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Chris Cox Net Worth – Meta, Chief Product Officer (CPO)

Chris Cox is a software engineer who serves as the Chief Product Officer (CPO) of Meta Platforms. He joined the organization in 2005 as its thirteenth software engineer and played a key role in the development of early versions of key features of Facebook, including the News Feed.

Chris Cox is a software engineer who serves as the Chief Product Officer (CPO) of Meta Platforms. As the CPO, Cox leads Meta’s core applications and technologies. He joined the organization (then called Facebook) in 2005 as its thirteenth software engineer. He played a key role in developing the early versions of key Facebook features, such as the News Feed. 

Initially joining as a software engineer, Cox was promoted to Chief Product Officer in 2014. He now leads Facebook, Instagram, WhatsApp, Messenger, and Threads, along with Meta’s Generative AI, AI Research, and Privacy organizations.

In 2019, he was named in Forbes Magazine’s 40 Under 40 list. The same year, he was also listed in, Fast Company’s list of “Most Creative People in Business.”

This article will look into Chris Cox’s net worth, education, career, and more.

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Chris Cox Net Worth

Unfortunately, there is no information on Chris Cox’s net worth available in the public domain. We will update this section as soon as we come across any reliable information on Cox’s net worth. 

However, as a high-ranking executive at Meta who has been with the company for almost two decades, Cox undoubtedly receives a hefty salary and owns a significant number of company shares. 

Given Meta’s market capitalization, these holdings alone would account for considerable personal wealth. 

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Education

Chris Cox was born in Atlanta, Georgia, United States. He went to New Trier High School and enrolled at Stanford University in 2000, where he pursued a Bachelor of Science degree in Symbolic Systems. Over the course of four years, he delved into this interdisciplinary program that combines elements of computer science, linguistics, cognitive science, and philosophy. 

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Career

Shortly after earning his bachelor’s degree from Stanford, Chris Cox started his journey with Facebook in November 2005 as one of its early software engineers. During this time he contributed significantly to the development of early versions of important Facebook features such as the News Feed. 

He was promoted to Vice President of Product in 2008, where he was tasked with establishing the company’s first product management and design teams. 

By 2014, he was promoted to Chief Product Officer, overseeing the growth of Facebook’s core applications. After a brief departure in March 2019 after Mark Zuckerberg’s plan to develop encrypted messages, Cox returned to Meta (formerly Facebook) in June 2020, where he now leads key platforms including Facebook, Instagram, WhatsApp, Messenger, and Threads, as well as Meta’s Generative AI, AI Research, and Privacy divisions.


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Latest Updates

Chris Cox continues to lead Meta Platforms as its Chief Product Officer (CPO). He will continue to drive innovation and growth across Meta’s key platforms and divisions, ensuring that the firm remains on the frontier of technology and user experience. 

FREQUENTLY ASKED QUESTIONS

Is Chris Cox still at Facebook?

Chris Cox is the Chief Product Officer at Meta Platforms, earlier known as Facebook. In 2019, Cox left for a brief period of time, however, shortly after he resumed his role in 2020. 

Who is the chief product officer of Meta?

 Chris Cox is the Chief Product Officer (CPO) of Meta Platforms. He joined the organization in 2005 as its thirteenth software engineer. Cox played a key role in the development of early versions of key Facebook features.

This post was last modified on August 14, 2024 4:52 am

Raya

Raya is a tech enthusiast diving deep into New-Age technology, especially Artificial Intelligence (AI) and Machine Learning (ML). She is passionate about decoding the complexities and uses of new-age tech. Raya is on a mission to write articles that bridge the gap between technical jargon and everyday understanding, making AI and ML accessible to a wider audience.

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