Technical Product Manager II, Data Platforms

The New York Times•New York, NY
•$120,000 - $142,000•Hybrid

About The Position

The Technical Product Manager II will shape product direction for The New York Times’ Data Platform Compute and Storage team. The team builds shared compute engines, lakehouse storage, and connective infrastructure that enable engineers to publish and own data products without managing the underlying platform. The role partners with engineering, machine learning, analytics, and other teams to deliver reliable, scalable, easy-to-use capabilities, making data infrastructure more accessible and efficient through reusable products for diverse workloads. This is a hybrid role based at the New York City headquarters in Times Square, with an expectation of working onsite at least three days per week. The role reports to the Technical Product Director of Data Platforms.

Requirements

  • At least 4 years of experience developing technical products as a product manager or in an equivalent role.
  • Experience partnering with engineering teams and platform users to deliver complex data, cloud infrastructure, developer platform, or other technical products.
  • Track record of using data and structured reasoning to make product decisions and deliver measurable outcomes.
  • Understanding of data infrastructure concepts, including pipelines, compute, storage, data modeling, and governance.
  • Experience communicating technical concepts, priorities, and tradeoffs to technical and non-technical audiences.

Nice To Haves

  • Background in software development, engineering, data science, or analytics; hands-on experience with data products or platform capabilities.
  • Familiarity with processing engines such as Spark, Trino, Flink, Kafka, or Airflow, and with lakehouse or cloud data infrastructure.
  • Experience with platform migrations, deprecations, vendor evaluations, or infrastructure cost management.
  • Familiarity with SQL, Python, BigQuery, or Amazon Web Services.

Responsibilities

  • Own the strategy for shared compute and storage capabilities, including compute engines, streaming, orchestration, lakehouse storage, and connective infrastructure.
  • Understand platform users’ workflows and translate their needs into clear outcomes, requirements, and priorities.
  • Partner with engineering leaders to scope initiatives, define milestones, manage dependencies and delivery risks, and keep execution aligned with product priorities.
  • Deliver self-service capabilities that help teams build, publish, and operate data products without managing underlying infrastructure, favoring reusable solutions.
  • Communicate roadmap progress, risks, and tradeoffs to stakeholders.
  • Guide product lifecycle practices from discovery and iterative delivery through launch, documentation, adoption, and feedback.
  • Support migrations and deprecations with clear user plans.
  • Demonstrate support for The Times’ mission and values and a strong commitment to seeking the truth and helping people understand the world.

Benefits

  • Variable pay, such as an annual bonus and restricted stock.
  • Medical, dental, and vision benefits.
  • Flexible Spending Accounts (F.S.A.s).
  • Company-matching 401(k) plan.
  • Employee stock purchase plan.
  • Paid vacation.
  • Paid sick days.
  • Paid parental leave.
  • Tuition reimbursement.
  • Professional development programs.
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