Aggregator Channel CTO Engineer 
This is going to be BIG.
FEBRUARY 22, 2010
CTO, Modcloth – San Francisco, CA (corrected from e-mail version) Remember that girl from back home? The ideal candidate has experience with eCommerce systems, emerging mobile and social technologies, as well as RoR. Interested candidates should e-mail keyhirewire@firstround.com with "Modcloth CTO" in the subject.
Both Sides of the Table
MAY 7, 2013
And for the record, that’s per month not total in aggregate! Another major hire was Ryan Lissack who joined as CTO. Ryan was not only a senior engineer at Salesforce.com (he ran mobile and also ran content management) but was also my cofounder at Koral and lead architect at BuildOnline.
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Startup Lessons Learned
MAY 22, 2020
Deputy Chief Technology Officers Cori Zarek and Ryan Panchadsaram to help all levels of government with COVID-19 response and delivery of services. Deputy Chief Technology Officer in the White House Office of Science and Technology Policy from 2013–2014, where she founded the United States Digital Service.
techcrunch.com
OCTOBER 23, 2010
The best composition is probably one engineer whose passion lies in the pixels on the screen and another engineer whose passion is making bits fly really fast through servers. is it really that the only people who can build great startups are engineers? Engineers don’t always have the best business ideas.
www.chubbybrain.com
SEPTEMBER 28, 2011
If getting VC or angel money is one of the ways that will help you avoid failure, why not check out the free Funding Recommendation Engine here ? #20 Failure post-mortems often lamented that “I wish we had a CTO from the start, or wished that the startup had “a founder that loved the business aspect of things”.
SoCal CTO
AUGUST 3, 2010
Some great content around the intersection of startups and being a Startup CTO in June this year. This continues my series of posts: Top 30 Startup Posts in June 2010 Top 29 Startup Posts May 2010 Startup CTO Top 30 Posts for April 16 Great Startup Posts from March The following are the top items based on social signals.
ConversionXL
OCTOBER 4, 2018
In 2009, Netflix offered $1 million to anyone who could improve the quality of its recommendation engine by 10%. As it turned out , the enhanced algorithms “did not seem to justify the engineering effort needed to bring them into a production environment.”. It took two years, but a team finally won. A world of real-time predictions.
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