Product Manager for Google Search, focusing on evolving Search into the best information agent by delivering Gen AI responses across core AI surfaces. The role involves defining and driving new productivity cases, ensuring discoverability and accessibility of AI products, and partnering with engineers to translate product bets into tangible deliverables for a Generative AI Search experience.

Product Manager for Agentic Search at Google, focusing on building agentic features to handle complex user journeys and enable users to accomplish tasks seamlessly across sites and services. The role involves defining product strategy, guiding development from conception to launch, and managing cross-functional teams in a rapidly evolving AI landscape.

Google is seeking a Group Product Manager for their AI and Infrastructure team. This role involves guiding AI/ML products from conception to launch, defining product roadmaps, and developing strategic goals for agentic applications. The position requires extensive experience in product management within the AI/ML domain, with a focus on cross-functional collaboration and delivering AI/ML products at scale.

Product Manager role focused on defining and leading the product strategy for user interaction with AI, specifically integrating LLM capabilities into products like intelligent assistants. The role involves defining roadmaps, prioritizing requirements, leading cross-functional teams, driving go-to-market strategies, and staying knowledgeable about advanced AI technologies and their emerging capabilities. Experience with AI model evaluation and user perspectives for AI products is preferred.

Technical Program Manager to drive strategy and execution for AI agent initiatives transforming the software development lifecycle. This role involves leading complex, cross-functional programs at the intersection of AI and product, focusing on democratizing app creation and building a virtual software engineering workforce. Requires navigating ambiguity from 0-to-1 product phases and partnering with various Google teams to bring self-sustaining agents to life.

The Forward Deployed Full Stack Group Product Manager will embed with strategic partner teams to co-build production-ready AI agents and ML efficiency solutions. This hybrid role combines product engineering and orchestration, using AI-native tools and agentic engineering to rapidly prototype and deliver bespoke, high-impact solutions in high-velocity environments.

Product Manager for GeminiApp, DeepMind, responsible for defining the core rulebook for Gemini's default behaviors, personality, and interaction style. This involves navigating subjective trade-offs, balancing model IQ and EQ, and developing frameworks for evaluating model quality from a taste perspective. The role collaborates closely with research, engineering, and post-training teams to bring the model's personality to life and ensure alignment with product goals and constitutional AI principles.

This role focuses on evaluating AI model performance for health applications, leveraging clinical expertise to guide product development and ensure safety, quality, and efficacy. It involves applying evidence-based practices and contributing to the real-world implementation of AI health products.

Product Manager for an Automotive AI Agent Platform, focusing on building voice and multimodal interfaces for machine learning systems in the automotive industry. The role involves managing the platform, collaborating with engineering on SDKs for OEMs, understanding customer requirements, defining the roadmap, and bringing new features from research to customers.

Product Manager for YouTube's Growth Platform, focusing on ML ranking algorithms for content promotion to drive user engagement and subscriptions. This role involves leading the ML roadmap, partnering with engineering and data science, and defining principles for content promotions.

Product Manager for Omni-Channel Gateway, focusing on generative AI customer experiences and agentic orchestration. The role involves defining product strategy, forging partnerships, and guiding high-throughput backend systems from ideation to enterprise scale, with a focus on integrating human agents, virtual agents, and enterprise systems.

Product leader for Google Labs focused on incubating 0-1 AI products, identifying whitespace opportunities, and navigating ambiguity to achieve product-market fit. Requires experience building AI-native consumer or creative products from conception to launch.

Quantitative UX Researcher focused on user behavior and product quality/trust within Google Search, leveraging empirical methods and collaborating with engineering and product teams. The role involves analyzing user data, influencing stakeholders, and driving product improvements, with a requirement for experience in shipping ML, NLP, or LLM-powered products.

Director of Product Management for Safety & Privacy for the Gemini App, focusing on building trustworthy and secure generative AI products. The role involves leading a team to develop safeguards against AI risks, design privacy controls, and ensure data governance, while meeting global regulatory standards. Requires technical understanding, regulatory awareness, and leadership.

This role focuses on ensuring the safe launch of Generative AI models, acting as a key advisor and strategist for cross-functional teams. It involves anticipating risks, designing testing strategies, analyzing results, and driving mitigation and post-launch monitoring, with a specific emphasis on Text Models, Model Personalization, Model Governance, and Health/Mental Health.

Product Manager for YouTube Ads User Quality, focusing on ML algorithms, auction design, and relevance models to improve ranking systems and user experience. This role involves defining metrics, designing A/B tests, and partnering with engineering and data science teams to develop and deploy next-generation ranking models.

Product Strategy and Operations Principal for Google Cloud AI, focusing on evolving legacy systems to Agentic ecosystems. This role involves strategic analysis, roadmap development, and translating AI infrastructure needs into business strategies and Go-To-Market plans, with a focus on designing agent systems.

This role focuses on shaping generative AI experiences within Google Search by leading model behavior design, content strategies, and training methods. The Staff UX Content Designer will develop frameworks, rubrics, and evaluation methods to ensure high-quality, trustworthy responses, working closely with researchers, PMs, and engineers. The role emphasizes influencing response quality, building user confidence, and defining standards for a reliable search experience.

Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation.

This role focuses on architecting and guiding the AI intelligence strategy for Demand Planning and promotion management systems within Google's Platforms and Devices organization. The goal is to create an AI-native future for commercial platforms by enabling teams, processes, and AI Agents to work together. The Lead will design predictive decision models and actionable insights to enhance business growth and operational efficiency, modernize planning workflows, and improve demand forecast accuracy by leveraging AI. Responsibilities include defining AI goals, product needs for AI-driven tools, leading cross-functional teams to integrate AI into demand planning, implementing solutions using low-code and agentic frameworks, and defining KPIs for AI solutions.

This role sits at the intersection of product development and creative storytelling within Google Search Marketing. The Creative Technologist will bridge the gap between engineers, researchers, and creatives by prototyping and developing novel demos that showcase the capabilities of AI features like generative AI, visual search, and multimodal experiences. The role involves translating complex technology into compelling technical storytelling, identifying new use cases, and executing technical demonstrations for high-visibility events. It requires a blend of technical and creative skills to inspire teams and develop breakthrough creative concepts.

This role focuses on ensuring the safety and trustworthiness of Generative AI experiences for young users, specifically in educational contexts. The Senior Strategist will develop and implement product safety strategies, analyze risks, and work with engineering and product teams to build responsible AI capabilities, including those for image, video, and agentic AI. Key responsibilities include analyzing data to identify and combat abuse, enhancing operational workflows, improving model safety, debugging escalations, and managing technical projects.

Technical Program Manager III, Machine Learning, Core at Google. This role focuses on driving innovation in machine learning to enhance Google's products, working with cross-functional teams to manage complex programs from start to finish. The role requires understanding ML technologies and their applications, managing schedules, and communicating with stakeholders at all levels. The team is responsible for AI and Infrastructure at scale, supporting Google's products and customers.

Product Manager for Google Ads Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. The role involves strategy development, cross-functional collaboration, and understanding the competitive retail landscape to drive the deployment of ML/LLM solutions. Experience with AI-native products and agentic commerce is preferred.

Product Manager for Generative AI on Google Cloud Platform, focusing on driving AI-driven experiences and solutions from ideation to production. This role involves cross-functional collaboration, roadmap definition, and staying current with Generative AI technologies to evolve product offerings.

This role focuses on shaping user experiences for AI products, particularly in consumer devices and services. The Model UX Writer will define the AI persona, craft systems for human-AI interactions, and translate user needs into intuitive AI-driven solutions. Success requires collaboration with researchers, product managers, and engineers, with a focus on content architecture and conversational AI design.

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.

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.

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.

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.

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.

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.