Thank you, Catherine, and thank you all for joining us on the call today. In the second quarter, Asana continued to execute on our transition to the enterprise and make strides on Asana AI. I'll go through a few highlights from the quarter and then jump into some of the key trends that are shaping our industry and informing our strategy to be the enterprise leader in the category. In Q2, our revenues grew 10% year-over-year, ahead of our guidance and consistent with our expectations that Q2 would be a baseline for stabilization going forward. We saw great leading indicators for growth in pockets of our business, including key wins in manufacturing, energy, transportation and government, which Anne will talk about. Excluding the technology vertical, our Q2 revenue growth rate would have been in the mid-teens. We also reported free cash flow positive of $12.8 million, or 7% on a free cash flow margin basis in Q2, reflecting our continued focus on operational discipline. The number of customers spending over $100,000 or more grew 17% year-over-year. We had a record number of multi-year deals as we continue to build partnerships with industry leaders and the most innovative companies in the world, who are redefining how they work. In fact, two of the most well-known AI lab companies had significant expansions in Q2 as they adopted Asana internally and partnered with us on the technology front as well. We are clearly on the right path and are confident that our business will accelerate, however, the macro headwinds persist. Also, the technology vertical remains a drag on our overall growth. At the same time, we see encouraging signs in some of our top verticals, such as retail and consumer goods and media and entertainment. We have more work to do, and this quarter marks a stabilization point from which we're well poised to inflect in the coming quarters. Today, we're at a pivotal moment where AI, particularly Generative AI, has enormous potential to revolutionize work management and reshape the software industry. This era of AI transformation is poised to be as significant as, if not more than, the digital transformation trend that preceded it. At Asana, we're laser-focused on unlocking the potential of AI for our customers. At our Work Innovation Summit in San Francisco this June, we previewed for the first time Asana AI workflows, a groundbreaking advancement that leverages AI to manage your work, helping our customers tackle complex workflows and elevate teamwork with AI. These AI workflows, which have been in beta since June, will be part of our upcoming paid offering, Asana AI Studio, launching in October, the AI studio platform will allow customers to build, deploy, and enhance workflows with AI teammates taking on some of the work. In AI studio, a program manager or any designated team member can dictate where an AI teammate can start doing useful work without anyone else having to learn something new, adopt a new application, or change their behavior. Importantly, employees don't need to go elsewhere to access this AI capability. It's embedded right where they work every day. This provides a practical powerful solution for organizations trying to adopt AI internally. It also means you have existing integrations to all your important tools across CRM, finance, HR, productivity suites, and more. This supports our long-term strategy to be the hub that moves work forward across your systems using AI. Of course, automated workflows and workflow builders have been around for years, but now customers have the ability to design these workflows in Asana with AI teammates to assist with any step in the workflow. Customers will be able to subscribe to AI studio builder and begin creating and deploying AI workflows. This model will allow customers to unlock AI actions on a consumption basis, allowing enterprises to buy exactly what they need to fit their organization at that moment in time. It's been exciting to see the early momentum in our AI Studio beta program since we rolled it out in June. The Beta program has already attracted industry leaders across various sectors, including media, technology, financial services, manufacturing, healthcare, professional services, and consumer goods. There's a healthy amount of skepticism around AI and the value it's currently providing in the enterprise. My view is we're still early in the adoption cycle, especially in businesses, and customers are just beginning to successfully leverage the potential and understand how to apply it effectively to more parts of their business. AI is powerful, but it demands new skills and behaviors from users. Most of these capabilities are currently being offered in chat apps and copilots, leaving it up to every individual to determine how to extract value. Likewise, autonomous agents are not ready to take over real roles in an organization. They're too unpredictable and unreliable. Effective AI adoption means integrating AI directly into everyday work and workflows, where AI can drive meaningful and measurable impact at scale, complementing human efforts rather than replacing them. Let me detail a few specific early use cases from actual customer implementations to make this real for all of you. Regardless of industry or size, every company has work and workflows that touch multiple departments and teams, such as strategic planning, customer service, store openings, procurement, and due diligence. Coordinating work cross-functionally is notoriously difficult because it extends across teams, tools and geographies. Work intake is oftentimes the bridge across a lot of these teams' tools and processes, and now Asana AI teammates can not only improve the process holistically, it can manage and do a lot of the work. Each of the four phases of cross-functional work gets easier, including intake. This is where AI teammates are able to refine tasks, extract data, triage requests, prioritize work, communicate with requesters, and route tasks. Next stage is planning, where AI teammates are able to summarize requests, conduct research, including via integrations with other tools, and recommend next steps. Execution, where AI teammates are able to draft content, do translations, incorporate feedback, and answer questions using various data sources. And finally, reporting reflection. This is where AI teammates are able to update metadata for reporting and suggest retrospective topics, driving continuous improvement. One of our customers, a global cybersecurity leader, has tested how our AI teammates can contribute to their global marketing organization and significantly improve their processes for intaking email requests to execution. Before Asana AI teammates, they faced challenges with missing information and submissions, time-consuming prioritization meetings, and delays in global market launches. Our AI teammates have shown how we can address these pain points comprehensively. So the first step is requesting intake. AI can now evaluate requests at the point of submission, auto-naming them for clarity, and proactively flagging missing information. Requests are summarized in natural language, making their relative importance clear at a glance. Second step, prioritization. We've shown how we can streamline their alignment meetings with better first stab prioritization, reducing the time spent on these sessions. Third step, execution. Perhaps most impressively, this customer has expressed how this can eliminate translation delays that have previously caused more than two-week gaps between English and other market launches. Now, all launches can happen simultaneously, ensuring no market feels deprioritized and the marketing organization can deliver a more consistent, improved customer experience globally. It's worth noting that this AI-powered solution replaces the need for dedicated, industry-specific translation software or services that companies might traditionally use for such tasks. And we expect to offer this for much less than what those traditional translation services cost, providing significant value and cost savings to customers. Last, reporting. In the reporting reflection phase, AI can update metadata, which, you know, as custom fields, to inform work reporting and suggest topics for retrospectives. This helps teams capture learnings and insights more effectively, leading to continuous improvements in their processes. Let me share another customer example. A global leader in outdoor advertising has been testing Asana AI teammates for their creative request intake process across regions. The team is very encouraged by the potential hearing. In the words of the VP of marketing operations, it allows them to prioritize the bigger things they want to do to show more business impact and affect the bottom line. Importantly, this customer views AI as an enabler for human creativity and strategic thinking, not as a replacement for human work. This encapsulates our vision for AI teammates, tools that enhance human capabilities, drive efficiency and ultimately contribute to our customers' bottom line. These stories exemplify how our AI capabilities built on the foundation of our unique and proprietary Work Graph data model can drive efficiency, improve collaboration, and ultimately contribute to better business outcomes for our customers. It's a testament to the power of AI teammates working alongside human teams to enhance productivity and strategic impact. These are just a few early examples of AI teammates in action. We hope to be able to report next year that we have hundreds or even thousands of such workflows at a meaningful number of our customers. Now, let me talk about how we're capturing the consolidation opportunity. We remain in a budget-focused environment and customers are looking for consolidation opportunities. Our proven ability to scale the structural advantages of the Work Graph, especially as it relates to AI, and our focus on essential functions across the enterprise, makes us particularly well-suited to capitalize on this opportunity. We believe we're the only collaborative work management platform that's proven at scale for large enterprises and we have several customers with over 10,000 seats and one customer with 200,000 seats actively deployed. In practice, there's no organization too big for Asana, and we've proven that the value and differentiation of Asana accrues with scale, thanks to our unique and differentiated data model. To support this effort and help our customers realize more value even faster, we're expanding the baseline offering of our enterprise tiers. In addition to premium AI features, we're adding more high-value functionality like request tracking and work intake, resource management, enhanced executive reporting, and visualizations of how goals and work are inextricably linked in Asana. We're also rolling out unlimited view-only licenses to see work in Asana with an in-product path to request a paid license to comment or add work. We think this has the potential to meaningfully contribute to paid seat growth within our accounts. Finally, we announced our official commitment to pursue FedRAMP certification, which will unlock new market opportunities in government agencies and other regulated industries. These initiatives are designed to help enterprises quickly achieve the critical mass needed to fully leverage the AI-enhanced work graph and consolidate their work management needs on a single, powerful platform. Finally, let me explain how we believe AI will help us drive revenue and adoption in three key ways. First, it already enhances the value we deliver in our core work management functionality, such as smart goals and smart status features. This is what customers get in most of our packages today, depending on their tiers. Second, AI is enabling us to introduce new add-ons, and we have specific ones we're developing now. Resource planning will be a license-based add-on, for example. And third, we continue to believe in the potential of usage-based AI revenue. We're in the early stages here, but we're learning more on this front every day from our customers in our AI Studio beta program, which we're expecting to formally launch soon. In closing, we're clearly making progress with our enterprise strategy, but the shape of the reacceleration curve will be very modest in the next few quarters and more pronounced later. We're confident it'll happen because we've already seen it in some segments of the business, and we're beginning to see stabilization in others. We remain committed to a sustained, positive free cash flow by the end of Q4. We're winning strategic customers across important industries, closing more multi-year deals, and investing in AI to meet enterprise demands. We're excited to share more of our innovation and customer success stories at the Work Innovation Summit in New York City on October 22nd and again in London on November 13th. We hope to see you there. Before I hand it over to Anne, I'd like to also say a few words about the announcements we made today in conjunction with our earnings release. As you've probably read, we announced Tim's departure and the arrival of a new CFO. Change is always bittersweet, but it's part of being in a high-growth environment. As many of you already appreciate, Tim has been a great leader, partner, and friend for all of us at Asana for almost eight years, and now, he'll be handing over the Baton. He's been an integral part of the Asana journey, joining Asana in 2017, building financial infrastructure to help us scale, and navigating us through our entry into the public markets, and improving operating margins dramatically while we continue to invest in growth. I'll miss working with Tim. He's been a strong partner to me and the Asana leadership team, but he'll remain on as an advisor to help in the transition. Tim, we're very grateful for your many contributions. At the same time, I'm excited to announce our new Chief Financial Officer, Sonalee Parekh. Sonalee is a Seasoned Finance Executive with over 25 years of experience in high-growth technology. Most recently, she was CFO of RingCentral. Sonalee brings deep operational and financial experience in leading companies at scale. I look forward to partnering with her in our next stage of growth. And with that, I'll hand it over to Anne.