Why did you join Ambient.ai?
The beauty of what we’re doing at Ambient.ai is that this solution seems almost obvious. This sort of problem is exactly what machine learning is designed to do and handle – monitor large amounts of data. A person isn’t suited to watch cameras, nothing important will happen 99% of the time. But you can’t afford to miss that 1% and that is a perfect application for machine learning.
What has been your experience working at Ambient.ai?
I’ve been really impressed and surprised by the culture here at Ambient.ai. I like to be closer to the entire product feedback loop all the way from the sale to customer success, but I’ve found that in many organizations engineering and sales are siloed away from each other. At Ambient.ai, that’s not the case.
I really enjoy the feeling of asking a question and finding that people are happy to respond even if you don’t work with them day to day. Understanding the impact of my work on the customer is really important to me. At Ambient.ai, I get that direct feedback continually, and I love it.
Sales comes back to engineering with feedback all the time. They are very comfortable speaking with the engineers, the sales engineers, and the customer success team. Sometimes, as engineers, we are missing context, and sales will give that feedback to us. They are also well aware when they don’t have the answer to things and should come to us, which they are happy to do. It’s a very transparent culture.
What most excites you about Ambient.ai’s future?
Now that we are out of stealth, I’m really excited to see the public response and the customer impact. We already have big customers, and I’m curious to see how the market responds to what we’ve created. The fact that we are having conversations with very large companies, and they are responding positively to our platform. The most exciting thing is when we can talk about Ambient.ai publicly and see what that brings.