Cost and Chargebacks The Finance Manager, AI Agents role at Google Cloud Platform focuses on shaping the financial strategy for AI businesses, particularly those involving AI agents. This involves developing financial models for AI costs, implementing chargeback frameworks, and advising product and engineering teams on business models and financial viability. The role requires strong FP&A experience and an understanding of the enterprise technology and AI/agents space. | — | 5 |
| Design Verification Engineer, TPU, Google Cloud Design Verification Engineer for Google's TPU hardware, focusing on ensuring the reliability and performance of AI/ML workloads on the hardware. This role involves full verification life-cycle management, building verification environments, and collaborating with design engineers to verify complex digital designs for AI/ML acceleration. | — | 5 |
| Clinical Specialist, Public Sector Health Solutions, Google Health This role focuses on being a clinical and public health subject matter expert for government partners, helping them understand, integrate, and adopt Google's health solutions. The specialist will translate AI research into practical tools, identify use cases for AI, and foster safe AI adoption within the US health sector. While the role involves understanding and applying AI/ML tools, its core function is product adoption and strategy within the public health domain, not direct AI/ML model development. | — | 5 |
| Global Strategy and Operations Manager, YouTube Business This role is a Product Activation Manager for YouTube Live, focusing on bringing GenAI and other YouTube products to market and gathering market feedback to shape product roadmaps. The role involves defining go-to-market strategies, driving product adoption, and collaborating with business and product leaders. While the role touches on GenAI, its core function is product strategy and market activation, not direct AI/ML development. | — | 5 |
| Software Engineer III, Full Stack, Cloud AI Developer Tools Software Engineer III, Full Stack, Cloud AI Developer Tools at Google. This role is part of the AI Developer Tools organization, building client-facing applications that integrate Google's AI capabilities into developer workflows. The engineer will be responsible for the end-to-end delivery of tools like Gemini Code Assist and the Gemini CLI. The role involves designing, writing, and testing code, operating with high agency, transforming ideas into prototypes, and collaborating with Tech Leads and PMs to launch features. The position requires full stack development experience and the use of AI tools in daily workflows. | Ship | 5 |
| Legal Counsel, DeepMind Legal Counsel for DeepMind, advising on legal issues related to AI research, development, and commercialization. Responsibilities include drafting agreements, providing legal advice on AI model lifecycles, and supporting legal team initiatives. | — | 5 |
| Director, UX Research, Search Verticals Lead user research and content design teams for Google Search verticals, focusing on user needs and how generative AI redefines mental models. Partner with product, design, and engineering leadership to drive strategy and user-centered experiences. | — | 5 |
| Senior Software Engineer, Pixel Audio, Embedded Systems, Firmware Senior Software Engineer on the Pixel Audio team, focusing on embedded systems and firmware for earbuds. The role involves designing, developing, and optimizing audio software, with a specific emphasis on architecting features at the interface of voice and Large Language Models (LLMs) within a multi-core, power-constrained environment. Responsibilities include managing performance metrics (MIPS, memory, power) and collaborating with cross-functional teams to deliver features from prototype to launch. | Serve | 5 |
| Photonic Engineer, Machine Learning Systems, Platforms This role focuses on designing and developing optical interconnect technologies for machine learning systems, specifically for TPU and GPU superpods in data centers. The engineer will work on creating next-generation optical transceivers and systems, exploring emerging photonic networking technologies to improve the efficiency of computing systems. While the role supports ML systems, the core craft is in photonic engineering and hardware infrastructure, not direct AI/ML model development. | — | 5 |
| Software Engineering Intern, Masters, Summer 2026 Google is seeking a Software Engineering Intern to work on AI-integrated software and high-performance applications, focusing on designing, deploying, and maintaining end-to-end infrastructure for large-scale systems. The role involves developing scalable engineering solutions for Google products and applying computer science knowledge to real-world challenges. | Serve | 5 |
| Senior Product Manager, AI Driven Operations This role is for a Senior Product Manager focused on AI-driven operations within Google Cloud. The primary responsibility is to define and execute the strategy for AI solutions that transform production operations, empowering engineers to predict, prevent, diagnose, and resolve issues. The role involves customer advocacy, market analysis, driving product launches, and ensuring seamless integration of AI Ops solutions. While the role leverages AI/ML concepts and aims to launch AI-powered products, the core craft is product management rather than direct AI/ML model development or research. | — | 5 |
| Customer Engineer, Google Cloud Platform, SMB (English, Japanese) Customer Engineer for Google Cloud Platform, focusing on SMB clients in Tokyo. This role involves being the technical expert for sales, designing and implementing custom solutions for partners using Google Cloud. Responsibilities include understanding customer technical needs, advocating for Google Cloud products, prototyping integrations, and recommending architectures. The role requires experience with cloud infrastructure, digital native customers, technical presentations, and familiarity with data and AI, including generative AI and agentic AI solutions. | — | 5 |
| Cloud AI Engineer This role focuses on delivering big data and machine learning solutions to Google Cloud customers, acting as a technical advisor and influencing product roadmaps. It requires experience in building ML/data science solutions and software development. | Data | 5 |
| GECX Sales Specialist, Google Cloud This role is a sales specialist focused on growing Google Cloud's Gemini Enterprise Customer Experience (GECX) business. The specialist will build relationships with customers and internal sales teams, identify use cases for Google Cloud AI products, and help customers build new products leveraging AI. The role requires extensive sales experience in enterprise software, cloud, or AI, with a focus on customer experience and AI solutions. | — | 5 |
| Product Counsel, Data Strategy, DeepMind Product Counsel for Google DeepMind, focusing on data strategy for AI models, products, and systems. The role involves advising cross-functional teams on legal matters, forthcoming regulatory changes, and ensuring compliance with AI and data regulations. This position requires deep understanding of the AI model lifecycle, privacy regulations, and the ability to translate legal requirements into technical specifications. | — | 5 |
| Product Counsel, Gemini Models, DeepMind Product Counsel for Gemini models, advising Research and Product teams on legal matters related to AI development and release, regulatory changes, and establishing governance frameworks for AI model lifecycles. | — | 5 |
| AI Sales Specialist, US North, 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 deliver business value. The role involves working with customers and internal teams to develop go-to-market strategies and drive pipeline growth. | — | 5 |
| AI and Knowledge Strategist This role focuses on developing content strategy for AI-powered solutions within Google Ads, translating business goals into AI instructions, and ensuring AI responses are accurate and aligned with product logic. It involves creating content solutions and understanding Generative AI guardrails to mitigate risks like hallucinations. | — | 5 |
| Software Engineering Manager, Raxium Software Engineering Manager for database solutions in the semiconductor manufacturing domain, managing a team and overseeing the lifecycle of database applications. The role involves leveraging AI/ML methods like Gemini for technical excellence and productivity improvements. | — | 5 |
| Group Product Manager, Google Play Group Product Manager for Google Play Games, focusing on building new experiences for gamers using Google's AI infrastructure and tools. The role involves leading cross-functional teams from concept to launch and scaling global consumer products. | — | 5 |
| Senior Product Manager, Silicon, Audio and Speech Senior Product Manager for Google's Silicon, Audio, and Speech division, focusing on defining product roadmaps for Audio and Speech hardware and software solutions that leverage Google's AI/ML capabilities. The role involves cross-functional collaboration with engineering, research, and device teams to bring differentiated features to first-party devices, with a strong emphasis on silicon products powering mobile devices and experience with audio/NLP solutions and ML/LLMs. | Serve | 5 |
| Technical Program Manager, AI Enablement Technical Program Manager focused on scaling and operationalizing AI solutions within Google's AI and Infrastructure team. The role involves program management, stakeholder communication, and driving AI project delivery across complex, multi-disciplinary projects. | Ship | 5 |
| Support Data Analytics Manager, Cloud Support Manage a team of BI Developers building data pipelines and analytical models for Google Cloud Go-to-Market teams, focusing on AI-enabled BI solutions and conversational analytics using tools like Looker and Gemini models. | — | 5 |
| Product Manager I, Geo Mid-Trip User Generated Content Product Manager for Google Maps' Trips User Generated Content team, focusing on real-time updates and conversational AI powered by Gemini to enhance driver reporting experiences. The role involves driving product strategy, cross-functional collaboration, and user experience advocacy for features that improve map accuracy and richness through voice and touch interactions. | Agent | 5 |
| Learning Impact Specialist, LearnX This role focuses on developing and implementing evaluation frameworks to assess the quality of Generative AI tools within an educational context. The specialist will leverage learning science principles to consult with product development teams and lead discussions on how GenAI can shape better learning outcomes. While not directly building AI models, the role is critical in evaluating their impact and quality in educational products. | Eval Gate | 5 |
| Senior Software Engineer, Google Cloud Storage, AI/ML Senior Software Engineer role focused on developing next-generation storage solutions for AI/ML workloads on Google Cloud Platform. The role involves designing and implementing advanced storage solutions, addressing system design issues, developing production-ready code, and contributing to incubation projects. Responsibilities include writing and testing code, participating in design reviews, reviewing code from peers, triaging and debugging issues, and contributing to documentation. The role requires experience with software development, testing, maintenance, launching products, and software design/architecture, with preferred qualifications in data structures, algorithms, technical leadership, file systems, Linux kernel internals, AI/ML workloads, and cloud computing platforms. | — | 5 |
| Vendor Operations Manager This role manages vendor operations, focusing on transitioning to tech-forward operations and integrating Generative AI and LLM-powered tools into supply chain workflows. The manager will lead business reviews, monitor SLAs using AI-enhanced analytics, oversee financial operations, and ensure cost optimization through automation and efficiency. | — | 5 |
| Senior Interaction Designer, AI Personalized Experiences Senior Interaction Designer focused on creating personalized AI experiences within Google Search, transforming complex tasks into intuitive user interfaces. The role involves designing and prototyping AI-driven features, collaborating with cross-functional teams, and advocating for user-centered design principles in AI product development. | — | 5 |
| Product Strategy and Operations Lead, AI and Infrastructure This role is a Product Strategy and Operations Lead for Google's AI and Infrastructure Cloud business. The individual will work with product management, engineering, and other cross-functional teams to develop business and product strategies, drive strategic projects, incubate new initiatives, provide analytics support, and facilitate business operations. The role involves working closely with leadership to define key business metrics, perform market analysis, and support Go-to-Market strategy. While the role is within an AI and Infrastructure team, it focuses on the business and operational strategy rather than direct AI/ML model development. | — | 5 |
| Senior Staff Software Engineer, Gemini Mobile App, DeepMind Senior Staff Software Engineer for the Gemini mobile application at Google DeepMind, focusing on delivering new features, driving cross-functional collaboration, and ensuring scalability and performance. The role involves technical leadership and influencing engineering teams within the Gemini ecosystem. | — | 5 |
| Strategic Partner Development Principal Lead, Google for Education This role focuses on developing and managing strategic partnerships within the Google for Education business, with a significant emphasis on driving the adoption of artificial intelligence in educational products and initiatives. The role involves shaping product roadmaps, enabling collaborations, and executing agreements to enhance product quality and reach students and teachers globally. | — | 5 |
| Pillar Strategy Lead, Trust and Safety, Strategy and Operations This role is a Strategic Lead for Trust and Safety at Google, focusing on developing and executing strategy for assigned pillars and managing an organization-wide AI transformation initiative. The role involves translating high-level goals into measurable plans, defining KPIs, preparing data-driven narratives, and acting as a liaison between teams. The AI transformation aspect focuses on empowering teams with new agentic tools and redesigning processes. | — | 5 |
| Youtube Creative Specialist, LCS (Mandarin, English) This role focuses on helping advertisers optimize their creative strategies using Google and YouTube's advertising solutions, including generative AI applications. The specialist will identify creative gaps, develop data-driven pitches, and support sales teams in adopting best practices to drive advertiser success and revenue growth. The role is client-facing and requires strong communication and problem-solving skills, with a focus on creative optimization and the application of AI in advertising. | — | 5 |
| Business Development Senior Associate, GenAI This role focuses on sourcing and negotiating third-party data partnerships to power foundational AI models like Gemini. The associate will act as a liaison between researchers and external partners, managing the agreement lifecycle and ensuring a pipeline of data assets aligned with AI model priorities. | — | 5 |
| Executive Strategy and Programs Lead, Google Cloud This role is for an Executive Strategy and Programs Lead within Google Cloud's Global Partner Ecosystem. The primary focus is on managing the operational cadence for the leadership team, preparing executive stakeholders, and leading cross-functional initiatives. A key aspect of the role involves identifying and piloting AI tools to enhance productivity and drive strategic impact. While the role utilizes AI tools, it does not involve building or shipping AI models. | — | 5 |
| Software Engineer III, Data Engineering Console Google is seeking a Software Engineer III to help pivot the Data Engineering Console to an agent-first world, supporting over 22,000 Googlers in managing metascale data flows for various critical applications including Gemini model training, Ads revenue tracking, YouTube video analysis, and Waymo self-driving data. The role involves writing product/system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. The ideal candidate will have experience building internal developer tools or AI agent systems. | Agent | 5 |
