Business news and content platform built on modern data and publishing infrastructure
Morning Brew operates a data-intensive publishing operation with a modern analytics stack (Snowflake, dbt, Fivetran, Kafka, Lightdash) feeding both editorial and product teams. The tech foundation reflects a shift from pure content creation toward data-driven content discovery and engagement — projects like first-party data strategy and content discovery initiatives sit alongside editorial work. Hiring is weighted toward marketing and design roles, with engineering and data teams sized smaller, suggesting a content-first org using data and tooling to scale editorial impact rather than build platform features.
Notable leadership hires: Technical Director
Morning Brew is a business media company founded in 2015 and headquartered in New York with 201–500 employees. The company delivers business news, analysis, and commentary across newsletters, video, podcasts, and digital platforms, targeting business leaders and professionals. Revenue streams include advertising, sponsorships, and enterprise content partnerships. The organization operates across editorial, marketing, design, sales, and data functions, with active hiring focused on marketing and creative roles. Current priorities include launching new content verticals, improving content discovery and navigation, and building a first-party data strategy to support advertising growth.
Morning Brew's core stack includes Snowflake and BigQuery for data warehousing, dbt for transformation, Fivetran for ingestion, Kafka for streaming, and Lightdash for analytics. Frontend: Next.js, React, TypeScript. Backend: Python, Go, Ruby, GraphQL, PostgreSQL, Redis. Infrastructure: AWS, DigitalOcean, Vercel, Heroku.
Key projects include first-party data strategy, data stack alignment, content discovery and navigation improvements, engagement initiatives, launching new verticals, and building internal tools. Non-newsletter editorial and enterprise content pieces are also in active development.
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