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 498 active AI roles, with 1186 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). 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 (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Senior AI Marketing Producer, Media AI Lab This role is for a Senior AI Marketing Producer within Google's Media AI Lab. The primary focus is on managing creative operations for Search campaigns, establishing efficient processes, and ensuring the progressive usage of AI in marketing. The role involves translating marketing needs into production plans, leading the production cycle for various assets, and acting as an early tester for new agentic workflows. While the role interacts with AI technologies and tests new workflows, its core function is in marketing operations and creative production, not in building or researching AI models themselves. | — | 5 |
| Model UX Designer This role is for an Interaction Designer focused on AI initiatives within Google's Ads Privacy and Safety UX team. The designer will translate complex AI concepts like foundational models and agentic workflows into intuitive user interfaces and experiences for Google developers. They will use AI tools and prompt engineering in their daily workflow to accelerate prototyping and discover new ways of working, focusing on crafting user journeys, wireframes, and interactive prototypes for novel AI interactions such as chat interfaces and autonomous agent hand-offs. Collaboration with Engineers, Product Managers, and Research Scientists is key. |
| Agent |
| 5 |
| Senior Visual Designer Senior Visual Designer for the Gemini in Chrome team, focused on defining the visual language for AI-powered features within the Chrome browser. This role involves designing adaptive interfaces for generative AI outputs, communicating AI states visually, and creating user trust through micro-interactions. The designer will collaborate with engineering and product management to pioneer the next decade of human-computer interaction. | — | 5 |
| Senior UX Engineer, Ads Privacy and Safety This role is for a Senior UX Engineer on an AI-forward team focused on Ads Privacy and Safety. The engineer will bridge design and AI capabilities, prototyping and developing AI-driven interfaces and architecting frameworks to translate ML models into user-friendly tools. The role emphasizes user-centric design and aims to redefine workflows with AI. | — | 5 |
| Senior Staff Software Engineer, Search Ads, Quality, Backend Senior Staff Software Engineer for Google's Search Ads Quality Backend team, focusing on local search ads. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions at the intersection of data, information retrieval, ML, and infrastructure to improve user experience and drive business growth. | — | 5 |
| Staff Developer Relations Engineer, Cloud and Generative AI Google is seeking a Staff Developer Relations Engineer for Cloud and Generative AI. This role involves fostering a community of developers working with Google technologies, advocating for their needs internally, and providing technical enablement. The engineer will collaborate with cross-functional teams, attend events, lead developer programs, and contribute feedback on products. The role supports democratizing AI and cloud innovation across the Americas. | — | 5 |
| Senior Compliance Analyst, Public Sector This role is for a Senior Compliance Analyst in Google Public Sector, focusing on modernizing compliance operations by integrating generative AI to automate risk management workflows. The role involves leading cross-functional initiatives, building security architecture governance frameworks, and influencing global stakeholders to ensure compliance drives business growth. It requires experience with government compliance frameworks and leveraging AI tools for automation. | — | 5 |
| Technical Program Management Lead, AI Studio, DeepMind Lead a team of Technical Program Managers (TPMs) for Google's AI Studio and Gemini API, focusing on organizing research teams, enabling fast-paced progress, and ensuring the success of features and events. The role requires bridging cross-functional silos, accelerating developer feedback, and driving mission-critical AI-first architecture in a fast-paced, ambiguous, and scaling environment. | — | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure. This role is part of the AI and Infrastructure team, which empowers Google customers with AI and Infrastructure at scale. The team is responsible for Google's groundbreaking innovations, delivering computing power to global services, and providing platforms for developers. The role involves writing and testing product or system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree, 2 years of experience in C++, Go, or Python, and 2 years of experience in large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, and machine learning infrastructure. | — | 5 |
| Enforcement Detection Analyst, YouTube, Trust and Safety This role focuses on developing and implementing strategies to enforce YouTube policies at scale, leveraging Machine Learning and Large Language Models (LLMs) for abuse detection and mitigation. The analyst will collaborate with cross-functional teams, provide incident response, and design prompts for LLMs to improve content classification. | Agent | 5 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer within Google Cloud's Forward Deployed Engineering team. The primary focus is on bridging the gap between pre-sales and post-sales execution for strategic enterprise accounts, acting as an enterprise architect, technical debugger, and engineering liaison. The role involves shaping solutions for adoption and delivery, leading technical design, debugging complex issues, integrating AI models and agents into customer IT ecosystems, and translating field feedback into product improvements. The goal is to drive customer success and adoption of Google's AI portfolio, including Gemini models and Vertex AI. | — | 5 |
| Financial Analyst, Android Financial Analyst for Android, focusing on financial planning and analysis for partnerships, particularly with Samsung. The role involves creating financial insights, managing risk, and stewarding resources by unpacking complex business problems. It requires supporting new designs, monitoring performance, generating forecasts, providing executive snapshots, and building financial models and dashboards. The role explicitly mentions leveraging Google AI tools and Artificial Intelligence (AI) to optimize outputs and shape results, indicating an adjacent use of AI rather than direct development. | — | 5 |
| Software Engineer III, Google Play, Promotion Platform Software Engineer III at Google Play, focusing on the promotion platform and e-commerce experience. Responsibilities include designing and building backend services, optimizing workflows, developing marketing tools, and implementing AI-powered chatbot solutions for customer support. The role involves working with micro-services architecture and collaborating with cross-functional teams. | Agent | 5 |
| Senior Software Engineer, Full Stack, Stitch Google is seeking a Senior Software Engineer for the Stitch team, an AI tool that generates UI designs and front-end code from natural language and image inputs. The role involves full-stack development, writing and testing code, participating in design reviews, and debugging issues to improve the app creation workflow. | Ship | 5 |
| Staff Site Reliability Engineer, Cloud Reliability Intelligence Staff Site Reliability Engineer for Google Cloud's Reliability Intelligence team, focusing on building an evergreen intelligence platform. The role involves integrating Generative AI and LLM-driven workflows to move from reactive tracking to a predictive system for failure detection and automated risk mitigation. Responsibilities include owning the technical roadmap, designing scalable backend pipelines and UIs, and prototyping/productionizing LLM features for incident data parsing and reliability fixes. | Agent | 5 |
| Lead Technical Program Manager, Google Cloud Lead Technical Program Manager for Google Cloud's product vulnerability management, focusing on security programs in a rapidly evolving AI landscape. This role involves strategic leadership, risk mitigation, and cross-functional collaboration to ensure the security of GCP products against AI-driven threats. | — | 5 |
| Principal Virologist, Responsible Development and Innovation, DeepMind This role focuses on evaluating AI models for biological threats, integrating scientific insights into safety frameworks, and shaping biosecurity mitigation strategies. The Principal Virologist will partner with AI researchers and engineers to embed biosecurity protocols and conduct advanced biology evaluations against AI models. | — | 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 |
| 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 |
| 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 |
| AI GTM Sales Play Program Manager, Google Cloud Program Manager for Google Cloud's AI Go-To-Market (GTM) team, responsible for developing and maintaining sales plays and managing launches of AI products, models, and developer tools. The role involves coordinating cross-functional teams, managing project plans, ensuring timely delivery to the field, and driving the creation of enablement assets. While the role is within an AI-focused organization and involves AI products, the core function is program management and GTM strategy, not direct AI/ML model development or research. | — | 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Product Manager, Pixel Gaming Product Manager for Google Pixel Gaming, focusing on AI-powered gaming experiences and features on Pixel devices. This role involves driving strategy, influencing hardware and silicon, and collaborating with game developers to enhance mobile gaming on Pixel. | Ship | 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 |
| Product Manager Lead, Technical Intelligence, DeepMind Lead a team of analysts to provide insights on AI infrastructure, economics, and frontier innovation, guiding Alphabet's capital allocation, planning, and technical roadmaps. This role involves analyzing AI labs, hyperscalers, and supply chains to estimate compute capabilities and financial sustainability, delivering data-driven diligence for strategic decisions. | — | 5 |
| Staff UX Designer, Visual and Motion Design, Google Beam Staff UX Designer for Google Beam, an AI-first 3D video communication platform. The role involves designing new platform experiences, bridging aesthetics and movement, prototyping, and crafting narratives for 3D and AI products. Responsibilities include defining product strategy, creating concept reels and motion mockups, authoring a motion language, and resolving spatial design challenges. Requires experience in product design with a focus on hybrid visual and motion design, and familiarity with 3D design tools. Experience using Generative AI for creative concepting is preferred. | — | 5 |
| Senior Product Engineer, Machine Learning Accelerators This role focuses on the engineering and manufacturing of hardware accelerators for machine learning, specifically within Google's supply chain and operations. The individual will lead technology assessment, collaborate on quality and reliability, and support pre-production builds to ensure the successful deployment of next-generation ML systems. While the role is within an AI-focused organization and deals with ML accelerators, the core responsibilities are in hardware engineering, manufacturing, and supply chain management, rather than direct AI/ML model development or research. | — | 5 |
| AI Sales Specialist, Google Cloud Sales role focused on growing Google Cloud's AI business by building customer relationships, identifying AI use cases, and demonstrating the business value of Google's AI solutions. The role involves working with customers to build new products leveraging AI and developing go-to-market strategies. | — | 5 |
