About this role

Google is hiring a mid-level Product Manager based in Mountain View, CA | San Bruno, CA. The posting calls out experience with Data Structures, Machine Learning, A/B Testing. Listed education preference: a master's degree or equivalent. Compensation is listed at $163,000–$237,000 per year.

Role: Product Manager
Function: product
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Mountain View, CA | San Bruno, CA
Education: Master's degree
Posted: Jun 26, 2026

AI Summary

Mid-level Product Manager guiding YouTube's Growth Platform products from conception to launch. Work cross-functionally with engineering, design, and marketing to build ML ranking algorithms driving engagement and watchtime goals. Analyze user data, position features, and deliver technical presentations to secure executive buy-in for product initiatives.

Upgrade to Pro for AI summaries, resume match scores & career intelligence →

Job description

from Google careers

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’s Growth Platform delivers billions of in-app messages to viewers and creators every day to drive product growth and discovery. It is a critical growth channel for driving YouTube paid subscriptions, including premium, primetime channels, channel memberships, and for promoting new features and educating users. More recently, nitrate has expanded into promoting watchtime engagement goals. These include ensuring YouTube shows up for cultural moments like the Olympics and Met Gala, driving tune-in for prominent livestreams like National Football League (NFL) games and the Oscars, and promoting segments of content like music releases, free movies and shows, and podcasts. To support this growth, we are investing in ML ranking algorithms for watchtime goals that both are fleeting and evergreen.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.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

Lead the growth platform ML roadmap for content promotional goals including both watchtime and free feature usage.
Partner with engineering and data science to develop a ranking function for content promotional goals, using signals like predicted watchtime and conversion rate.
Partner with over-the-top (OTT) tech and Marketing teams to drive incremental watchtime during livestream and cultural moments.
Draft principles and guardrails on the types of content promotions we will support.
Advocate growth platform impact for content promotional goals across YouTube Tech teams.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in product management, including taking technical consumer products from conception to launch.
Experience with A/B testing and experimentation methodologies.
Experience building Machine Learning (ML) ranking algorithms to drive engagement.
Experience working cross-functionally with Engineering, UX, and Marketing to deliver platform features.

Preferred qualifications:

Master's degree in a technology or business related field.
Experience with digital advertising products or growth marketing technology.
Experience with Machine Learning (ML) experimentation methodologies.
Experience delivering technical presentations to executive leadership and securing buy-in for ML-driven product ideas.
Experience with ads relevance improvement for consumer products.
Passion for the YouTube ecosystem and an understanding of platform growth levers for both creators and viewers.