Thanks, Shane. Good afternoon, everyone. Welcome to our fourth quarter earnings call. We ended fiscal year 2022 with fourth quarter results once again exceeding the high end of our guidance on all metrics. Total revenue grew 41% to $169 million. Confluent Cloud revenue grew 102% to $68 million, and non-GAAP operating margin has improved 20 percentage points. We're pleased with these results, especially in light of the macroeconomic pressure we saw in the quarter. On today's call, I wanted to provide an update on how the macroeconomic environment is impacting our business, how we're adjusting for it and how we continue to drive innovation and differentiation and capture the massive market opportunity ahead. I'll start with a few things that haven't changed. As we've discussed in previous earnings calls, we began seeing customers institute additional budget inspection in pockets across geographies in June, and this dynamic has continued. The main impact on our business has been elongated deal cycles with customers. Our overall win rate remains robust, our pricing is steady, and we have been able to close a substantial amount of deals pushed from prior quarters. This is quite encouraging because it reflects the strong vote of confidence by our customers and the strategic value and cost savings our platform brings to them. Now here's what has changed. The increased level of budget scrutiny appears to have become the new norm. More deals took longer to get approval and some expansions were slower than in the past. This is evident in the number of deals that pushed to calendar 2023, which impacted our RPO growth and net retention rate in the fourth quarter. While the vast majority of the deals are still in our deal path, this does indicate that increased scrutiny continues to exert pressure on large deals and new business. We think that this combination of higher interest rates and economic uncertainty puts pressure on the purchasing environment. The result is a substantially different environment for tech than what we were operating a year ago. We are setting our plans for 2023 in light of this and making some changes in how we operate. We have taken steps to adjust our cost structure to accelerate our time to profitability by one year, while still maintaining approximately 30% revenue growth. Specifically, we've undertaken a restructuring of our workforce, optimizing for top strategic priorities and high ROI business areas. This includes a reduction of our workforce by approximately 8%. We're also taking steps to rationalize our discretionary spend and real estate footprint. We don't take the decision to restructure our workforce slightly. We're saying goodbye to many friends and colleagues across the company. We thank them for their important contributions to Confluent, and are making sure that the departing team members are taken care of. I want to be clear that we're making this change without reducing our focus on the long term. It's essential that Confluent dominate the $60 billion market in front of us, and the cuts we have made do not compromise that ambition. While the restructuring will help streamline sales and marketing spend, we're preserving quota-carrying capacity and continuing to prudently invest in our go-to-market to drive new business and durable growth in the years ahead. We will also continue to support appropriate levels of R&D investment to ensure our product is the long-term winner in our space. Despite the difficulty of the change, the resulting efficiency allows us to pull in our target of non-GAAP operating margin breakeven by 12 months. This means that exiting Q4 of this year, we will have shown a 41 point increase in non-GAAP operating margin in just 24 months. Exiting 2023, less than one year from now, we will be a market leader in a deeply strategic space, operating a profitable business and driving sustained high growth in a very large market. This market leadership is driven by our platform differentiation and the significant TCO advantages we deliver to our customers. To better illustrate that, let me share our customer story. Wix is the leading website development platform in the world, which in turn serves around 1 billion unique visitors each month. Data streaming is at the heart of many of the digital experiences their clients create from online bookings to e-commerce to personalized content. And Wix' data streaming journey, like so many others, began with open source Kafka. They quickly discovered, however, that the open-source approach required heavy DevOps resourcing and resulted in challenges with scale, time to market, reliability and latency. Ultimately, they chose Confluent Cloud to mitigate risk, reduce costs and increase productivity. That migration quickly resulted in a 90% ROI. This is just one of many examples that shows the strength in the underlying demand for our data streaming platform. This is because Confluent serves operational workloads and are directly responsible for driving the core operations of our customers, making this a key element of a digital strategy going forward. In fact, IDC projects that by 2025, event streaming technologies will be used by 90% of the Global 1000 to deliver real-time intelligence to improve outcomes such as customer experience. And in a separate study, IDC found that of the companies that are currently using streaming data, over 80% have plans to invest in new streaming capabilities in the next 12 to 18 months. Today, our product is the category leader in data streaming platform technology, bar none. The key focus for us is ensuring we continue to stay ahead as this category grows and evolves. One critical element of these investments that I want to discuss today is stream processing, that is technology to enable our customers to build applications on top of the real-time data streams that Confluent provides. A simple way to understand the importance of stream processing is by analogy to the world of data addressed in traditional databases. A database solves two problems. It acts as a store of data and it executes queries that process the data. This combination of data and processing is what a database is so easy and ubiquitous. A similar combination of capabilities is needed as we move from data at rest to data in motion. In the world of data in motion, data isn't just start. It's a continual stream that updates as the world changes. The natural complement to this is stream processing. That is building applications that continuously update, react or respond to changes in the world. The core of Kafka acts to storage streams and to be a hub for connectivity, kind of like a central nervous system that transmits the real-time impulses of what's happening in the business. Stream processing acts a bit like the brain, taking real-time action on the impulses the nervous system conveys. Increasingly, businesses of all kinds are leveraging stream processing to drive the data-driven applications that better serve customers and drive intelligence and efficiency in their operations. Confluent has long contributed to the emerging stream processing ecosystem around Kafka with Kafka Streams, an application development library for stream processing and ksql. This quarter, we took a major step in furthering these capabilities with the acquisition of Immerok, a stream processing company that offers a fully managed service for the open source project, Apache Flink. Immerok has joined Confluent to help us add a fully managed link offering to Confluent Cloud. This is a very exciting step for Confluent and I want to explain a little bit about our strategy in this area. We've watched the excitement around Flink grow for years. and saw it gaining adoption among many of the most sophisticated technology companies in the world, including Citi, Goldman Sachs, Pinterest, LinkedIn, Netflix, Uber and Apple. This popularity has been driven by a rich feature set, including a powerful processing model that generalizes both batch and stream processing. It is battle tested at scale on some of the largest real-time processing workloads on the planet. And perhaps most importantly, it has an incredibly smart innovative community driving it forward. In short, we believe that Flink is the future of stream processing and by adding it to Confluent Cloud, we can significantly advance our data stream platform and help our customers get again more value from their data streams. In terms of our product plans, we plan to launch the first version of our Flink offering in Confluent Cloud later this year. We want to follow the same key principles we've brought to our Kafka offering, building a service that is truly cloud native is a complete and fully integrated offering and is available everywhere across all the major clouds. We think this combination of an open popular interface offered with a deeply differentiated cloud-native core is the key to success for cloud data systems. We think that over time, this offering can be a substantial driver of growth in our business, comparable in size to Kafka itself. Adding this new offering will allow us to better monetize the compute and application development around data streams in addition to the core stream data, expanding spend of existing customers. Further, by making streaming easier, we pull more workloads into our streaming platform. In addition, the processing of streams generates more streams, helping to accelerate the growth of our Kafka, connector and data governance products. In this way, stream processing accelerates consumption in a multiplicative fashion, which we think will be a very positive tailwind for growth as these capabilities come to maturity. To help execute both this initiative as well as our overall product strategy, I'm pleased to announce that Shaun Clowes joined Confluent last quarter as our Chief Product Officer. Shaun joins us from MuleSoft, where he served as CPO. And before that, Atlassian, where he served as Head of Growth. Shaun is a technologist passionate about the space and is the right person to lead the team through the data streaming era. And finally, I'd like to share that Larry Shurtz has stepped down from his role as Chief Revenue Officer. Larry, we wish you all the best, and thank you for your many contributions in helping us scale and evolve our sales team. We will not be looking to backfill this role. Larry reported to Erica Schultz, our President of Field Operations, and we'll revert to our prior org structure with Erica managing the theater sales leaders directly. In closing, the demand for data streaming remains strong. We've accelerated our plan to become profitable by the end of the year, and we'll continue to invest in building the data streaming platform that will become the central nervous system of every company. And with that, I'll turn the call over to Steffan to walk through the financials.