Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc.).
• Experience launching machine learning based products.
• Experience leading products that leverage foundational models or LLMs.

Preferred qualifications:

• Master's degree, PhD, or equivalent practical experience.
• Experience with quality or modeling specific product management (e.g., ranking, content retrieval or disabling, automated evaluation or ground truth generation, etc.).
• Experience in a product management role.
• Ability to communicate topics, and switch between high-level concerns (e.g., strategy, macroeconomic effects) and low-level issues (e.g., how costs will move for a single query).
• Excellent analytical and problem solving skills, with attention to detail.

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.

The team is at the forefront of bringing the latest advancements in foundational models to ads. As a Product Manager in the Ad Relevance and User Quality team, you will play a key role in building the ML models that are responsible for showing useful ads to users across Google Search and AI Mode. You will work with a high-performing engineering team, and partner with teams across Google (including research teams in Google Research and Google DeepMind) to build AI systems that continue to raise the quality standards for search and shopping ads on Google.

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Develop insights of user behavior and sentiment on Google, and contribute to the long-term growth of the search advertising business.
• Translate knowledge into ways to better model quality user experiences, either through new models/approaches or enhancing existing models.
• Drive leadership alignment and buy-in on high visibility projects.
• Work with auction teams to better understand and account for user experience in the search ads auction.
• Partner with product teams in Search Ads and Ads on Google Experiences (SAGE), Google DeepMind, UX/UXR, and cross-functional partners.