Senior Product Manager, Retail Ads

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience building and scaling consumer or ads products with AI, with experience in Ads and Retail products (across end-consumers and advertiser needs).

Preferred qualifications:

• Understanding of AI-powered user experiences, of development/prompting/iteration process leveraging AI; and of AI tools and technologies.
• Ability to interpret and derive next steps from metrics, iterate and execute rapidly and with quality in a fast-changing environment; and creatively solve problems.
• Ability to work effectively in a high visibility environment; and work against rapid timelines.
• Ability to create a compelling product strategy and roadmap, and secure executive and cross-functional buy in.
• Excellent technical proficiency and ability to work closely with engineering partners.

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.

The Retail Ads team focuses on empowering businesses in the retail ecosystem to successfully achieve their marketing goals through advertising with Google, while creating compelling, relevant consumer experiences in shopping on Search. The Retail Ads Consumer Experiences team specifically focuses on these shopping experiences that billions of users engage with, continuously innovating on formats, whole-page experiences, and content to help shoppers meet their goals effectively. 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Develop the overall strategy for how to drive consumer, advertiser, and Google value in Retail Ads, by reimagining the shopping experience with Ads and with AI.
• Identify step changes in user value/experience that leverage new AI capabilities, and leverage AI tools to boost productivity/outcomes while building on strong expertise and foundation.
• Demonstrate strong understanding of user needs, quality of experience, and metrics, and rapidly, creatively problem-solve and adjust product based on learnings.
• Collaborate with the broader Ads organisation and organic counterparts to ensure we are building and delivering a holistic, cohesive shopping experience for users.
• Leverage stakeholder management and negotiation skills, ecosystem and model thinking, and financial acumen.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.