Tech titans like IBM and Google have emerged major players in New York’s startup ecosystem. Here’s a look at how their New York offices stack up to their..
New York City has emerged as a technology powerhouse over the past few years.
The City’s namesake companies like WeWork, Tumblr, and BuzzFeed have catalyzed startup activity and inspired the next-generation of New York natives including Oscar, Warby Parker, Squarespace, Blue Apron, Rent the Runway — the list goes on.
Since 2014, VCs have invested about $1.2 billion in seed funding in New York-based startups.
As New York’s native tech community grows, more established tech companies like Google and Facebook have taken notice and opened up satellite offices in the City. These legacy companies play an important role in stabilizing the startup ecosystem here.
Their presence has lowered the risk profile associated with starting a company in New York — entrepreneurs find comfort in knowing that if their startup doesn’ t work out, there’s a growing number of stable technology opportunities to fall back on (IBM alone employs nine thousand engineers in New York) .
These companies also provide a training ground for many future founders — Jon Steinberg of BuzzFeed and Cheddar; Spencer Kimball of Cockroach Labs; and Matt Burton of Orchard; for example, are all former NYC Googlers (fondly dubbed “Xooglers”) .
To get a pulse of the role these companies have played in driving innovation and catalyzing startup activity, we decided to dig a little deeper.
We turned to LinkedIn data to answer the following questions:
Just how big are these tech titans’ NYC offices? What’s the breakdown of engineering vs. non-engineering talent? How do these offices stack up to their west coast counterparts?
Here’s what we learned:
(Scroll to the bottom to see our methodology)
We turned to LinkedIn Sales Navigator data to address the following questions:
We’ re not claiming our data is perfect (not everyone is on LinkedIn, and those who are self-report) but in the age of online-resumes, it’s safe to assume these numbers are directionally accurate.
