Early Career Program

Cond Nast is a global media company, home to iconic brands including Vogue, Vanity Fair, Glamour, Brides, Self, GQ, GQ Style, The New Yorker, Cond Nast Traveler, Allure, Architectural Digest, Bon Apptit, Epicurious, Wired, W, Golf Digest, Golf World, Teen Vogue, Ars Technica, The Scene, Pitchfork, Backchannel and many others. The companys award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.

The company is headquartered in London and New York and operates in 32 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Russia, Spain, Taiwan, the U.K. and the U.S, with local license partners across the globe.

About Cond Nast Technology:

Our mission in Global Technology is to empower our brands for business and creative success by creating the next-generation suite of content publishing, membership and commerce experiences.

You will be working alongside international colleagues across the world, working with stakeholders in our US and UK HQs as well as within our 10 other markets. We strongly emphasise cross-functional working through partnering directly with our functional pillars in global technology for Product, Engineering, Architecture, Design, UX and Delivery; as well as our business partners in Consumer Marketing, Commerce, Commercial and Licensing, Editorial and Data.

Who you are:

• 
  Highly organised, able to multitask, and be calm under pressure.
• Have discretion and confidence dealing with individuals of all levels.
• A self motivated and efficient individual
• Have excellent communication skills both written and and verbal
• Have a professional demeanour

Role:

Associate (Full time) in below departments like Product, Design, Engineering, Global Data, Technology Business Management, Data Governance, Product Advertisement Platforms, Finance.

Education:

• Btech in CSE, IT, ECE, Machine Learning and Data Science
• MBA in Analytics, Operations, Finance
• Mtech /MSc in Datascience

Eligibility Criteria :

• 70% or 7 CGPA and above
• No Active backlogs

What happens next

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible.