Product Manager, Content Safety Protections

Please submit your resume in English - we can only consider applications submitted in this language.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, Minas Gerais, Brazil; São Paulo, Brazil.Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in product management or related technical role.
• 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 1 year of experience in software development or engineering.
• Experience deploying security or safety classifiers.
• Experience in privacy, security, online safety, counter-abuse measures or areas related to building technology governance tools.
• Experience building compelling narratives, onboarding and maximizing partners in complex implementation projects.
• Ability to communicate effectively and serve as a technical advocate to promote and accelerate the adoption of a platform.

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 Content Safety Protections team builds and scales the proactive AI safety classifiers, evaluation benchmarks, and partner onboarding frameworks that keep billions of users safe across Google's flagship Generative AI products and foundation models—including the Gemini App, Vertex AI, Search AI Mode, YouTube, and more.

Why join us now? Every frontier model drop and GenAI product launch at Google depends on safety evaluations and seamless protection integration. Our team sits at the center of how safety is measured and adopted company-wide. You will join a collaborative, globally distributed team where you will own high-visibility cross-Google programs.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Support Product Requirements Documents (PRDs) by collaborating with partner teams (e.g., engineers, Program Managers, UX) during product design and development to implement the requirements.
• Define product roadmaps by operationalizing defined strategy.
• Articulate defined product goals in a way that captures attention and compels others to drive action despite obstacles and competing priorities.
• Drive end-to-end partner intake and define the processes used to deeply understand internal clients' needs, establishing the baseline requirements for content safety classifiers across the company's flagship GenAI products.
• Leverage client insights to partner directly with Machine Learning engineering teams on end-to-end classifier workstreams. Support new model version launches, production latency and precision evaluations, legacy signal deprecations, and client migrations.

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 .