Currently tracking 498 active AI roles, down 12% versus the prior 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 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 |
|---|---|---|
| Global Data and AI Strategic Partner Development Manager This role focuses on facilitating C-level relationships with partners, showcasing Google's technology solutions, and guiding partners in developing their service offerings, particularly around AI and Data on Google Cloud. The manager will act as the primary technical partner liaison, driving the co-creation and adoption of AI solutions, and accelerating customer value through technical enablement and strategic go-to-market execution, specifically mentioning Google Gemini Enterprise. | — | 5 |
| Senior Staff Technical Program Manager for Safety and Privacy, GeminiApp, DeepMind The Senior Staff Technical Program Manager will lead the cross-functional execution, alignment, and approach for a universal AI assistant product, focusing on safety, privacy, and security. This role involves co-designing safety mitigations with modeling teams, translating ambiguous priorities into executable programs, and managing complex dependencies to ensure responsible-by-design features from base model to UI. The role requires a blend of technical understanding, regulatory awareness, and leadership to deliver a trustworthy and compliant AI product at scale. |
| — |
| 5 |
| Global AI Strategic Partner Development Manager This role focuses on driving the adoption and go-to-market strategy for Google's AI solutions, specifically Gemini Enterprise, on Google Cloud. The individual will act as a technical and strategic liaison with partners, helping them develop their AI service offerings, co-create solutions, and accelerate customer value. Responsibilities include technical enablement, architectural review, and leading GTM execution for AI initiatives. | — | 5 |
| AI Technical Enablement Lead, Google Cloud This role focuses on developing and executing technical enablement programs for Google Cloud's AI products, targeting Go-to-Market (GTM) technical roles like Forward Deployed Engineers and Customer Engineers. The lead will create training materials and strategies to help these roles effectively use, demo, and showcase AI products to customers, driving technical conversations and understanding of Google Cloud's AI offerings. | — | 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 translate business problems into analytical solutions, develop statistical models, improve data pipelines, and build evaluation metrics. The role involves partnering with internal teams, driving strategic initiatives, and influencing stakeholders to deliver customer-centric, data-driven insights for marketing and product impact. While AI tools may be used, the core function is not building AI models but rather applying data science for business insights and optimization. | — | 5 |
| Technical Program Manager, MarComm OS and Ops, DeepMind (Fixed-Term Contract) Technical Program Manager for MarComm OS and Ops at Google DeepMind, focusing on operational infrastructure, piloting generative AI tools for internal use, and translating organizational objectives into actionable initiatives. The role involves partnering with engineering teams, managing program budgets, and advising leadership. | — | 5 |
| Product Manager, Googler Experience Product Manager for Googler Experience, focusing on agentic experiences and leveraging AI/ML for prototyping and product development. The role involves leading customer user journeys, partnering with cross-functional teams, launching new products, and using market research to shape product direction. Requires experience with technical products and AI/ML technologies, with a preference for experience with Generative AI for consumer products. | — | 5 |
| Global Content Manager, Customer Stories, Cloud The Global Content Manager for customer stories will partner with the Marketing Customer Reference team to identify, write, and amplify customer stories for field sellers. This role will work cross-functionally across sales, marketing, PR, strategy and operations, and product teams to ensure sellers have access to the right customer content at the right time via generative AI chat agent tools, libraries, sales newsletters, industry community forums, dashboards, and more. The role is within Google Cloud's Go-To-Market team, leveraging Google's AI portfolio. | — | 5 |
| Product Marketing Manager, Retail Ads Product Marketing Manager for Google's agentic commerce and AI retail solutions, focusing on B2B2C marketing. The role involves architecting global narratives, defining messaging frameworks, and creating compelling content to influence the retail ecosystem's adoption of AI-driven commerce solutions. This cross-functional role requires strong storytelling, collaboration with various teams, and the ability to integrate generative AI tools into workflows. | — | 5 |
| AI and Knowledge Strategist This role focuses on developing content strategies for Google Ads, specifically leveraging AI-powered tools to map user intent to content solutions. The strategist will translate business requirements into AI prompts, monitor model behavior for accuracy and grounding, and create high-quality content solutions. A key aspect involves understanding and applying Generative AI guardrails to mitigate risks like hallucinations and ensure reliable AI-driven experiences. | — | 5 |
| Product Strategy and Operations Lead, AI and Infrastructure Product Strategy and Operations Lead for Google's AI and Infrastructure Cloud business, focusing on business and product strategy, operations, and communication. This role partners with senior leadership to drive strategic projects, incubate new initiatives, provide analytics support, and facilitate business operations for external-facing AI/ACI Cloud and internal-facing CoreML/TI businesses. The role involves developing business-level and product strategies, driving strategic projects, and providing data-driven recommendations. | — | 5 |
| Associate Product Counsel, Health and Home, Pixel and Research Product Counsel for Google's Health and Home, Pixel, and Research teams, focusing on legal guidance for devices and software with AI features, including the Gemini assistant. Responsibilities include advising on privacy, product launches, and regulatory issues. | — | 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 |
| Senior User Experience Researcher, Google Pay This role is for a Senior User Experience Researcher on the Google Pay team, focusing on shaping the product experience for SMB businesses. The role involves developing research roadmaps, leading research activities in a fast-paced environment, and applying mixed-methods research to influence product strategy. While the role is in the fintech domain and explores GenAI applications, the core function is UX research, not direct AI/ML model development. | — | 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 |
| Field Sales Representative, AI/ML, Public Sector Field Sales Representative for Google Cloud's AI/ML offerings, focusing on the UK Public Sector. This role involves translating AI research into deployable solutions, architecting AI roadmaps for government accounts, conducting technical deep-dives, leading cross-functional teams for partnership frameworks, and ensuring AI solutions adhere to national policies and data governance standards. Requires extensive experience in enterprise B2B software sales to government clients and familiarity with AI/ML concepts and regulatory landscapes. | — | 5 |
| Vendor Strategy and AI Transformation Lead, GCP Support This role focuses on leading the strategy and transformation of Google Cloud Support's vendor operations, aiming to scale effectively and flexibly. It involves managing a global ecosystem of vendor partners, driving performance, and ensuring quality of service, with an emphasis on leveraging AI tools to optimize workflows and enhance deliverables. | — | 5 |
| Technical Program Manager, Science Automation, DeepMind Google DeepMind is seeking a Technical Program Manager to lead complex programs in Science Automation, focusing on lab automation in material science and life sciences. The role involves driving end-to-end planning and delivery, translating research into impact, and collaborating with multi-disciplinary teams and external partners. The position requires a strong technical background with an understanding of AI in the context of lab automation and research, and experience in program management. | — | 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 |
| Group Product Manager, Customer Experience Ads Product Manager for Google Ads customer experience, focusing on defining and executing AI product roadmaps, collaborating with engineering on AI/ML applications, and advocating for users within the Google Ads ecosystem. | — | 5 |
| Data and Measurement Account Manager This role is for a Data and Measurement Account Manager at Google, focusing on helping clients leverage Google's advertising and measurement solutions, including AI-powered tools, to maximize their marketing investments and drive business growth. The role involves managing client portfolios, advising on technical solutions for data collection and activation, and leading digital transformation projects. | — | 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 |
| AI Sales Specialist, Google Cloud (English, Korean) Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating AI product functionality, and identifying AI use cases to solve business problems. The role involves developing go-to-market strategies and working with cross-functional teams to drive pipeline and business growth. | — | 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 |
| 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 |
| 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 |
| Product Marketing Manager, Brand and Reputation Product Marketing Manager for Brand and Reputation in India, focusing on shaping Google's brand perception, particularly concerning AI. The role involves leading marketing strategy, developing partner-led storytelling, managing brand campaigns, utilizing data-driven insights, and collaborating with cross-functional teams. A key aspect is translating technical AI leadership into human-centric stories. | — | 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 |
| AI Sales Specialist Manager, Google Cloud (English, Mandarin) This role is for an AI Sales Specialist Manager at Google Cloud, responsible for leading a team to grow the AI business by building customer relationships and driving sales. The role involves working cross-functionally with internal teams and partners to identify AI use cases, articulate solution differentiators, and manage business pipelines to accelerate growth. The ideal candidate has extensive experience in enterprise software/cloud/AI sales, team leadership, and promoting cloud-based IT solutions, with fluency in English and Mandarin. | — | 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 |
| 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 |
| 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 |
| User Experience Designer, Agentic Software Development Life Cycle (English) This role is for a User Experience Designer focused on Agentic Software Development Life Cycle. The designer will transform complex tasks into intuitive user experiences, working with UX teams, Engineering, and Product Management. Responsibilities include participating in design critiques, learning new tools and AI literacy, and escalating barriers. Minimum qualifications include a Bachelor's degree, experience with design tools, and a portfolio. Preferred qualifications include experience with LLMs, prompt engineering, agentic AI systems, dynamic interfaces, and Generative AI tools. | — | 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 |
| AI Advocate, Cloud AI, Greater China (English, Mandarin) This role is an AI Advocate for Google Cloud AI in Greater China, focusing on promoting Google AI technologies to developers. Responsibilities include writing sample code, participating in developer forums, troubleshooting, providing feedback to product teams, and driving strategy for developer communities. The role requires strong technical skills in programming languages with a focus on ML/Gen AI applications, and excellent communication in Mandarin and English. | — | 5 |
| Global Product Lead, Global Business Applied AI This role is for a Global Product Lead within the Global Business Applied AI (GBAI) organization at Google. The primary focus is on shaping the roadmap and driving the launch of AI-powered solutions for the Connect Sales CRM platform. The role involves representing user needs, prioritizing features based on business cases, documenting requirements, and measuring the business impact of new features. While the role works with AI-powered solutions and analyzes datasets for ML approaches, the core craft is product management and go-to-market strategy for these solutions, rather than direct AI/ML model development. | — | 5 |
| Developer Advocate, Cloud AI (English, Japanese) Drive strategy around fostering a community of developers who work with Google AI technologies. Advocate for developers' needs internally and represent their interests to internal stakeholders. Write sample code and client libraries, participate in developer forums, and troubleshoot coding problems. Improve products by conveying feedback from developers, reviewing API designs, and testing new features. | — | 5 |
| Product Manager II, UGC Creative Editorial Product Manager for User-Generated Content (UGC) Creative Editorial within Google Maps and Search, focusing on media contribution and consumption. The role involves defining product strategy, building UGC experiences, and collaborating with cross-functional teams, adapting to the evolving AI landscape and launching AI-powered experiences. | — | 5 |
| Growth Consultant, AppDev, Google Customer Solutions (English, Japanese) This role is a Growth Consultant for App Development within Google Customer Solutions, focusing on helping businesses optimize user acquisition strategies using Google Ads. The role involves data science/measurement consulting, client analysis, automation using GoogleSQL/Python, and collaboration with sales, product, and technical teams. The consultant will advise clients on marketing analytics best practices and scale measurement impact by upskilling sales managers. While understanding AI principles is preferred, the core function is sales and consulting, not direct AI/ML model development. | — | 5 |