Google currently has 612 active AI-related roles in our index. The most common open titles are: Software Engineer (4), Senior Software Engineer (3), Software Engineer III, AI/ML, Google Cloud (3), AI Adoption Customer Engineer, Google Cloud (2), AI Outcome Customer Engineer, Cloud AI Tech GTM (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 (381 roles), India (53 roles), Singapore (40 roles), United Kingdom (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 525 new AI-related roles.
Currently tracking 528 active AI roles, with 1268 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $234k).
Google currently has 612 active AI-related job listings. The majority of these roles, 44%, are focused on agents, with serving infrastructure representing another significant portion at 25%. Engineering is the most frequent function for these positions. The company is hiring for AI roles across several technical areas, including agent orchestration, model serving, and LLM observability.
| Title | Stage | AI score |
|---|---|---|
| Technical Program Manager, Antigravity (Data), DeepMind Technical Program Manager to own and lead critical data infrastructure initiatives for the Antigravity team, powering modeling flywheel, evaluation frameworks, and product telemetry. Requires technical depth in data engineering at scale, familiarity with data use cases for an agentic product, and collaboration with research and engineering teams. | — | 5 |
| Senior UX Writer and Content Designer, Google Consumer Shopping This role is for a Senior UX Writer and Content Designer focused on Google Consumer Shopping. The primary responsibility is to shape product experiences by creating useful and meaningful text, particularly for GenAI use cases. The role involves setting content strategy, partnering with product managers and engineers, developing and training models for content quality, understanding shopper needs, defining LLM-generated responses, and evaluating outputs. While the role interacts with AI models and contributes to their quality through content and evaluation, it does not involve shipping core AI models or agents as its primary deliverable. The focus is on the user-facing content and experience of AI-powered products. |
| — |
| 5 |
| Software Engineer III, Engineering Productivity, Tools and Infra Software Engineer III on the Crystalball team at Google, focused on building and improving tools for preventing performance regressions in the Android Platform. The role involves contributing to A/B benchmarking, metric visualization, alerting, bisection, and triage services. A key responsibility is integrating AI into workflows to reduce latency and save costs related to performance bugs. | Agent | 5 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application, integrating Google technology across the stack, and driving innovation in mobile offerings for enterprise users. The role involves end-to-end application development, backend integration, and refinement of mobile features, with a focus on Gen AI and AI Chatbots. | Ship | 5 |
| Technical Lead, AI/ML Infrastructure This role focuses on building and delivering specialized AI compute platforms and infrastructure at Google, ensuring high availability for massive-scale AI workloads. It involves designing and integrating custom compute topologies with schedulers like Kubernetes, establishing observability, and collaborating with hardware teams. The role requires extensive experience in large-scale infrastructure, distributed systems, and software development. | — | 5 |
| Digital Execution Lead, Digital Delivery for Construction Execution, Google Data Centers This role focuses on designing, developing, and optimizing end-to-end data pipelines and architectures within Google Data Centers. The Digital Execution Lead will ensure data integrity, security, and performance by building scalable ETL/ELT workflows, maintaining cloud data warehouses, and implementing data governance protocols. The role involves collaborating with cross-functional teams to enable advanced analytics and machine learning capabilities through reliable data infrastructure, and managing complex data dependencies using workflow orchestration tools. | — | 5 |
| Software Engineer III, Business Mobile App, Google Pay Software Engineer III for Google Pay's Business Mobile App, focusing on empowering SMBs with digital presence and growth tools. The role involves designing, developing, and maintaining mobile software using Flutter, collaborating with cross-functional teams, and leveraging AI tools to enhance development workflows. The team uses AI in daily work for development and to ensure complex technology is simple for merchants. | — | 5 |
| Partner Lead, Third Party Creative Tech Partner Lead for Third Party Creative Tech at Google, focusing on managing relationships with creative tech and production entities to drive adoption of Google Ads APIs and YouTube best practices. The role involves strategic planning, execution of joint business plans, and acting as a liaison between partners and various Google organizations. Success is measured by partnership maturity and integration of Google solutions to enhance creative quality for advertisers. The role also involves driving adoption of Generative AI and partner tools, identifying upselling opportunities, and contributing to product roadmaps. | — | 5 |
| Staff Interaction Designer, Google Vids Staff Interaction Designer for Google Vids, an AI-powered video tool for Workspace. The role involves crafting user experiences for generative video and recording journeys, translating ambiguous problems into roadmaps, and partnering with Product and Engineering. Focus on user-centered design, integrating AI capabilities into intuitive products. | Ship | 5 |
| RTL Engineer III, Silicon Cloud This role involves designing and developing custom silicon solutions (ASICs) to accelerate machine learning computation in data centers. The engineer will collaborate with various teams to specify and deliver quality designs for next-generation data center accelerators, focusing on micro-architecture, performance, power, and complexity. | — | 5 |
| Deployment Lead, AI Infrastructure, Google Cloud This role focuses on deploying and managing AI infrastructure for enterprise clients on Google Cloud. While the role requires experience with AI/ML infrastructure (GPUs, GKE, Kubeflow) and potentially tuning AI/ML models, the core responsibilities are around customer engagement, solution architecture, and managing the deployment of cloud-based distributed systems, rather than directly building or researching AI models themselves. The role acts as a bridge between hardware and enterprise software for large-scale computing solutions. | — | 5 |
| Customer Engineer, SLED, New England Google Public Sector Customer Engineer for Google Public Sector, focusing on helping state and local government and educational institutions with their digital transformation using Google Cloud. Responsibilities include partnering with technical sales teams, understanding customer requirements, developing cloud solutions, and troubleshooting technical issues related to database migrations and the data lifecycle. The role involves building go-to-market solutions with partners, owning the technical relationship, and providing best practice advice on integration strategies and enterprise architectures. Minimum qualifications include a Bachelor's degree, 10 years of cloud native architecture experience in a customer-facing role, and experience presenting to technical stakeholders. Preferred qualifications include experience with public sector clients, application migration to cloud platforms, security concepts, networking concepts, and creating demos using generative AI tools. | — | 5 |
| Product Manager, Pixel Gaming Product Manager for Google Pixel Gaming, focusing on AI-powered gaming experiences and features on Pixel devices. This role involves driving strategy, influencing hardware and silicon, and collaborating with game developers to enhance mobile gaming on Pixel. | Ship | 5 |
| Senior Silicon Design Verification Engineer, Cloud Silicon This role focuses on the verification of custom silicon solutions, specifically Tensor Processing Units (TPUs), which are designed to handle Artificial Intelligence/Machine Learning (AI/ML) workloads. The engineer will be responsible for the full verification life-cycle, including planning, test execution, and coverage closure, ensuring the reliability and performance of these AI/ML-focused hardware components. While the role involves AI/ML workloads and accelerators, the core craft is silicon design verification, not the direct development or research of AI models themselves. | — | 5 |
| Software Engineer III, Cloud Bigtable SQL and Analytics Software Engineer to help build the next generation of Google Cloud's Feature Store, transforming it into an Agentic Data Cloud Feature Store. This role involves designing and implementing core "SQL for ML" capabilities like continuous materialized views, real-time counters, and vector search (ANN) to enable modern agentic application development. The position requires building high-performance, scalable, and reliable distributed systems and includes participation in a production on-call rotation. | AgentServe | 5 |
| Product Manager Lead, Technical Intelligence, DeepMind Lead a team of analysts to provide insights on AI infrastructure, economics, and frontier innovation, guiding Alphabet's capital allocation, planning, and technical roadmaps. This role involves analyzing AI labs, hyperscalers, and supply chains to estimate compute capabilities and financial sustainability, delivering data-driven diligence for strategic decisions. | — | 5 |
| Staff UX Designer, Visual and Motion Design, Google Beam Staff UX Designer for Google Beam, an AI-first 3D video communication platform. The role involves designing new platform experiences, bridging aesthetics and movement, prototyping, and crafting narratives for 3D and AI products. Responsibilities include defining product strategy, creating concept reels and motion mockups, authoring a motion language, and resolving spatial design challenges. Requires experience in product design with a focus on hybrid visual and motion design, and familiarity with 3D design tools. Experience using Generative AI for creative concepting is preferred. | — | 5 |
| Senior Product Engineer, Machine Learning Accelerators This role focuses on the engineering and manufacturing of hardware accelerators for machine learning, specifically within Google's supply chain and operations. The individual will lead technology assessment, collaborate on quality and reliability, and support pre-production builds to ensure the successful deployment of next-generation ML systems. While the role is within an AI-focused organization and deals with ML accelerators, the core responsibilities are in hardware engineering, manufacturing, and supply chain management, rather than direct AI/ML model development or research. | — | 5 |
| AI Sales Specialist, Google Cloud Sales role focused on growing Google Cloud's AI business by building customer relationships, identifying AI use cases, and demonstrating the business value of Google's AI solutions. The role involves working with customers to build new products leveraging AI and developing go-to-market strategies. | — | 5 |
| Agentic Workplace Transformation Practice Lead This role is a Go-To-Market (GTM) Practice Lead for Agentic Workplace Transformation (AWT) in the Asia-Pacific (APAC) region for Google Cloud. The primary focus is on developing and executing regional strategies to promote Gemini Enterprise and Google Workspace, enabling field promoters and partners to drive the Google Cloud agentic offer. The role involves designing programmatic mechanisms, leading regional application of specialty plans, guiding customers toward agentic workflows, and analyzing KPIs to refine GTM plans. | — | 5 |
| Technical Writer, DeepMind This role is for a Technical Writer at Google DeepMind, focusing on creating written content about AI research and its implications. The writer will collaborate with AI researchers to translate complex concepts into accessible narratives for various audiences, including blogs, op-eds, and talking points. The role requires extensive experience in technical writing, journalism, and analyzing AI research papers, with a strong interest in AI and AGI. | — | 5 |
| Senior Software Engineer, Infrastructure, Google Workspace Google is seeking a Senior Software Engineer for its Workspace infrastructure team. This role involves developing and enhancing software solutions for Google's productivity tools, which are being enhanced with AI capabilities. The engineer will work on large-scale infrastructure, distributed systems, and potentially machine learning systems, collaborating with AI model builders to shape the future of work. Responsibilities include coding, design reviews, code reviews, documentation, and issue triaging. | — | 5 |
| Customer Success Manager, SMB, Google Cloud Customer Success Manager for Google Cloud, focusing on accelerating the adoption of Google Gemini and AI solutions for SMB customers. The role involves both broad tech-touch motions and strategic engagement with key stakeholders, synthesizing feedback for product and engineering teams, and guiding executives on leveraging AI tools and cloud infrastructure. | — | 5 |
| Software Engineering Manager II, Google Cloud Software Engineering Manager II for Google Cloud's AI and Infrastructure team, focusing on leading engineers, setting team priorities, developing technical roadmaps, and guiding system designs for large-scale AI and infrastructure projects. The role involves people management and technical leadership within a team that supports Google's AI models and computing power. | Serve | 5 |
| Senior Product Manager, Generative AI, Google Cloud Product Manager for Generative AI experiences and solutions on Google Cloud Platform, responsible for guiding products from conception to launch, incubating, prototyping, and iterating on new ideas. | — | 5 |
| GECX Sales Specialist, Cloud Nordics Sales Specialist role focused on growing Google's Gemini Enterprise for Customer Experience (CX) business by building relationships with customers and internal sales teams. The role involves identifying AI use cases, articulating solution differentiators, and driving pipeline for Google Cloud AI products. | — | 5 |
| Software Engineer III, Full Stack, Commerce Safety Software Engineer III, Full Stack, Commerce Safety at Google. This role involves designing and building backend services for a moderation and verification platform, evolving it into a centralized orchestration engine. It also includes designing, building, deploying, and iterating on ML models (including LLMs) for spam and abuse detection in Shopping. The role requires collaboration with product managers, data analysts, and other engineering teams, analyzing data to identify abuse patterns, and ensuring system reliability. Minimum qualifications include a Bachelor's degree, experience in full-stack development, backend languages, frontend technologies, relational databases, and distributed systems. Preferred qualifications include experience with ML, Generative AI, LLMs, server platforms, and Trust & Safety. | AgentData | 5 |
| Business Product Lead, High Performance Culture This role is a Business Product Lead focused on delivering talent and career solutions for Google employees, managers, and leaders, particularly in the context of the AI era. The role involves defining product strategy, building and evolving AI prototypes into scalable solutions, managing the product lifecycle, and influencing executive leadership. While the role deals with AI-powered products and attracting AI talent, its core function is product management and strategy within HR and talent operations, not direct AI/ML model development. | — | 5 |
| Staff Software Engineer, AI and Infrastructure Staff Software Engineer role focused on building and scaling the core infrastructure (Borglet) for managing AI/ML workloads, including GPU/TPU management, within Google Cloud's enterprise AI platform. The role involves designing, implementing, and analyzing computer systems and their interactions with kernel and hardware to support hyperscale computing and advanced models. | Serve | 5 |
| Software Engineering Manager II, Audio Experience, Pixel Software Engineering Manager II for Google Pixel's Audio Experience team, focusing on developing next-generation user intelligence and an audio platform. The role involves leading end-to-end design, managing an engineering team, and solving complex technical challenges in audio capture and processing to enhance user experiences while maintaining high privacy standards. Responsibilities include driving strategic outcomes, designing systems, developing roadmaps, managing team performance, and ensuring alignment with partners. | Ship | 5 |
| Technical Program Manager III, GPU Infrastructure Reliability, Google Cloud This role is for a Technical Program Manager III focused on GPU Infrastructure Reliability within Google Cloud. The primary responsibility is to lead the end-to-end development, project planning, and delivery of next-generation Cloud GPU products, including software qualification and release strategies for AI hypercompute clusters. The role involves managing escalations, mitigating risks, and coordinating cross-functional initiatives related to AI infrastructure customer onboarding and production support. It also includes participating in the development of core management software, monitoring, and diagnostic tooling for scalable Cloud ML solutions. While the role supports AI products, it is not directly building or researching AI models but rather managing the infrastructure that enables them. | — | 5 |
| 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 |
| Customer Engineer, Platform, SLED, Mountain West, Public Sector Customer Engineer for Google Cloud Platform, focusing on the Public Sector (SLED). This role involves partnering with technical sales teams to understand customer business challenges, architecting cross-pillar cloud solutions, and driving technical wins. While the role uses generative AI tools and services, its core function is not building AI models but rather enabling customer digital transformation on Google Cloud. | — | 5 |
| Senior Staff Software Engineer, Cloud AI, Full Stack Senior Staff Software Engineer for Google Cloud AI, focusing on the Colab platform. This role involves setting technical direction, ensuring scalability and reliability, and mentoring engineers. While the team works on AI challenges and collaborates with product teams, the primary focus of this specific role is on the platform's engineering excellence and developer tooling, rather than direct AI model development or research. | — | 5 |
| Principal Platforms Analytical Lead, Large Customer Solutions This role focuses on leveraging Google Marketing Platform and data-driven insights to help large customers and agencies achieve their business goals. The Lead acts as a quantitative expert for advanced analytics, experimentation, and measurement, partnering with sales teams to drive customer success and growth. While the role mentions AI-era and Generative AI tools, its core function is in sales, analytics, and product strategy within the marketing platform, not in building AI models. | — | 5 |
| Product Manager, Core Experiences XR App Product Manager for Google's Core Experiences XR App team, focusing on building the next generation of extended reality devices and applications. The role involves defining product roadmaps, partnering with cross-functional teams, and owning the user onboarding experience, with a strong emphasis on the convergence of AI and XR. | — | 5 |
| Senior Design Verification Engineer, Google Cloud This role focuses on the verification of AI/ML hardware accelerators (TPUs), ensuring their performance and accuracy for AI/ML workloads. The engineer will develop verification environments and collaborate with design teams to ensure the reliability of complex digital designs. | — | 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 |
| Staff Software Engineer, Machine Learning Compiler, Google Research Staff Software Engineer on the Machine Learning Compiler (MPACT) team, developing open-source compiler infrastructure (LLVM, MLIR) for Google's TPU family of processors. The role involves optimizing HPC codes (C, C++, CUDA) and creating MLIR components for efficient TPU execution, focusing on backend code generation and optimization. | — | 5 |
| Learning Designer, Global Escalation Management Operations This role focuses on designing and implementing internal knowledge base systems and operational training programs for a global escalation management operation. While it involves using AI tools to enhance efficiency and content creation, the core function is not building AI models but rather leveraging them to improve existing operational processes and knowledge dissemination. | — | 5 |
| Staff Software Engineer, Capsium Policies, AI, and Compliance Staff Software Engineer role focused on AI and compliance within Google Cloud Platform. The role involves setting technical direction for policy management, security controls, and foundational platforms, with a focus on integrating emerging use cases and agents into scalable and reliable GCP systems. This is an engineering role that leverages AI/ML for compliance and policy enforcement. | Agent | 5 |
| Software Engineering Manager, Google Cloud Storage Google Cloud Storage is seeking a Software Engineering Manager to lead a team responsible for delivering client experience for GCS and enabling AI/ML workloads for customers. This role involves managing engineers, setting team priorities, developing technical roadmaps, and designing/vetting systems for a planet-scale distributed storage system that handles exabytes of user data. The team is re-architecting the software stack to support demanding AI/ML customer workloads. | — | 5 |
| Media Lab Director, Google Marketing, EMEA This role is for a Director of MediaLab in EMEA, focusing on AI-driven media transformation, innovation, and campaign execution. The responsibilities include developing media strategy, integrating Generative AI and automated workflows into media planning and execution, managing agency partnerships, and ensuring regional privacy and regulatory compliance. The role requires extensive experience in marketing and digital media, with a specific emphasis on using AI technology in consumer, business, and marketing use cases. | — | 5 |
| Senior Staff Verification Engineer, DSP This role focuses on defining and driving the verification methodology for Digital Signal Processing (DSP) in Google's custom silicon for AI data centers. It involves transitioning from simulation to hardware emulation, architecting the bridge between pre-silicon and post-silicon validation, and establishing sign-off criteria for tape-outs, ensuring the accuracy of 'Golden Models' used in AI infrastructure. | — | 5 |
| UX Designer, Retail Ads UX Designer for Retail Ads at Google, focusing on creating AI-powered shopping ads experiences. Responsibilities include user-centered design, creating wireframes, mockups, and prototypes, collaborating with cross-functional teams (Product Management, Engineering, UX Research), and delivering production-ready engineering specifications. The role involves leveraging user insights and AI tools to innovate and shape product proposals. | — | 5 |
| Senior Strategist, Ads and Shopping, Scams This role focuses on protecting users from offline scams within the Google Ads platform by using data to provide recommendations and devise solutions. It involves identifying automation and efficiency opportunities, optimizing human review costs using Applied AI and machine learning, and collaborating with cross-functional teams to improve user safety and online experience. The role requires analyzing abuse trends, enforcing policies, and identifying product vulnerabilities. | Agent | 5 |
| Global Data and AI Strategic Partner Development Manager This role focuses on facilitating C-level relationships with partners, showcasing Google's technology solutions, and guiding partners in developing their service offerings, particularly around AI and Data on Google Cloud. The manager will act as the primary technical partner liaison, driving the co-creation and adoption of AI solutions, and accelerating customer value through technical enablement and strategic go-to-market execution, specifically mentioning Google Gemini Enterprise. | — | 5 |
| Senior Security Engineer, Enterprise Security AI This role focuses on enterprise security for AI products, involving security assessments, threat modeling, and developing guardrails for AI agents to protect Alphabet's data. The engineer will adapt existing security knowledge to mitigate risks from AI use and advise on secure AI development paths. | Agent | 5 |
| Associate Principal Analyst, Scams and Verification, Trust and Safety This role focuses on protecting users from offline scams by using data analysis, applied AI, and machine learning to provide recommendations, devise solutions, and optimize human review processes. The analyst will collaborate with engineers to develop algorithms, identify automation opportunities, and build predictive models to enhance detection systems and ensure user safety within Google's products. | Agent | 5 |
| Strategic Operations Lead, Coding, Thinking, and Research, DeepMind Senior Technical Program Manager to support the VP of technology at DeepMind, focusing on operational design and execution for thinking, coding, and research areas. The role involves bridging strategy with execution, managing planning processes, resource allocation, and special projects in a fast-paced AI research environment. | — | 5 |