Senior Product Manager, YouTube Shorts Discovery

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, end-to-end, 0 to 1, etc.).
• 3 years of experience working with recommender systems and machine learning teams.

Preferred qualifications:

• 5 years of experience working cross-functionally with engineering, data science, UX/UI, sales finance, and other stakeholders.
• 3 years of experience working on shipping consumer products or consumer features.
• Experience with Machine Learning (ML) experimentation methodologies.
• Excellent investigative background and proficiency in leveraging key metrics.

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.

Shorts’ mission is to give everyone a voice and show them the world through short-form video. We seek to provide people with a safe, entertaining, and informative feed of videos. We also aim to inspire people to create Shorts through feed recommendations, making it easy to go from watching to creating.

In this position, you will be instrumental in refining the algorithms that curate the Shorts feed for viewers to make it a satisfying and entertaining experience.

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.

The US base salary range for this full-time position is $183,000-$271,000 + 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.

• Act as the product lead responsible for managing a portfolio of Shorts Discovery products focused to drive viewer growth and creation.
• Work closely with engineering and DS teams to create new methods of measurement and goals to support high quality ML algorithm optimization.
• Develop and own project roadmaps with a focus on ML and recommendation systems.
• Drive development and secure buy-in for a compelling product goal that integrates machine learning and recommendation strategies to enhance the overall product narrative, achieving results greater than the sum of its parts.
• Lead and harmonize processes to define, identify, collect, and track appropriate quantitative and qualitative product or business metrics, including setting up and analyzing ML experiments for new or existing products or business ventures.