Thank you, Chris, and good afternoon, everyone. We delivered strong first quarter results, generating $162.1 million of revenue, up nearly 20% year-over-year. That top line growth continues to be paired with efficiency improvements as we increased our non- GAAP operating margin by over 900 basis points year-over-year and realized our fourth straight quarter of non-GAAP net income profitability, achieving over $7 million of net income and nearly $23 million of free cash flow in the quarter. We are proud of our financial success as we continue our mission to become the leading customer engagement platform on a global scale and look forward to achieving sustained profitable growth in the coming quarters and years, while thoughtfully reinvesting in our business and building our competitive moat. Despite an environment that remains noisy and uneven, we continued our momentum from Q4, achieving strong bookings as we got off to a good start in fiscal 2026. Thus far, global trade concerns have yet to materially affect deal cycles. And in the first quarter, we secured a diverse set of new business wins and upsells, including Beyond Inc., Chamberlain Group, Evite, Freshket, Fubo, LUSH Cosmetics, Njuskalo, ThredUP and many others. Our customer count rose to 2,342, up 46 sequentially and up 240 versus the prior year. Our large customer additions were again strong with $500,000 plus ARR customers, rising 24% year-over-year to 262, demonstrating the need for enterprises to deploy AI-based solutions and leverage first-party data to drive sophisticated cross-channel customer engagement at scale. We also continue to replace legacy marketing clouds across verticals and around the world, including at a North American FinTech, a global luxury retail brand, an EMEA insurance comparison firm, a North American amusement park chain, an EMEA Fashion House and APAC Tourism Board, a North American clothing marketplace, a U.S. health care company, a construction equipment rental firm in APAC a U.S. gaming company and an EMEA professional sports organization, among many others. We also continued to win against both channel-specific point solutions and homegrown tools across a diverse set of industries, geographies and use cases. And it's that diversification, which supports our results even as the economic and geopolitical environment remains dynamic. As we continue our substantial and focused investment on our journey to become the recognized leader in customer engagement, we are confident that the legacy replacement cycle and vendor consolidation trends will persist, presenting Braze with opportunities to increase market share as brands increasingly seek to improve their customer engagement strategies and leverage new AI-driven advancements to simultaneously achieve better results and higher levels of productivity. Meanwhile, our legacy competitors continue to stand still. Failing to innovate or adapt as the modern customer engagement landscape continues to forge ahead in both scope and sophistication. Braze remains focused and forward-looking as we deploy AI in tandem with first-party data activation, applying leading-edge reinforcement learning and generative AI technology to an ever-evolving set of messaging channels and product interfaces to help our customers deliver more relevant customer experiences and grow their businesses. This multifaceted strategy was on display just a few weeks ago as we announced the general availability of RCS messaging, in-product banners and canvas context. Separately, these are important upgrades to our channel offerings, orchestration environment and visual programming language, but it's a combination of these capabilities with our increasingly robust Braze AI suite that really makes our product road map shine whether a brand is orchestrating a dynamic customer journey, initiating an interactive conversational experience or enhancing core product offerings, the tools and skills of customer engagement are there to help them identify and optimize every one of the moments that matter in the customer journey. As the Braze product races ahead, we also continue to invest heavily in the community of marketers and agencies that are the foundation of the broader Braze ecosystem. And we firmly believe that now is the ideal moment to elevate the craft of customer engagement as marketers lead behind the drudge work of campaign creation and ascend to being a maestro of experience. By combining the accelerated capabilities of reinforcement learning and generative AI, we believe that marketers can ascend to a strategic conductor role responsible for prioritizing and driving business goals as brands unlock new opportunities for growth on the back of their continued investments in first-party data and the building of direct-to-consumer relationships. The enhanced flexibility of data, expansion of communication channels, rapid advance of AI and rising skill sets of marketers present brands with an unprecedented opportunity to engage with their customers, fostering enduring relationships that are the foundation of efficient brand growth. This goes beyond the conventional notion of delivering the right message to the right channel at the right moment. It involves gaining a deeper understanding of customers, engaging with them more holistically and reinforcing customer connections by providing seamlessly integrated messages and product experiences. Agentic AI plays a vital role in enhancing relevance and enabling extensive personalization as these decision-making agents independently test, learn and provide highly tailored experiences to customers. To accelerate our progress in this area, earlier this week, we successfully closed the acquisition of OfferFit, a leading AI decisioning company that leverages proprietary reinforcement learning to enable brands to deliver highly relevant and personalized customer engagement at scale. OfferFit has spent the last 4.5 years building and deploying a leading multi-agent solution that autonomously explores solution spaces across life cycle marketing campaigns, creating highly customized recommendations for cross-channel campaign content and delivery strategies. By substituting the manual processes of AB testing with reinforcement learning agents that independently experiment and identify optimal actions, OfferFit's advanced AI decisioning can be utilized across a diverse range of experimentation and optimization scenarios. This approach has been highly successful, enabling OfferFit to quickly land and expand with large enterprises across a diverse set of industry verticals. After years of successful product partnership, we are now working quickly to fully integrate OfferFit's multi-agent decisioning engine into Braze's customer engagement platform. By leveraging the Braze data platform, dashboard infrastructure and our already scaled event-driven stream processor, we anticipate that OfferFit will be able to simultaneously accelerate their previously independent road map, even while we prioritize the many integration tasks that will lay a strong foundation for future innovation and scaling. Together, we believe we can enable brands to leverage cutting-edge technologies in automation and machine learning, transforming customer relationships and creating shared value for both consumers and businesses. In the short term, we anticipate that OfferFit solution will enable us to increase deal sizes through their distinctive reinforcement learning products and services, while also setting us apart from competitors by offering a broad range of AI-driven optimization capabilities at various price tiers and service levels. In the medium term, similar to our approach with other key components of Braze AI, we plan to integrate OfferFit agents and machine learning models throughout the Braze platform. This integration will empower us to collaboratively address new use cases and improve existing features, ultimately helping brands achieve higher uplift with lower effort. The integration of OfferFit also complements Braze's Project Catalyst, a native AI agent aimed at helping brands personalize and optimize experiences through highly relevant journeys and content at scale, which is now available in private beta. Finally, we are confident that over the long term, their solution and AI expertise will help Braze accelerate progress on several long-running initiatives in Braze AI and Canvas, reinforcing our position as a leader in AI and customer engagement. We are thrilled to welcome OfferFit's team and technology to Braze, enabling our combined experience in machine learning and AI to enhance our product ecosystem and create exceptional experiences for our customers and their end consumers. We are excited to build the future of customer engagement together and look forward to unveiling more about the OfferFit integration, Braze AI and our broader road map at Forge, our annual flagship Customer Conference in September. And before I go, I'm excited to share that when we arrive at Forge in September, I'll be joined by the latest addition to our executive team as Ed McDonnell will be starting at Braze as our new Chief Revenue Officer in early July. Ed brings a wealth of experience and qualifications to this role with a proven track record of building and scaling revenue at leading SaaS organizations. As a former Executive Vice President and CRO at Salesforce Marketing Cloud, he developed a deep understanding of the customer engagement landscape and successfully scaled a multibillion-dollar marketing technology business. Most recently, he served as CRO at Asana, where he led revenue growth in the work management sector. His transition back to marketing technology underscores his strong belief in Braze's market position and growth potential in the customer engagement space. We are very excited to have Ed joining us soon, rounding out what we believe to be a best-in-class SaaS leadership team here at Braze. Thank you for your continued interest and support. And now I'll turn the call over to Isabelle.