Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 3 years of experience training, tuning and assessing machine learning models for launch readiness.
- 3 years of experience taking technical consumer products from conception to launch.
Preferred qualifications:
- Master’s degree or PhD in a technology or business related field.
- 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
- 2 years of experience leveraging large language models for video understanding, user modeling, and content recommendations.
- Experience partnering with Data Science and engineering to develop a strategy to rapidly grow viewer engagement, creator engagement, ads or similar marketplaces.
- Experience in running scaled A/B testing.
- Excellent problem-solving skills.
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.
In this role, you will help build the future of YouTube recommendations. You will improve recommendations for viewers across YouTube shorts, YouTube home feed, and watch next by making these systems more aware of viewers’ shopping interests and their intent to purchase. You will work across all YouTube recommendations teams and be at the forefront of applying Large Language Models (LLMs) to improve recommendations systems.
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.
Responsibilities
- Define the strategy and roadmap for the Shopping user modeling and content recommendations.
- Partner closely with engineering and data science to define metrics that encode for success and align cross-functional team members and partner teams on goals.
- Present goals and strategy regularly to executive leadership and drive buy-in on key product decisions and developments.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.