Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 4 years of experience developing or launching products or technologies within security, privacy, or a related area.
• 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 ML/AI product development.
• Experience in building and shipping machine learning classifiers, recommendation systems, or search algorithms.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 1 year of experience in safety-critical, fraud, abuse, or trust and safety systems.
• Track record of managing system trade-offs (precision vs. recall) in a scale-heavy detection or content moderation environment.

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.

Responsibilities

• Drive the roadmap to scale how Core addresses harmful content.
• Improve the recall of our safety systems by scoping, building, and launching advanced safety protections.
• Build robust feedback loops to measure signal performance and understand how well detection systems are achieving safety goals. Design resilient systems to respond excellently to high-sensitivity risk areas.
• Partner with Google Deepmind (GDM) and Trust and Safety (T&S) teams to identify and prioritize emerging risk areas and design and implement end-to-end systems to mitigate those gaps.
• Expand the usability and adoption of these signals via tooling improvements, with a deep understanding of current and future operational constraints.