Atish Banerjea1:31
Yeah, thank you, Chris. When we rebranded ourselves as Enterprise Engineering, there are two broad mindsets that I put forth to the organization in terms of embracing going forward. The first one, I think, is really understanding our internal employees around the company and having their viewpoint really understood and incorporated into the products that we are building. I think that is hugely important, so really spending time listening and understanding our internal customers is a huge part of it. The second thing in terms of how we execute: we made a fundamental shift. As opposed to relying largely on third-party platforms and systems that we used to rely on in earlier days, we made a fundamental shift and said we're going to go to a build culture inside the organization. We're going to build tools, we're going to build technology, we're going to build platforms that service our customers to get their jobs done, our internal users across whether you're in finance, HR, marketing, or sales, in order for them to be able to do their jobs in the most effective and efficient way. The goal now for Enterprise Engineering is to give them custom tools that will enable them, because I think the challenge is when you bring in a bunch of third-party tools, many times you're actually asking the business user to change their business processes to match what the tool is capable of doing, versus allowing them to do their work in the most effective and efficient way possible. The big change that requires, though, Chris, is that if you want to make this kind of shift in your organization, you're essentially going away from a mindset where your engineers are just taking in the third-party system and configuring it, versus really having the consumer mindset and saying this is a fully engineering organization now and a product building organization now. So you need to have the same competencies, the same disciplines, and all of the same skills as someone who is building a consumer product. You need engineering, product management, design, content strategy, research, UX, machine learning, artificial intelligence skills in order to build a product. So it was a recrafting of the skill set of the organization to become a truly build organization, and then having a supporting operational organization and an infrastructure organization which is also very engineering-centric to deliver the complete set of services. That's the kind of transformation journey that we went on, Chris. I'll touch on two quick points. I think we have achieved a lot of success in this journey, not only from the perspective of doing work building tools that our internal users can really benefit from, but in some cases we have actually been able to take these products and give them to other enterprise customers. We have a workplace platform, as you know, which is used by large companies around the world, and there are functionalities that we built for Meta that some of these customers we knew would benefit from, and we were able to release them to external customers through our workplace platform, so commercializing the products that we built internally for Meta. The other area that we've really gotten involved in supporting external consumers is that the supply chain systems, the e-commerce platforms, as well as the customer support systems. If you are a user of one of our products that the Reality Labs organization builds, a Quest device for example, and you want to go buy it at Best Buy or come directly to us and buy it, and then you need that supported, all of the technologies and tools that enable all the e-commerce, the supply chain getting the products to stores like Best Buy, and also the customer support tools, those are also built by Enterprise Engineering. So we don't only touch the internal organization at Meta; there are areas we support the enterprise customers and the consumers as well.