Google

This role is a sales specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) offering. The primary focus is on growing the GECX business by building and expanding customer relationships, identifying AI use cases, and partnering with internal sales teams to drive adoption of Google Cloud AI solutions for customer experience.

Data Engineer role focused on designing and managing data pipelines for Vertex AI operations, building automated agents for system monitoring, and creating dashboards for efficiency metrics. The role involves collaborating with data science and finance teams to translate efficiency goals into data models and tracking systems, ensuring alignment with budgetary requirements.

This role supports the launch of Generative AI search experiences and education efforts, focusing on responsible AI capabilities. The analyst will perform data analysis to identify and combat abuse, develop datasets and run evaluations for Gen AI products, establish metrics for AI issues, and improve model safety through data analysis. The role requires experience in data analysis, project management, and familiarity with ML model performance or LLMs.

Product Manager for Google Pixel, focusing on contextual customization and AI-powered personalization for mobile devices. This role involves guiding products from conception to launch, defining roadmaps, and collaborating with cross-functional teams to drive innovation.

This role is a sales specialist focused on growing Google's Gemini Enterprise for Customer Experience (CX) business. The primary responsibility is to build and expand relationships with new and existing customers, identify use cases for Google Cloud AI products, and drive sales cycles. While the role interacts with AI products and aims to help customers build new products leveraging AI, the core craft is sales, not building or researching AI models themselves.

This role focuses on ensuring the security of Google's AI products and features by identifying and mitigating vulnerabilities throughout the product lifecycle. The engineer will analyze AI products, conduct threat modeling, perform research on vulnerabilities, and promote security practices. While leveraging AI tools, the core function is security engineering for AI products, not direct AI model development.

This role is for a Senior UX Researcher on a team building Generative AI products in the ads, marketing, and media space. The researcher will be a core member of a fast-moving 0 to 1 product team, responsible for scoping learning programs, helping the team meet milestones, and defining team culture. The role involves conducting primary research, collaborating with cross-functional teams, and influencing product strategy by providing actionable insights. While the products are AI-related, the core craft of the role is UX research, not AI/ML model development.

Product Manager for AI/ML within Google Ads, focusing on leveraging unique data and advanced ML techniques to improve ad systems, measurement, and advertiser value, while navigating privacy and regulatory changes.

Lead a team of subject matter experts to accelerate AI adoption within Google Cloud, focusing on technical sales, Go-to-Market strategy, and resolving customer technical blockers. This role involves managing a team, building technical sales assets, and collaborating with product and sales leaders to drive customer success with AI solutions.

Android Application Engineer for Google Fi Wireless, focusing on scaling the subscriber base, architecting core features, and enhancing functionality using deep Android and telephony expertise. The role involves technical leadership, mentoring junior engineers, and collaborating with cross-functional teams to deliver a seamless user experience. The team leverages Google's AI to solve complex problems and improve customer connectivity.

Software Engineer III, Flume ML at Google, focused on advancing data processing infrastructure, including schedulability and autotuning. The role involves designing and developing data processing features, utilizing AI tools for development, and working with customers on schedulability tests. Requires experience in software development and large-scale infrastructure.

Customer Engineer for Google Cloud's AI Platform, focusing on accelerating AI adoption by providing technical expertise, developing sales assets, and resolving customer blockers in the Japanese market.

Field Sales Manager for Google Cloud Startups in CEE, focusing on guiding startups in leveraging Google's AI tech stack for scaling their AI-driven products from prototyping to global deployment. The role involves leading a team of Field Sales Representatives, building relationships with founders and investors, and ensuring startups architect their business on Google Cloud AI services.

Account Executive for Google's Consumer Packaged Goods advertising solutions, focusing on leveraging AI to drive customer growth and business performance. The role involves building C-level relationships, developing business plans, and providing thought leadership in the CPG sector, utilizing Google's advertising products across Search, YouTube, and more.

Senior Software Engineer to build next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. The role involves designing, implementing, and deploying scalable and reliable systems, with a focus on streamlining operational workflows using Agentic AI and enhancing system reliability. The engineer will also contribute to AI accelerated development and ensure the scalability and availability of infrastructure.

This role focuses on guiding enterprise customers in adopting AI, specifically agentic AI, to drive business outcomes. The consultant will work with C-suite executives to reimagine business functions, design AI-augmented operating models, and create transformation roadmaps. Key responsibilities include designing human-in-the-loop touchpoints, governance frameworks, and change management plans for AI agent systems. While the role involves understanding and strategizing around agentic AI, it does not involve direct development or research of AI models.

Technical Program Manager III for Google's PLANET team, focusing on networking infrastructure for ML/AI systems (TPUs, GPUs, IPUs). The role involves managing complex, NPI networking programs, defining strategy, and driving cross-functional initiatives to ensure seamless integration and deployment of data center networks that power Google's AI solutions and global services. This is a core infrastructure role supporting AI development and deployment at scale.

Software Engineer role focused on building full-stack web applications and backend services for smart manufacturing, with a key responsibility to integrate AI models (like Gemini) and intelligent agents to enhance factory operations through predictive analysis and anomaly detection. The role involves owning projects from prototype to production and collaborating with cross-functional teams.

This role focuses on enterprise security for AI products, specifically assessing and securing AI agents and features. The engineer will develop threat models, propose guardrails, and advise on mitigating risks associated with AI use, drawing on existing security engineering knowledge and adapting it to the AI context. The role is within the Enterprise Security AI team, contributing to secure AI development and use across the company.

Senior UX Designer for Android Onboarding, focusing on creating intuitive and engaging user experiences for billions of users. The role involves exploring and designing AI-focused solutions to provide personalized health guidance, collaborating closely with cross-functional teams, and translating complex data into user-friendly interfaces. Requires experience in consumer-facing mobile applications and integrating AI/Generative AI into products.

This role focuses on statistical modeling and data analysis for YouTube ads bidding, aiming to improve advertiser success and bidding optimization. It involves building infrastructure, innovating products, and solving performance issues using a mix of engineering, machine learning, and analytical work.

Senior Software Engineer for Google's gUP Eng Support Engagement team, focusing on full-stack development for community platforms. The role involves architecting and building scalable systems, integrating AI/ML models for features like spam classification, and enhancing user engagement and self-service capabilities. Responsibilities include owning the technical roadmap, leading feature development, ensuring system stability and observability, and mentoring other engineers.

This role focuses on driving growth through technical consulting and demonstrating complex concepts to stakeholders, with a focus on live streaming and broadcast technologies. It involves configuring encoders, mapping signal chains, performing network assessments, and developing automation solutions. While experience with Generative AI tools and emerging technologies like AI/VR/AR is mentioned, the core responsibilities are not AI/ML development.

Lead Group Product Manager for Cloud SQL Platform, responsible for strategy, roadmap, and delivering results across performance, availability, and security. Will lead a team of Product Managers and drive the adoption of AI to improve product experiences and organizational effectiveness.

Software Engineer II, Enterprise Data Protection at Google, Singapore. This role focuses on building software systems to prevent data exfiltration of intellectual property, including threats from human or autonomous AI agentic actions. The engineer will design, test, deploy, and maintain these security controls across various Google systems. The role requires experience in full-stack development and has a preference for experience in security, machine learning, distributed systems, or AI, specifically agentic software engineering.

Product Manager for Google AI Subscription Growth, focused on increasing subscriber adoption and revenue for Google One by integrating AI features across Google's ecosystem.

This role is for a Software Engineering Manager II at Google, focusing on Emerging On-prem AI Infrastructure in Taipei. The manager will lead a team of engineers, set technical roadmaps for operational tooling and repair automation, and manage systems development engineers. The team's work involves empowering Google customers with AI and Infrastructure at scale, supporting AI model development, and providing platforms for developers. The role requires experience in software development, technical leadership, people management, and building cloud or systems-level infrastructure.

This role is for a Technical Lead in Home Infrastructure at Google, focusing on building and managing scalable serving and offline infrastructure for the Health and Home team. The role involves leading a team, ensuring reliability and low-latency performance of distributed systems, and collaborating with cross-functional teams. While the team uses AI technologies like Gemini, the core responsibility is infrastructure engineering, not direct AI/ML model development.

Senior Product Manager for Content Safety at Google, focusing on building scalable protections using AI to safeguard users across various products, especially at the intersection of safety and AI. The role involves partnering with engineering, product management, and policy stakeholders to leverage AI for content abuse prevention and ensure high-quality user safety outcomes.

Senior Software Engineer role focused on developing and managing software for deploying Electronic Design Automation (EDA) tools on Google Cloud. The role involves creating automation, back-end RPC services, and cloud-based solutions for scaling workflows. A key aspect is leveraging advanced machine learning techniques to generate user insights, impacting hardware creation at Google.

This role is for a Business Data Scientist within Google's Global Partnerships Studio, focusing on measuring the impact and driving the roadmap of workflow automation and AI products. The individual will define evaluation metrics, build dashboards, analyze user experience data, and provide data-driven recommendations to shape the product roadmap and the AI transformation journey for Global Partnerships. The role involves close collaboration with product and engineering teams to track user experiences and translate business needs into analyses.

This role focuses on the design verification of custom silicon solutions for AI/ML hardware acceleration, specifically Google's Tensor Processing Units (TPUs). The engineer will own the full verification life-cycle, ensuring the reliability and performance of AI/ML workloads on TPU hardware by building constrained-random verification environments and collaborating with design engineers. The role is within the AI and Infrastructure team, which supports Google's AI models and hyperscale computing.

Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying business use cases for AI solutions. The role involves managing sales cycles, developing Go-To-Market strategies, and working with cross-functional teams to drive pipeline and business growth.

The role is for a Senior Staff Technical Program Manager on the GeminiApp team, which is building a universal AI assistant. The primary focus is on program management, translating business priorities into executable programs, guiding projects from conception to delivery, and managing dependencies across teams. While the product is AI-related, the role itself is not directly building or researching AI models but rather managing the product development lifecycle.

This role is for an AI Technical Immersive Learning Manager at Google Cloud. The primary focus is on scaling and delivering the 'Explore AI for Leaders' program, which involves designing, operationalizing, and delivering interactive AI experiences to C-suite audiences. The role acts as a bridge between Google Cloud Sales, Product, and executive customer stakeholders, showcasing the transformative power of Google's AI portfolio, including Gemini Enterprise. The goal is to demystify complex cloud and AI technologies for customer decision-makers and accelerate business cycles through immersive technical experiences.

Product Manager for Android Studio's UI Tools, responsible for the roadmap and development of new AI-powered tools, including Generative UI and agentic development patterns. This role involves cross-functional collaboration to guide products from conception to launch.

The Finance Manager, AI Agents role at Google Cloud Platform focuses on shaping the financial strategy for AI businesses, particularly those involving AI agents. This involves developing financial models for AI costs, implementing chargeback frameworks, and advising product and engineering teams on business models and financial viability. The role requires strong FP&A experience and an understanding of the enterprise technology and AI/agents space.

Design Verification Engineer for Google's TPU hardware, focusing on ensuring the reliability and performance of AI/ML workloads on the hardware. This role involves full verification life-cycle management, building verification environments, and collaborating with design engineers to verify complex digital designs for AI/ML acceleration.

This role focuses on being a clinical and public health subject matter expert for government partners, helping them understand, integrate, and adopt Google's health solutions. The specialist will translate AI research into practical tools, identify use cases for AI, and foster safe AI adoption within the US health sector. While the role involves understanding and applying AI/ML tools, its core function is product adoption and strategy within the public health domain, not direct AI/ML model development.

This role is a Product Activation Manager for YouTube Live, focusing on bringing GenAI and other YouTube products to market and gathering market feedback to shape product roadmaps. The role involves defining go-to-market strategies, driving product adoption, and collaborating with business and product leaders. While the role touches on GenAI, its core function is product strategy and market activation, not direct AI/ML development.

Software Engineer III, Full Stack, Cloud AI Developer Tools at Google. This role is part of the AI Developer Tools organization, building client-facing applications that integrate Google's AI capabilities into developer workflows. The engineer will be responsible for the end-to-end delivery of tools like Gemini Code Assist and the Gemini CLI. The role involves designing, writing, and testing code, operating with high agency, transforming ideas into prototypes, and collaborating with Tech Leads and PMs to launch features. The position requires full stack development experience and the use of AI tools in daily workflows.

Legal Counsel for DeepMind, advising on legal issues related to AI research, development, and commercialization. Responsibilities include drafting agreements, providing legal advice on AI model lifecycles, and supporting legal team initiatives.

Lead user research and content design teams for Google Search verticals, focusing on user needs and how generative AI redefines mental models. Partner with product, design, and engineering leadership to drive strategy and user-centered experiences.

Senior Software Engineer on the Pixel Audio team, focusing on embedded systems and firmware for earbuds. The role involves designing, developing, and optimizing audio software, with a specific emphasis on architecting features at the interface of voice and Large Language Models (LLMs) within a multi-core, power-constrained environment. Responsibilities include managing performance metrics (MIPS, memory, power) and collaborating with cross-functional teams to deliver features from prototype to launch.

This role focuses on designing and developing optical interconnect technologies for machine learning systems, specifically for TPU and GPU superpods in data centers. The engineer will work on creating next-generation optical transceivers and systems, exploring emerging photonic networking technologies to improve the efficiency of computing systems. While the role supports ML systems, the core craft is in photonic engineering and hardware infrastructure, not direct AI/ML model development.

Google is seeking a Software Engineering Intern to work on AI-integrated software and high-performance applications, focusing on designing, deploying, and maintaining end-to-end infrastructure for large-scale systems. The role involves developing scalable engineering solutions for Google products and applying computer science knowledge to real-world challenges.

This role is for a Senior Product Manager focused on AI-driven operations within Google Cloud. The primary responsibility is to define and execute the strategy for AI solutions that transform production operations, empowering engineers to predict, prevent, diagnose, and resolve issues. The role involves customer advocacy, market analysis, driving product launches, and ensuring seamless integration of AI Ops solutions. While the role leverages AI/ML concepts and aims to launch AI-powered products, the core craft is product management rather than direct AI/ML model development or research.

Customer Engineer for Google Cloud Platform, focusing on SMB clients in Tokyo. This role involves being the technical expert for sales, designing and implementing custom solutions for partners using Google Cloud. Responsibilities include understanding customer technical needs, advocating for Google Cloud products, prototyping integrations, and recommending architectures. The role requires experience with cloud infrastructure, digital native customers, technical presentations, and familiarity with data and AI, including generative AI and agentic AI solutions.