Senior Software Engineer, Media Innovations Team

The New York Times; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid vacation

Paid parental leave

Job summary

The New York Times is seeking a Senior Software Engineer for the Media Innovations Team in New York, NY. This hybrid role focuses on utilizing data to enhance journalism quality and improve internal efficiencies.

Your responsibilities will include collaborating with marketing and data science teams, integrating advertising platforms, and providing technical guidance. Applicants should have at least 5 years of software engineering experience with proficiency in Python and cloud environments like AWS.

The annual pay range is $140,000 to $160,000, with bonuses and benefits including health insurance and a 401(k) plan.

Qualifications

• 5+ years of full-time Software Engineering experience using Python.
• Experience in backend development in a cloud environment.
• Experience with agile engineering practices and CI/CD tools.

Responsibilities

• Contribute to the entire marketing platform.
• Build client applications for marketers.
• Collaborate with teams to optimize campaigns.

Skills

Python programming

Backend development

Agile practices

Version control (GitHub Actions)

Tools

AWS

SQL

Flask

Airflow

Job description

Senior Software Engineer, Media Innovations Team

New York, NY

Mission: The New York Times’ mission 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.

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

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 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

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, 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.

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 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 [e-mail].

We encourage those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws.

For information about The New York Times’ privacy practices for job applicants clickhere.

We encourage you to submit your own work and not use GenAI tools to generate substantive content during the application and interview process.