Google

This role is for a Strategic Alliance Manager III on the Google Cloud Security team. The primary focus is on developing and managing strategic partnerships with Managed Security Service Providers, Telcos, GSIs, and Cloud Partners to embed Google's Security suite of products. The role involves collaborating with Sales, Marketing, and Product Management to drive security sales, partner success, and business growth. It requires analyzing market trends, developing recommendations, and understanding partner business strategies. While the role is not directly building AI models, it involves working with AI/ML and cybersecurity solutions within a partner ecosystem.

This role focuses on power modeling for Google Pixel devices, optimizing battery life and power efficiency by developing methodologies, simulation tools, and data analytics. The engineer will influence hardware decisions based on AI workload simulations and real-world user behavior, impacting millions of users. The role involves designing power modeling methodologies, processing device analytics, creating subsystem models, building visualization tools, and projecting power impacts of future features.

Google is seeking an engineer to work on infrastructure for AI-powered Workspace products, focusing on developing and enhancing software solutions that will shape the future of productivity tools. The role involves managing project priorities, designing, developing, testing, deploying, and maintaining software, with a focus on large-scale infrastructure and distributed systems, and collaborating with AI model builders.

Google is seeking a Data Center Analytics Engineer to design and implement advanced analytics, AI/ML integrations, and data visualizations. The role involves owning data engineering workstreams, collaborating on custom web applications, and engaging with stakeholders to solve business problems. The position requires a Bachelor's degree in Computer Science or equivalent experience, with 5 years in analytics and data science applications, and 5 years in data engineering. Experience with Machine Learning and AI Integrations, and web development are preferred.

This role focuses on architecting camera systems, graphics, video, and display pixel processing for AR/XR products, aiming to accelerate the adoption of spatial computing. The position involves defining end-to-end pixel processing pipelines, from sensor to output for human or AI consumption, and collaborating with various partners. While the role touches upon AI and computer vision, its core is in hardware and system architecture for XR devices, not direct AI model development.

This role is for a Senior Software Engineer on the Google Compute Engine (GCE) team, focusing on building and optimizing the foundational infrastructure for AI/ML workloads. The engineer will lead the introduction of new VM families, analyze and optimize VM performance, develop software components for reliability and performance, and provide engineering support for existing VM families. The role requires experience with IaaS, large-scale infrastructure, distributed systems, and virtualization, with a focus on supporting the growing demand for AI/ML computing.

Technical Program Manager III for Google Search and Translate, focusing on driving AI-powered feature development and model evaluation for consumer-facing products. Requires experience with prompt engineering or AI agents and understanding of ML/AI techniques.

Visual Designer for AIUX at DeepMind, focusing on user-centered design for AI-driven experiences. Responsibilities include leading visual design direction, developing visual languages for novel AI experiences, crafting motion design to clarify AI behaviors, and producing various design artifacts. Collaborates with multidisciplinary teams. Requires a Bachelor's degree in Design or related field, 6 years of visual design experience, and a portfolio. Preferred experience includes designing for AI/ML products and complex systems.

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.

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 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.

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.

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.

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.

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.

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 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.

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.

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.

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.

Product Counsel for Google DeepMind, focusing on data strategy for AI models, products, and systems. The role involves advising cross-functional teams on legal matters, forthcoming regulatory changes, and ensuring compliance with AI and data regulations. This position requires deep understanding of the AI model lifecycle, privacy regulations, and the ability to translate legal requirements into technical specifications.

Product Counsel for Gemini models, advising Research and Product teams on legal matters related to AI development and release, regulatory changes, and establishing governance frameworks for AI model lifecycles.

Sales role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying AI use cases to deliver business value. The role involves working with customers and internal teams to develop go-to-market strategies and drive pipeline growth.

Software Engineering Manager for database solutions in the semiconductor manufacturing domain, managing a team and overseeing the lifecycle of database applications. The role involves leveraging AI/ML methods like Gemini for technical excellence and productivity improvements.

Senior Product Manager for Google's Silicon, Audio, and Speech division, focusing on defining product roadmaps for Audio and Speech hardware and software solutions that leverage Google's AI/ML capabilities. The role involves cross-functional collaboration with engineering, research, and device teams to bring differentiated features to first-party devices, with a strong emphasis on silicon products powering mobile devices and experience with audio/NLP solutions and ML/LLMs.

Technical Program Manager focused on scaling and operationalizing AI solutions within Google's AI and Infrastructure team. The role involves program management, stakeholder communication, and driving AI project delivery across complex, multi-disciplinary projects.

Manage a team of BI Developers building data pipelines and analytical models for Google Cloud Go-to-Market teams, focusing on AI-enabled BI solutions and conversational analytics using tools like Looker and Gemini models.

This role focuses on developing and implementing evaluation frameworks to assess the quality of Generative AI tools within an educational context. The specialist will leverage learning science principles to consult with product development teams and lead discussions on how GenAI can shape better learning outcomes. While not directly building AI models, the role is critical in evaluating their impact and quality in educational products.

This role manages vendor operations, focusing on transitioning to tech-forward operations and integrating Generative AI and LLM-powered tools into supply chain workflows. The manager will lead business reviews, monitor SLAs using AI-enhanced analytics, oversee financial operations, and ensure cost optimization through automation and efficiency.

Senior Interaction Designer focused on creating personalized AI experiences within Google Search, transforming complex tasks into intuitive user interfaces. The role involves designing and prototyping AI-driven features, collaborating with cross-functional teams, and advocating for user-centered design principles in AI product development.

This role is a Product Strategy and Operations Lead for Google's AI and Infrastructure Cloud business. The individual will work with product management, engineering, and other cross-functional teams to develop business and product strategies, drive strategic projects, incubate new initiatives, provide analytics support, and facilitate business operations. The role involves working closely with leadership to define key business metrics, perform market analysis, and support Go-to-Market strategy. While the role is within an AI and Infrastructure team, it focuses on the business and operational strategy rather than direct AI/ML model development.

Senior Staff Software Engineer for the Gemini mobile application at Google DeepMind, focusing on delivering new features, driving cross-functional collaboration, and ensuring scalability and performance. The role involves technical leadership and influencing engineering teams within the Gemini ecosystem.

This role focuses on developing and managing strategic partnerships within the Google for Education business, with a significant emphasis on driving the adoption of artificial intelligence in educational products and initiatives. The role involves shaping product roadmaps, enabling collaborations, and executing agreements to enhance product quality and reach students and teachers globally.

This role is a Strategic Lead for Trust and Safety at Google, focusing on developing and executing strategy for assigned pillars and managing an organization-wide AI transformation initiative. The role involves translating high-level goals into measurable plans, defining KPIs, preparing data-driven narratives, and acting as a liaison between teams. The AI transformation aspect focuses on empowering teams with new agentic tools and redesigning processes.

This role focuses on sourcing and negotiating third-party data partnerships to power foundational AI models like Gemini. The associate will act as a liaison between researchers and external partners, managing the agreement lifecycle and ensuring a pipeline of data assets aligned with AI model priorities.

This role is for an Executive Strategy and Programs Lead within Google Cloud's Global Partner Ecosystem. The primary focus is on managing the operational cadence for the leadership team, preparing executive stakeholders, and leading cross-functional initiatives. A key aspect of the role involves identifying and piloting AI tools to enhance productivity and drive strategic impact. While the role utilizes AI tools, it does not involve building or shipping AI models.

UX Research Manager for AI Mode in Google Search, focusing on understanding user needs and behaviors with AI-powered search results. The role involves leading a team of researchers to inform the development of AI features and ensure user-centricity in the product development process.