Currently tracking 498 active AI roles, down 12% versus the prior 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).
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.
| Title | Stage | AI score |
|---|---|---|
| Product Manager, YouTube Ads User Quality Product Manager for YouTube Ads User Quality, focusing on ML algorithms, auction design, and relevance models to improve ranking systems and user experience. This role involves defining metrics, designing A/B tests, and partnering with engineering and data science teams to develop and deploy next-generation ranking models. | ShipServe | 7 |
| Product Strategy and Operations Principal, Cloud AI Product Strategy and Operations Principal for Google Cloud AI, focusing on evolving legacy systems to Agentic ecosystems. This role involves strategic analysis, roadmap development, and translating AI infrastructure needs into business strategies and Go-To-Market plans, with a focus on designing agent systems. | Agent |
| 7 |
| Staff UX Content Designer, Search This role focuses on shaping generative AI experiences within Google Search by leading model behavior design, content strategies, and training methods. The Staff UX Content Designer will develop frameworks, rubrics, and evaluation methods to ensure high-quality, trustworthy responses, working closely with researchers, PMs, and engineers. The role emphasizes influencing response quality, building user confidence, and defining standards for a reliable search experience. | Post-trainAgent | 7 |
| Technical Program Manager, Google Cloud Applied AI This role is for a Technical Program Manager focused on building high-impact AI agents for enterprise clients within Google Cloud. The TPM will elicit business requirements, conduct A/B testing and PoCs, collaborate with Data Science and Engineering on data pipelines for ML models, and ensure solutions address supply chain bottlenecks. They will also manage a team of TPMs, including resource allocation and hiring. The role involves integrating generative AI solutions into business processes and agent-based modeling. | Agent | 7 |
| Manager, Support Enablement, Platform Solutions and Delivery, Cloud Support Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation. | Agent | 7 |
| AI Solutions Lead, Sales Workflows, Devices and Services This role focuses on architecting and guiding the AI intelligence strategy for Demand Planning and promotion management systems within Google's Platforms and Devices organization. The goal is to create an AI-native future for commercial platforms by enabling teams, processes, and AI Agents to work together. The Lead will design predictive decision models and actionable insights to enhance business growth and operational efficiency, modernize planning workflows, and improve demand forecast accuracy by leveraging AI. Responsibilities include defining AI goals, product needs for AI-driven tools, leading cross-functional teams to integrate AI into demand planning, implementing solutions using low-code and agentic frameworks, and defining KPIs for AI solutions. | Agent | 7 |
| Senior Creative Technologist, Search Marketing This role sits at the intersection of product development and creative storytelling within Google Search Marketing. The Creative Technologist will bridge the gap between engineers, researchers, and creatives by prototyping and developing novel demos that showcase the capabilities of AI features like generative AI, visual search, and multimodal experiences. The role involves translating complex technology into compelling technical storytelling, identifying new use cases, and executing technical demonstrations for high-visibility events. It requires a blend of technical and creative skills to inspire teams and develop breakthrough creative concepts. | Agent | 7 |
| Senior Strategist, Kids and Learning Trust and Safety This role focuses on ensuring the safety and trustworthiness of Generative AI experiences for young users, specifically in educational contexts. The Senior Strategist will develop and implement product safety strategies, analyze risks, and work with engineering and product teams to build responsible AI capabilities, including those for image, video, and agentic AI. Key responsibilities include analyzing data to identify and combat abuse, enhancing operational workflows, improving model safety, debugging escalations, and managing technical projects. | Eval GateAgent | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role focuses on driving innovation in machine learning to enhance Google's products, working with cross-functional teams to manage complex programs from start to finish. The role requires understanding ML technologies and their applications, managing schedules, and communicating with stakeholders at all levels. The team is responsible for AI and Infrastructure at scale, supporting Google's products and customers. | Ship | 7 |
| Group Product Manager, Google Ads, Consumer Shopping Product Manager for Google Ads Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. The role involves strategy development, cross-functional collaboration, and understanding the competitive retail landscape to drive the deployment of ML/LLM solutions. Experience with AI-native products and agentic commerce is preferred. | Ship | 7 |
| Group Product Manager, Generative AI, Google Cloud Product Manager for Generative AI on Google Cloud Platform, focusing on driving AI-driven experiences and solutions from ideation to production. This role involves cross-functional collaboration, roadmap definition, and staying current with Generative AI technologies to evolve product offerings. | Ship | 7 |