Digital media and internet brands across tech, shopping, health and security
Ziff Davis operates a portfolio of vertical digital media and internet brands, backed by a native mobile stack (Kotlin, Swift, Kotlin Multiplatform) and a deep warehouse layer spanning Snowflake, BigQuery, Redshift, Iceberg and Spark. Hiring is accelerating and tilts toward sales and marketing over engineering, with VP and director roles prominent, pointing to a B2B revenue push alongside AI-assisted analytics and Looker dashboard work.
Notable leadership hires: Account Director, Sales Director
Ziff Davis is a publicly traded digital media and internet company headquartered in New York. Its portfolio spans brands in technology, shopping, gaming and entertainment, health and wellness, connectivity, cybersecurity and martech. The company employs between 1,001 and 5,000 people and hires across North America, Europe, the Middle East, South and Southeast Asia, Japan and Argentina. Its products run on web and mobile apps built with TypeScript, React, Vue, Kotlin and Swift, supported by Salesforce, Iterable and Highspot on the commercial side.
Ziff Davis uses Kotlin, Swift, TypeScript, React, Vue, Python, Go and Java, with data on Snowflake, BigQuery, Redshift, Apache Iceberg and Spark, plus Looker, Tableau, Salesforce and Iterable.
Yes. Sales is the largest hiring area, followed by marketing, with engineering and data close behind. Open leadership roles include Account Director and Sales Director, and overall hiring is accelerating.
Ziff Davis hires in the United States, Canada, India, the UK, Ireland, Saudi Arabia, the UAE, the Philippines, Japan, Malaysia and Argentina.
Other companies in the same industry, closest in size
Ziff Davis's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.