Technical Product Manager II, Content Data Products

The New York Times•New York, NY

3d•$120,000 - $142,000•Hybrid

About The Position

The Publishing group at The New York Times builds and maintains the content management system powering all Times platforms. The Content Data Products team governs the centralized, compliance-cleared platform for Times content data and partners with the New AI Products and Platforms team, whose Discovery Engine relies on this infrastructure. The team ensures content across brands and multimedia formats is ingested, structured, attributed, and indexed. The Technical Product Manager II will lead the content data warehouse roadmap and its feeding pipelines, reporting to the Senior TPM for NAPP. The role partners with engineering to deliver product strategy across editorial, AI, and partner requirements. It is hybrid and based at the New York City headquarters, with an expectation of working from the office three days per week.

Requirements

3–5 years of experience in technical product management focused on content data and platform infrastructure.
3+ years of experience launching complex software products in close partnership with engineering teams.
Demonstrated experience with unstructured or multimedia data ingestion pipelines and downstream integrations, such as search indexes, analytics, and ML/AI systems.
Experience navigating ambiguous spaces, conducting research, defining technical requirements, and communicating complex technical concepts to diverse audiences.

Nice To Haves

Bachelor's degree in Computer Science, Data Science, Information Science, Journalism, or equivalent experience.
Familiarity with search and retrieval systems and how structured metadata powers search engines and AI capabilities.
Working knowledge of SQL, relational database architecture, and schema auditing.

Responsibilities

Lead strategy and delivery for the content data warehouse and ingestion pipelines for new content types and metadata enrichment.
Define specifications for modeling, ingesting, and indexing new content formats, such as video, interactives, and acquired brand content, for search, retrieval, and AI use cases.
Partner with operations, legal, and other teams to audit archival structures, address metadata gaps, and improve catalog completeness.
Gather requirements, establish data contracts, prioritize features, and communicate roadmap progress and risks across engineering, design, editorial, and leadership.
Guide the end-to-end product development lifecycle from concept to launch with high quality.