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 |
|---|---|---|
| Senior Product Manager, AI Garage Senior Product Manager for AI Garage at Google, focusing on defining and delivering AI-powered agentic products for HR processes. The role involves shaping AI-native product strategy, writing PRDs for systems with non-deterministic behavior (including fine-tuning and RAG), partnering with researchers on model requirements, pioneering multi-agent execution frameworks, and implementing LLM evaluation systems. Requires deep technical fluency in generative AI and experience launching technical products. | AgentPost-train | 9 |
| Product Manager, AI Garage Product Manager for Google's AI Garage, focusing on applying AI and agentic workflows to solve HR challenges for Google's global workforce. The role involves driving the product lifecycle from ideation to launch, collaborating with AI/ML engineers and data scientists, and translating user needs into product requirements. |
| Agent |
| 7 |
| Senior Marketing Manager Lead, SGC, Global Ads Marketing This role is for a Senior Marketing Manager Lead responsible for defining the content agenda and guiding a team of writers and AI specialists to produce B2B content. The role involves leveraging AI advancements to experiment with content formats and topics, as well as leading audience acquisition and growth tactics through data-driven lead generation funnels and multi-channel distribution. | — | 5 |
| Senior AI Strategist This role is for a Senior AI Strategist within Google's People Operations (HR) team, focused on leveraging AI to transform HR products and operations. The strategist will lead projects, ideate, design, and launch AI solutions, working at the intersection of business, product, and engineering. Responsibilities include updating content, leading solution identification and execution, mitigating risks, developing solutions compliant with legal requirements, and defining business opportunities and long-term strategy. While the role involves AI strategy and deployment, it is not a hands-on AI/ML development role. | — | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| UX Designer, Google TV UX Designer for Google TV, focusing on user experience for living room entertainment. This role involves crafting intuitive interfaces, collaborating with cross-functional teams, and leveraging AI-powered tools for prototyping and anticipating user intent. The designer will advocate for users, manage the design lifecycle, and contribute to the evolution of the Google TV design system, ensuring accessibility and innovation. | — | 5 |
| Product Data Scientist, FOP Optimization Product Data Scientist for FOP Optimization at Google, shaping Payments products and solutions by leveraging machine learning and AI for transaction processing and optimizing user journeys across platforms like Play and YouTube. Focuses on data-driven decision making, success metrics, insights, and global launches within the payments routing infrastructure. | Ship | 5 |
| Quality Control Manager, Customer Support, gTech Ads This role is for a Quality Control Manager within Google Ads gTech, focusing on customer support and media/technical services. The manager will set quality processes, drive stakeholder management, share quality assurance insights, and standardize processes across regions. While the role mentions "agentic space" and "Machine Learning as relevant to quality and customer experience (CX) overall", and "AI Ml tools/agentic solutions exposure" as preferred qualifications, the core responsibilities are focused on quality control, process improvement, and customer support within the advertising domain, not on building or directly deploying AI/ML models or systems. The primary focus is on managing quality for existing ad products and customer interactions. | — | 1 |
| Product Lead, YouTube Ecosystem Product Lead for YouTube Ecosystem, responsible for the technical relationship with advertising clients and product partners, leveraging emerging technologies and overseeing technical execution of Google's online advertising platforms. The role involves defining product backlogs, collaborating with stakeholders, leading sprint planning, and ensuring successful release execution. | — | 1 |
| Field Sales Representative, FSI, Google Cloud Field Sales Representative for Google Cloud's Financial Services sector, focusing on driving customer growth and managing relationships with C-level executives. The role involves understanding customer challenges, advocating for Google Cloud solutions, and specifically focusing on Generative AI offerings to accelerate digital transformation. | — | 0 |
| Technical Account Manager Technical Account Manager for Google Cloud, focusing on driving customer adoption of various Google Cloud services, including Machine Learning, by managing technical aspects of their cloud transformation journey and building strategic relationships with stakeholders. | — | 0 |
| Technical Program Manager, AI Garage Technical Program Manager for Google's Core team, focusing on driving complex, cross-functional engineering efforts. The role involves centralized planning, execution, and establishing governance over prioritization decisions. It requires strong stakeholder management and experience with Agile methodologies, with a preference for experience in AI/ML software development projects. | — | 0 |
| Product Marketing Manager, Google Play Core Growth Product Marketing Manager for Google Play Core Growth, focusing on shaping CRM strategy, optimizing user journeys, and integrating Generative AI into the CRM platform to drive engagement and product affinity. | — | 0 |
| Startup and Venture Capital Partnership Manager This role focuses on building and managing partnerships with Venture Capitals (VCs) and startups to drive business growth and adoption of Google's products and services. The role involves strategic planning, relationship management, and developing go-to-market strategies, with a focus on advancing AI as one of the key pillars. | — | 0 |
| Product Data Scientist Manager, Play Monetization Product Data Scientist Manager for Google Play Monetization, focusing on driving product decisions, optimizing purchase flows, and identifying opportunities through data analysis and experimentation. The role involves managing a team of data scientists and partnering with cross-functional teams. | — | 0 |
| Service Delivery Manager, gTech Ads This role is for a Service Delivery Manager in gTech Ads, responsible for leading customer support operations for Google's large and medium ads customers. The focus is on achieving key performance metrics, driving strategic improvements, and collaborating with cross-functional teams. While the role mentions understanding AI/ML applications in support operations as a preferred qualification, the core responsibilities are centered around operational management and customer service within the advertising product domain, not direct AI/ML development or research. | — | 0 |