Platform PM - Experiments & ML

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in product management or related technical role.
• 1 year of experience managing technical consumers or ads products from conception to launch.
• Experience with SQL, experiment design, and analysis.

Preferred qualifications:

• Master’s degree or PhD in a Technology or Business related field.
• 2 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
• 1 year of experience in software development or engineering.
• Experience with promotional recommendations and ranking models.
• Experience with ads measurement and reporting tools.

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.

You Tube Growth Platform is an important lever to drive You Tube’s subscription business. Our goal is to connect users with relevant You Tube paid experiences like Premium, You Tube TV, Sunday Ticket, Channel Membership, and Primetime Channels.

In this role, you will define and launch Machine Learning (ML) experiments that grow our paid products and improve our platform’s effectiveness. You will be responsible for executing on team priorities, improving the user experience through experimentation and collaboration, developing strategy, and driving the roadmap for this area. You will collaborate with all our paid product teams, and work directly with engineering and analyst teams on You Tube’s growth platform.

At You Tube, 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 $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Launch new growth campaigns and features throughout the You Tube experience.
• Improve the user experience with our paid product promotions through experimentation and iteration.
• Analyze and synthesize data from experimentation, user research, and platform behavior to inform product roadmap.
• Work collaboratively with engineering, marketing, legal, UX, and other teams on technologies such as machine learning and large language models.
• Develop solutions to problems by collaborating across regions, product areas, and functions as needed.