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 |
|---|---|---|
| Senior Research Data Scientist Data Scientist role focused on advertising product creation, development, and improvement, using scientific and statistical methods, including machine learning and causal inference, to analyze user behavior and ecosystem dynamics. The role involves collaborating with engineers, analysts, and product managers to translate scientific insights into deployed products at scale, with a focus on ad-measurement, effectiveness, and incrementality. | — | 5 |
| Software Engineer III, Application Developer, XR Google is seeking a Software Engineer III to develop next-generation wearable technology for their XR team. This role focuses on building flagship communication apps for glasses, leveraging integrated AI assistance for features like audio/video calls, translation, and navigation within an innovative wearable ecosystem. The engineer will write product or system development code, review code, contribute to documentation, triage and debug issues, and participate in design reviews. | — |
| 5 |
| AI Sales Specialist, Startups, Google Cloud AI Sales Specialist for Google Cloud, focusing on growing AI business with startups by building relationships, demonstrating product functionality, and identifying use cases. The role involves working with customers to deliver business value and build new products leveraging Google's AI solutions, including Gemini models and the Vertex AI platform. | — | 5 |
| Software Engineer III, Android, Chrome OS Software Engineer III on the User Assist team for Chrome OS and Android tablets, focusing on intelligent assistance, automation, and personalized support. The role involves building UI experiences, integrating with Gemini, and working on future AI integrations and productivity features. Responsibilities include engineering solutions, design, implementation, launch management, and code quality across Android framework, first-party apps, and server-side changes. | — | 5 |
| Software Engineer III, Mobile (Android), XR Google is seeking a Software Engineer III for their XR team to design, develop, and launch user-facing AI-driven experiences for Android XR devices. This role involves collaborating with cross-functional teams to bring features from concept to a shipping product, focusing on the convergence of AI and XR to augment human intelligence. | — | 5 |
| AI Sales Specialist, Media and Entertainment, Google Cloud AI Sales Specialist for Google Cloud's Media and Entertainment sector, focusing on building customer relationships, demonstrating AI product value, and driving business growth. The role involves identifying AI use cases, collaborating with product and engineering teams, and developing go-to-market strategies. | — | 5 |
| Staff Software Engineer, ML Fleet Systems Staff Software Engineer role focused on building and providing technical leadership for ML Fleet Systems, which involves general software engineering tasks like coding, testing, deploying services, and operational support for AI and Infrastructure teams at Google. The role contributes to the development of AI models and computing power at scale. | Serve | 5 |
| Staff Engineering Manager, Search Real World Journeys This role is for an Engineering Manager at Google Search, focusing on the Real World Journeys (RWJ) Infrastructure team. The team builds the platform that scales AI-forward search experiences in verticals like travel, local, and finance, supporting generative AI surfaces. The manager will lead teams, define technical roadmaps, and oversee the deployment of large-scale projects, ensuring low latency and high reliability for billions of users. | — | 5 |
| Technical Lead, Storage Distributed and Sovereign Cloud This role focuses on building and optimizing storage solutions for distributed and sovereign cloud environments, with a specific emphasis on supporting advanced AI/ML workloads. The Technical Lead will drive core storage features, enhance observability, and architect solutions for secure, disconnected environments, while also mentoring engineers and leveraging AI tooling for developer velocity. | — | 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. Responsibilities include partnering with technical sales teams, understanding customer needs, developing cloud solutions, conducting proofs-of-concept, and troubleshooting technical issues. Requires experience with cloud-native architecture, customer-facing roles, and machine learning model development and deployment. | — | 5 |
| Clinical Specialist, Evaluation and Safety This role focuses on the clinical evaluation and safety of AI-powered health and wellness products, ensuring scientific accuracy and measurable health benefits. The Clinical Specialist will guide research and product development, lead evaluation requests, design analytical methods for health outcomes, and serve as the primary clinical point of contact for internal teams. The role requires a strong clinical background, experience with AI in healthcare, and the ability to translate safety insights into product requirements. | — | 5 |
| Creative Technologist, Platforms and Devices Developer Marketing This role focuses on creating demos and educational content for the Android ecosystem, leveraging the latest AI models and agentic coding tools to inspire developers. The Creative Technologist will build groundbreaking demos, create social and video content, and experiment with AI tools to showcase Android's capabilities. | Agent | 5 |
| Regulatory and Litigation Counsel, AI Safety This role is for a Regulatory and Litigation Counsel focused on AI Safety, providing legal guidance and managing responses to governments and regulators regarding AI technologies. The role involves working with cross-functional teams to address legal and policy questions at the intersection of AI innovation and regulatory scrutiny. | — | 5 |
| Product Marketing Manager, AI Maker, Commerce, Ads Marketing Product Marketing Manager for AI Maker in Commerce, Ads Marketing at Google. This role focuses on driving the AI transformation strategy for consumer shopping, retail, and US Ads marketing teams. The individual will architect strategic frameworks, marketing solutions, and operational processes to increase adoption of Google Products, leveraging AI to disrupt business areas, improve efficiency, and accelerate output. The role requires experience with AI/ML tools and driving digital transformation. | — | 5 |
| Staff Software Engineer, GCS Object Context and Search Staff Software Engineer for Google Cloud Storage Object Context and Search team, focusing on designing and developing semantic storage and search solutions. The role involves leading the technical roadmap, ensuring reliability, scalability, and performance of systems, and building high-performance storage and low-latency retrieval systems at scale. | AgentServe | 5 |
| Business Intelligence Developer, Cloud Finance This role focuses on building business intelligence tools and data products for Cloud Finance, with a significant emphasis on leveraging ML and AI for anomaly detection, forecasting, and agentic capabilities to drive financial insights and automation. The role involves owning data product lifecycles, developing scalable models, leading process innovation, and communicating insights to executive leadership. | AgentData | 5 |
| Staff Hardware Design Engineer, Platforms Infrastructure Engineering This role focuses on designing and building hardware systems for Google's data centers, with a specific emphasis on AI/ML hardware platforms like GPUs and TPUs. The engineer will be involved from concept to manufacturing, leading system and hardware design, validation, and productization. | — | 5 |
| Senior Silicon Architect This role is for a Senior Silicon Architect at Google DeepMind, focusing on defining chip IP architectures, memory hierarchy, and interconnect fabrics. While the role involves AI/ML accelerator architecture design as a qualification, the primary responsibilities are centered around silicon architecture and system-level optimization, not the direct development or deployment of AI models or agents. | — | 5 |
| Senior UX Survey Scientist, Trusted Tester, gUP UXR Senior UX Survey Scientist focused on user research for Generative AI products like Gemini, involving survey design, analysis, and driving insights for product development and launch decisions. The role emphasizes quantitative research methods and collaboration with cross-functional teams. | — | 5 |
| Program Manager II, Customer Experience Operations, Google Store Program Manager for Google Store Customer Experience Operations, focusing on integrating AI/ML into content production and operational workflows, managing customer feedback programs, and driving operational improvements. The role involves leading projects, analyzing data, and designing pilots for new technologies. | — | 5 |
| Product Specialist, Web Ecosystem Partnerships This role focuses on shaping the future of the open web in the age of AI by partnering with developers, web infrastructure providers, and third-party AI partners. The Product Specialist will optimize Chrome's platform for AI-first developer tools and next-generation user experiences, owning relationships with Product Managers, leading product validation, and designing go-to-market strategies. The goal is to drive adoption of AI capabilities and enable agentic experiences, paving the way for scaling these initiatives globally. | — | 5 |
| Cloud Data and AI Engineer, Professional Services This role focuses on guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud Platform. It involves providing architecture guidance, best practices, data migration, and troubleshooting for ML models and integrations. The engineer will also consult on optimal data and AI solution design and travel to customer sites for deployment and workshops. | ServeData | 5 |
| Software Engineer, Translation Mobile, XR Software Engineer role focused on building and launching first-party applications and experiences for AR glasses, specifically translation, media player, and phone call experiences. The role involves mobile development for Android/iOS paired with wearables and leveraging generative AI tools for development acceleration. The goal is to create delightful glasses experiences that amplify speech and sound, integrating AI and XR technologies. | — | 5 |
| Technical Program Manager III, Advanced Analytics, Google Data Center Technical Program Manager III role focused on Advanced Analytics for Google Data Centers. The role involves leading complex, multi-disciplinary projects, planning requirements, managing schedules, identifying risks, and communicating with stakeholders. Responsibilities include designing and implementing data warehouse infrastructure, data pipelines, predictive analytics, and machine learning models using GCP. The role also involves managing program deliverables and extracting business insights from datasets to maintain data center operations and efficiency. | Data | 5 |
| Senior Reward Lead, DeepMind This role focuses on reward programs and talent strategy within Google DeepMind, a pioneering AI lab. The Senior Reward Lead will act as a thought-leader and advisor to senior leadership, driving holistic reward solutions to attract and retain global AI talent. Responsibilities include leading high-stakes programs, forming strategic alliances, setting reward standards, and solving problems holistically. While the role is not directly building AI models, it is critical for supporting the organization that does, and it involves using AI tools to improve practices. | — | 5 |
| Quality Management System Specialist This role focuses on managing the Quality Management System (QMS) for digital health products at Google, ensuring compliance with global health regulations, particularly concerning AI in healthcare. The specialist will advise product teams, safeguard core platforms, and engage with health authorities to shape standards. While the role operates within the context of AI in healthcare and has preferred qualifications related to LLMs and AI-agent architectures, its core function is regulatory quality management and compliance, not direct AI/ML model development or deployment. | — | 5 |
| Medical Device Regulatory Specialist This role focuses on navigating the global health regulatory landscape for digital health products, particularly those involving AI. The specialist will advise product teams on regulatory strategy, ensure compliance, and engage with global health authorities and standards bodies. The role requires expertise in medical device regulations, software as a medical device (SaMD) frameworks, and monitoring legislative developments in AI and healthcare policy. While the company is involved in AI for healthcare, this specific role is centered on regulatory affairs and policy, not direct AI/ML model development or deployment. | — | 5 |
| Product Strategy and Operations Principal, Emergent AI Infrastructure This role is a Product Strategy and Operations Principal for Emergent AI Infrastructure within Google's AI2 organization. The role focuses on developing business and product strategies, driving planning, and performing pricing and costing analysis for AI infrastructure. It involves working closely with product management, engineering, sales, marketing, and other cross-functional teams to support the delivery of compute infrastructure that accelerates AI innovation at Google scale. The role requires experience in management consulting, product management, or analytics within a technology company, with a focus on AI infrastructure, cloud, or B2B businesses. | — | 5 |
| Model UX Writer, Devices and Services This role focuses on shaping product experiences through a user-centered lens, grounded in a technical understanding of Large Language Models (LLM). The Model UX Writer will define the AI persona, craft systems for seamless human-AI interactions, and translate user needs into intuitive, AI-driven solutions. Success requires collaboration with researchers, product managers, and engineers to ship successful AI products, particularly within Google Health, focusing on conversational AI for voice and text-based interfaces. | — | 5 |
| Engineering Manager, Spanner Search This role is for an Engineering Manager at Google Cloud, specifically for the Spanner Search team. The team owns the architecture and scale of full-text, vector, and hybrid search capabilities within the Spanner engine. The manager will drive the technical roadmap, engage with customers, manage and mentor a team of software engineers, and collaborate with various partner teams. The role requires experience in software development, building infrastructure, distributed systems, core database internals, people management, and experience with vector search, full-text search, or query processing. Preferred qualifications include experience with large-scale search systems, information retrieval pipelines, vector databases, and database engine internals. | — | 5 |
| Senior Staff Software Engineer, Unified Traffic Engineering, Infrastructure Senior Staff Software Engineer role focused on Unified Traffic Engineering for Google's global networks, ensuring optimized routing and load balancing for Google and GCP services. The role involves designing, developing, and maintaining large-scale software solutions, with a minimum qualification of integrating generative AI tools or LLM interfaces into workflows. | — | 5 |
| Senior Product Quantitative Researcher, Cloud Security This role focuses on quantitative product research within Google Cloud Security. The researcher will analyze user behavior using logs, surveys, and regression, collaborate with Product and Engineering, and build data sets and insights to inform business decisions. Experience with data engineering, data science, statistical methods, and programming languages like Python/R and SQL is required. Machine learning experience is preferred. | — | 5 |
| Staff Software Engineer, Enterprise Product Strategy and Architecture Staff Software Engineer focused on defining and scaling enterprise-wide architectural standards, reference models, and patterns for data platforms and AI/ML capabilities within Google's Corporate Engineering. The role involves technical design consultations, architecture reviews, supporting the Enterprise Architecture Board, leading technical forums, and establishing reusable patterns for data ingestion, pipeline orchestration, model deployment, and generative AI integrations. The goal is to ensure alignment with long-term data scalability and enterprise AI safety, reduce redundancy, and accelerate delivery. | ServeData | 5 |
| Product Strategy and Operations Lead, Emergent AI infrastructure This role is a Product Strategy and Operations Lead for Emergent AI Infrastructure within Google's AI2 organization. The individual will focus on developing business and product strategies, driving strategic projects, and performing market, pricing, and costing analysis to support AI infrastructure development for Google Cloud Platform (GCP). The role requires experience in management consulting, product management, strategy, or analytics, with a background in AI infrastructure, Cloud, or Enterprise/B2B businesses. | — | 5 |
| Product Manager II, Ads Data Management Product Manager for Google Ads Data Management team, focusing on 0 to 1 products for advertisers to manage and activate their first-party data. The role involves defining product strategy, leveraging ML/modeling for measurement accuracy in a data-constrained environment, and navigating privacy-preserving techniques and regulatory changes. Requires experience in ad tech and taking technical products from conception to launch. | Ship | 5 |
| Technical Program Manager III, Gemini, Google Home Technical Program Manager III for Gemini, Google Home, focusing on foundational intelligence capabilities for Gemini-powered experiences. The role involves managing the full product lifecycle, driving software engineering schedules, and working with cross-functional teams. The TPM will also leverage AI tools to streamline program management processes. | — | 5 |
| Quality Management System and Evidence Control Specialist This role focuses on managing the Quality Management System (QMS) and evidence control for digital health products, ensuring compliance with global regulatory requirements, particularly for AI in healthcare. The specialist will collaborate with engineering and product teams to translate technical workflows into compliance evidence and prepare for regulatory inspections and audits. While the role operates within the context of AI in healthcare, the core responsibilities are in quality management and regulatory compliance, not direct AI/ML model development or research. | — | 5 |
| Staff Software Engineer, App Ads Privacy Staff Software Engineer on the App Ads Privacy Team at Google, focusing on building next-generation identity resolution and attribution systems. The role involves designing privacy-focused infrastructure to maintain accurate measurement and app performance amidst industry shifts and global regulations, ensuring a balance between user trust and data utility for advertisers. | — | 5 |
| Content Strategist, gUp (Fixed-Term Contract) This role is for a Content Strategist focused on designing and managing help and support content for Google products. While the role involves using and providing feedback on AI-enabled content creation tools and staying updated on best practices for AI consumption of information, the core craft is not AI/ML model development or deployment. The primary output is content strategy and user support documentation. | — | 5 |
| Software Engineer Manager, Foundational HTTP Serving Platform Manage a team of software engineers focused on Google's foundational HTTP serving platform, a critical piece of infrastructure. The role involves technical leadership, roadmap definition, and driving AI-assisted engineering practices within the team to improve development, testing, and operational support. | — | 5 |
| Senior Software Engineer, Discover Ads User Value Senior Software Engineer role focused on the user value of Discover Ads, involving engineering, data analysis, and product thinking to optimize ad auctions, inventory, and pricing. The role aims to improve advertiser, user, and Google values by leveraging product intuition, data insights, and research discoveries. It requires experience in software development, testing, and architecture, with a preference for experience in building and deploying recommendation systems. | ShipAgent | 5 |
| Hardware System Architect, Pixel Watch This role focuses on architecting hardware systems for wearable products, specifically the Pixel Watch, to enable ambient and edge computing applications. The architect will define system design, ensure subsystems meet performance, power, and cost goals, and analyze data processing paths. Collaboration with internal teams, silicon vendors, and technology partners is key. The role involves defining system and component specifications, evaluating trade-offs, selecting chipsets, overseeing integration, and investigating emerging technologies. Experience with machine learning models and AI accelerators is preferred. | — | 5 |
| Research Data Scientist, YouTube Gaming Discovery Data Scientist role on YouTube Gaming Discovery team, focusing on helping gamers find content. Involves collaborating with stakeholders, designing and evaluating models, gathering data, and using tools like SQL and Python. Requires a Master's degree in a quantitative field and 3 years of experience in analytics, coding, and database querying. Preferred qualifications include experience with machine learning and recommender systems. | Ship | 5 |
| Program Manager, Social Media Strategy, DeepMind Program Manager for executive social media strategy at DeepMind, focusing on amplifying AI and scientific discovery thought leadership. This role involves developing and executing social media plans, translating complex technical information into engaging narratives, and coordinating with various internal teams and external producers. The goal is to grow the digital presence and impact of executive leaders in the AI space. | — | 5 |
| Product Counsel, AI Regulatory, DeepMind Product Counsel for AI Regulatory at DeepMind, advising on legal and policy for AI development and deployment, collaborating with cross-functional teams, and using AI tools to enhance work. Requires JD and experience in AI and related legal fields. | — | 5 |
| Strategic Partner Program Manager, Gemini API and AI Studio, DeepMind This role is a Strategic Partner Program Manager for the Gemini API and AI Studio team at Google DeepMind. The role focuses on driving internal processes, headcount planning, and organizational rhythm to ensure velocity and operational excellence. It involves managing operational systems, representing leadership in forums, tracking key indicators like developer adoption and API performance, and leading operational execution for major industry milestones. The role requires significant experience in strategy, operations, and scaling within a technology company, with a preference for experience in AI/ML platforms. | — | 5 |
| Lead Product Manager, Google Home User Data Product Manager for Google Home User Data, focusing on controls, permissions, disclosures, consents, data takeout, and data donation for AI-first/Gemini-based features and agentic product offerings. This role involves driving strategy for data acquisition and serving as a point of contact for regulatory and user data related changes. | Agent | 5 |
| Eye Tracking Systems Staff Software Engineer Staff Software Engineer for Google's XR Perception team, focusing on eye tracking systems for AR/VR. The role involves technical leadership, algorithm design, and software development for compute-constrained Android devices, with an emphasis on integrating generative AI and LLM interfaces into workflows. | Serve | 5 |
| Staff Embedded Software Engineer, Audio/Firmware Staff Embedded Software Engineer for Google's Android microXR project, focusing on audio firmware for AR smart glasses. The role involves developing and optimizing audio systems, integrating with ML teams, and supporting AI-driven use cases within an embedded, real-time context. | Serve | 5 |
| Software Engineer, Parallel File Systems, AI/ML Storage Software Engineer role focused on building and optimizing distributed file systems for AI/ML workloads, specifically generative AI and real-time inference, aiming for extremely high throughput (10TB/s). The role involves developing APIs, designing distributed systems, implementing data protection, performance improvements, and cost optimizations for large-scale storage infrastructure. | — | 5 |
