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 |
|---|---|---|
| Senior Software Engineer, Flume ML Senior Software Engineer to advance the schedulability and autotuning capabilities of a planet-scale data processing infrastructure product that powers foundational AI/ML features for YouTube and Search, and next-generation AI initiatives. The role involves designing, developing, and maintaining large-scale software solutions, addressing complex technical challenges, and working with mission-critical customers on schedulability challenges. | — | 5 |
| Software Engineer, Google Distributed Cloud Software Engineer role focused on building the software for Google Distributed Cloud (GDC) Connected Identity Verification Service (IDVS). The role involves designing and implementing components for a rack designer validation suite, including rack design, elevations, BOMs, cables, and devices. It also requires building data pipelines for AIOps to enable automated decision-making using system telemetry, and participating in on-call rotations for production issue resolution. The role emphasizes partnering with other engineering teams to improve global infrastructure reliability and problem-solving. |
| 5 |
| UX Research Manager, AI Mode UX Research Manager for AI Mode in Google Search, focusing on understanding user needs and behaviors with AI-powered search results. The role involves leading a team of researchers to inform the development of AI features and ensure user-centricity in the product development process. | — | 5 |
| Senior Program Manager, Safety, Alignment, and Collaboration, DeepMind Senior Program Manager to support the VP of Safety and Alignment at DeepMind, focusing on developing, deploying, and researching safe AGI. This role bridges high-level strategy with operational execution, managing core day-to-day operations, planning processes, and distilling critical priorities. The role requires managing complex stakeholder relationships and connecting cross-functional teams to drive impactful outcomes in a fast-paced, ambiguous environment. | — | 5 |
| Engineering Analyst, Trust and Safety, Egregious Harms This role focuses on identifying and combating egregious online harms across Google products by leveraging technical acumen and data analysis. The analyst will partner with Product, Engineering, Policy, and Legal teams to design and develop solutions for detecting and enforcing against abuse. Key responsibilities include performing data analyses, identifying improvements for detection and enforcement systems, leading projects, and analyzing the performance of technical models like ML systems and LLMs. | Ship | 5 |
| Generative Media AI Lead, EMEA This role leads EMEA sales pursuits for Generative Media (GenMedia) within Google Cloud. The individual will bridge GTM strategy and sales execution, manage a sales team to acquire new customers and generate revenue, and transform C-suite perception of GenMedia. The role requires experience in GTM/Sales, executive-level presentations, and business development in AI or creative technology, with a preference for experience in creative agency operations or media production and understanding of AI/ML in media. | — | 5 |
| Product Lead, YouTube Business Technology Product Lead for YouTube Support Systems, focusing on applying AI/ML to optimize support operations and scale innovations. This role involves bridging Product, Operations, and Engineering, managing the operational framework for AI initiatives, and crafting a unified platform strategy. | Agent | 5 |
| Research Scientist, System Qubit Calibration, Benchmarking, Modeling, Quantum Research Scientist role focused on quantum computing, specifically system qubit calibration, benchmarking, and modeling, with a strong emphasis on software development and collaboration. The role involves working at the intersection of quantum computing, software, and machine learning to develop protocols and software for controlling and stabilizing quantum processors. | Data | 5 |
| Gemini Enterprise Customer Experience Sales Specialist, Google Cloud Sales Specialist role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying use cases for AI solutions, including Gemini models and the Vertex AI platform. The role involves working with customers to deliver business value and helping them build new products leveraging AI. | — | 5 |
| User Experience Researcher, DeepMind UX Researcher for Google DeepMind's AI products, focusing on early-stage (0 to 1) product development. Responsibilities include designing and executing research studies, understanding user needs for new AI technologies, and influencing product strategy. The role requires comfort with ambiguity and rapid evolution in the AI space. | — | 5 |
| Senior Strategic Partnerships Development Manager, Data for Gemini This role focuses on strategic partnerships for acquiring third-party data to power foundational AI models like Gemini. The responsibilities include understanding AI research needs, identifying and evaluating data partners (especially in the media sector), negotiating agreements, and managing relationships to ensure a pipeline of data assets aligned with AI model priorities. | — | 5 |
| Strategic Partnerships Development Manager, Data for Gemini This role focuses on strategic sourcing and negotiation of third-party data partnerships to power foundational AI models like Gemini. The manager will translate research needs into data acquisition strategies, build and manage a pipeline of data assets, and lead negotiations for partnership agreements, ensuring alignment with AI model development priorities. | — | 5 |
| Agentic Workplace Transformation Practice Lead This role is a Go-To-Market (GTM) Practice Lead for Agentic Workplace Transformation (AWT) in the Asia-Pacific (APAC) region for Google Cloud. The primary focus is on driving the regional strategy to combine Gemini Enterprise and Google Workspace, enabling field promoters and partners to drive the Google Cloud Agentic offer. The role involves designing and implementing programmatic mechanisms, leading regional application of the AWT Specialty plan, guiding customers toward agentic workflows, and analyzing KPIs. | — | 5 |
| Senior Software Engineer, Augmented Reality, Systems Performance Senior Software Engineer role focused on systems performance for AR/VR glasses, involving optimization, power saving, and defining quality metrics. The role touches on AI/ML for perception models and the convergence of AI and XR, but the core craft is systems performance engineering. | — | 5 |
| Engineering Manager, Search Platforms Google is seeking an Engineering Manager for Search Platforms in Bengaluru, India. This role involves technical leadership, team management, and contributing to product strategy for large-scale projects in areas like information retrieval, AI, and NLP. The manager will set team priorities, develop roadmaps, guide system designs, and oversee code reviews, focusing on optimizing user-visible search latency and ensuring performant, reliable execution of search products. | — | 5 |
| Software Engineer III, BigQuery Software Engineer III for Google Cloud's BigQuery, focusing on enabling data science, data engineering, and AI/ML workflows at scale. The role involves feature design, development, deployment, monitoring, and customer support for BigQuery's capabilities, including running LLMs and creating ML models on large datasets. | — | 5 |
| Site Reliability Manager, Shopping SRE Manage a team of Software/Systems Engineers focused on Site Reliability Engineering for AI-powered systems within the Google Shopping domain. The role involves ensuring the scalability, reliability, and performance of AI-driven infrastructure, with a focus on automation and end-to-end service availability. | Serve | 5 |
| Software Engineering Manager, Search AI Security Platforms Manage a team of engineers to build and maintain privacy-focused software infrastructure for Google Search, ensuring compliance with user data handling regulations and developing proactive privacy enhancements. The role involves technical leadership, project management, and cross-functional collaboration to mitigate privacy risks and improve user experience. | — | 5 |
| GECX Sales Specialist, US West, 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 and product teams to drive adoption of Google Cloud AI solutions for customer experience. | — | 5 |
| GECX Sales Specialist, US North, 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 sector. This role involves partnering with internal sales teams and customers to leverage Google Cloud AI solutions for customer experience transformation. | — | 5 |
| GECX Sales Specialist, Travel and Hospitality, Google Cloud Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building relationships with new and existing customers, identifying AI use cases, and driving business growth. This role involves partnering with internal sales teams and customers to leverage Google Cloud's AI products and solutions for customer experience transformation. | — | 5 |
| Gemini Enterprise for Customer Experience Sales Specialist, FSI, Cloud Sales Specialist for Gemini Enterprise for Customer Experience, focusing on growing the business by building relationships with new and existing customers, partnering with internal teams, and assisting customers in identifying AI use cases for Google Cloud AI products and solutions. | — | 5 |
| GECX Sales Specialist, Power and Energy, Google Cloud Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building and expanding relationships with new and existing customers. The role involves partnering with internal sales teams and product teams to help customers build new products leveraging AI. | — | 5 |
| Senior Business and Marketing Data Scientist This role focuses on applying data science and advanced analytics to solve business and marketing challenges within Google. The Senior Business and Marketing Data Scientist will be responsible for translating business problems into analytical solutions, improving data pipelines, developing evaluation metrics, and building statistical models. The role involves partnering with internal teams, developing customer-centric strategies, and creating evaluation frameworks for models and metrics. While the role uses data science and machine learning techniques, its primary focus is on business and marketing outcomes rather than core AI/ML development. | — | 5 |
| Platforms Analytical Lead This role is a Platforms Analytical Lead at Google, focusing on leveraging the Google Marketing Platform (GMP) to drive business growth for major clients and agencies. The role involves partnering with sales teams, using advanced analytics, measurement, and testing to provide data-driven insights and recommendations. While the role mentions "AI-era" and "Generative AI" in the context of using AI tools and techniques for analysis and automation, the core function is not building AI models but rather applying analytical expertise to advertising and marketing solutions. | — | 5 |
| Senior Director, Outbound Product Management, Gen AI This role is for a Senior Director of Outbound Product Management focused on Generative AI within Google Cloud's Business Platform. The mission is to drive scaling for the Google Cloud business and accelerate digital transformation for organizations by pioneering a Gen AI-first strategy. The role involves crafting the external AI story, guiding the team to build innovative solutions, and creating a reference architecture for enterprise Gen AI adoption. While the role requires technical expertise in AI/ML and Generative AI, its core function is product management and strategy, not direct AI model development or research. | — | 5 |
| AI Sales Specialist, Google Cloud Sales Specialist role focused on growing Google Cloud's AI business by building customer relationships, identifying AI use cases, and demonstrating product functionality. The role involves working with customers to deliver business value and build new products leveraging AI solutions, while collaborating with cross-functional teams and adhering to a responsible AI framework. | — | 5 |
| Senior GPU Software Engineer, Embedded System, AI Infrastructure This role focuses on designing, developing, and maintaining the system software stack for GPUs used in AI infrastructure within Google's data centers. The engineer will provide technical leadership, drive software development plans, and guide system software integration for next-generation GPU accelerators. While the role supports AI infrastructure, the core craft is in GPU system software engineering, not direct AI/ML model development. | — | 5 |
| Staff Software Developer, Android XR System Apps Staff Software Developer for Android XR System Apps at Google, focusing on next-generation UI for XR glasses. 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 |
| Partner Engineer, YouTube, UKI Partner Engineer for YouTube, focusing on technical partnerships with content creators. The role involves developing product solutions, identifying and applying AI/ML use cases to improve partner operations and internal workflows, and ensuring technical integrity of partner integrations. Requires experience with client-side web technologies, coding, data pipelines, and preferred experience with Generative AI tools. | Agent | 5 |
| Senior Technical Program Manager, AI Data This role is for a Senior Technical Program Manager focused on AI data, managing complex projects related to data for AI models. The responsibilities include driving program outcomes, optimizing operational processes, developing tracking frameworks, and utilizing data analysis for improvements. The role requires experience with data structures or ML algorithms, and familiarity with AI/ML lifecycles and data labeling. | DataPost-train | 5 |
| Senior Visual Designer Senior Visual Designer for the Gemini in Chrome team, focused on defining the visual language for a new, agentic web experience that integrates AI natively into the browser. The role involves crafting user interfaces for billions of users interacting with AI, from conversational interfaces to autonomous agents, and pioneering the future of human-computer interaction within the browser. | — | 5 |
| Associate Principal Analyst, Scams and Verification, Trust and Safety This role focuses on protecting users from offline scams by using data to provide recommendations and devise solutions. It involves applying AI/ML techniques to optimize human review, identify enforcement gaps, and drive automation opportunities. The role collaborates with engineers to develop algorithms and solve quality issues, analyzing large datasets to build predictive models and influence automated detection systems. Responsibilities include leading investigations into abuse vectors, identifying automation opportunities, and responding to adversarial incidents. | Agent | 5 |
| Platform Customer Engineer, Healthcare and Life Sciences, Google Cloud Customer Engineer for Google Cloud's Healthcare and Life Sciences sector, focusing on AI/ML solutions. This role involves partnering with technical sales teams to understand customer challenges, develop cloud solutions, conduct proofs-of-concept, and troubleshoot technical issues. The position requires experience with cloud-native architecture, ML model development and deployment, and customer-facing technical engagement. | — | 5 |
| Customer Engineer, Platform, Federal Healthcare, Google Public Sector Customer Engineer for Google Public Sector, focusing on Federal Healthcare. This role involves partnering with technical sales teams to understand customer needs, develop cloud solutions, conduct proofs-of-concept, and troubleshoot technical issues. The role requires expertise in cloud-native architecture, customer engagement, and experience with building custom Generative AI applications and migrating systems to the cloud. It is a customer-facing role with a focus on driving digital transformation for government institutions. | — | 5 |
| Customer Engineering, AI Customer Engineering role focused on architecting and selling Google Cloud AI solutions, including Gemini and Vertex AI, to enterprise clients. The role involves translating business needs into technical roadmaps, leading technical selling strategies, and driving product expansion by leveraging Google's AI stack. | — | 5 |
| Software Engineer, Gemini Enterprise Mobile, iOS Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application (iOS and Android) and its backend systems. The role involves contributing to all phases of the SDLC, driving innovation, and leveraging AI to enhance performance. While the product is AI-related (Gemini), the core craft of the role is mobile and backend engineering, not direct AI/ML model development. | — | 5 |
| Visual Designer, YouTube Design Systems, AI, Future Experiences Visual Designer for YouTube's AI-powered experiences, focusing on evolving the design system and creating intuitive interfaces for generative AI features. The role involves defining visual identity, creating high-fidelity assets, and ensuring accessibility and ease of navigation for AI-driven features. | Ship | 5 |
| Sales Operations Senior Associate This role is for a Sales Operations Senior Associate on the Global Business Consulting team at Google. The primary focus is on analyzing app and game product performance on the Google Play platform to identify growth opportunities. The role involves leveraging internal AI/ML tools for insights, creating strategic recommendations, and partnering with developers. While AI/ML tools are used, the core craft is not building AI models but rather applying insights to business strategy and product growth within the consumer domain. | — | 5 |
| Senior Product Engineer, Machine Learning Accelerators This role focuses on the engineering and manufacturing aspects of machine learning accelerators, specifically custom silicon solutions like TPUs. While it supports AI/ML capacity deployment and the development of ML systems, the core craft is in hardware engineering, supply chain, and manufacturing operations, not direct AI/ML model development or research. The role involves leading technology assessment, collaborating on product design and manufacturing risks, validating qualification plans, and supporting pre-production builds to ensure product quality and reliability at scale. | — | 5 |
| Software Engineer III, Full Stack, Colab Enterprise Software Engineer III role focused on enhancing Vertex AI Notebooks (Workbench, Colab Enterprise) and building foundational infrastructure for Generative AI agents. The role involves full-stack development, collaborating with cross-functional teams, and working with languages like Java, Golang, Typescript, or Python, with a background in cloud computing, distributed systems, or microservices. The team also works on research topics to maximize scientific and real-world impact in AI. | AgentServe | 5 |
| Enterprise Field Sales Representative, Manufacturing, Google Cloud (Italian) Sales role focused on driving digital transformation for manufacturing clients using Google Cloud solutions, including AI and machine learning, to achieve business outcomes like improved OEE and production visibility. The role requires experience in complex enterprise sales environments, managing the full business cycle, and building relationships with C-suite stakeholders. | — | 5 |
| Senior Technical Program Manager, ML Infrastructure Acceleration This role is for a Senior Technical Program Manager focused on ML Infrastructure Acceleration at Google. The individual will manage one of the world's largest Machine Learning fleets in the era of AI, ML, and Agents. Responsibilities include managing supply projections for GPU or TPU portfolios, communicating supply status and risks, evaluating acceleration options, and publishing system and tooling requirements to drive automation. The role requires strong program management skills, cross-functional collaboration, and executive-level communication, with a focus on scaling AI and infrastructure capabilities. | — | 5 |
| Technical Program Manager II, Business Intelligence, Devices and Services This role is for a Technical Program Manager II on the Data and Analytics Services team within Google's Devices and Services organization. The primary focus is on driving business intelligence initiatives, managing data pipelines, and overseeing the delivery of BI dashboards and reports. The role will also involve leveraging GenAI solutions to automate insights and accelerate data-driven decision-making. While the role uses GenAI tools, it does not appear to be directly building or shipping core AI/ML models or agents as its primary function. | — | 5 |
| Technical Program Manager II, Data Center Machine Learning Operations, Supply Chain This role is a Technical Program Manager focused on the operational aspects of machine learning infrastructure within Google's data centers, specifically concerning capacity planning, server floor deployment, and supply chain management. While the role deals with ML infrastructure, the core responsibilities are in program management, logistics, and operations rather than direct AI/ML model development or research. | — | 5 |
| Senior Software Engineer, Android, Chrome Identity Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. This role involves technical leadership, design, implementation, and launch of features used by billions of users. The engineer will also utilize AI tools to expedite software development practices and has experience with LLMs, NLP, or Generative AI. | — | 5 |
| AI Sales Specialist, Retail, Google Cloud (English, Portuguese) AI Sales Specialist for Google Cloud, focusing on the retail sector. This role involves building customer relationships, demonstrating AI product functionality, identifying use cases, and driving business growth by selling Google's AI solutions. The specialist will work with cross-functional teams and customers to develop go-to-market strategies and close agreements, ensuring responsible AI practices. | — | 5 |
| Software Engineering Manager, Continuous Integration and Release, GitEcosystem This role is for a Software Engineering Manager leading the Continuous Integration and Release (CI&R) team within the Git ecosystem at Google. The team is responsible for CI/CD and artifact management infrastructure, aiming to transform how Google engineers develop software. The manager will set strategy, lead a team, and drive technical direction, with a focus on CI/CD, Git, software supply chain security, and infusing AI/ML to enhance developer velocity and product quality. | — | 5 |
| Product Manager II, Camera and Photos, XR Apps Product Manager for Camera and Photos XR Apps, focusing on leading first-person capture and media experiences across Google’s XR devices. The role involves defining how users capture, relive, and share their world through heads-up and hands-free interactions, and building core applications that define user value for XR devices. It emphasizes the convergence of AI and XR to augment human intelligence and create personalized, contextually aware experiences. | Ship | 5 |
| AI Partner Development Manager, Google Cloud (Portuguese, English) Develop and scale Google Cloud's AI partner ecosystem in Brazil by identifying, enabling, and collaborating with AI-focused partners on go-to-market strategies, particularly for Gemini enterprise. This role requires strong partner management, business development, and knowledge of the Brazilian enterprise market and AI/ML technologies. | — | 5 |
