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.