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Product Manager, Content Safety Protections

GoogleBelo Horizonte, Minas Gerais, Brazil; São Paulo, Brazil
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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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