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Product Manager, Responsible AI Infra

Develop core tools and automated compliance pipelines to ensure the creation of safe, fair, and transparent AI. Collaborate across engineering and policy teams to unblock GenAI model training and enhance researcher productivity.

Mountain View, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 5 years of experience in product management or a related technical role.

* 3 years of experience developing, launching, and maintaining AI or Large

Language Model (LLM) based products.

* 2 years of experience taking technical products from conception to launch

(e.g., ideation to execution, end-to-end, 0 to 1, etc.).

PREFERRED QUALIFICATIONS:

* Master's degree in a technology or business related field.

* Experience with generative AI, LLMs, or data pipelines.

* Knowledge of AI policy, copyright law, or data privacy regulations.

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.
  • AI Data is the driving channel behind Google's rapid delivery of groundbreaking,
  • impactful, and responsible AI. We make GenAI development simpler, faster, and
  • more effective by addressing Responsible AI in GenAI development.
  • Our goal is to create user-friendly, trustworthy, and privacy-preserving data
  • and metadata solutions for AI products. This will not only help Google meet the
  • challenges of the fast-paced AI landscape but will also be crucial for achieving
  • Google's company-wide Objectives and Key Results (OKRs) for significant
  • advancements in artificial intelligence.
  • This role sits at the intersection of AI innovation, engineering, and policy and
  • process. You will play a vital role in Google's GenAI launch velocity,
  • unblocking key training datasets and researcher productivity while building the
  • core data governance foundation that protects Google's products and users.
  • Google Cloud accelerates every organization’s ability to digitally transform its
  • business and industry. We deliver enterprise-grade solutions that leverage
  • Google’s cutting-edge technology, and tools that help developers build more
  • sustainably. Customers in more than 200 countries and territories turn to Google
  • Cloud as their trusted partner to enable growth and solve their most critical
  • business problems.
  • Individual pay is determined by factors including job-related skills,
  • experience, and relevant education or training.
  • US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
  • Learn more about benefits at Google
  • [https://www.google.com/about/careers/applications/benefits/].
  • RESPONSIBILITIES:
  • * Shape and develop core tools that enable the creation of responsible, safe,
  • fair, and transparent AI, taking novel ideas from raw concepts all the way to
  • developer adoption.
  • * Manage a broad range of technical areas, including risk classification tools
  • and automated compliance pipelines, to translate complex policies into
  • scalable software and address legal and compliance risks.
  • * Support technical, scaled processes for GenAI model training, tuning,
  • evaluation, and launch configurations in order to unblock Google DeepMind
  • (GDM) launches and enhance researcher productivity.
  • * Act as a master collaborator across organizational boundaries by presenting
  • technical proposals to engineering teams, delivering risk assessments to
  • cross-functional stakeholders, and securing execution backing from
  • leadership.

Which skills does this role require?

Product ManagementLarge Language ModelsRisk ClassificationCompliance PipelinesCross-functional CollaborationTechnical Product LaunchData GovernanceModel TrainingModel TuningModel EvaluationStakeholder ManagementStrategic PlanningLLMGoogle CloudAI InfraRisk AssessmentComplianceTechnical Product ManagementDeepMindMetadata SolutionsPrivacy-Preserving DataSoftware ScalabilityProduct LifecycleAI EthicsGCP

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