Currently tracking 526 active AI roles, with 1251 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
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 612 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), AI Outcome Customer Engineer, Forward Deployed Engineering (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (44%), serving infrastructure (25%), 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 (383 roles), India (51 roles), Singapore (43 roles), Poland (26 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 599 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior AI Sales Specialist, Google Cloud (Japanese) This role is for a Senior AI Sales Specialist for Google Cloud in Tokyo, Japan. The primary focus is on growing the AI business by building customer relationships, demonstrating product functionality, and identifying use cases for Google's AI solutions. The role involves working with customers to deliver business value and helping them build new products leveraging AI. It requires a strong understanding of AI technologies and the ability to drive sales and achieve business goals. | — | 5 |
| Software Engineer, Search Ads Budgeting Software Engineer role focused on the Google Ads budgeting system, involving data analysis, algorithm development (including ML-based techniques), and large-scale system design and implementation in C++. The role aims to improve the efficacy of core budgeting systems. | Ship |
| 5 |
| Product Policy Lead, Generative AI This role focuses on policy development and recommendations for Generative AI products within Google's Trust & Safety team. The Product Policy Lead will collaborate with product managers and engineers to influence product decisions, drive research in the multimodal Generative AI space, and set industry standards. They will also provide updates to executives and partner with Deepmind on model-level policies. The role requires experience in policy, legal, or trust and safety environments, with a focus on AI-related policy issues. | — | 5 |
| Senior Technical Program Manager I, Data and Analytics, Finance This role is for a Senior Technical Program Manager on the Finance Data and Analytics team at Google. The primary focus is on defining and executing a multi-year data strategy to enable the AI-driven transformation of Google's Finance organization. Responsibilities include leading programs for data standards, lineage, integration of financial systems, data warehousing, and BI enablement, with a strong emphasis on technical judgment for data modeling and architecture choices. The role requires extensive experience in program management, data modeling, SQL, ETL/ELT, and data warehousing, with a preference for experience in finance domains and regulatory compliance. | — | 5 |
| Silicon Design Verification Engineer, Silicon Cloud This role focuses on the verification of AI/ML hardware accelerators (TPUs) that power Google's AI/ML applications. The engineer will ensure the reliability and performance of these complex digital designs by developing verification environments, writing tests, and collaborating with design teams throughout the full verification lifecycle. | — | 5 |
| Staff Software Engineer, GCE Node Staff Software Engineer at Google Cloud's GCE team, focusing on building and scaling compute infrastructure for AI/ML workloads. The role involves innovating in virtualized storage, networking, and customer workload management to support training and inference VMs, ensuring availability, reliability, and performance of the underlying infrastructure. | — | 5 |
| RTL Engineer III, Silicon Cloud This role involves developing custom silicon solutions (ASICs) for accelerating machine learning computation in data centers. The engineer will collaborate on micro-architecture, design, and integration of these accelerators, focusing on performance, power, and area. While the role is in hardware engineering, it directly supports AI/ML infrastructure. | — | 5 |
| Machine Learning Engineer, XLS, Compiler Machine Learning Engineer focused on compiler optimization for hardware design, leveraging ML infrastructure to improve semiconductor development velocity and quality within Google's internal tools. | Serve | 5 |
| Senior Software Engineer, Security/Privacy This role focuses on security and compliance engineering within a large organization that develops and supports multiple products, including specialized Machine Learning (ML) applications. The engineer will lead the transition to an AI-Driven development lifecycle, ensuring security for agent platforms and developer tools, and acting as a technical authority for cross-product security strategy and risk mitigation. | — | 5 |
| Strategy and Operations, Google Cloud Applied AI This role is in Strategy and Operations for Google Cloud Applied AI, focusing on Gemini Enterprise and agentic AI solutions for enterprise operations. The role involves managing business cadences, customer engagements, and communications strategy to drive adoption and impact. It is not a hands-on AI/ML development role but supports AI product delivery. | — | 5 |
| Creative Partnerships Associate This role focuses on leveraging creative AI to develop and execute innovative creative strategies for strategic clients within Google's Large Customer Sales (LCS) team. The associate will act as a creative consultant, influencing marketing leadership and shaping ad strategies aligned with advertiser objectives, while also partnering with various internal teams to ensure seamless execution and measurable business outcomes. The role requires experience in creative advertising, digital media, and a strong understanding of Google/YouTube ad solutions, with a specialization in creative ads products and generative AI. | — | 5 |
| Staff Software Engineer, NetSoft Staff Software Engineer role focused on designing and deploying network infrastructure that supports AI/ML growth and applications. The role involves end-to-end planning, design, and deployment of network transformation, with a focus on software infrastructure for traffic demand, capacity planning, cost optimization, and automated deployment. Responsibilities include leading technical direction, driving software design, analyzing AI/ML applications, and improving development velocity. Requires experience in large-scale infrastructure, distributed systems, networks, software design, and computational modeling techniques like integer and linear programming. | — | 5 |
| Staff Software Engineer, Flume ML Staff Software Engineer at Google Cloud focused on advancing the scheduleability and auto-tuning capabilities of a planet-scale data processing infrastructure platform that powers foundational ML features and next-generation AI initiatives. The role involves technical leadership in designing, developing, and maintaining large-scale distributed systems critical for ML pipelines. | Data | 5 |
| Solutions Architect, Data, Google Cloud Solutions Architect for Google Cloud, focusing on the Data Cloud portfolio (Databases, Big Query, Looker) and Vertex AI. The role involves working with customers and internal teams to design and present technical solutions, create technical collateral, and provide customer feedback to Product and Engineering. Requires experience with data pipelines, warehousing, SQL/NoSQL, Python/Java, and Google Cloud's Vertex Platform, with preferred experience in architecting unified Data and AI/ML platforms for Generative AI. | — | 5 |
| Staff Software Engineer Google is seeking a Staff Software Engineer to work on Woodshed, an AI/ML Storage system that provides exabyte-scale foundation for all ML workloads at Google, aiming to accelerate ML training and inferences and simplify ML data management. The role involves technical leadership, project management, and collaboration with infrastructure and client teams to guide integrations for high-impact projects. | Serve | 5 |
| Software Engineer III, Telemetry Infrastructure This role focuses on building and maintaining a high-performance telemetry infrastructure to support demanding workloads, including LLM training. The engineer will write product/system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. While the role supports AI workloads, its core craft is infrastructure and telemetry, not direct AI/ML model development. | — | 5 |
| Quality Control Manager This role is a Quality Control Manager for Google's gTech Ads division, focusing on improving customer experience and operational efficiency within the advertising products stack. The manager will establish quality processes, leverage automation and ML for quality control, share insights, and drive standardization across regions. While the role mentions utilizing ML and AI tools, its core function is quality management and process improvement within an advertising support context, not direct AI/ML model development or research. | — | 5 |
| Agentic Transformation Consultant, Delta, Google Cloud Consulting Consultant to guide enterprise customers in adopting AI and agentic AI systems to drive business outcomes, re-imagine core business functions, and design new AI-augmented operating models. Focuses on strategic roadmaps, business cases, change management, and human-in-the-loop governance for AI agents. | — | 5 |
| Product Manager, Google Search, Sports and Entertainment Product Manager for Google Search, focusing on Sports and Entertainment verticals. Responsibilities include defining features and roadmaps, assessing model quality through evaluations, partnering with stakeholders, and utilizing AI for personal productivity and prototyping. | — | 5 |
| Cloud Data Engineer, Professional Services, Public Sector This role focuses on guiding Public Sector customers in developing, configuring, and deploying their data and AI solutions on Google Cloud Platform. It involves providing architecture guidance, supporting ML model development and deployment, and ensuring optimal data pipeline performance. The role requires strong data engineering skills, experience with relational databases and object-oriented programming, and the ability to translate business requirements into technical solutions. | — | 5 |
| Engineering Manager, AI and Compute, Sole Tenancy Engineering Manager for Google's Sole Tenancy AI and Compute team, focusing on enterprise cloud adoption and intelligent host management. The role involves leading a team to deliver AI and Infrastructure at scale, supporting Google's AI models and cloud platform. | — | 5 |
| Senior Customer Engineer, National Security, Google Public Sector Customer Engineer for Google Public Sector focusing on national security, partnering with technical sales teams to understand customer needs, develop cloud solutions, and troubleshoot technical issues. This role involves working with Assured Workloads, Google Distributed Cloud, and Cloud AI to ensure secure data processing and analysis for sensitive government data. Responsibilities include building go-to-market solutions, owning technical relationships with partners, providing integration strategy recommendations, and performing work with specialized equipment in Google Distributed Cloud environments. Requires experience with air-gapped deployments, classified systems, and generative AI capabilities, along with a Top Secret/SCI security clearance. | — | 5 |
| Senior Staff Software Engineer, Front End, Google Workspace Senior Staff Software Engineer, Front End, Google Workspace. This role focuses on the technical direction and architecture of web and mobile applications for Google Workspace products like Gmail, Docs, and Drive. The engineer will define and drive technical goals for new features, lead design and architecture, provide technical leadership and mentorship, and collaborate with cross-functional teams. While the role is not directly building AI models, it is at the forefront of integrating AI into productivity tools and will work closely with AI model builders. | — | 5 |
| Staff Software Engineer, Cloud SQL, MySQL Staff Software Engineer for Cloud SQL, MySQL, focusing on integrating agentic AI to enhance customer backend management. Responsibilities include architectural design, roadmap contribution, and technical leadership within the MySQL community and Google Cloud Platform. | Agent | 5 |
| Senior Content Designer, Search AI This role focuses on content design for Google Search's generative AI experiences, shaping conversational response strategies and ensuring high-quality, trustworthy AI responses. The role involves leading content design efforts, defining principles for AI responses, and developing evaluation methods. While it works with AI models, the core craft is content design and product strategy, not direct AI/ML model development. | — | 5 |
| Software Engineering Manager, GBO Engineering, Agency Tooling This role is for a Software Engineering Manager at Google, leading a team that builds internal and external tooling for sales, marketing, and service teams within the Global Business Organization (GBO). The team will architect and develop web applications and services on Google infrastructure, integrating core technologies including Gemini for agentic features. The role involves technical leadership, people management, defining technical goals, and driving strategic execution of a new platform. While AI (Gemini) is mentioned as an integration point, the core focus is on building tooling and applications, not on developing AI models or core AI infrastructure. | — | 5 |
| Software Engineer, Cloud Infrastructure Engineering Software Engineer role focused on Cloud Infrastructure Engineering, specifically on delivering efficient compute solutions for Google Cloud. The role involves optimizing resource usage, collaborating with data science teams on statistical modeling for capacity planning, integrating resource management tools, and developing new cluster management products. The work impacts both ML and non-ML use cases, aiming to improve compute and ML resource efficiency for financial and environmental benefits. | — | 5 |
| Senior Software Engineer, Infrastructure, Google Workspace This role is for a Senior Software Engineer on the Google Workspace team, focusing on infrastructure. While the team works with AI models built by Google DeepMind and aims to integrate AI into productivity tools like Gmail and Docs, the core responsibility of this role is software engineering for infrastructure, not direct AI/ML model development or research. The role involves designing, developing, testing, and maintaining software solutions that support these AI-enhanced products. | — | 5 |
| Customer Engineer III, AI Infrastructure, Google Cloud Customer Engineer role focused on AI infrastructure and accelerators within Google Cloud, helping enterprise clients integrate and optimize AI/ML models. Responsibilities include advising on cloud strategy, demonstrating product differentiation, building reusable assets, and influencing product roadmaps. Requires strong cloud infrastructure experience and experience building/operationalizing ML models, with preferred experience in training large models and performance profiling. | ServePost-train | 5 |
| Engineering Analyst, Trust and Safety, YouTube This role focuses on using and improving Large Language Models (LLMs) for content moderation and anti-abuse efforts on YouTube. Responsibilities include designing and refining prompts for LLMs, analyzing data to understand abuse impact, and driving experiments to prevent abuse. The role involves working with data, identifying product vulnerabilities, and collaborating with engineers and stakeholders. | Agent | 5 |
| Customer Engineer III, Platform, HCLS, Google Cloud Customer Engineer III for Google Cloud's Healthcare and Life Sciences (HCLS) sector. This role partners with technical sales teams to serve as the customer's primary technical advisor, understanding business issues, troubleshooting, conducting proofs of concept, and architecting cross-pillar cloud solutions. The focus is on driving technical wins and defining delivery/consumption plans, blending sales expertise with technical engagement to prove the value of Google Cloud. | — | 5 |
| Product Manager, YouTube GenAI Creation Experiences Product Manager for YouTube GenAI Creation Experiences, focusing on integrating generative AI tools to empower creators and lower the barriers to content creation. | Ship | 5 |
| Senior Technical Program Manager, AI Data This role is for a Senior Technical Program Manager on the AI Data team at Google. The primary focus is on managing complex projects related to data for AI models, spanning training, testing, evaluation, and adaptation. The role involves working with engineering and product management to define requirements, manage schedules, identify risks, and communicate with stakeholders. While the role touches on AI/ML services, the core function is program management, not direct AI/ML development. | — | 5 |
| Product Quality Engineer, GPU Platforms, Hardware Quality and Reliability This role focuses on ensuring the quality and reliability of Google's GPU-based AI hardware infrastructure within their Cloud offerings. The Product Quality Engineer will lead quality initiatives, collaborate with manufacturing partners, develop predictive failure models, and drive issue resolution throughout the product lifecycle, from concept to End-of-Life. While the role supports AI infrastructure, the core craft is hardware quality engineering, not direct AI/ML model development. | — | 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 |
| Product Manager, Shopping Graph Product Manager for Google Shopping Graph, focusing on enabling AI shopping experiences and autonomous agents by delivering foundational platform solutions. The role involves driving AI-native strategies and capabilities into product features, connecting technical and business worlds, and guiding products from conception to launch. | Agent | 5 |
| Product Counsel, AI Regulatory, DeepMind Product Counsel specializing in AI regulatory matters, advising research and product teams on responsible AI development and deployment, and collaborating with legal, policy, and compliance teams on emerging laws and regulations. The role involves using AI tools to enhance work and ensuring safety and ethics are prioritized. | — | 5 |
| Customer Engineer III, Platform, SLED, Mountain West, Google Public Sector Customer Engineer III for Google Public Sector, focusing on technical sales and architecting Google Cloud solutions for state and local government and education clients. Responsibilities include developing technical account plans, demonstrating Google Cloud value through demos and pilots, architecting cross-pillar solutions, and facilitating post-sales transitions. Requires experience with cloud-native architecture, customer-facing roles, and cloud infrastructure engineering. Preferred qualifications include experience with public sector clients, migrations, security, networking, and generative AI tools. | — | 5 |
| Software Engineer Manager, Google Meet Infrastructure Manage a team of Software Engineers to build and scale video infrastructure for Google Meet, focusing on AI-driven productivity features. This role involves technical leadership, people management, and contributing to product strategy for AI-enhanced tools. | — | 5 |
| Software Engineer Manager II, DTA Tools Manage a team of engineers developing debug and analytics tools for Google's custom silicon (e.g., tensor), utilizing GenAI to pinpoint silicon issues and enhance productivity. The role involves HW/SW co-design and leading the DTA Tools team in Taipei. | — | 5 |
| Technical Product Support Manager, Gemini App This role is for a Technical Product Support Manager for Gemini App at Google. The primary focus is on supporting product launches, gathering user insights, and collaborating with cross-functional teams to ensure product-market fit and advance scaled support strategies. While the role involves AI-driven automation and supporting an AI product (Gemini), the core responsibilities are product support, strategy, and user advocacy, rather than direct AI/ML model development or research. | — | 5 |
| GECX Sales Specialist, Telecom, Media, Entertainment, Gaming Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (CX) business, focusing on growing relationships with new and existing customers, identifying AI use cases, and driving business value. This role involves partnering with internal sales teams and customers to understand needs and help them build new products leveraging Google Cloud AI. | — | 5 |
| Global Product Senior Associate, Business Applied AI, Advertiser Tools Product role focused on enhancing external advertiser tools and internal tools for sellers and customers within Google Ads, with a focus on AI tooling and strategy. | — | 5 |
| Software Engineer, AI Security Software Engineer focused on AI security within Google Cloud, responsible for designing and developing security services for AI, collaborating on productization, ensuring service availability, and mentoring team members. Requires 5 years of software development experience and 3 years of experience with software products, design, and architecture. | — | 5 |
| Software Engineering Manager, Global Networking Technology Software Engineering Manager for Google's Global Networking Technology team, focusing on leading teams, managing large-scale projects, and contributing to product strategy. The role involves optimizing code, managing engineers, and overseeing the deployment of large-scale projects. The AI and Infrastructure team aims to deliver AI and Infrastructure at scale, supporting Google's AI models and global services. | — | 5 |
| AI Creative Diagnostics Lead, LCS (English, German) This role focuses on driving advertisers' adoption of AI-powered creative solutions and creative tech capabilities to improve ad performance and efficiency. It involves diagnosing creative health, building data-driven pitches, and understanding Google's creative product solutions, including generative AI applications. The role is client-facing, within the Large Customer Sales (LCS) team, aiming to shape the future of advertising in the AI era. | — | 5 |
| Research Data Scientist, YouTube Gaming Discovery This role is for a Research Data Scientist on the YouTube Gaming Discovery team, focusing on helping gamers find content and playable mini-games within the YouTube app. The role involves collaborating with stakeholders, designing and evaluating models, and using data infrastructure to solve product or business problems. It requires experience with analytics, coding, and querying databases, with a preference for machine learning and recommender systems. | Ship | 5 |
| Software Engineer III, Google Beam Software Engineer III at Google Beam, focusing on real-time ML-based 3D human capture and rendering for live 3D experiences. The role involves developing scalable software regression frameworks, automated release test infrastructure, and Hardware-in-the-Loop (HILT) testing for Google Beam's communication technology. | Serve | 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 prevention and detection. The analyst will collaborate with engineering, product, and policy teams, provide incident response, and design prompts for LLMs to improve content identification and classification. | Agent | 5 |
| Engineering Manager, Switch Stack Software Google is seeking an Engineering Manager for their Switch Stack Software team. This role involves technical leadership, people management, and contributing to the development and maintenance of high-quality, high-availability, high-performance switch operation systems deployed in Google data centers. The team's work directly supports the growth of AI initiatives like Gemini and Google Cloud business, and involves shaping the future of global networks by engaging with both hardware and software aspects of networking infrastructure. | — | 5 |