Senior Technical Product Manager, NAPP
$144k - $165kNew York Times
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.
Mission Overview & Responsibilities :
The New York Times is looking for a Senior Technical Product Manager to build content and data platforms to shape the future of how we deliver journalism to our users.
The New A.I. Products and Platforms (NAPP) mission is a critical, company-wide initiative tasked with building the next generation of A.I.-powered products to accelerate The New York Times' essential subscription strategy. The mission operates across two core portfolios. A.I. Platforms is dedicated to empowering all teams across the company by building out robust platform capabilities, documentation, and guidance. A.I. Products focuses on quickly developing and scaling new A.I. prototypes and products.
The New York Times has been producing work-class journalism for 175 years and we publish hundreds of new articles, recipes, videos, podcast, and other media every day. We are looking for a Senior Technical Product Manager to transform our content retrieval services. The goal is to create a modern, intelligent Discovery Engine that offers a variety of content, including video, audio, summaries, and articles. This engine will power the next generation of Times products.
You will navigate deep technical complexity and high-stakes organizational dependencies. You will bridge the gap between our core internal data providers and our AI application builders to ensure our AI has Times expertise at its heart.
This is a hybrid role based in our New York City office.
Your Role:
As a Senior Product Manager, you will be a key member of the AI Platforms portfolio. You will oversee context engineering for AI applications at The Times, starting with the scaling and launch of a modern content retrieval product. You will be a key collaborator with other data platforms at The Times to build a new infrastructure layer for the A.I. era. And you will work with consumer product teams to advance content and user data capabilities to advance NAPP and The Times' product development lifecycle, from prototyping to production.
Responsibilities:
Own the Discovery Engine Roadmap: Lead the development of the Discovery Engine from to full production migration, including deep collaboration with consumer teams on NAPP and across the company.
Cross-Functional Dependency Management: Serve as the primary partner for our Publishing, Data Platforms and the ML Function to secure clean data feeds and manage the creation and use of embeddings for text and users.
Retrieval & Ranking Strategy: Define and tune the hybrid search logic that balances semantic similarity, keyword match, and personalization signals to ensure high-quality retrieval for diverse AI-powered use cases.
Data Enrichment & Ingestion: Oversee the pipelines for AI-generated metadata – including editor-in-the-loop workflows – and ensure non-text assets like video and audio transcripts are indexed and searchable.
Validation & Performance: Define and monitor technical KPIs, including P95 query latency, throughput, retrieval accuracy, cost and downstream AI application performance using tools like Braintrust and StatSig in partnership with downstream product teams.
Vendor Evaluations: Lead technical pilots (e.g. vector databases, knowledge graphs) to de-risk architectural decisions and inform our long-term build-vs-buy strategy.
Visioning: Identify and scope opportunities for infrastructure that would provide additional context or unlock new capabilities for The Times (for example, Knowledge Graphs or semantic data layers).
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.
You will report to the Director, A.I. Platforms.
Basic Qualifications :
5+ years of Product Management experience, with a focus on high-scale backend systems, search infrastructure, or data platforms.
Deep technical literacy in AI/ML. Demonstrated experience with vector databases (e.g., Pinecone, turbopuffer), embeddings, and RAG architectures.
Experience discussing complex technical dependencies, API design, and system boundaries with engineering partners.
Data Fluency and experience working with large-scale data pipelines (ETL/ELT) and defining metadata schemas for diverse content types.
Experience working across organizational silos (Engineering, Data Science, and Product).
Preferred Qualifications :
A profound curiosity for journalism and the future of the information ecosystem.
Experience building digital information or education products in the LLM space, with a focus on trust, reliability, and quality in AI systems.
REQ-020005
#LI-Hybrid
The annual base pay range for this role is between:
$144,000 — $165,000 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.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, 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 View email address on click.appcast.io. 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.
For information about The New York Times' privacy practices for job applicants click here ( .
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site ( . The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at View email address on click.appcast.io. You can also file a report with the Federal Trade Commission ( or your state attorney general ( .
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