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Product Manager, YouTube Ads Marketplace Optimization and ML - Google Careers
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Product Manager, YouTube Ads Marketplace Optimization and ML
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corporate_fareYouTubeplaceMountain View, CA, USA
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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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 + 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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
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