Join our dynamic team as a Product Manager, focusing on Agentic technologies for Customer Engagement. This role offers the exciting opportunity to shape products that impact millions of users globally. You'll bridge the technical and business landscapes, transforming complex challenges into actionable product development steps.

At Google, we thrive on collaborative innovation. As part of the Customer Engagement (CE) team within Ads, you will contribute to developing cutting-edge AI systems. These solutions revolutionize how customers interact with Google's vast ecosystem, including products like YouTube, Play, and Search, managing everything from issue diagnosis to resolution with human agent support.

Define and champion the product vision, strategy, and roadmap for the Cases AI Agentic system, ensuring its features and quality align with user needs.

Manage the product backlog, making critical trade-off decisions and overseeing the entire product lifecycle from initial concept through launch and ongoing iteration.

Translate user needs and business objectives into detailed product specifications, user stories, and comprehensive Product Requirements Documents (PRDs).

Collaborate closely with Engineering, UX Designers, UX Researchers, and Technical Program Managers to conceptualize, design, and deliver innovative solutions.

Engage with key stakeholders, including Sales teams, Analysts, and Global Business Organization (GBO) partners, to deeply understand their challenges and identify opportunities for improvement.

We are seeking candidates with a Bachelor's degree or equivalent practical experience, possessing at least 3 years of experience in product management or a comparable technical role.

A minimum of 1 year of experience in guiding technical products from inception to market launch is essential, encompassing the full lifecycle from ideation to execution.

Proven experience in building agentic technologies is a key requirement for this position.

Preferred qualifications include a Master's degree in a technology or business-related field, along with 2 years of experience in a business function such as strategic marketing, operations, or consulting. Familiarity with Generative AI, LLMs, and experience launching features in cross-functional environments are highly valued.