About the Role

At The New York Times, we take data seriously and use it to make our decisions, improve our journalism quality, and provide the best possible experience to our readers. We also use data to build products that help us improve the efficiency of our internal operations, like advertising and marketing.The Media Innovations team is a cross-functional partnership between product engineering, data science, and marketing. The team builds the marketing subscriber acquisition platform that automates campaign management and uses machine learning to optimize campaign execution based on ads performance, to drive efficient subscriber acquisition through paid-media advertising. This role will report to the Engineering Manager for the Media Innovations team.

This is a hybrid role based in our New York City headquarters.

Responsibilities:

• Contribute and add value across the entire marketing platform
• Build client applications that empower our marketers
• Oversee backend components, integrations, and infrastructure
• Collaborate with data science and marketing teams to optimize campaigns and drive subscriber acquisition
• Integrate with platforms including Meta and Snap to manage advertising campaigns
• Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review
• Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies.
• 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.
• 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.

Basic Qualifications:

• 5+ years of full time Software Engineering experience using Python
• Experience in backend development in a cloud environment (AWS, GCP preferred) including cloud compute, storage and system monitoring
• Experience with agile engineering practices like test automation, continuous integration and delivery of high quality systems
• Experience using version control and CI/CD tools, such as Github Actions

Preferred Qualifications:

• Experience with modern Python web development (Flask, FastAPI)
• Experience building data pipelines using SQL, dbt, FiveTran, Airflow or interest in learning
• Experience building front end components using modern JavaScript libraries (React)
• Experience engaging with stakeholders to understand pain points, observe patterns, and identify opportunities for improvements
• Understanding of the different phases of the ML product lifecycle and experience working alongside data scientists to develop machine learning products
• Familiarity with Marketing Technology

REQ-020309

#LI-Hybrid

The annual base pay range for this role is between:

$140,000-$160,000 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.

We9re 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 you9re an Engineering candidate, we9ll let you know what specific GenAI tools you are permitted to use for your technical assessment.