About the RoleThe New York Times is looking for an Engineering Manager to lead the Compute and Storage team in the Data Platform mission. We build, run and scale the shared compute engines, lakehouse storage and connective infrastructure that power our data platform at The Times. Our work enables teams across the company to publish and own data products without managing the infrastructure underneath. You will report to the Senior Engineering Manager of Data Platforms.
This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2-3+ days/week.
Responsibilities- Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement.
- Oversee roadmap execution for our compute, streaming, orchestration and lakehouse storage platforms.
- Guide architecture and technical decisions. Set standards for shared platform code and engine integrations so our systems stay secure, reliable and scalable.
- Define and track service goals for availability, provisioning speed, pipeline success and query performance.
- Build strong practices for on-call, automation, SLAs and escalation paths.
- Partner with the product and engineering teams that build on our platform to turn their needs into self-service capabilities.
- Develop and maintain budgets, forecasts and a cost attribution model.
- Support our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications- 1+ years of experience as an engineering manager, and 4+ years in a technical leadership role working with cross-functional partners.
- 5+ years of software or data infrastructure engineering experience building scalable and distributed systems.
- Experience running production cloud infrastructure on Kubernetes.
- Skilled in defining SLOs and SLAs, monitoring and alerting, incident management and operational automation.
- Strong technical fluency. Comfortable guiding architecture discussions and reviewing code alongside engineers.
Preferred Qualifications- Experience with data processing engines and runtimes such as Spark, Trino, Flink, Kafka, Airflow.
- Experience leading platform migrations, system deprecations, and vendor evaluations.
- Understanding of data governance or privacy tooling, such as data cataloging, lineage or data subject requests.
#LI-Hybrid
REQ-020676
Compensation and Benefits For This Role:In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
The annual base pay range for this role is between:
$160,000-$190,000 USD
Candidate Use of GenAI Tools:We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.
If you're an engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.
