Technical Product Manager II, Data Platforms

Location: New York City headquarters in Times Square; hybrid role with an expectation of working onsite 3+ days per week.

Annual base pay: $120,000–$142,000 USD, plus eligibility for variable pay such as an annual bonus and restricted stock.

Company

The New York Times Company produces independent journalism and digital products, with hirify.global identified as the company for this position.

What you will do

• Own the strategy for shared compute and storage capabilities, including compute engines, streaming, orchestration, lakehouse storage, and connective infrastructure.
• Understand platform-user workflows and translate needs into outcomes, requirements, priorities, and reusable self-service capabilities.
• Partner with engineering leaders to scope initiatives, define milestones, manage dependencies and delivery risks, and align execution with product priorities.
• Enable teams to build, publish, and operate data products without managing the underlying infrastructure.
• Communicate roadmap progress, risks, and tradeoffs to technical and non-technical stakeholders.
• Guide products from discovery and iterative delivery through launch, documentation, adoption, feedback, migrations, and deprecations.

Requirements

• 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 have

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

Culture & Benefits

• Work in support of a mission focused on independent journalism, seeking the truth, and helping people understand the world.
• Hybrid work based in the New York City headquarters with onsite work at least 3 days per week.
• Medical, dental, and vision benefits, plus Flexible Spending Accounts.
• Company-matching 401(k), employee stock purchase plan, paid vacation, paid sick days, and paid parental leave.
• Tuition reimbursement and professional development programs.
• Eligible compensation includes variable pay, annual bonus, restricted stock, and a professional development focus.

Hiring process

• Submit original work and do not use generative AI tools to create substantive application or interview content.
• Engineering candidates will be informed which generative AI tools, if any, are permitted for the technical assessment.