Senior Product Manager, GenAI Media Safety

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 on the Trust & Safety team, you will be responsible for ensuring that Generative AI features for video, image, and audio are safe. You will own the safety of YouTube's next generation of media generation features, by driving (and getting alignment on) safety principles, and then making those principles a reality. This involves extensive cross-functional collaboration to develop AI-powered systems that prevent, detect, measure, and rapidly respond to emerging risks while enabling creative expression.

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 $192,000-$278,000 + 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

• Build a cohesive product vision that aligns safety principles and capabilities with overall YouTube goals. Determine how to effectively implement "safety by design" into media generation pipelines (e.g., balancing prompt filtering, model guardrails, and output classification). 
• Define/Develop evaluation protocols (red teaming, benchmarking) for feature deployment.
• Own and deliver upon the strategy for safety metrics (build the system). Drive execution towards key safety metrics.
• Build a safety platform that can sustainably grow/adapt while ensuring systems are set up to rapidly respond to escalations.
• Define product principles that prioritize long-term user health in the context of AI-generated media. Support this with testing, metrics, and responsibility systems to prevent harm.

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.).
• 2 years of experience in GenAI Media (Image/Video/Audio) safety and gaudrails.
• 2 years of experience building multi-modal safety stacks.

Preferred qualifications:

• Experience with analytical approaches to model evaluations for media, including managing adversarial datasets (red teaming).
• Experience building digital experiences for minors.
• Familiarity with media generation models and applying guardrails to them.
• Demonstrated success in partnering with engineering to make high-stakes architectural decisions, such as weighing the latency, cost, and effectiveness of input prompts vs. output filters vs. model fine-tuning.
• Proven track record of shipping ML-driven safety features for visual or
  auditory content.