Mai 2018 – Juli 2019 1 Jahr 3 Monate. Im Profil von Oliver Pohl sind 6 Jobs angegeben. They used to be very separate. The company’s 6 cents per share earnings also beat Wall Street expectations, which were forecasting a loss of 2 cents a share. When we started the companies that were in the cloud were not the larger enterprises, so there was not a ton of business to be had with super large companies. And our centralized service you can think of that as a very large database that is going to manipulate different data types, and those data types, under the hood, are going to be stored in different data stores. Nadege Kennou | Zürich und Umgebung, Schweiz | Grid Solutions South Europe Sales Director bei GE Renewable Energy | 500+ Kontakte | Vollständiges Profil von Nadege auf LinkedIn … But what it does is it keeps me enough in the loop so I can pattern match, I can understand which questions to ask from the people and basically how to be gently informed of what they do instead of micromanaging them. There’s not much you can do about that. That’s a typical question that a lot of, especially early stage, companies struggle with and especially in your case, how do end up not being too successful and charging too much to customers if they buy the whole suite, and just keep sending massive amounts of data to Datadog. On a day when the main U.S. stock indexes fell, shares of cloud monitoring service Datadog bucked the trend, skyrocketing up 23% to an all-time high. Olivier: For the longest time we were less than 10, would say 7. We knew from the very beginning that we wanted to bridge the gap between different teams and different silos so when we wanted to add the rest, it was actually the biggest honor to be a step function on the trajectory of the company when we actually managed to do that and we noticed that we could also sell it and customers are also going to update it in addition. So having a good CFO, I found, is very important. I graduated from the University of North Carolina at Chapel Hill, where I double-majored in business journalism. But there’ll be your long term investors and you start building relationships with them at that time, you start setting expectations, they remember everything you tell them at that time and then they measure you against that in the quarters to follow the IPO. Most of the investors you meet with, yeah maybe they’ll buy in the IPO, some of them even the longer term investors are actually going to flip it right after the IPO or shortly after. Olivier: We were less than 30 when we hired the first salesperson. I wanted to make sure we were in a situation where customers were not deploying us in one place and then forgetting the rest because it can’t afford it. Matt: From a product development standpoint, I’m curious – is the value proposition that, for each of those silos, at least initially you may not have the best product on the market with all the bells and whistles, but if you have them as part of a suite and have everything under the same hood, that makes it great? I wrote a few months ago about the significance of the Datadog IPO for the ecosystem and beyond. The IPO itself, to run it I would say the most important was to have a good team to work on it. At Wireless Generation, Pomel built data systems for K–12 teachers, and Lê-Quôc served as the director of operations. That inside sales team is typical, it’s SDRs and account reps. It’s the account reps that are doing the closing. Small company/large company – the product is adopted the same way. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. It’s going to surface anomalies and some behaviors they should know of. We tried to turn it in different ways. As a result, CEO Olivier Pomel and President Alexis Lê-Quôc are now both billionaires, worth $1.6 billion each. Olivier: It was a bit of all. There are 189,000+ professionals named "Olivier O.f", who use LinkedIn to exchange information, ideas, and opportunities. Datadog stock drops 10% despite beat on earnings, outlook Last Updated: Nov. 10, 2020 at 4:52 p.m. Olivier: There’s a number of things our customers can’t do on their own. Olivier: Well I don’t think I understood really what the other side was looking for and how to present it that way. Christian Lanng in conversation with Olivier Pomel. So when you start a company you have this romantic idea, you’re your own boss now, you’re going to kick butts, and all these great ideas. Olivier Pomel New York, NY. I think when you hire a sales team, you need to have all that in place otherwise the sales team is not going to figure things out for you, you still need to do that yourself. We have also provided a full written transcript to make the content easy to scan through (many thanks to Karissa Domondon for her help with this). So it turns out we built exactly what we said to do. We set out to, by bringing dev and ops together, those two teams that had to work together but hated each other, it’s a little bit of the same with development teams and security teams and operations teams and security team where it’s also very difficult to get those teams to collaborate and work together. As a result, CEO. Auf LinkedIn können Sie sich das vollständige Profil ansehen und mehr über die Kontakte von Oliver Pohl und Jobs bei ähnlichen Unternehmen erfahren. Maybe we’ll start with Watchdog and what it does? We provide product teams with everything they need to add activity feeds or chat to their app. Required fields are marked *. There is an existing category for that. So very early on, we started building, writing content on these matters, and we started going to conferences. Olivier: This actually is a very important point, which is how we define success for those products. Over time we keep iterating all these algorithms on this data to figure out what parts of the program space we can actually solve with a  super high level of confidence so that we’re going to put things in front of our customers that are not going to be garbage. Let’s talk a little about the sales motion, the go to market. For that we had to differentiate, we had to find a way to give customers some flexibility so that they could actually say “that part I don’t care so much, that part I care about a lot more so I’m going to do more with that part and pay more for that, that part I’m not going to pay anything or going to pay very little for it”. Oliver: All of it is real time, all of it has to be in process and visible and understood in real time. You started with the things we talked about – metrics, traces and logs. One person on the engineering team was a product person, but still an engineer by trade – I would say that the biggest difference there is that person really liked to spend time with customers as opposed to spending time on the keyboard which I think is a very important trait. Many founders ask me, “so when should I hire my first sales person?” and I don’t think you need a salesperson straight away because the job you do initially is not selling, the job you do initially is spending time with the customer. So all of that was a key ingredient in making it successful. These are examples of what we do for them. Especially in the beginning. I think it becomes much more clear you know after the weeks that follow that decision why it was a good decision to do what you did. Olivier: I actually don’t have a dog, my co-founder doesn’t have a dog – never had a dog. So it’s actually really hard to solve the general use case and there’s a bit of a dichotomy in what customers will tell you about it you know, so when you ask when we first visited customers to figure out what they wanted for more product, when you asked them to pick between a false positive or a false negative they’ll say “Oh give me false positive of this side if it’s right, but I want to know”. Matt: How does [the Datadog platform and backend] work? This DevOps movement was a core part of the cloud migration that was just starting to take place when we started Datadog, in the early 2010s. By that time we had packaged the product, we knew what we were selling, who we were selling to, how people could deploy with it, what the first six months of usage looked like from these customers so we don’t have to make all that up. It’s a way to start generating a bit of that flywheel of getting customers to bring some inbound. Matt: So how did you build your salesforce to reflect that? The company went from a tiny startup in 2010 that had trouble raising money, to a public company that, at the time of writing, has a market capitalization of $12.5B. Then the way we run it under the hood is that we’re going to keep all of the data that’s from basically the last 24 hours in memory so it can be accessed very quickly and over time we age this data to various forms of colder and cheaper storage. Olivier: We deploy all sorts of collectors, and all of our collectors are open source. Voir le profil de Liviu Cotora sur LinkedIn, le plus grand réseau professionnel mondial. Every time you are tempted to, because it is tempting you seel of all those press releases, you see people raising money and you see all that stuff, whenever I personally was tempted to read more about them and look at what they’re doing, instead I’d go and spend time with customers or potential customers, this way you know you avoid overfitting what you’re doing to what you think the competition is doing. Olivier Pomel is CEO/Co-Founder at Datadog Inc. See Olivier Pomel's compensation, career history, education, & memberships. | Stream powers activity feeds and chat for more than 500 million end-users. Some people love writing and do it super well but you don’t know ahead of time who that’s going to be. By any measure, Datadog is an incredible entrepreneurial success story. Used by more than a billion end-users. We didn’t need initially to have big sponsorships and large booths. Matt: What was the trigger? New Account Manager Amazon. Olivier: For the longest time, we only had one product, which was doing infrastructure monitoring, which was doing metrics. The inside team is closing their own deals. Basically you stitch all that together – that’s a trace. (The 2016 IoT Landscape), Growing Pains: The 2018 Internet of Things Landscape, Resilience and Vibrancy: The 2020 Data & AI Landscape, The New Gold Rush? We tell them “hey you’re having an issue right now on xxx [19:07] and it’s not just you. In general I think that’s fine. Berlin. There’s a saying that if you look into the wall you’re going to drive into the wall, that’s a bit like that. The most important factor for us in those ways to make sure that the people we were bringing to the team would actually gel with the rest of our team, would stay and would be people we could build around. So that’s something I had to learn over time. | Datadog is the essential monitoring platform for cloud applications. CEO & CO-FOUNDER. Company profile page for Datadog Inc including stock price, company news, press releases, executives, board members, and contact information Sehen Sie sich die Profile von Fach- und Führungskräften namens „Olivier“ auf LinkedIn an. [Olivier: Yes, all engineers.] The users in the end are very similar. So we don’t have to model anything ahead of time. You play with immense amounts of data and obviously being able to find patterns and all those things is super important, but from what I’ve read and in previous conversations it feels like you guys have had a very thoughtful and measured approach to machine learning. Olivier: Yes quite a few, yes. During Datadog's Q2 earnings call, co-founder and CEO Olivier Pomel shared, “Our growth at scale amid the global pandemic demonstrates Datadog’s... Beliebt bei Felix Herzer. “Data dogs” were production databases and “Data Dog 17” was the horrible, horrible, Oracle database that everyone lived in fear of. Way for people to talk about machine learning a little about the idea of doing it, there s! Events that are still separate and we started going to surface anomalies and some they... Us so you need to add activity feeds or chat to their app freemium-free, free trial, is..., observability – what does it actually mean on Tuesday t do on their own s still around the. 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