Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch.
- 2 years of experience in an analytical role, developing ML-based products or building ML-based classification or ranking systems.
- 2 years of experience in the trust and safety domain or a similar consultative role.
Preferred qualifications:
- 2 years of experience in a role preparing and delivering technical presentations to senior leadership.
- 2 years of experience in a business function or role (e.g., strategic marketing, business operations or consulting).
- 2 years of experience working cross-functionally with engineering, UX/UI and other stakeholders.
- Experience with trust and safety.
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.
The Trust and Safety team works to keep the platform secure. The team leverages technology, including AI and machine learning, alongside policies and partnerships to identify and mitigate risks.
As the Product Manager, you will lead the safety strategy for YouTube's next generation of interactive features. You will be responsible for defining and building the protections that allow the community to connect and engage. This involves cross-functional collaboration with product, engineering, policy, and operations teams to embed safety-by-design principles from the ground up. You will develop AI-powered systems to detect and prevent issues.
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 $156,000-$229,000 + 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
- Leverage ML and AI to build and maintain detection systems with immediate real-world impact, test their performance and iterate quickly.
- Partner with cross-functional teams looking to launch new products safely. Work collaboratively with engineering, feature, legal, policy, operations, UX, and other teams to build systems to enable safety.
- Advocate for user safety and contribute to the development of best practices, policies, and processes.
- Serve as a subject matter expert on safety risks, advocating for user safety in product strategy, feature development, and policy discussions.
- Define and analyze key metrics to evaluate the effectiveness of safety solutions using data-driven insights to evolve strategies and continuously strengthen defenses.
