Senior Product Manager, AI Labs

NPR-posted about 3 hours ago
$133,000 - $146,000/Yr
Full-time • Mid Level
Hybrid • Washington, DC
1,001-5,000 employees
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The Senior Product Manager, AI Labs, is a new role at NPR that will be core to building NPR's first GAI-focused product development team. Reporting to the VP of AI Labs, this person will lead the strategy for utilizing generative AI technologies to enhance the quality and actionability of our content metadata, collaborate with other teams on integrating AI products into systems, and serve as a subject matter expert on AI enablement and scalability. This is an opportunity to fundamentally influence NPR's AI adoption product strategy and help build a new, lean, and innovative function at NPR. This role balances strategic product leadership with AI consultation, ensuring AI-driven features align with business objectives, ethical guidelines, and industry best practices. This individual should possess a healthy balance of passion and skepticism regarding generative AI technologies and be prepared to discuss their work transparently and effectively.

  • Product Strategy & Roadmap: Define and drive the vision for NPR's AI-powered metadata strategy.
  • AI Enablement & Consultation: Advise internal teams on AI-driven opportunities and best practices as an SME.
  • Cross-functional Collaboration: Work with engineers, data scientists, and content teams to develop and scale AI-driven solutions.
  • Data-Driven Optimization: Utilize analytics, user testing, and experimentation to enhance AI product performance and user engagement.
  • Stakeholder Communication: Translate AI capabilities into clear product strategies and updates for leadership and teams.
  • Ethical AI & Compliance: Ensure AI products align with company policies and responsible AI practices.
  • Market & Technology Research: Stay informed on AI advancements and industry trends to drive innovation.
  • 5+ years of product manager experience
  • 2+ years of working with generative AI, machine learning or data products
  • Demonstrable understanding and experience building products that leverage Large Language Models, RAG architectures, prompting, function calling, retrieval, vector databases, embeddings, fine-tuning, and model evaluation
  • Excellent communication skills and the ability to explain complex technological subjects to non-technical stakeholders
  • Ability to lead difficult prioritization discussions and to facilitate efficient and effective decision-making
  • Strong command of the OKR framework, including the ability to define leading indicators and use data analytics to rigorously track progress against Key Results
  • A collaborative and respectful approach to work and an ability to adapt quickly to change
  • A deep commitment to the mission of NPR and to the responsible implementation of Generative AI technologies
  • Experience working in media organizations and an understanding of media delivery systems
  • Proficiency in Python for data analysis and experience creating functional prototypes to validate technical feasibility and user flows
  • NPR offers access to comprehensive benefits for employees and dependents.
  • Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options.
  • Benefits include access to health and wellness, paid time off, and financial well-being.
  • Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.
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