Product Manager II, Trust and Safety Detection, YouTube
- San Bruno, California
- Onsite
- full time
- $163k–$236k/year
- Posted today
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About the role
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
(e.g., ideation to execution, end-to-end, 0 to 1, etc.).
* Experience developing or launching products or technologies within artificial
intelligence or Machine Learning (AI/ML).
* Experience in trust and safety, product policy, business strategy, or a
related field.
* Experience developing product strategy for AI/ML-driven products or product
features.
PREFERRED QUALIFICATIONS:
* Experience in trust and safety, content moderation, or abuse prevention for
user-generated content.
* Experience defining quality or safety metrics and building the measurement
behind them (sampling, human rating programs, automated raters).
* Experience owning a platform or shared service used by many internal product
teams.
* Experience making engineering trade-offs between accuracy, speed, and cost in
machine learning systems.
* Experience designing operational response processes with operations or
support teams.
* Ability to bring clarity and decisions to a cross-functional organization.
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.
Most people think of YouTube as a video platform. But every day, people create
far more images and text on YouTube than videos: comments, community posts, live
chat messages, video thumbnails, channel profile pictures, banners, names, and
descriptions. These features are everywhere across the product, they are growing
quickly, and new ones launch all the time. Keeping them safe sustainably is one
of the largest problems in Trust and Safety.
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.Individual
pay is determined by factors including job-related skills, experience, and
relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Understand how our policies, our detection systems, and our human enforcement
fit together today, articulate a compelling picture of where image and text
safety needs to be, and make the case for what has to change—in policy, in
systems, or in process—to get there.
* Define how we measure this for every feature and every policy, and you own
the goals.
* Turn today's one-off, feature-by-feature safety work into a shared system
that any team at YouTube can plug into.
* Support fewer and better detection models instead of many overlapping ones.
* Make deliberate trade-offs about where to spend and where to simplify.
Skills
- Product Management
- Artificial Intelligence
- Machine Learning
- Trust and Safety
- Product Strategy
- Content Moderation
- Abuse Prevention
- Data Analysis
- Cross-functional Leadership
- Technical Product Development
- Measurement Metrics
- Operational Response
- Engineering Trade-offs
- Product Policy
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