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Product Manager, Android Agentic AI Experiences
发布于2026-05-07
Google 员工人数:139,995 (2021) 行业分类:Artificial intelligence, Advertising, Cloud computing, Computer software, Computer hardware, Internet

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or related technical role.
  • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
  • Experience building agentic technologies.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
  • 2 years of experience in software development or engineering.
  • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • 1 year of experience in technical leadership.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Our team is building transformative AI-powered automation and in-flow assistance experiences that seamlessly integrate into users daily workflows on Androids large screen form factors.

In this role, you will work at the intersection of DeepMind's AI models and Android's massive global scale. You will own a zero-to-one product pillar focused on bringing agentic AI experiences natively to Android's large screen form factors. With your strategic thinking, technical acumen, and collaboration skills, you will navigate a dynamic landscape and deliver transformative agentic AI experiences.

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Responsibilities

  • Drive the definition, execution, and launch of our AI-powered agentic experiences pillar for Android large screens.
  • Lead the team in building, testing, and validating novel user-facing AI concepts, keeping a relentless focus on solving real user problems rather than just showcasing technology.
  • Act as the connective tissue between our engineering team, global Android ecosystem partners, and DeepMind to unblock technical constraints and deliver product.
  • Design and execute comprehensive user testing for feature, translating quantitative and qualitative UX research into actionable engineering requirements.
  • Define and track the core success metrics (adoption, latency, user satisfaction) for launched feature.

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