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 |
|---|---|---|
| Technical Program Manager, Workspace Horizontal Technical Program Manager for AI features across Google Workspace products, focusing on horizontal AI features and end-to-end feature development. The role involves shaping the AI user experience, working across frontend, serving, and integrations, and collaborating with model builders to impact billions of users. | Ship | 5 |
| Workspace Abuse and Safety Product Manager, Enterprise Protections Product Manager for Google Workspace focusing on Enterprise Protections, specifically addressing threats and abuse related to Generative AI features. The role involves defining safety strategies, collaborating with data science and engineering teams to build ML-based protection mechanisms, and ensuring product resilience against adversarial threats for enterprise customers. | Ship |
| 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 |
| 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 |
| 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 |
| Engineering Manager, Operations Intelligence, gUP Engineering Google is seeking an Engineering Manager for their new Operations Intelligence team. This role will build and lead a team focused on automating the content lifecycle using data and automation, including ML/NLP. The manager will define technical strategy, oversee development, and partner with various stakeholders to deliver impactful solutions. The role requires strong software development, technical leadership, and people management experience, with a preference for experience in large-scale data processing and Generative AI. | Ship | 5 |
| Software Engineering Manager, Merchant Shopping, Agency Growth Software Engineering Manager for Google's Merchant Shopping, Agency Growth team, focusing on building AI-forward experiences for agencies and leading the development of scalable backend and frontend infrastructure for insights and recommendations. The role involves strategic product direction, team leadership, and cross-functional collaboration to drive success for agencies and merchants. | Ship | 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 |
| Senior Software Engineer, Android, YouTube Create Senior Software Engineer on the YouTube Create Client team, responsible for leading the design and implementation of complex features and infrastructure projects for an Android app that offers advanced editing tools, effects, and AI-powered media generation for content creators. | Ship | 5 |
| Software Engineer III, Infrastructure, Google Workspace This role is for a Software Engineer III on the Google Workspace Infrastructure team, focusing on building AI-powered productivity tools for the future of work. The engineer will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The role involves working with AI model builders and impacting billions of users by enhancing products like Gmail, Docs, and Meet with AI capabilities such as pre-computed summaries and AI avatar-generated videos. | Ship | 5 |