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, 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).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |
| Vendor Solutions Consultant, Marketing This role is a Vendor Solutions Consultant for Marketing within Google Cloud. The primary focus is on transforming outsourced marketing programs into highly automated, high-velocity engines by embedding an AI-first approach, designing governance frameworks, and reshaping vendor workflows. The role involves co-creating next-generation marketing workflows, scoping and embedding GenAI tools, and driving operational efficiency and scale. | — | 5 |
| Senior Manager, Partner Sales Enablement This role is for a Senior Manager of Partner Sales Enablement at Google Cloud. The primary focus is on developing and executing a comprehensive partner sales enablement strategy, designing learning initiatives, and tracking KPIs to measure program effectiveness. The role involves working cross-functionally with various teams to deliver global learning experiences and requires experience in partner enablement, channel management, or sales training within the cloud computing sector, with a minimum of 7 years of experience. Experience leveraging AI and learning technologies for training initiatives and people management experience are also required. | — | 0 |
| Head of Creative Works, SPLatam This role is a leadership position within Google's Large Customer Sales (LCS) team for Spanish Latin America, focusing on driving creative strategies for strategic clients. The Head of Creative Works will manage a team, oversee creative product delivery, consult on client relationships, and partner with various internal teams to align creative strategies with business goals. While the role mentions AI transformation and generative AI technologies, its core function is product sales, strategy, and team management within the advertising domain, not direct AI/ML development or research. | — | 0 |