Ads Quality Rater Google Jobs in California (NOW HIRING)

Share Product Manager, Search Ads Quality Modeling

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Google Mountain View, CA, USA ; New York, NY, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Product Manager, Search Ads Quality Modeling

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

• 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 building or integrating AI and ML technologies into ads prediction, auction stack, or quality and ranking systems.

• 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.

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.

As a part of the team, you will be 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 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

As a part of the team, you will be 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 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• 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.
• Collaborate 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), DeepMind, User Experience (UX) and User Experience Research (UXR), and cross-functional partners.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.