Product Manager, YouTube Ads Marketplace Optimization and ML
Software Engineering, Product, Data Science
Mountain View, CA, USA
USD 163k-237k / year + Equity
Product Manager, YouTube Ads Marketplace Optimization and ML
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 3 years of experience as a product manager optimizing digital advertising ranking products or on-demand two-sided marketplaces like ridesharing or food and grocery delivery.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
Preferred qualifications:
- Master's degree in a technology or business-related field.
- Experience with Ads ranking, bidding, or marketplace optimization for large-scale markets.
- Experience leading technical teams to resolve issues in at-scale machine learning and smart bidding products.
- Experience using SQL to perform data analysis and make informed product decisions.
- Experience in a business function role such as strategic marketing, business operations, or consulting.
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.
YouTube Ads powers the YouTube ecosystem by keeping it free and engaging for users, rewarding creators, and connecting businesses to consumers worldwide. The YouTube Ads Marketplace Optimization team focuses on growing long-term revenue by solving complex problems in automated bidding, machine learning, AI, and personalization.
In this role, you will work on exciting machine learning and bidding problems that power advertisements across all YouTube surfaces, including In-Stream, Shorts, Feeds, on mobile, TV, and desktop devices.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop deep insights into advertiser and user behavior on YouTube to inform product strategy.
- Define and execute a comprehensive strategy for improving bidding algorithms and machine learning models.
- Optimize the YouTube Ads marketplace to drive long-term advertiser value and revenue.
- Partner with engineering and data science teams to solve technical challenges in the prediction and bidding stack.
- Manage the product lifecycle from proof-of-concept to launch and advertiser adoption.
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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.
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