XO Group
XO Group

XO Group

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XO Group High Paying Jobs, Compensation Information and Expert Network Connections

lightbulbWhat are the highest paying jobs at XO Group?

XO Group was an American media and technology company that provided content, tools, products and services for couples who were planning weddings, creating a home, and starting a family. The company generated revenue through online advertising, merchandising, registry services, and publishing. In 2019, the company merged with WeddingWire to become The Knot Worldwide under ownership of WeddingWire's investors. Its divisions remained intact, but the XO Group name has been retired.

,David Liu, his wife Carley Roney and their business partners, Rob Fassino, and Michael Wolfson founded The Knot Inc. in 1996. They found that the internet could facilitate and reduce anxiety in the process of wedding planning between couples. The startup received seed financing from AOL, the partners launched The Knot brand as a portal on AOL. In 1997, TheKnot.com launched on the internet.

,The company launched an online gift registry in partnership with QVC and published its first book, The Knot Complete Guide to Weddings in the Real World. In December 1999, the company raised $35 million in an initial public offering.

,On December 2, 2000, the company launched its own bridal magazine and went public. The Knot Weddings Magazine is published four times a year and is sold on newsstands.

,In 2004, the company launched a television series, Real Weddings from The Knot, on the Oxygen Network.

Highest paying job titles at XO Group include Software Engineer, Senior Data Scientist, and Product Design Manager

Snapshot

IndustryMedia
Founded1996
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Total value of jobs:
$5,935,000
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Total Jobs:
35
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Average Pay:
$114,134
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Total Experts:
4
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% Masters:
19%

Top Experts at XO Group

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XO Group Compensation

Software Engineer

$90K

$125K

Average Compensation:$103,000

Senior Data Scientist

$

$

Average Compensation:$NaN

Product Design Manager

$225K

$225K

Average Compensation:$225,000

Data Engineer

$

$

Average Compensation:$NaN

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