Product Manager, Information Quality (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Product Manager, Information Quality (AI): Responsible for shipping cutting-edge AI research breakthroughs into Google’s AI models and products with an accent on addressing challenges surrounding misinformation and advancing the detection and provenance of genAI content. Focus on incubating new agentic tools designed to promote information literacy and help users navigate an increasingly complex digital world.
Location: Mountain View, California, US
Salary: $240,000 - $334,000 USD + bonus + equity + benefits
Company
is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.
What you will do
- Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust.
- Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge genAI detection and misinformation mitigation technologies.
- Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content.
- Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future.
- Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products.
- Incubate entirely new products or frameworks focused on societal resilience and trust.
Requirements
- BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field.
- Deep understanding of AI models and their implications for content generation and dissemination.
- Demonstrated experience in building AI products rooted in trust & safety, information retrieval, content provenance, or misinformation detection.
- A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems.
- Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems.
- Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools.
Culture & Benefits
- Value diversity of experience, knowledge, backgrounds and perspectives to create extraordinary impact.
- Committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition or any other basis as protected by applicable law.
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