Thanks, Andrew. Good afternoon, and thank you for joining our fourth quarter and full year 2025 earnings call. Before I get into the quarter, I want to address the moment we're in. AI is changing how people discover, how they form intent, narrow choices and move from inspiration to action. Pinterest is designed for this shift. When users have intent, but don't have the exact words, brand or product in mind, that's where we win. I'm proud of how we've transformed the company over the past 3.5 years. We've taken Pinterest from a platform with declining users into a growing AI-powered visual-first shopping assistant and search destination that has now put up 10 straight quarters of record high users. Today, we see over 80 billion monthly searches on our platform, most of which are visual and generate 1.7 billion monthly outbound clicks. Over that same time period, we've launched numerous performance ads products to build a unique full funnel ads platform, moving from single-digit revenue growth to consistent mid-teens or better revenue growth, all while significantly expanding margins. All of this combines to make Pinterest a stronger, more profitable business than ever before. We ended 2025 with 619 million global MAUs, up 12% year-over-year in Q4. User growth accelerated in the second half as we continue to introduce AI-led features for both users and advertisers. However, we are not satisfied with our Q4 revenue performance and believe it does not reflect what Pinterest can deliver over time. While we absorbed an exogenous shock this year related to tariffs, which are disproportionately affecting ad spend from our top retail advertisers, this quarter also underscored where we need to move faster. Most importantly, we need to further broaden our revenue mix and accelerate the next phase of our sales and go-to-market transformation. These efforts will be led by Lee Brown, who joined in late January as our first Chief Business Officer. We are moving with urgency to return over time to the mid- to high teens growth or better that we have been consistently delivering. The path forward is clear, and we're laser-focused on delivering the next phase of Pinterest. Our priorities, which I will walk you through today are to: first, continue building a differentiated visual search, discovery and shopping experience. We have made Pinterest into a highly personalized visual-first shopping destination, and we need to continue to build on our strong momentum with users. Second, keep AI at the core of everything we do from highly personalized user experiences and new features like Pinterest Assistant to the advertiser experience through Pinterest Performance+ and to optimizing our own internal operations. And third, accelerate monetization through improved go-to-market and sales execution, so our revenue consistently reflects the strength of our user activity. With that context, I want to begin where every platform starts with users and engagement. It's clear that we are in a period of rapid innovation in our industry with new AI chatbots quickly scaling to hundreds of millions of users. However, competing for user engagement is not new to us, and we have been able to thrive because we are doing something separate and distinct. During that same period when AI chatbots were scaling, we reported 10 consecutive quarters of record high MAUs, 100% of which are logged in and reached 105 million UCAN MAUs. The Gen Z population, who are often the earliest adopters of this new technology like AI chatbots are also flocking to Pinterest. Gen Z represents over 50% of the users on Pinterest today, and they remain the fastest-growing user cohort on our platform. Our ratio of weekly active users to monthly active users or WAU-to-MAU ratio has held steady year-over-year even as we achieve record highs in users. Importantly, we're also deepening engagement per user in the areas that matter most as queries, boards created and clicks to advertisers continue to grow faster than users overall, both globally and also in our highest engagement UCAN region specifically. To understand how we've been able to carve out this distinct position and grow users and engagement even as chatbots scale, I'd like to expand upon how we positioned our platform for visual search and discovery. Stepping back, e-commerce spent the first 2 decades focused on perfecting buying online, cheap and fast fulfillment, often at the expense of shopping, the joy of discovering what you actually want. Today, there are countless places to buy, but few great places to shop, and that's where visual discovery matters most. As AI adoption accelerates, general purpose search is increasingly up for grabs as the largest players pour capital into general purpose LLMs. But fit-for-purpose search still wins in key verticals like travel and consumer products. Our differentiation is clear. We're using AI to power visual search, discovery and shopping, not general-purpose text-based search. Pinterest sees over 80 billion searches a month and the vast majority are visual, while our newest visual search features are growing fastest. Engagement is growing because our unique curation signal and taste graph, combined with cutting-edge AI has improved relevance significantly and made our surfaces much more actionable. Users open Pinterest to a personalized visual feed that starts their shopping journey without having to enter a prompt, bringing the Promise of Agentic commerce to life. And they can buy seamlessly by linking to an advertiser's mobile app or site or increasingly via one-click checkout from the advertiser within our app. As I've said before, in many ways, AI is following the same pattern cloud computing did over a decade ago. It's rapidly becoming a set of foundational capabilities available to everyone. The winners will be the companies that combine those capabilities with truly differentiated data and solve problems in unique ways for users and customers. That's exactly what we do at Pinterest. We have created one of the largest search destinations in the world by pairing those building blocks with our unique feedback loop and data set, one of the largest image corpuses in the world and the rich curation signal from hundreds of millions of users that forms our taste graph. In 2025, our taste graph grew by nearly 40% as users make more associations across pins, products, boards, retailers and brands. A larger taste graph means we can surface more relevant content and make truly differentiated recommendations. Not only do we have differentiated signals, we're also leveraging AI in a highly capital-efficient manner. We're model agnostic and focus on what delivers the best results for our specific use case, giving us the flexibility to test multiple approaches. As a result, we use a combination of AI models, including our own proprietary fit-for-purpose foundation models, leading third-party proprietary models and increasingly open source models that we fine-tune on our unique signal. In 2025, we introduced OmniSage, our core AI model trained on our taste graph to turn those associations into a single high-value recommendation signal used to retrieve and rank content. The application of OmniSage drove a 450 basis point lift in site-wide saves. Additionally, in a continuation of our work to increase context windows and bring a user's full history across all major surfaces on Pinterest, we developed a proprietary foundation ranking model called PinFM. This model distills lifetime user actions into the recommendations on the home feed and related pens, driving personalization in nearly every impression our users see. This launch brought meaningful site-wide engagement gains, including a 240 basis point increase in saves across the platform. Finally, as open source models have made tremendous strides in performance, we developed a model framework called Navigator One, which allows us to leverage visual embeddings built on our taste graph and fine-tune open source models to power our newest AI-driven experiences. This framework reduces latency and delivers approximately 90% reduction in cost versus utilizing a leading third-party proprietary model. These models form the foundation for the next generation of AI-driven discovery experiences on Pinterest. A great example of this is Pinterest Assistant, which we launched in beta in Q4. Pinterest Assistant is a voice-activated, visual-first conversational assistant that will leverage Navigator One to expand our multimodal discovery capabilities and seamlessly flow between images, voice and text. While we're still iterating, we're encouraged by how people are using the product. Compared with traditional text-based search, users are asking a significantly higher share of commercially oriented questions, about 25 percentage points more when using Pinterest Assistant. Pinterest Assistant also helps users learn the names and terms for whatever they're looking for, making it easier to find similar items in the future. That's exactly the kind of high-intent, high-value engagement we want to enable. We expect to meaningfully broaden access to U.S. users over the coming months. Lastly, AI is at the core of how we are improving efficiencies internally as roughly 50% of our new code is AI generated. Taken together, these advances give us confidence that we can keep improving relevance, engagement and advertiser performance while remaining disciplined on AI spend by leveraging Pinterest's unique first-party data. With that, now I'll turn to the fourth quarter and our priorities for the year ahead. As I stated upfront, we are not satisfied with our Q4 revenue growth, and we are moving with urgency to close the gap. Many of the largest retailers have been disproportionately impacted by tariffs and have been pulling back on advertising spend across the industry as they seek to protect their margins. Our higher mix of large retailers relative to some of our peers has resulted in us feeling more of an impact. This highlights the need for us to further accelerate our growth with a broader set of mid-market, SMB and international advertisers with less than $30 billion of GMV. This is the next phase of our sales and go-to-market transformation. Stepping back, as we were building our performance ads platform, we deliberately started by serving the largest retailers, given that is where consumers do the most shopping and was the fastest way to provide comprehensive inventory and selection to shoppers. This strategy has been effective as reflected in our user and engagement trends and in our ad supply with paid clicks to advertisers up roughly fivefold over the last 3 years. However, this strategy is also what has led to higher exposure to large retailers compared to some other platforms. We saw continued softness from this cohort of large retailers in Q4. While we see opportunity over the long term, the near-term outlook for this cohort on our platform remains pressured given these headwinds. At the same time, the scale of the monetization opportunity we're pursuing has grown significantly. We're now competing for full funnel and performance marketing budgets across a broader range of advertisers and global markets than ever before. We made significant progress growing with a broader set of mid-market, SMB and international advertisers in 2025, but not enough to offset the headwinds that the largest retailers faced. So we've proven we can serve mid-market SMBs and international advertisers, but we need to accelerate our growth within these segments. Also, while we've made progress evolving our sales organization from primarily selling upper funnel brand advertising a few years ago to full funnel and performance marketing, our monetization still doesn't fully reflect the value of the clicks and conversions we're driving. This quarter made it clear that capturing this opportunity requires a higher level of sales and go-to-market sophistication with globally scaled selling motions as well as deeper technical expertise, particularly around measurement and attribution. To lead this next phase, we're pleased to welcome Lee Brown as our new Chief Business Officer, with responsibility for scaling Pinterest's global monetization efforts. Lee is a proven business and sales leader with deep experience building and growing advertising businesses at the intersection of technology, media and commerce. Claudine Cheever also joined us in February as our new Chief Marketing Officer, bringing extensive background with the world's largest online retailer. With this leadership in place, we believe we have the right team to pursue the significant long-term opportunity ahead. Now let me turn to the key levers we'll be executing against as we move through 2026. First, as I've shared, we're prioritizing broadening our revenue mix with a primary focus on deepening our footprint with both mid-market enterprises and SMB advertisers. These advertisers who on our platform range from roughly $30 billion down to tens of millions in annual GMV continue to represent a significant opportunity for us to scale advertiser demand. Relative to the largest advertisers I was describing earlier, we believe this group has exhibited stronger advertising spending trends in the current environment and has been a strong growth driver for competing ad platforms. By further unlocking this opportunity, we create a powerful flywheel. More diverse advertiser demand allows our models to serve more relevant, highly personalized ads to users. This relevancy not only improves the user experience, but drives superior performance for our advertisers and higher yield for Pinterest. While we're seeing healthy revenue growth from this group today, we believe we can accelerate that momentum over time with new leadership and a more sophisticated go-to-market approach, along with the enhancements we're making to Pinterest Performance+ that I will talk about in a moment. As part of our multiple ways to win, we've also been on a multiyear journey to bring in new sources of demand via multiple third parties to complement our first-party demand. We previously announced the agreement to acquire tvScientific, a leading connected TV performance advertising platform. This acquisition is an important step toward leveraging our valuable high-intent audience beyond Pinterest's own surfaces and starting to monetize off-platform supply. Acquiring tvScientific, which comes after a partnership and several years of exploration in this space, supports our road map to make Pinterest a full funnel and performance solution across search, social and over time, connected TV. It opens up larger and incremental budget pools. We're excited to welcome this outstanding team and to begin helping advertisers reach our high-intent audience on connected TV. Second, we're continuing to advance Pinterest Performance+ by investing in the next wave of bidding and performance enhancements. Since the end of 2023, we have increased the number of shopping SKUs with a paid ad impression by roughly 5x. Over the past year, we accelerated this trend with the launch of Pinterest Performance+ ROAS bidding in Q1 2025, which adds more granular bidding functionality and allows advertisers to optimize for conversion value, not just the number of conversions. We still see significant opportunity to deepen catalog penetration as we remain a long way from having bids and budgets against advertisers' full product catalogs. As advertisers increasingly adopt AI-driven automation platforms, the next step is optimizing our bidding system to become more tightly aligned with the advertisers' measurement source of truth. Late last year, we began to pilot integrations with a few of our most sophisticated advertisers proprietary in-house measurement systems to help us optimize bids to drive more of the outcomes those advertisers value. So far, this pilot has delivered promising results with one advertiser increasing its bids on Pinterest by more than 30%, reflecting the higher value it was seeing from the platform under this new value-based optimization approach. We expect to expand this pilot to additional large sophisticated advertisers in the first half of 2026. To serve an even broader set of advertisers who rely on third-party measurement partners, later this year, we will enable deeper direct integrations between Pinterest and a number of measurement partners. These integrations will allow automated 2-way data transfer, so we can continuously train and optimize our bidding models to reflect advertisers' highest valued outcomes and thus show up more favorably in their measurement systems. Additionally, these measurement systems are increasingly assigning more credit to events leading up to a conversion, such as view-through attribution. For example, Omnilux, a leader in medical-grade LED light therapy, partnered with Pinterest and its measurement partner, Northbeam. After leveraging Northbeam's Clicks + Deterministic Views model, Omnilux saw a 7x increase in attributed transactions to Pinterest through view-based attribution. For a full funnel platform like Pinterest, this shift should support increased budget allocations over time. As part of our broader effort to give advertisers more control over expressing what matters most to them and building upon campaign customer groups, which we introduced 2 quarters ago, we recently entered beta for Pinterest Performance+ new customer acquisition. Available exclusively through Pinterest Performance+ campaigns, this feature helps advertisers efficiently acquire new customers by allowing them to assign their own customized values to different audiences, so we can optimize toward that outcome. In initial testing, advertisers saw new customer conversions increase by an average of 64% in campaigns where new customer acquisition was enabled compared to control campaigns without it. In closing, this is a moment of extraordinary innovation at Pinterest and across our industry and one that we've been building towards for the last several years. Our user and engagement trends reinforce that our product direction is working, and we know where we need to execute better to drive faster and more durable growth to ensure monetization follows that engagement. Importantly, I'm proud not only of what we're building, but how we're building it. We've made deliberate choices that put user trust and well-being, especially for young users at the center of the experience, and we're seeing those choices rewarded as more users than ever come to Pinterest each month. It's clear that parents and regulators around the world are raising the bar for online safety, particularly for teens and kids. We're proud to lead the way by tuning our AI for positivity and giving our users more agency and choice over their experience. This positions us well as these standards evolve. We are creating a positive place on the Internet where people can invest in themselves and proving that you can build a strong business based on positivity. With that, I'll turn the call over to Julia to share more details about our financial performance.