Company Overview
The New York Post is one of America’s most iconic and recognizable news brands - delivering bold headlines, unforgettable scoops, and sharp commentary since 1801. With a legacy built on fearless journalism and a distinctly New York attitude, The Post has evolved far beyond its print roots to become a modern media powerhouse. Today, the New York Post Digital Network is one of the most influential voices in the industry, reaching over 80 million unique users each month across our expansive, ever-growing portfolio. Anchored by NYPost.com, PageSix.com, and Decider.com, our digital brands deliver must-read breaking news, sports, entertainment, pop culture, and lifestyle coverage with the same wit, edge, and energy that define The Post. With innovation at our core, we’ve built a true multi-platform ecosystem - spanning web, mobile apps, video, audio, social, print, TV, and commerce. From viral headlines and exclusive stories to original series, podcasts, and live events, we’re engaging audiences where they are - and always on the pulse of what’s next.
We’re looking for a Senior Software Engineering Manager to join our technology team and lead the systems that power The Post’s digital future. This is a hands-on engineering role with core responsibilities around infrastructure services, data pipelines, personalization systems, consumer AI, internal AI tooling, and custom APIs across AWS and GCP projects. You are a hands-on technical leader who builds robust high-performance services for websites. You will own the plumbing that enables our newsroom, data science, marketing, and product teams to deliver cutting-edge digital experiences at scale.
Key Responsibilities
- Manage and support a small team of high-achieving agile software and data engineers.
- Design, build, and operate cloud-based APIs supporting specialized needs of our consumer websites, native mobile apps.
- Work daily with compute services, query services, storage services, and big data services with technologies like Vertex AI, Lambdas, DynamoDB, Cloud Functions, S3, Kubernetes,