Product Manager, Consumer Shopping, Visual Inspiration

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 3 years of experience in product management or related technical role, taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

• Experience building and deploying consumer-facing products focused on customer experience.

• Experience building and designing AI-powered products or features.

Preferred qualifications:

• Master's degree in a technology or business related field.

• 2 years of experience in a business function or role (e.g., marketing, business operations, consulting).

• 2 years of experience in a role preparing and delivering technical presentations to senior leadership.

• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

• 1 year of experience in software development or engineering.

• Knowledge of, or continued interest in building accessibility best practices, and experience/curiosity for incorporating accessibility into product development methodologies.

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.

Every day, billions of consumers turn to Google for help with their shopping needs. The Consumer Shopping team is responsible for building the platforms and experiences that serve these users and ecosystems. We provide comprehensive results and help shoppers to discover, compare, and purchase products across Google Surfaces. We support and partner with the entire retail ecosystem, from large retailers to small local shops, to help them build their brand, be discovered and foster lasting customer relationships, and build sustainable businesses to thrive in today’s omnichannel world.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

• Define and execute the strategic roadmap for AI Mode. Partner with cross-functional product leaders to unlock high-growth opportunities and deliver on the company’s highest-priority e-commerce ambitions.

• Maintain a pulse on global retail trends, evolving consumer behaviors, and breakthrough technologies to keep our product suite ahead of the curve.

• Collaborate seamlessly across Google teams—including Product, Engineering, Marketing, Legal, and Finance—to ensure tight integration and execution against core business objectives.

• Advocate innovation by motivating engineering teams to build and deploy complex software solutions, with a strong focus on modernizing core architecture using advanced ML and LLMs.