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 526 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 |
|---|---|---|
| Software Engineer, Systems Research, PhD, Early Career Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams. | Serve | 7 |
| Technical Program Manager, Applied Technical Expertise Enablement, GCP Technical Program Manager focused on enabling Google Cloud developers with AI-native engineering practices and AI-first product development. The role involves leading technical learning strategies, authoring and curating technical content, and integrating AI concepts into existing learning experiences to bridge the gap between knowing and doing. The TPM will partner with leadership to translate business objectives into technical specifications for workforce enablement, with a focus on building and deploying AI solutions. | Agent |
| 6 |
| Business Intelligence Developer I, Google Cloud This role focuses on developing AI agents and data infrastructure to create actionable business intelligence and automate reporting for Google Cloud's sales organization. The primary deliverable is an AI agent that integrates with data pipelines to scale business intelligence delivery. | Agent | 6 |
| Model UX Writer, Devices and Services This role focuses on shaping user experiences for AI products, particularly in consumer devices and services. The Model UX Writer will define the AI persona, craft systems for human-AI interactions, and translate user needs into intuitive AI-driven solutions. Success requires collaboration with researchers, product managers, and engineers, with a focus on content architecture and conversational AI design. | Ship | 6 |
| Staff Software Developer, Android XR System Apps Staff Software Developer for Android XR System Apps at Google, focusing on next-generation UI for XR devices. The role involves designing, prototyping, building, and launching new user experiences, incorporating emerging technologies like spatial interactions and AI-powered multi-modal conversational interfaces. The team is at the forefront of the convergence of AI and XR, aiming to augment human intelligence with lightweight XR devices and helpful AI. | Agent | 5 |
| Senior Standards and Governance Manager, DeepMind This role focuses on establishing technical benchmarks, best practices, and governance protocols for advanced AI systems, bridging external regulatory developments with internal engineering teams. It involves shaping external oversight policies, defining auditor criteria, and orchestrating engagements with policymakers and technical experts to promote responsible AI adoption. | — | 5 |
| Business Development Manager, Media, Gaming and Entertainment, DeepMind This role is for a Business Development Manager at Google DeepMind, focusing on strategic partnerships in the Media, Gaming, and Entertainment sectors. The manager will identify, shape, negotiate, and manage external collaborations with partners to bring AI models and experiences to creatives, working closely with AI researchers and engineers. The role involves driving research, product, and data partnerships from concept to execution, acting as a thought partner for internal and external teams, and managing key external relationships. While the company is at the forefront of AI research and product development, this specific role is focused on business development and partnerships rather than direct AI/ML development. | — | 5 |
| Security Partner Manager, AI Threat Defense, Google Cloud This role focuses on scaling Google Cloud's AI Threat Defense ecosystem by enabling and guiding partners to build and deploy security solutions using AI capabilities. The role involves leading technical workshops, advising on best practices, and relaying field feedback to internal teams. | — | 5 |
| AI Strategic Pursuit Lead, Google Cloud, Automotive This role is an AI Strategic Pursuit Lead for Gemini Enterprise, focusing on customer experience in the automotive industry. The lead will be responsible for driving the success of strategic pursuits, advising top customers, and collaborating with cross-functional teams to shape the future of in-car experiences using generative AI and voice assistants. The role involves articulating digital transformation paths, holding accountability for customer outcomes, defining governance models, leading large-scale projects, and managing the presales scoping lifecycle. | — | 5 |
| Principal Program Manager, Gemini Enterprise Transformation This role is for a Principal Program Manager focused on scaling Google Cloud's Generative AI offerings through partnerships with Global Systems Integrators (GSIs) and AI Pureplay partners. The program manager will lead the operationalization, execution, and evolution of an ecosystem initiative to build enterprise-grade AI capabilities. The role involves orchestrating cross-functional teams, bridging strategy and execution, and ensuring partners can leverage Google Cloud AI to solve customer business problems. | — | 5 |
| Ads Solutions Engineering Manager, gTech Lead a team of Customer and Partner Solutions Engineers to develop and scale advertising solutions for customers, focusing on technical implementation, optimization, and engineering solutions. Provide thought leadership and develop new AI solution offerings, driving automation and integration with AI for complex workflows. | — | 5 |
| Customer Engineer, Security, Google Cloud (English, Spanish) Customer Engineer for Google Cloud Security, focusing on security intelligence, analytics (including ML models), and research. This role involves technical account planning, demonstrating GCP value, architecting solutions, and supporting sales motions. Requires experience in cloud-native architecture and cybersecurity, with fluency in English and Spanish. | — | 5 |
| GECX AI Sales Specialist, Google Cloud AI Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on growing sales by building customer relationships and identifying AI use cases. This role involves collaborating with internal sales teams and product groups to drive customer adoption of Google Cloud AI solutions. | — | 5 |
| Technical Lead Manager, Search Ads Serving Infrastructure Technical Lead Manager for Search Ads Serving Infrastructure at Google, focusing on evolving the Ads Serving stack to support next-gen AI/LLM capabilities. The role involves leading infrastructure development, optimizing performance, building automation, and collaborating across teams to ensure business growth and operational excellence in a highly reliable system. While the role is in AI infrastructure, the core function is engineering for serving systems, not direct AI model development. | — | 5 |
| Staff UX Quantitative Researcher, Search Ecosystem This role is a Quantitative User Experience Researcher focused on the Search Ecosystem team. The primary responsibility is to investigate user behavior through empirical methods like logs analysis, survey research, and regression to drive impact at all stages of development. The role involves influencing stakeholders, owning project priorities, driving ideas for product improvement, leading teams to evaluate product/service/ecosystem impact, and owning strategy discussions through research. While the role operates within the context of Generative AI and its impact on information consumption and the web ecosystem, the core function is user research and product strategy, not direct AI/ML model development. | — | 5 |
| Engineering Manager, Borglet Machine Learning Google is seeking an Engineering Manager for their Borglet Machine Learning team in Sunnyvale, CA. This role involves managing a team of Software Engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware. The team contributes to Google's internal infrastructure and new Cloud and ML business, managing resources at scale. The manager will set team priorities, establish expectations, develop technical roadmaps, guide systems designs, and review code. The role requires a Bachelor's degree or equivalent experience, 8 years in software development, 3 years in large-scale infrastructure or distributed systems, and 3 years in technical leadership, including 2 years in people management. | — | 5 |
| Software Engineer Manager, Infrastructure Google is seeking a Software Engineer Manager for their Infrastructure team, focusing on managing engineers and technical leadership for large-scale projects. The role involves setting team priorities, developing roadmaps, designing systems, and writing code. While the team works on AI challenges and collaborates with AI Research, the core function of this management role is infrastructure and people management, not direct AI/ML model development. | — | 5 |
| Senior Software Engineer, Security and Privacy, Workspace Senior Software Engineer role focused on security and privacy within Google Workspace, leveraging AI advancements to enhance productivity tools like Gmail, Docs, and Meet. The role involves writing and testing code, participating in design reviews, triaging and debugging issues, and owning the improvement of critical security mechanisms. While the role is primarily in security engineering for enterprise AI products, it involves working with AI features and model builders. | — | 5 |
| Senior Staff UX Researcher, Google Labs Senior Staff UX Researcher for Google Labs, focusing on AI products for the science community. This role involves conducting primary research (field studies, interviews, surveys, usability testing) to understand user needs and drive product development from 0 to 1. The researcher will pioneer new UXR methodologies for an AI-forward environment and influence product strategy and roadmap. | — | 5 |
| Senior Staff Software Engineer, Cloud SDK Senior Staff Software Engineer for Google Cloud SDK, focusing on building CLIs and client libraries across multiple languages. The role involves leveraging code generation, partnering with API producers, and evolving the SDK to support developers in the AI era, including capabilities like Agentic Identity. Requires extensive experience in software development, SDKs, and Cloud APIs. | — | 5 |
| Technical Program Manager II, Agentic AI, gTech Technical Program Manager II, Agentic AI, gTech at Google. This role focuses on managing complex, cross-functional programs critical to gUP's top priorities, spanning areas like Generative AI-powered Ask Google Help, enhancing agentic UserVoice feedback systems, or building critical tools and platforms for Google's Partners. Responsibilities include establishing project plans, tracking progress, managing risks and dependencies, and facilitating communication across global teams. The role involves partnering with Engineering teams to troubleshoot technical blockers within Generative AI workflows, including prompt engineering and data pipeline issues, and ensuring safety, legal, privacy, and regulatory checkpoints are met. | Agent | 5 |
| Technical Program Manager III, Machine Learning Portfolio, Cloud Networking Technical Program Manager III for Google Cloud's Machine Learning Portfolio, focusing on Network Delivery Execution. This role is accountable for translating strategic capacity plans into reliable network deployments for ML products, requiring strong program management, stakeholder communication, and experience with ML infrastructure and data centers. | — | 5 |
| Customer Engineer III, Platform, Startup, Google Cloud Customer Engineer III for Google Cloud Platform, focusing on technical sales and solution architecture for startups. The role involves understanding customer challenges, architecting cross-pillar cloud solutions, and driving technical wins. While not directly building AI models, the role requires deep domain expertise in AI/GenAI inferencing and GPU infrastructure, indicating a strong AI-adjacent focus. | — | 5 |
| Senior Software Engineer, Home Infrastructure, Frontend and Protocols Senior Software Engineer role focused on the frontend and protocols for Google Home, connecting smart home devices with LLM-powered services. The role involves re-evaluating device connectivity, supporting production infrastructure, migrating traffic to newer protocols, deprecating legacy systems, and implementing AI capabilities for infrastructure migrations. It requires experience with large-scale infrastructure, distributed systems, and software development, with a preference for smart home/IoT or voice assistant domain experience. | AgentServe | 5 |
| AI Outcome Customer Engineer, Cloud AI Tech GTM Customer-facing role focused on driving adoption and value realization of Google Cloud AI solutions for enterprise customers. Responsibilities include technical deployment planning, architectural validation, debugging complex workflows, and acting as a liaison between customers and product/engineering teams to ensure successful production deployments and ongoing usage. | ServeAgent | 5 |
| AI Outcome Customer Engineer, Cloud AI Tech GTM Customer Engineer role focused on driving adoption and value realization of Google Cloud AI solutions for enterprise customers. This involves technical deployment planning, architectural validation, debugging, and acting as a bridge between customers and product/engineering teams to ensure successful production deployments of AI models and agents. | ServeAgent | 5 |
| Staff Software Engineer, Search Content Platforms Staff Software Engineer role focused on Google's Search Content Platforms, aiming to build a platform that leverages AI to organize and deliver content for Search experiences. The role involves driving technical problems, establishing content services, and collaborating with leaders to enhance engineering excellence. It requires extensive full-stack development experience, software architecture, and ETL/data architecture. | — | 5 |
| Certification Exam Manager, Cloud Learning Services (English) Manage the development and maintenance of Google Cloud Certification exams, working with subject matter experts and utilizing AI tools to enhance exam development workflows and processes, while ensuring test security and continuous improvement. | — | 5 |
| Innovation Consultant, Public Sector, Google Cloud This role focuses on guiding public sector and defense customers in adopting AI to achieve mission outcomes. The consultant will work with executives to redesign organizational functions and implement AI-augmented operating models, leveraging Google Cloud's agentic AI. Key responsibilities include leading transformation initiatives, translating technical concepts into business value, developing roadmaps for AI impact, and designing governance frameworks for hybrid human-agent workforces in regulated environments. Experience with AI/ML platforms and a product management background are preferred. | — | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer focused on building the Gemini Enterprise mobile application for iOS and Android. This role involves integrating Gemini's reasoning capabilities with enterprise data to help employees accomplish tasks, acting as a single destination for enterprise search, assistant, and agents. The application is critical for large customer agreements and front-line workers. | Ship | 5 |
| Product Technology Manager, gDATA Product Technology Manager for gDATA team at Google, focused on making Google Ads products more usable through ML, forecasting, and generative AI. The role involves aligning data science and data engineering resources, leading roadmap development, and ensuring governance for data products like ML models and AI insights engines, aiming to improve quality and efficiency by leveraging AI. | Ship | 5 |
| Senior UX Designer, AI Personalized Experiences Senior UX Designer focused on personalizing Google Search's Discover surface using AI, requiring collaboration with PMs and engineers, and leveraging user insights to create industry-leading products. The role involves concept work, pitching ideas, and executing launches, with a focus on visual and AI-driven personalized experiences. | — | 5 |
| Staff Software Engineer, Search Local Ads Data Platform Staff Software Engineer role focused on the Google Ads Data Platform, specifically serving and data infrastructure for location and call data. The role involves designing and developing large-scale software solutions, including next-generation serving infrastructure, and leveraging AI for content generation and ad serving decisions. Experience with full-stack development, software design, and integrating generative AI tools is required. | ServeAgent | 5 |
| Product Manager I, YouTube Growth Platform Product Manager for YouTube's Growth Platform, focusing on a self-service campaign management system to drive product growth and discovery. The role involves defining the roadmap, partnering with engineering and marketing, and exploring the use of generative AI for campaign ideation. | — | 5 |
| Customer Engineer, Google Cloud Platform, SMB (English, Japanese) This role is for a Customer Engineer on Google Cloud Platform, focusing on SMB clients in Tokyo. The primary responsibilities involve technical problem-solving, supporting sales, and building customer relationships. While the role requires experience with data and AI, including generative AI and agentic AI solutions, its core function is not to build or ship AI models but to leverage Google Cloud's offerings, including AI capabilities, to solve customer business problems. | — | 5 |
| Fullstack Web Developer Google is seeking a Fullstack Web Developer to work on the Chat Platform, contributing to the development of AI-powered productivity tools. The role involves end-to-end development across backend and client platforms, collaborating with product leads and UX, and working with AI model builders to shape the future of productivity tools. | — | 5 |
| Junior Marketing Manager, Google UKDEEP, Strategy and Operations (Fixed-Term Contract) This role is for a Junior Marketing Manager at Google UKDEEP, focusing on Strategy and Operations. The position involves understanding the UK market, supporting marketing campaigns, managing budgets, and defining success metrics. The role requires experience working with AI tools and a passion for Google's AI products. | — | 5 |
| Senior Software Engineer, Payments Data Platform This role focuses on building and evolving the core data infrastructure and tooling for Google's Payments Data Platform (GDP). The platform supports advanced analytics, AI personalization, and agentic experiences, aiming to unlock the potential of Payments data for reliable, compliant, and scalable data infrastructure. The engineer will design and implement data pipelines, own technical areas, and drive technical strategy for data management. | Data | 5 |
| Financial Analyst, Generative AI This role focuses on the financial analysis and strategic decision-making related to Generative AI technologies within Google's Search and K&I organization. The Financial Analyst will lead financial evaluations, build financial models, provide guidance on partnerships and remuneration structures, and quantify the financial impact of GAI products like AI Overviews and AI Mode. The role requires collaboration with cross-functional teams and involves managing resource allocations for evolving AI products. | — | 5 |
| Senior Strategist, Scams and Verification Trust and Safety Senior Strategist role focused on protecting users from offline scams by using data, applied AI, and machine learning to optimize human review, identify enforcement gaps, and develop automation opportunities. The role involves collaborating with engineers to develop algorithms and solve quality issues end-to-end, with a focus on driving projects that increase user safety and provide a better online experience through Google Ads. | Agent | 5 |
| Data Scientist, GenAI Strategy and Operations, DeepMind This role focuses on strategy and operations for a GenAI team, using data science and analytical methods to define metrics, build dashboards, and advise leadership. While the team works on GenAI, the role itself is not directly building or shipping AI models but rather supporting the operational aspects. | — | 5 |
| Ads Solutions Engineering Manager, gTech Lead a team of Customer and Partner Solutions Engineers to develop and scale advertising solutions for customers, focusing on technical implementation, optimization, and engineering solutions. Provide thought leadership and develop new AI solution offerings, driving automation and integration with AI for complex workflows. | — | 5 |
| Android Application Engineer, Google Fi This role is for an Android Application Engineer at Google Fi Wireless. The engineer will be responsible for architecting core features, enhancing functionality for millions of users, and leading junior engineers. While the team applies Google's AI to solve problems and offers opportunities to build applied AI skillsets, the core responsibilities of this role are focused on Android application development, telephony expertise, and optimizing release management, rather than directly building or researching AI models. | — | 5 |
| Graphics/Machine Learning Hardware IP Silicon Architect This role focuses on architecting and integrating custom silicon solutions for Google's consumer products, specifically targeting hardware IP for Graphics, Multimedia, and Machine Learning acceleration. The individual will collaborate with software and hardware teams to define and deliver ASIC IP architectures that meet power, performance, and area targets, from initial design through to product launch. Experience with low-power ASIC hardware IP for complex SoCs, particularly in Graphics Processing and Machine Learning Acceleration, is preferred. | Serve | 5 |
| Technical Program Manager III, Executive Communications, Cloud AI Technical Program Manager for Google Cloud's AI resource governance team, focusing on communication and strategic alignment for AI product compute allocation across Google's AI ecosystem. | — | 5 |
| Customer Engineer, Cloud AI, Financial Services, Google Cloud Customer Engineer specializing in Cloud AI for the Financial Services industry. This role partners with technical sales teams to accelerate customer adoption of Google Cloud AI solutions. Responsibilities include developing prototypes, proofs-of-concept, and demos, providing technical consultation, and acting as a liaison between customers and product/engineering teams to address feature requests and issues. The role requires strong customer-facing and technical sales skills, with a focus on understanding customer needs and demonstrating the value of Google Cloud's AI portfolio. | — | 5 |
| Software Engineer II, External API Security Software Engineer II focused on External API Security at Google, developing and improving AI-assisted vulnerability scanning systems and automated checkers. The role involves collaborating with core infrastructure and product teams to establish secure-by-default API deployment architectures and reduce risk, as well as developing infrastructure for security policy enforcement and monitoring. Experience with agent-based AI systems is preferred. | Agent | 5 |
| Staff Research Data Scientist, Search Ads GenAI Staff Data Scientist role focused on Generative AI (GenAI) projects within the Search Ads organization, specifically on the AI mode surface. The role involves guiding product development and executive decisions using data science, experiment design, and data analysis to measure impact, identify growth opportunities, and understand trade-offs. The primary focus is on driving long-term value for Google's business through AI-driven product improvements in ads. | Ship | 5 |
| Software Engineer II, Infrastructure Software Engineer II, Infrastructure role focused on building and maintaining Kueue, a Kubernetes scheduler for AI/ML workloads, managing accelerators like TPUs and GPUs. The role involves algorithm design, system performance, and Kubernetes internals, collaborating with internal and external AI partners and the open-source community. | Serve | 5 |
| Senior Research Data Scientist, Ads Insights and Measurement This role focuses on applying quantitative methods, including machine learning and causal inference, to analyze and improve Google's advertising products. The primary goal is to understand advertising effectiveness, user behavior, and campaign performance at scale, translating data-driven insights into deployed products. | — | 5 |
