Currently tracking 514 active AI roles, with 1186 new openings in the last 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 607 active AI-related roles in our index. The most common open titles are: Software Engineer (4), AI Adoption Customer Engineer, Google Cloud (3), Senior Software Engineer (3), AI Outcome Customer Engineer, Cloud AI Tech GTM (2), Conversational AI Consultant (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (26%), application (18%). 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 (388 roles), India (50 roles), Singapore (43 roles), Poland (23 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 605 new AI-related roles. That is a +29% change versus the prior 30 days (469 → 605).
| Title | Stage | AI score |
|---|---|---|
| Data Scientist, Research - multiple openings This role focuses on translating business questions into analytical frameworks, designing and evaluating mathematical models, and performing statistical analysis using data infrastructure. It involves data gathering, extraction, and validation to ensure readiness for analysis, with a strong emphasis on using analytics to solve product or business problems. | — | 5 |
| Technical Program Manager Technical Program Manager at Google DeepMind focused on managing the program lifecycle for AI/ML systems, infrastructure, and product evaluations. The role involves monitoring evaluation processes, defining performance metrics, developing data pipelines, and collaborating with research and engineering teams to drive progress and ensure program success. Requires experience in program management for complex technical products, technical judgment in ML systems, and knowledge of GenAI/LLM systems and evaluations. | — | 5 |
| — |
| 5 |
| AI Sales Specialist, Google Cloud (Japanese) This role focuses on selling Google Cloud's AI solutions to customers, building relationships, demonstrating product functionality, and driving business growth. It involves working with cross-functional teams to develop go-to-market strategies and understand customer needs, with a focus on AI and data analytics technologies. | — | 5 |
| Product Support Manager, Health Product Support Manager for Google's Health products, focusing on operational readiness, customer support experience, and implementing AI automation and AI Agents to drive efficiency and improve support metrics. | — | 5 |
| Senior AI Adoption Customer Engineer, Google Cloud Senior AI Adoption Customer Engineer for Google Cloud Platform, focusing on driving the adoption of enterprise AI products with strategic customers. This role involves technical leadership, deployment planning, and consultative delivery of AI solutions, including multi-agent workflows and RAG systems. | Agent | 5 |
| AI and Knowledge Strategist, gTech Ads This role focuses on leveraging AI-powered solutions within the Google Ads ecosystem, specifically by defining content strategies, translating business needs into AI prompts, and ensuring AI responses are accurate and grounded. It involves developing and refreshing content (including interactive AI) and managing AI guardrails to mitigate risks like hallucinations. | Agent | 5 |
| AI Adoption Customer Engineer, Google Cloud Customer Engineer focused on driving adoption of Google Cloud enterprise AI products, including multi-agent workflows and RAG systems. Responsibilities include technical leadership, deployment planning, and accelerating customer time-to-value by resolving technical blockers and identifying new use cases. | Agent | 5 |
| Global Security Partner Development Manager, Google Cloud This role focuses on driving the adoption and go-to-market execution of AI security solutions through partner enablement and channel management. The candidate will act as a subject matter expert on AI Threat Defense and Generative AI for security operations, organizing workshops and training partners on deploying and selling AI-driven cyber defense tools. | — | 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 |
| Practice Director, Generative AI, Google Cloud This role is a Practice Director for Generative AI within Google Cloud, focusing on setting and executing the Go-to-Market (GTM) strategy. The individual will drive business generation goals, collaborate with Product, Engineering, and Marketing teams, and manage the portfolio of GenAI solutions to fuel sales growth. Responsibilities include defining strategy, monitoring execution, showcasing thought leadership, addressing market opportunities, managing blockers to AI maturity, and partnering with engineering and sales for pipeline health and business reporting. The role requires experience in enterprise technology sales, GTM strategy, and Generative AI portfolios, with a focus on translating technical AI capabilities into business value. | — | 5 |
| gUP Platform and Devices Manager, Health Product Excellence Manager for Health Product Excellence, responsible for orchestrating and scaling AI-driven customer support experiences for Google's Health products. Focuses on operational readiness, digital-first transformations, and evolving support tools for automated, AI-native care, ensuring compliance with medically regulated features. | Agent | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure This role is for a Software Engineer III on the Google Cloud Compute Infrastructure team. The role involves developing and maintaining the infrastructure that powers Google's services, including those related to AI. While the team works closely with AI development, the core responsibilities focus on the underlying compute infrastructure, not direct AI model development or deployment. | — | 5 |
| Software Engineer II, AI/ML, Google Security Operations This role is for a Software Engineer II on the AI/ML team within Google Security Operations. The engineer will focus on bridging gaps in Google's security tooling and implementing managed defense features within SOAR case management. Responsibilities include writing product/system development code, collaborating with peers, triaging and debugging issues, applying foundational ML concepts, and designing/developing high-quality code for security products and systems. The role requires experience with software development, data structures, algorithms, core ML concepts, and full-stack development. | Ship | 5 |
| Product Lead, YouTube Business Technology Product Lead for YouTube Support Systems, focusing on applying AI/ML to optimize support operations, manage the AI innovation lifecycle from PoC to production, and align technical roadmaps with business goals. Requires strong leadership, systems thinking, and experience integrating AI/ML solutions in a customer support context. | Agent | 5 |
| Business Intelligence Analyst, Payments Risk Management This role focuses on business intelligence and data analytics within Payments Risk Management, aiming to enhance risk assessment and monitoring programs by leveraging AI models. The analyst will collect, analyze, and interpret large datasets, develop metrics and dashboards, ensure data integrity, and present insights. While the role uses AI tools and has some AI-related qualifications, its core function is data analysis and business intelligence, not direct AI/ML model development. | — | 5 |
| Integrated Circuit Package Design Engineer Develops physical package substrate designs for Machine Learning (ML) chips, collaborating with cross-functional teams to optimize designs for performance, efficiency, and manufacturability. Manages the design process from feasibility to tape-out, incorporating advanced packaging technologies into the product pipeline. | — | 5 |
| Silicon Design Verification Lead, Google Cloud Lead Silicon Design Verification for Google Cloud's custom hardware, focusing on AI/ML workloads on TPUs. Responsibilities include full verification life-cycle management, team leadership, and ensuring reliability for AI/ML applications. | — | 5 |
| Staff Software Engineer, Security/Privacy Staff Software Engineer, Security/Privacy role focused on overseeing platform security architecture in the AI era, guiding its evolution, and leading IDP Agentic Security initiatives. The role involves coordinating with engineering and security teams, mentoring engineers, and establishing operational frameworks. It requires deep understanding of internal infrastructure and a focus on protecting against risks from autonomous AI. | — | 5 |
| Senior AI Marketing Producer, Media AI Lab This role is for a Senior AI Marketing Producer within Google's Media AI Lab. The primary focus is on managing creative operations for Search campaigns, establishing efficient processes, and ensuring the progressive usage of AI in marketing. The role involves translating marketing needs into production plans, leading the production cycle for various assets, and acting as an early tester for new agentic workflows. While the role interacts with AI technologies and tests new workflows, its core function is in marketing operations and creative production, not in building or researching AI models themselves. | — | 5 |
| Senior Outbound Product Manager, Generative AI Product Manager role focused on the Go-to-Market strategy and execution for Google Cloud's AI portfolio, specifically the Vertex AI platform and Gemini Enterprise. The role involves shaping product roadmaps, collaborating with customers and partners, and driving business growth and adoption of AI solutions for enterprise clients. | — | 5 |
| Model UX Designer This role is for an Interaction Designer focused on AI initiatives within Google's Ads Privacy and Safety UX team. The designer will translate complex AI concepts like foundational models and agentic workflows into intuitive user interfaces and experiences for Google developers. They will use AI tools and prompt engineering in their daily workflow to accelerate prototyping and discover new ways of working, focusing on crafting user journeys, wireframes, and interactive prototypes for novel AI interactions such as chat interfaces and autonomous agent hand-offs. Collaboration with Engineers, Product Managers, and Research Scientists is key. | Agent | 5 |
| Senior Visual Designer Senior Visual Designer for the Gemini in Chrome team, focused on defining the visual language for AI-powered features within the Chrome browser. This role involves designing adaptive interfaces for generative AI outputs, communicating AI states visually, and creating user trust through micro-interactions. The designer will collaborate with engineering and product management to pioneer the next decade of human-computer interaction. | — | 5 |
| AI Sales Specialist, GenMedia, Google Cloud Sales Specialist for Google Cloud's AI offerings, focusing on the GenMedia sector in APAC. The role involves building customer relationships, demonstrating product functionality, and driving business value through AI solutions. It requires understanding customer needs, collaborating with internal teams, and contributing to Go-to-Market strategies. | — | 5 |
| Senior UX Engineer, Ads Privacy and Safety This role is for a Senior UX Engineer on an AI-forward team focused on Ads Privacy and Safety. The engineer will bridge design and AI capabilities, prototyping and developing AI-driven interfaces and architecting frameworks to translate ML models into user-friendly tools. The role emphasizes user-centric design and aims to redefine workflows with AI. | — | 5 |
| Senior Staff Software Engineer, Search Ads, Quality, Backend Senior Staff Software Engineer for Google's Search Ads Quality Backend team, focusing on local search ads. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions at the intersection of data, information retrieval, ML, and infrastructure to improve user experience and drive business growth. | — | 5 |
| Staff Developer Relations Engineer, Cloud and Generative AI Google is seeking a Staff Developer Relations Engineer for Cloud and Generative AI. This role involves fostering a community of developers working with Google technologies, advocating for their needs internally, and providing technical enablement. The engineer will collaborate with cross-functional teams, attend events, lead developer programs, and contribute feedback on products. The role supports democratizing AI and cloud innovation across the Americas. | — | 5 |
| Senior Compliance Analyst, Public Sector This role is for a Senior Compliance Analyst in Google Public Sector, focusing on modernizing compliance operations by integrating generative AI to automate risk management workflows. The role involves leading cross-functional initiatives, building security architecture governance frameworks, and influencing global stakeholders to ensure compliance drives business growth. It requires experience with government compliance frameworks and leveraging AI tools for automation. | — | 5 |
| Customer Engineering Manager, Data Analytics, Google Cloud This role is for a Customer Engineering Manager for Data Analytics at Google Cloud, focusing on accelerating customer success by providing technical expertise and leading a team of subject matter experts. The role involves modernizing data architectures for AI readiness, leading the data-for-AI technical community, influencing product roadmaps, and leading technical engagements with strategic customers. While the role focuses on enabling customers with AI, the core responsibility is customer engineering and management, not direct AI/ML model development or research. | — | 5 |
| Technical Program Management Lead, AI Studio, DeepMind Lead a team of Technical Program Managers (TPMs) for Google's AI Studio and Gemini API, focusing on organizing research teams, enabling fast-paced progress, and ensuring the success of features and events. The role requires bridging cross-functional silos, accelerating developer feedback, and driving mission-critical AI-first architecture in a fast-paced, ambiguous, and scaling environment. | — | 5 |
| Engineering Manager, Egregious Abuse Protection This Engineering Manager role focuses on leading a team to protect users and the platform against Violent Extremism (VE) and Non-Consensual Intimate Imagery (NCII). The role involves managing software engineers, shaping technical roadmaps, and integrating generative AI tools or LLM interfaces into workflows for abuse detection and mitigation. The team builds foundational technical systems for Google's products, emphasizing robust, privacy-sensitive, and scalable distributed systems. | Ship | 5 |
| Manager, Ads Solution Engineering Manager for Ads Solution Engineering team at Google, focusing on leading engineers to develop and scale technical solutions for advertisers using Google Ads. The role involves driving AI and automation initiatives, collaborating with cross-functional teams, and delivering strategic goals to unlock growth for the Google Ads Business. | — | 5 |
| Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure Software Engineer III, Infrastructure, Google Cloud Compute Infrastructure. This role is part of the AI and Infrastructure team, which empowers Google customers with AI and Infrastructure at scale. The team is responsible for Google's groundbreaking innovations, delivering computing power to global services, and providing platforms for developers. The role involves writing and testing product or system development code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging system issues. Requires a Bachelor's degree, 2 years of experience in C++, Go, or Python, and 2 years of experience in large-scale infrastructure, distributed systems, networks, or compute technologies. Preferred qualifications include a Master's/PhD, experience with performance analysis, and machine learning infrastructure. | — | 5 |
| Staff Software Engineer, Health Data Foundations and Analytics Staff Software Engineer on the Health Data Foundations and Analytics team at Google, focusing on organizing and transforming health and fitness data to support AI innovation. The role involves technical leadership, software development, and integrating generative AI tools and LLMs into workflows. This position is crucial for high-impact projects within Google Health, aiming to improve personal health outcomes globally. | Data | 5 |
| Group Product Manager, Consumer Shopping Product Management leader for Consumer Shopping at Google, driving strategy and end-to-end product goals for key priorities. This role involves working cross-functionally to guide products from conception to launch, with a focus on AI-driven changes in commerce and enabling shoppers in new ways. The role requires inspiring engineering teams to innovate with ML and LLMs, and experience building AI-native product experiences is preferred. | — | 5 |
| Strategy and Operations Manager, APAC Marketing This role focuses on leading the AI transformation within the APAC Marketing organization, defining and executing an AI roadmap, integrating AI into campaigns and workflows, and driving AI adoption. It involves piloting and scaling AI use cases, building prototypes, and advocating for AI literacy. The role requires experience in program management, consulting, strategy & operations, and a practical knowledge of AI tools and platforms, with coding skills being preferred. | — | 5 |
| Enforcement Detection Analyst, YouTube, Trust and Safety This role focuses on developing and implementing strategies to enforce YouTube policies at scale, leveraging Machine Learning and Large Language Models (LLMs) for abuse detection and mitigation. The analyst will collaborate with cross-functional teams, provide incident response, and design prompts for LLMs to improve content classification. | Agent | 5 |
| Data Engineer, Global Affairs Data Engineer role focused on building and scaling data products for a Global Affairs organization, leveraging Google's AI/ML ecosystem to enable data-driven and AI-driven business decisions. Responsibilities include architecting data pipelines, managing ETL, and supporting data infrastructure. | — | 5 |
| Physical Design Lead, Google Cloud This role focuses on the physical design of ASICs for machine learning accelerators in data centers, contributing to the hardware that powers Google's AI and cloud infrastructure. The role involves managing complex SoC designs from conception to tape-out, collaborating with various engineering teams to ensure optimal performance, power, and area. | — | 5 |
| AI Outcome Customer Engineer, Forward Deployed Engineering This role is for an AI Outcome Customer Engineer within Google Cloud's Forward Deployed Engineering team. The primary focus is on bridging the gap between pre-sales and post-sales execution for strategic enterprise accounts, acting as an enterprise architect, technical debugger, and engineering liaison. The role involves shaping solutions for adoption and delivery, leading technical design, debugging complex issues, integrating AI models and agents into customer IT ecosystems, and translating field feedback into product improvements. The goal is to drive customer success and adoption of Google's AI portfolio, including Gemini models and Vertex AI. | — | 5 |
| Financial Analyst, Android Financial Analyst for Android, focusing on financial planning and analysis for partnerships, particularly with Samsung. The role involves creating financial insights, managing risk, and stewarding resources by unpacking complex business problems. It requires supporting new designs, monitoring performance, generating forecasts, providing executive snapshots, and building financial models and dashboards. The role explicitly mentions leveraging Google AI tools and Artificial Intelligence (AI) to optimize outputs and shape results, indicating an adjacent use of AI rather than direct development. | — | 5 |
| Software Engineer III, Google Play, Promotion Platform Software Engineer III at Google Play, focusing on the promotion platform and e-commerce experience. Responsibilities include designing and building backend services, optimizing workflows, developing marketing tools, and implementing AI-powered chatbot solutions for customer support. The role involves working with micro-services architecture and collaborating with cross-functional teams. | Agent | 5 |
| Scaled Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, providing technical demonstrations, advising customers on AI-driven transformations, and architecting GCP solutions with AI/ML at their core. | — | 5 |
| AI Sales Specialist Manager, Canada, Google Cloud Lead a team of AI Sales Specialists to grow Google Cloud's AI business by building and expanding relationships with new and existing customers. This role involves driving pipeline, managing sales cycles, developing go-to-market plans, and influencing strategic direction by identifying AI use cases for Google Cloud products and solutions. Requires significant experience in enterprise software, cloud, or AI sales, with leadership experience and a focus on selling AI technology. | — | 5 |
| Customer Engineer, SMB, Artificial Intelligence Customer Engineer for Google Cloud Platform, specializing in AI capabilities to drive growth for SMB customers. This role involves preparing and delivering product messaging, owning technical aspects of solutions, and acting as a strategic technical advisor by architecting GCP solutions with AI/ML at their core. | — | 5 |
| GECX Sales Specialist, Manager, Google Cloud This role is a sales specialist focused on growing the Gemini Enterprise for Customer Experience (GECX) business within Google Cloud. The specialist will build and expand customer relationships, identify use cases for Google Cloud AI products, and partner with internal sales teams to drive business growth. The role requires extensive experience in enterprise software, cloud, or AI sales, with a focus on customer experience technologies. | — | 5 |
| Senior Software Engineer, Full Stack, Stitch Google is seeking a Senior Software Engineer for the Stitch team, an AI tool that generates UI designs and front-end code from natural language and image inputs. The role involves full-stack development, writing and testing code, participating in design reviews, and debugging issues to improve the app creation workflow. | Ship | 5 |
| Staff Site Reliability Engineer, Cloud Reliability Intelligence Staff Site Reliability Engineer for Google Cloud's Reliability Intelligence team, focusing on building an evergreen intelligence platform. The role involves integrating Generative AI and LLM-driven workflows to move from reactive tracking to a predictive system for failure detection and automated risk mitigation. Responsibilities include owning the technical roadmap, designing scalable backend pipelines and UIs, and prototyping/productionizing LLM features for incident data parsing and reliability fixes. | Agent | 5 |
| Lead Technical Program Manager, Google Cloud Lead Technical Program Manager for Google Cloud's product vulnerability management, focusing on security programs in a rapidly evolving AI landscape. This role involves strategic leadership, risk mitigation, and cross-functional collaboration to ensure the security of GCP products against AI-driven threats. | — | 5 |
| Principal Virologist, Responsible Development and Innovation, DeepMind This role focuses on evaluating AI models for biological threats, integrating scientific insights into safety frameworks, and shaping biosecurity mitigation strategies. The Principal Virologist will partner with AI researchers and engineers to embed biosecurity protocols and conduct advanced biology evaluations against AI models. | — | 5 |
