Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc.).
• 3 years of experience developing or launching products or technologies within artificial intelligence or machine learning (AI/ML).

Preferred qualifications:

• Experience with A/B testing and experimentation, with the ability to work with business, product, technical teams, and data scientists.
• Experience launching and iterating on successful products in a data-driven environment.
• Knowledge of AI/machine learning, information retrieval, and statistical concepts, with experience with AI/ML, deep learning models, LLMs, data analysis.
• Excellent analytical and problem-solving skills, with experience in data-analysis and experimentation.
  
• Excellent communication and presentation skills.
• Passion for creating positive user experiences.

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's goal is to grow Ads on YouTube sustainably through positive experiences for users. The team works to understand users and partner across teams to measure, balance, and optimize the trade-offs among key customer groups (e.g., users, advertisers, creators).

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $192,000-$278,000 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

• Own the product strategy and roadmap for YouTube's user quality ranking systems. Deliver opportunities through ML algorithms, auction design, and relevance models to drive long-term business growth while protecting the user experience.
• Define key metrics for measuring ranking quality, relevance, and user impact. Design and analyze A/B tests and other experiments to evaluate changes and make data-driven decisions.
  
• Partner with engineering and data science teams to conceptualize, develop, and refine ranking models and algorithms. Understand the technical trade-offs and guide the development of signals and features that improve relevance and quality.
  
• Partner with ML and back-end engineering teams to build and deploy next-generation ranking models (e.g., deep learning, contextual signals, predictive engagement models).
  
• Develop an understanding of user needs, behaviors, and issues related to Ads on YouTube.

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Requisition #: 103180832910254790

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