Technical Product Manager II, Content Metadata

The New York Times; New York (NY); Hybrid; USD 120,000 - 142,000; Full time

Job summary

The New York Times is seeking a Technical Product Manager II to own strategy for content metadata, attribution, taxonomy, and a knowledge graph. You will lead roadmaps with editors, data scientists, and engineers, balancing editorial needs with AI platform goals across brands.

The role focuses on building centralized metadata platforms, collaborating across Content Data Products, Partnerships, and editorial teams to enable next‑gen search and discovery while upholding journalistic standards.

Qualifications

• 3–5 years of technical product management, metadata architecture, or related CMS/enterprise information systems experience.
• Experience launching and managing complex software products.
• Experience communicating complex technical concepts to diverse audiences.
• 3+ years working with engineering teams.
• Strong SQL knowledge and relational database understanding.

Responsibilities

• Own and drive product strategy and roadmap for content metadata and taxonomy, including knowledge graph work.
• Collaborate with cross-functional teams to map archival data structures and close metadata gaps.
• Gather requirements and prioritize features with engineering, editorial/taxonomy teams, and AI Platforms & Products.
• Communicate product vision and progress to partners and stakeholders.
• Lead the product development lifecycle from conception to launch, ensuring timely delivery and quality.
• Support and uphold journalistic independence and the mission of truthful reporting.

Skills

Technical product management

Metadata architecture

Digital asset management

Content management systems

Enterprise information systems

SQL

Education

CS/DS/Library/Information Science degree with focus on Information Architecture or Taxonomy

Job description

Technical Product Manager II, Content Metadata

New York, NY

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world‑renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world‑class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

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.

The Content Data Products Team at the New York Times is responsible for building and governing centralized, flexible platforms that serve as the definitive, compliance‑cleared source for our content data. As the media landscape evolves, ensuring that our rich archive of journalism is seamlessly structured, fully attributed, and ready for next‑generation platforms is a core priority. 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.

Content metadata plays a foundational role in The Times' AI strategy. 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 per week.

Responsibilities

• Own and drive the product strategy and roadmap for content metadata and taxonomy, including foundational work towards the development of a knowledge graph.
• Partner with operations, legal, and cross‑functional teams to map archival data structures, systematically identifying and addressing metadata gaps to improve the depth of our content catalog.
• Collaborate with engineering, design, editorial/taxonomy teams, and the AI Platforms & Products mission to gather requirements & prioritize features.
• Communicate product vision, strategy, and progress to partners and stakeholders.
• Lead the product development lifecycle from conception to launch, ensuring timely delivery and high‑quality results.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.

#LI‑Hybrid

The annual base pay range for this role is between $120,000 – $142,000 USD. For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock.

Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company‑matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. We embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here .

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [e-mail]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.