Currently tracking 514 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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 607 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), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), 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 (388 roles), India (50 roles), Singapore (43 roles), Poland (23 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 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| 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. It involves analyzing AI products, conducting threat modeling, and researching new security threats within AI technologies, while also leveraging AI tools for daily tasks. | — | 5 |
| Staff Software Engineer, Git Development Suite Google is seeking a Staff Software Engineer for the Git Development Suite team, focused on enhancing the Git ecosystem for Google's developers. The role involves providing technical leadership, architecting scalable features for Git-based supply chain infrastructure, and influencing engineering teams. A key aspect is integrating generative AI tools or LLM interfaces into developer workflows, aiming to improve the overall developer experience within Google's large-scale environment. | — | 5 |
| Partner Solution Architect, Regional System Integrators Partner Solution Architect for Google Cloud, focusing on AI, data, or infrastructure solutions for regional systems integrators. The role involves pre-sales architectural support, driving bootcamps, hackathons, and technical sessions to enable partners and accelerate business cycles. The goal is to ensure high-quality, on-time delivery of solutions and secure partner ROI, while deflecting post-sales delivery. |
| — |
| 5 |
| Partner Solution Architect, Regional System Integrators Partner Solution Architect for Google Cloud Platform, focusing on AI, data, and infrastructure solutions for regional systems integrators. This role involves pre-sales architectural support, driving partner technical capabilities, and contributing to joint business plans. The primary focus is on enabling partners to deliver solutions to customers, rather than direct AI model development. | — | 5 |
| Software Engineer, External API Security This role focuses on securing Google's external API boundaries by developing AI-assisted security scanning systems, driving remediation campaigns, and collaborating with product teams to establish secure-by-default architectures. The engineer will build and maintain infrastructure for security policy enforcement and analyze authorization bypass patterns, potentially evaluating agent-based AI systems. | Agent | 5 |
| Senior UX Designer, AI Governance, Workspace This role is for a Senior UX Designer focused on AI Governance within Google Workspace. The designer will lead the creation of user experiences for enterprise controls related to AI deployment, agentic behavior guardrails, attribution management, and data security/compliance. The goal is to build trust, security, and reliability in AI systems for large organizations. While the role interacts with AI capabilities and model builders, the core craft is UX design, not AI/ML model development. | — | 5 |
| Group Product Manager, Google Play This role is for a Group Product Manager on the Google Play Games team, focusing on building new experiences for gamers. The role involves leading cross-functional teams from concept to launch, defining product strategy, and leveraging AI infrastructure to drive growth and innovation within the gaming platform. The position emphasizes rapid prototyping, testing, and launching new features, with a focus on scaling global consumer products. | — | 5 |
| Senior Product Manager, Google AI Subscription and Monetization Product Manager for Google AI subscriptions, focused on increasing subscriber growth and revenue by integrating AI features across Google products and identifying monetization strategies. This role involves roadmap development, cross-functional collaboration, and go-to-market strategies for Google One's AI features and cloud storage. | — | 5 |
| Staff Software Engineer, Shopping Product Graph Staff Software Engineer at Google working on the Shopping Product Graph, focusing on building large-scale software solutions and integrating Generative AI tools or LLM interfaces into workflows. The role involves technical leadership, influencing and coaching teams, managing project priorities, and designing, developing, testing, deploying, maintaining, and enhancing software solutions. The position is within the consumer domain and is considered mature. | — | 5 |
| Special Initiatives Manager, Leadership Support Services This role focuses on operational management and security initiatives within Google's Leadership Support Services. While it leverages AI-driven tools and advanced analytics to synthesize data, inform stakeholders, and automate workflows, the core function is not the direct development or research of AI models. The role involves integrating AI initiatives into executive protection and support, managing crisis activations, and driving operational effectiveness through data insights and process standardization. The primary output is enhanced operational security and support, not AI models themselves. | — | 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 defining business metrics, performing market analysis, and facilitating business reviews. The focus is on empowering customers with AI and infrastructure capabilities at scale. | — | 5 |
| Staff Motion Designer, Android + Pixel UX Staff Motion Designer for Android + Pixel UX, focusing on creating fluid, natural, and informative product experiences. This role involves collaborating with cross-functional teams, defining motion design language, and leveraging AI tools for prototyping. Requires 8 years of UX experience, including Generative AI and animation. | — | 5 |
| Customer Engineer, Generative AI (English, Portuguese) Customer Engineer role focused on Generative AI solutions for enterprise clients on Google Cloud. Responsibilities include technical advisory, solution design, proof-of-concepts, and guiding customers in adopting agentic AI systems. Requires experience with cloud-native architecture, programming languages, and agentic AI frameworks. | — | 5 |
| Software Engineer Manager, Cloud Observability Google Cloud Observability is seeking a Software Engineer Manager to lead the Cloud Metrics Platform team. This role involves managing engineers, setting team priorities, developing technical roadmaps, and guiding system designs. The team provides essential public-facing APIs for cloud monitoring, enabling customers to gain insights into system health, generate alerts, and maximize availability for enterprise applications and AI workloads. | — | 5 |
| UX Research Manager, AI Mode Lead and mentor a team of UX researchers focused on understanding user needs and behaviors for AI-powered search features, influencing product strategy and ensuring user-centered development. | — | 5 |
| Staff Software Engineer, Server Foundations Staff Software Engineer for Google's Core team, focusing on building the technical foundation for flagship products. The role involves providing technical leadership, designing and implementing internal development platforms, and managing the lifecycle of complex multi-tier applications. Experience integrating generative AI tools and LLM interfaces into workflows is required, with preferred experience in Platform as a Service or AI Platform. | — | 5 |
| Customer Engineer, AI, Google Cloud (Korean, English) Customer Engineer for Gemini Enterprise, focusing on integrating Generative AI into enterprise environments on Google Cloud. This role involves partnering with technical sales, architecting secure and data-connected solutions, and acting as a technical authority to drive adoption and prove the value of Google Cloud's AI portfolio. | — | 5 |
| Software Engineer III, Ads Campaign Automation (Mandarin) Software Engineer III role focused on Ads Campaign Automation, involving large-scale experiments for Ads serving, bidding models, and retrieval systems. Requires strong software development skills, data-driven approaches, and collaboration with cross-functional teams. Familiarity with GenAI concepts is preferred. | Serve | 5 |
| Software Engineer II, Engineering Productivity Software Engineer II, Engineering Productivity at Google, focusing on developing and maintaining classifiers for trust policies in search products, supporting trust and safety teams, and integrating with various services. The role requires experience with software development, data structures, algorithms, building developer tools, and using AutoML for NLP tasks, with a preference for familiarity with data pipelines and LLM development. | Ship | 5 |
| Ads Solutions Engineer, gTech This role focuses on building and scaling technical solutions for Google's advertising clients, leveraging emerging technologies and engineering skills to automate workflows, adapt existing solutions, and drive customer growth. The role involves a technical relationship with clients, cross-functional collaboration, and owning the solution lifecycle from discovery to maintenance. | Ship | 5 |
| Technical Program Manager, AI Technical Program Manager at Google, focusing on the Core team that builds the technical foundation for Google's flagship products. This role involves leading complex, cross-functional engineering efforts, particularly those involving AI/ML software development projects, using Agile methodologies. The TPM will be responsible for planning, execution, stakeholder management, and driving programs from start to finish, ensuring alignment with key success metrics and impacting technical decisions across the company. | — | 5 |
| Software Engineer, Ads Campaign Automation (Mandarin) Software Engineer role focused on Ads Campaign Automation, involving large-scale experiments for ads serving, bidding models, and retrieval systems. Requires experience with ads buying platforms, campaign automation, optimization, and performance diagnosis within the ads ecosystem. Fluency in Mandarin is essential for regional collaboration. | Serve | 5 |
| Software Engineer, TPU Host Networking Software Engineer role focused on the TPU Host Networking stack, enabling large-scale training and low-latency inference for ML workloads. Responsibilities include designing, developing, testing, and debugging the networking stack from hardware to ML frameworks, and optimizing performance. Requires C++ and networking protocols experience. | — | 5 |
| Staff Software Engineer/Tech Lead, ML Network Infrastructure Staff Software Engineer/Tech Lead for ML Network Infrastructure at Google. This role focuses on setting technical strategy and architecting/building software for distributed services and components that power Google's ML network infrastructure. The team aims to redefine AI and Infrastructure at scale, supporting Google's AI models and global services. The role involves leading technical strategy, designing and implementing agentic SDLC leveraging LLMs, driving development from requirements to deployment, collaborating across teams, and mentoring engineers. | — | 5 |
| Engineering Director, Data Center Hardware Lead the engineering strategy and execution for next-generation data center hardware, including ASICs, TPUs, GPUs, and networking, for hyperscale deployment. Drive products from concept to high-volume manufacturing, managing external partners and ensuring system-level performance and reliability. | — | 5 |
| Web Solutions Engineer, Technology and Insights Partnership Systems YouTube This role involves designing, building, and deploying scalable web applications and back-end services for YouTube's content partner ecosystem. A key responsibility is integrating AI/ML technologies into business platforms to enhance operational capacity and provide conversational analytics. The role requires modernizing legacy systems, managing data pipelines, and collaborating with stakeholders to translate business needs into engineering solutions. Experience with full-stack development, system design, and AI/ML technologies like LLMs, vector embeddings, RAG, and agentic AI is preferred. | Agent | 5 |
| Customer Engineer Associate, Platform, Google Cloud Customer Engineer Associate for Google Cloud, focusing on enterprise AI solutions. This role involves partnering with technical sales teams to understand customer business challenges, architect cross-pillar cloud solutions, conduct proofs of concept, and drive technical wins. The role requires a blend of technical expertise, sales acumen, and communication skills to demonstrate the value of Google Cloud's AI innovations to customers. | — | 5 |
| Web Solution Engineer, GCS Engineering, gTech This role focuses on providing generative AI solutions for internal sellers and delivering scalable tools and platforms to large advertisers, agencies, and partners within the Google Ads ecosystem. The engineer will drive scale, innovation, and automation efficiencies through technical implementation, optimization, and engineering solutions, working closely with Product Managers and Engineering teams. | Ship | 5 |
| Senior Software Engineer, Ads Campaign Automation (Mandarin) Senior Software Engineer role focused on Ads Campaign Automation, involving technical strategy, design, development, and optimization of ad serving, bidding models, and retrieval systems. The role also guides Generative AI solutions for asset generation and requires collaboration with regional partners. Experience with large-scale distributed systems and ads platforms is preferred. | Ship | 5 |
| Software Engineer III, Google Store Software Engineer III at Google Store, focusing on building AI-driven algorithms for customer lifecycle management, AI-enhanced site operations, and agentic AI shopping assistance. The role involves managing project priorities, designing, developing, testing, deploying, maintaining, and enhancing software solutions within the Google Store's omnichannel retail platform. Emphasis on applied AI skill development. | Agent | 5 |
| Technical Program Manager, Product Quality and Reliability Technical Program Manager for Product Quality and Reliability at Google, focusing on AI and ML infrastructure. The role involves managing end-to-end quality for AI/ML new product introductions, defining program portfolios, establishing governance, leading cross-functional teams, and driving continuous improvement through data analysis and root cause investigations. The role supports the AI and Infrastructure team in delivering AI and infrastructure at scale. | — | 5 |
| Software Engineer III, Content Management System, YouTube Software Engineer III on the YouTube Content Management System team, responsible for designing, building, and maintaining systems that manage interactions between YouTube and media companies. The role involves architecting storage, indexing, and serving infrastructure for a global copyright database, and leading the integration of agentic tools for automating investigations. Domain expertise in the complex copyright landscape, influenced by Generative AI and regulatory changes, is a core requirement. | Agent | 5 |
| Pursuit AI Lead, Google Cloud This role is a customer-facing sales and strategy role focused on driving enterprise AI transformation using Google Cloud services. The individual will define AI transformation strategies, architect AI services, build proposals, and act as a trusted advisor to customers, partnering closely with sales leadership. While the role involves understanding and positioning AI capabilities, it does not involve direct AI/ML model development or research. | — | 5 |
| Engineering Analyst, Trust and Safety, YouTube This role focuses on using and improving LLMs for content moderation and abuse prevention on YouTube. Responsibilities include designing and refining prompts for LLMs, analyzing data to understand abuse impact, and driving anti-abuse experiments. The role requires experience in data analysis, project management, and programming languages like Python or SQL, with a preference for machine learning systems experience. | Agent | 5 |
| Live Solutions Consultant This role is a Live Solutions Consultant for YouTube, focusing on driving growth through technical expertise and stakeholder insights. Responsibilities include configuring stream encoders, mapping live signal chains, performing network readiness assessments, and developing automation solutions for event enhancement. The role requires experience with live broadcasts, streaming protocols, and digital video broadcasting, as well as experience with Generative AI tools and platforms. | — | 5 |
| AI Sales Specialist, Financial Services, Google Cloud AI Sales Specialist for Google Cloud's Financial Services sector, focusing on building customer relationships, demonstrating AI solutions (including Gemini and Vertex AI), and driving business growth. The role involves working with customers to deliver business value and identify new product opportunities leveraging AI. | — | 5 |
| AI Sales Specialist, Google Cloud The AI Sales Specialist will drive Google Cloud's AI business by building and expanding customer relationships, demonstrating product functionality, and identifying key business use cases. This role involves working with customers to build new products leveraging AI solutions, managing customer relationships, and developing Go-to-Market strategies. The specialist will act as a trusted advisor, deliver against sales quotas, and execute strategic account plans with a focus on responsible AI. | — | 5 |
| Product Lead, Gmail Life Management Product Lead for Gmail Life Management, focusing on integrating shopping journeys and AI features like AI Inbox and Summaries into Gmail to help users manage their lives. This role requires collaboration across various Google teams (Wallet, Shopping, Ads, DeepMind) and driving product definition from conception to launch. | — | 5 |
| Technical Program Manager, Antigravity (Data), DeepMind Technical Program Manager to own and lead critical data infrastructure initiatives for the Antigravity team, powering modeling flywheel, evaluation frameworks, and product telemetry. Requires technical depth in data engineering at scale, familiarity with data use cases for an agentic product, and collaboration with research and engineering teams. | — | 5 |
| Software Engineer III, Engineering Productivity, Tools and Infra Software Engineer III on the Crystalball team at Google, focused on building and improving tools for preventing performance regressions in the Android Platform. The role involves contributing to A/B benchmarking, metric visualization, alerting, bisection, and triage services. A key responsibility is integrating AI into workflows to reduce latency and save costs related to performance bugs. | Agent | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application, integrating Google technology across the stack, and driving innovation in mobile offerings for enterprise users. The role involves end-to-end application development, backend integration, and refinement of mobile features, with a focus on Gen AI and AI Chatbots. | Ship | 5 |
| Technical Lead, AI/ML Infrastructure This role focuses on building and delivering specialized AI compute platforms and infrastructure at Google, ensuring high availability for massive-scale AI workloads. It involves designing and integrating custom compute topologies with schedulers like Kubernetes, establishing observability, and collaborating with hardware teams. The role requires extensive experience in large-scale infrastructure, distributed systems, and software development. | — | 5 |
| Digital Execution Lead, Digital Delivery for Construction Execution, Google Data Centers This role focuses on designing, developing, and optimizing end-to-end data pipelines and architectures within Google Data Centers. The Digital Execution Lead will ensure data integrity, security, and performance by building scalable ETL/ELT workflows, maintaining cloud data warehouses, and implementing data governance protocols. The role involves collaborating with cross-functional teams to enable advanced analytics and machine learning capabilities through reliable data infrastructure, and managing complex data dependencies using workflow orchestration tools. | — | 5 |
| Software Engineer III, Business Mobile App, Google Pay Software Engineer III for Google Pay's Business Mobile App, focusing on empowering SMBs with digital presence and growth tools. The role involves designing, developing, and maintaining mobile software using Flutter, collaborating with cross-functional teams, and leveraging AI tools to enhance development workflows. The team uses AI in daily work for development and to ensure complex technology is simple for merchants. | — | 5 |
| Partner Lead, Third Party Creative Tech Partner Lead for Third Party Creative Tech at Google, focusing on managing relationships with creative tech and production entities to drive adoption of Google Ads APIs and YouTube best practices. The role involves strategic planning, execution of joint business plans, and acting as a liaison between partners and various Google organizations. Success is measured by partnership maturity and integration of Google solutions to enhance creative quality for advertisers. The role also involves driving adoption of Generative AI and partner tools, identifying upselling opportunities, and contributing to product roadmaps. | — | 5 |
| Staff Interaction Designer, Google Vids Staff Interaction Designer for Google Vids, an AI-powered video tool for Workspace. The role involves crafting user experiences for generative video and recording journeys, translating ambiguous problems into roadmaps, and partnering with Product and Engineering. Focus on user-centered design, integrating AI capabilities into intuitive products. | Ship | 5 |
| RTL Engineer III, Silicon Cloud This role involves designing and developing custom silicon solutions (ASICs) to accelerate machine learning computation in data centers. The engineer will collaborate with various teams to specify and deliver quality designs for next-generation data center accelerators, focusing on micro-architecture, performance, power, and complexity. | — | 5 |
| Customer Engineer, SLED, New England Google Public Sector Customer Engineer for Google Public Sector, focusing on helping state and local government and educational institutions with their digital transformation using Google Cloud. Responsibilities include partnering with technical sales teams, understanding customer requirements, developing cloud solutions, and troubleshooting technical issues related to database migrations and the data lifecycle. The role involves building go-to-market solutions with partners, owning the technical relationship, and providing best practice advice on integration strategies and enterprise architectures. Minimum qualifications include a Bachelor's degree, 10 years of cloud native architecture experience in a customer-facing role, and experience presenting to technical stakeholders. Preferred qualifications include experience with public sector clients, application migration to cloud platforms, security concepts, networking concepts, and creating demos using generative AI tools. | — | 5 |
| Senior Silicon Design Verification Engineer, Cloud Silicon This role focuses on the verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), which are designed to handle Artificial Intelligence/Machine Learning (AI/ML) workloads. The engineer will be responsible for the full verification life-cycle, including planning, test execution, and coverage closure, ensuring the reliability and performance of these AI/ML-focused hardware components. While the role involves AI/ML workloads and accelerators, the core craft is silicon design verification, not the direct development or research of AI models themselves. | — | 5 |
| Software Engineer III, Cloud Bigtable SQL and Analytics Software Engineer to help build the next generation of Google Cloud's Feature Store, transforming it into an Agentic Data Cloud Feature Store. This role involves designing and implementing core "SQL for ML" capabilities like continuous materialized views, real-time counters, and vector search (ANN) to enable modern agentic application development. The position requires building high-performance, scalable, and reliable distributed systems and includes participation in a production on-call rotation. | AgentServe | 5 |