Used to be a great place to work - Mitarbeiter (anonym) bei ColdLight Solutions: Mitarbeiterbewertung

1.0
22. Jan. 2015
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

Hard-working, self-motivated employees. Free snacks and unlimited vacation (as long as you work on your vacation.)

Kontras

Unethical – executives lie to customers to get them to sign checks or contracts and expect employees to parrot the lies. I spoke to seven other employees in three different departments working with several different clients about how they and their clients were being treated and they said it was the same. Lack of caring about employees - employees are expected to work nights and weekends in order to make unrealistic deadlines set by executives. Your personal life is of no consequence to them. You have flex time to deal with your personal life as long as you meet the deadlines! A coworker aptly said that employees are no longer motivated to do a good job through loyalty, but now are motivated through fear of losing their job. No desire or respect for diversity – all the executives are white males. If you are not a white male, you will only succeed by being subservient.

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5.0
12. Sept. 2016
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

Nice people to deal with..

Kontras

I cannot find cons by my short experience

2.0
29. Okt. 2015
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

Like most small companies, close knit community and strong feeling of working together for common objectives. They were recently acquired by PTC though, so not sure how that's changed. Overall, very good people to work with. they really believe in what they do. Flexible work hours. A lot of hours are required, but typically they can start and end when you want them to. Additionally, vacations were respected (most of the time).

Kontras

Despite billing themselves as data science / machine learning experts, most of the staff are either not familiar with the discipline at all (i.e. more traditional developers or data warehousing backgrounds) or have academic back grounds but no experience with production ready systems. As such, though they can speak a big game and make great pitches, the Neuron product itself is pretty far from as promised. And worst of all, not entirely sure leadership can tell the difference or ID the gaps in technology. All in all, execution is hampered by a severe lack in product vision and understanding of the market place. Additionally, compensation was at par or lower then comparable companies, but was made up for by equity participation plans. Post acquisition, they're going to have to find some way to close that gap.

5
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