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Technical Product Manager II, Content Data Products at The New York Times · LumiJobs

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The New York Times· Posted Oct 27, 2026

Technical Product Manager II, Content Data Products

New York, NYfull timeOn Site

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mid

$120k–$142k

H1B: yes

The New York Times The New York Times seeks a Technical Product Manager II to lead the content data warehouse roadmap and ingestion pipelines. This role partners with engineering and editorial teams to manage content data modeling, indexing, and product delivery.

Responsibilities

Roadmap Execution: Lead the strategy and delivery for the content data warehouse and ingestion pipelines for new content types and metadata enrichment.
Data Modeling & Indexing: Define specifications for modeling, ingesting, and indexing new content formats (e.g., video, interactives, acquired brand content) for search, retrieval, and AI use cases.
Catalog Optimization: Partner with operations, legal, and teams to audit archival structures, address metadata gaps, and improve catalog completeness.
Collaboration: Gather requirements, establish data contracts, prioritize features, and communicate roadmap progress and risks across engineering, design, editorial, and leadership.
Product Delivery: Guide the end-to-end product development lifecycle from concept to launch with high quality.

Qualification

Experience navigating ambiguous spacesBachelor's degree in Computer ScienceWorking knowledge of SQL

Required

3–5 years of experience in technical product management with a focus 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 (e.g., search indexes, analytics, ML/AI systems).
Experience navigating ambiguous spaces, conduct research, define technical requirements, and experience communicating complex technical concepts to a variety of audiences to diverse audiences.

Preferred

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