Product manager jobs in New York, NY

About the role

The Publishing group at the New York Times is responsible for the content management system for all of the Times: one that empowers development teams to build and evolve innovative experiences with speed and agility, and one that empowers editors and creators with a unified and interconnected suite of tools they can use with confidence to make the world's best journalism. We are seeking a curious, collaborative, and analytical Technical Product Manager II to lead strategy and development for content metadata, focusing on attribution, taxonomy, and the development of a knowledge graph. As a Technical Product Manager II, you will own a vision for metadata systems that takes into account editorial needs and objectives, the requirements of our AI Platforms and Products group, Partnerships, differences across Times brands (News, Cooking, Wirecutter, The Athletic, and Games) and multimedia content types, and the requirements of our journalistic mission. You'll provide strategic direction for and oversee the execution of a product roadmap, leading a team of engineers. You'll report to the Senior Technical Product Manager, Content Data Products. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2 days/week.

What you'll bring

• 3–5 years of experience in technical product management, metadata architecture, digital asset management/content management systems, or enterprise information systems.
• Proven track record of successfully launching and managing complex software products.
• Experience communicating complex technical concepts to a variety of audiences.
• 3+ years of experience working with engineering teams
• Understanding of SQL and an intuitive grasp of relational database architecture.
• Must be comfortable diving into database schemas to audit and understand data structure.
• A proven track record of entering ambiguous cross-functional spaces, conducting independent research, interviewing diverse stakeholders, and defining technical requirements.
• A degree in Computer Science, Data Science, or Library/Information Science with a focus on Information Architecture or Taxonomy.
• Proven experience managing data classification, complex metadata models, or combining disparate datasets across multiple systems.
• Familiarity with knowledge graphs, semantic web concepts, or an active curiosity about how structured metadata powers modern search engines and AI features.
• Experience working in an Agile environment

Benefits