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Asana Names Dan Rogers as Chief Executive Officer
Asana Names Dan Rogers as Chief Executive Officer

Business Wire

time12 hours ago

  • Business
  • Business Wire

Asana Names Dan Rogers as Chief Executive Officer

SAN FRANCISCO--(BUSINESS WIRE)-- Asana, Inc. (NYSE: ASAN) (LTSE: ASAN), a leading enterprise work management platform for human and AI coordination, announced today that Dan Rogers will assume the role of Chief Executive Officer, effective July 21, 2025. A proven executive with extensive experience leading high-growth technology companies, Rogers will succeed Dustin Moskovitz, Asana's Co-Founder and current CEO and Chair. As announced in March, Moskovitz will transition to the role of Chair, where he will contribute to product vision, strategic guidance and supporting Asana's artificial intelligence (AI) initiatives. Rogers joins Asana from LaunchDarkly, where he has served as CEO since 2023. During his tenure, he scaled the business while driving innovation and operational excellence. Rogers has helped some of the most influential companies in the cloud ecosystem to scale and grow their businesses. Prior to LaunchDarkly, Rogers was President of Rubrik, a cloud data management and data security company, and earlier in his career he served as Chief Marketing Officer at ServiceNow. With a track record of leading growth in transformative enterprise SaaS businesses, Rogers is well-positioned to guide Asana in its next phase of profitable growth. "I'm honored to lead Asana during this period of extraordinary transformation and build on the incredible foundation Dustin and the team have created," said Rogers. "Asana is a leading platform where humans and AI coordinate work effortlessly, to unlock enterprise productivity. I look forward to partnering with the talented team at Asana to pursue the next chapter of growth and deliver even greater value to our customers and stakeholders." "This moment represents an unprecedented opportunity for AI to evolve the way people work, and Dan is the leader with the experience, vision, and expertise needed to guide Asana into its next chapter," said Moskovitz. "As I step away from day-to-day operations, I remain committed to Asana's long-term success as Board Chair and I am excited to support Dan, especially with advancing our product vision and navigating the rapidly evolving AI landscape.' Under Moskovitz's leadership, Asana has grown into a leading enterprise work management platform for human and AI coordination. With more than 170,000 customers, Asana is trusted by over 85% of Fortune 500 companies and generates over $700 million in annual revenue. The company is recognized for its award-winning culture and innovative AI-powered solutions, which includes the recent launch of AI Studio. "On behalf of the Board, I want to thank Dustin for his visionary leadership and tireless dedication to Asana's mission,' said Lorrie Norrington, Asana's Lead Independent Director. 'We are thrilled to welcome Dan as our next CEO. His expertise and track record of leading innovative organizations makes him the ideal leader to embrace AI and drive Asana's continued growth and profitability." As CEO of LaunchDarkly, Rogers delivered on the vision of creating a platform for software teams to build successful products, expanding into release automation, experimentation, product analytics and AI engineering. As President of Rubrik, Rogers led products, marketing, specialist sales, go-to-market strategy, strategic alliances and corporate development. Prior to Rubrik, as Chief Marketing Officer at ServiceNow, Rogers was a part of the leadership team that grew the company to over $4.5 billion in revenue. Earlier in his career, Rogers held leadership roles at Amazon Web Services, Microsoft, Salesforce, and Symantec. Rogers graduated as a Baker Scholar from Harvard Business School and has a Bachelor of Science degree in economics from the University of Birmingham. Forward-Looking Statements This press release contains 'forward-looking' statements within the meaning of the Private Securities Litigation Reform Act of 1995 that are based on management's beliefs and assumptions and on information currently available to management. Forward-looking statements include, but are not limited to, statements about our forward growth and profitability, our market opportunity, the potential and impact of AI, our ability to execute on our current strategies, and our technology and brand position. Forward-looking statements generally relate to future events or Asana's future financial or operating performance. Forward-looking statements include all statements that are not historical facts and, in some cases, can be identified by terms such as 'anticipate,' 'expect,' 'intend,' 'plan,' 'believe,' 'continue,' 'could,' 'potential,' 'may,' 'will,' 'goal,' or similar expressions and the negatives of those terms. However, not all forward-looking statements contain these identifying words. Forward-looking statements involve known and unknown risks, uncertainties and other factors, including factors beyond Asana's control, that may cause Asana's actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking statements. Further information on risks, including but not limited to, risks and uncertainties related to the loss of one or more of Asana's key personnel, in particular Asana's co-founder, President, Chief Executive Officer, and Chair of the Board, Dustin Moskovitz, that could cause actual results to differ materially from forecasted results are included in Asana's filings with the SEC, including Asana's Quarterly Report on Form 10-Q for the quarter ended April 30, 2025 and subsequent filings with the SEC. Any forward-looking statements contained in this press release are based on assumptions that Asana believes to be reasonable as of this date. Except as required by law, Asana assumes no obligation to update these forward-looking statements, or to update the reasons if actual results differ materially from those anticipated in the forward-looking statements. About Asana Asana is a leading work management platform for human and AI coordination. Over 170,000 customers like Accenture, Amazon, Anthropic, Morningstar, and Suzuki rely on Asana to align teams and accelerate organizational impact. Whether it's managing strategic initiatives, cross-functional programs, or company-wide goals, Asana helps organizations bring clarity to complexity—turning plans into action with AI working alongside teams every step of the way. To learn more, visit

Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz
Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz

CNBC

time13 hours ago

  • Business
  • CNBC

Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz

Collaboration software maker Asana said Wednesday it has chosen former Rubrik and ServiceNow executive Dan Rogers to be its new CEO, replacing co-founder Dustin Moskovitz. Rogers will start at San Francisco-based Asana on July 21, the company announced. Rogers will leave his post as CEO of LaunchDarkly, a startup with software for carefully releasing code updates. Rogers joined LaunchDarkly in 2023. Moskovitz co-founded Facebook parent Meta before leaving to start Asana in 2008. In March, Asana said he would retire. Moskovitz will continue as chair of Asana's board of directors as the company works to diversify with artificial intelligence tools. Asana's AI Studio software generated over $1 million in annualized revenue during the April quarter. "This moment represents an unprecedented opportunity for AI to evolve the way people work, and Dan is the leader with the experience, vision, and expertise needed to guide Asana into its next chapter," Moskovitz said in a statement. "I am excited to support Dan." Moskovitz, whom Bloomberg estimates is worth over $11 billion, has received $5 in total compensation for the past five fiscal years. Rogers, by contrast, will receive a $650,000 base salary and $35 million in restricted stock units. Rogers will also be eligible for a $650,000 annual target bonus. Before joining LaunchDarkly, Rogers ran marketing at ServiceNow and Symantec, and he held roles at Amazon Web Services, Microsoft and Salesforce. He arrived at LaunchDarkly after spending three years as president of data management software company Rubrik. LaunchDarkly did not immediately respond to a request for comment on its own succession plans. After going public through a direct listing in 2020, Asana saw shares rise during the pandemic, alongside other software stocks. The stock price gradually drifted downward, and Moskovitz bought up more and more of the company. On Wednesday, the stock closed at $12.93 per share, down from its record close of $142.68 in November 2021. Moskovitz owns about 39% of outstanding Asana shares, according to FactSet. The stock was unchanged after hours following the CEO announcement.

Asana Names Dan Rogers as Chief Executive Officer
Asana Names Dan Rogers as Chief Executive Officer

Yahoo

time14 hours ago

  • Business
  • Yahoo

Asana Names Dan Rogers as Chief Executive Officer

Transformative Technology Leader to Drive Asana's Next Chapter of Growth and Innovation Succeeds Asana Co-Founder Dustin Moskovitz, who will remain Board Chair SAN FRANCISCO, June 25, 2025--(BUSINESS WIRE)--Asana, Inc. (NYSE: ASAN) (LTSE: ASAN), a leading enterprise work management platform for human and AI coordination, announced today that Dan Rogers will assume the role of Chief Executive Officer, effective July 21, 2025. A proven executive with extensive experience leading high-growth technology companies, Rogers will succeed Dustin Moskovitz, Asana's Co-Founder and current CEO and Chair. As announced in March, Moskovitz will transition to the role of Chair, where he will contribute to product vision, strategic guidance and supporting Asana's artificial intelligence (AI) initiatives. Rogers joins Asana from LaunchDarkly, where he has served as CEO since 2023. During his tenure, he scaled the business while driving innovation and operational excellence. Rogers has helped some of the most influential companies in the cloud ecosystem to scale and grow their businesses. Prior to LaunchDarkly, Rogers was President of Rubrik, a cloud data management and data security company, and earlier in his career he served as Chief Marketing Officer at ServiceNow. With a track record of leading growth in transformative enterprise SaaS businesses, Rogers is well-positioned to guide Asana in its next phase of profitable growth. "I'm honored to lead Asana during this period of extraordinary transformation and build on the incredible foundation Dustin and the team have created," said Rogers. "Asana is a leading platform where humans and AI coordinate work effortlessly, to unlock enterprise productivity. I look forward to partnering with the talented team at Asana to pursue the next chapter of growth and deliver even greater value to our customers and stakeholders." "This moment represents an unprecedented opportunity for AI to evolve the way people work, and Dan is the leader with the experience, vision, and expertise needed to guide Asana into its next chapter," said Moskovitz. "As I step away from day-to-day operations, I remain committed to Asana's long-term success as Board Chair and I am excited to support Dan, especially with advancing our product vision and navigating the rapidly evolving AI landscape." Under Moskovitz's leadership, Asana has grown into a leading enterprise work management platform for human and AI coordination. With more than 170,000 customers, Asana is trusted by over 85% of Fortune 500 companies and generates over $700 million in annual revenue. The company is recognized for its award-winning culture and innovative AI-powered solutions, which includes the recent launch of AI Studio. "On behalf of the Board, I want to thank Dustin for his visionary leadership and tireless dedication to Asana's mission," said Lorrie Norrington, Asana's Lead Independent Director. "We are thrilled to welcome Dan as our next CEO. His expertise and track record of leading innovative organizations makes him the ideal leader to embrace AI and drive Asana's continued growth and profitability." As CEO of LaunchDarkly, Rogers delivered on the vision of creating a platform for software teams to build successful products, expanding into release automation, experimentation, product analytics and AI engineering. As President of Rubrik, Rogers led products, marketing, specialist sales, go-to-market strategy, strategic alliances and corporate development. Prior to Rubrik, as Chief Marketing Officer at ServiceNow, Rogers was a part of the leadership team that grew the company to over $4.5 billion in revenue. Earlier in his career, Rogers held leadership roles at Amazon Web Services, Microsoft, Salesforce, and Symantec. Rogers graduated as a Baker Scholar from Harvard Business School and has a Bachelor of Science degree in economics from the University of Birmingham. Forward-Looking Statements This press release contains "forward-looking" statements within the meaning of the Private Securities Litigation Reform Act of 1995 that are based on management's beliefs and assumptions and on information currently available to management. Forward-looking statements include, but are not limited to, statements about our forward growth and profitability, our market opportunity, the potential and impact of AI, our ability to execute on our current strategies, and our technology and brand position. Forward-looking statements generally relate to future events or Asana's future financial or operating performance. Forward-looking statements include all statements that are not historical facts and, in some cases, can be identified by terms such as "anticipate," "expect," "intend," "plan," "believe," "continue," "could," "potential," "may," "will," "goal," or similar expressions and the negatives of those terms. However, not all forward-looking statements contain these identifying words. Forward-looking statements involve known and unknown risks, uncertainties and other factors, including factors beyond Asana's control, that may cause Asana's actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking statements. Further information on risks, including but not limited to, risks and uncertainties related to the loss of one or more of Asana's key personnel, in particular Asana's co-founder, President, Chief Executive Officer, and Chair of the Board, Dustin Moskovitz, that could cause actual results to differ materially from forecasted results are included in Asana's filings with the SEC, including Asana's Quarterly Report on Form 10-Q for the quarter ended April 30, 2025 and subsequent filings with the SEC. Any forward-looking statements contained in this press release are based on assumptions that Asana believes to be reasonable as of this date. Except as required by law, Asana assumes no obligation to update these forward-looking statements, or to update the reasons if actual results differ materially from those anticipated in the forward-looking statements. About Asana Asana is a leading work management platform for human and AI coordination. Over 170,000 customers like Accenture, Amazon, Anthropic, Morningstar, and Suzuki rely on Asana to align teams and accelerate organizational impact. Whether it's managing strategic initiatives, cross-functional programs, or company-wide goals, Asana helps organizations bring clarity to complexity—turning plans into action with AI working alongside teams every step of the way. To learn more, visit View source version on Contacts Media Contacts: Eva Leung Asana Investor Relationsir@ Frances Ward Asana Communicationspress@

Why Product Analytics And Experimentation Must Converge
Why Product Analytics And Experimentation Must Converge

Forbes

time16-06-2025

  • Business
  • Forbes

Why Product Analytics And Experimentation Must Converge

Dan Rogers, CEO of LaunchDarkly. getty For too long, software teams have been forced to choose between knowing what's happening and understanding why. Product analytics told us where users dropped off, but not what would have worked better. Experimentation lets us test new features, but often with little context about where to start or which users to target. That separation has created blind spots, bottlenecks and bad decisions. Here's the reality: Observing user behavior without testing hypotheses is passive. Testing ideas without grounding them in real data is reckless. And in today's fast-moving software economy, where AI is reshaping everything from feature behavior to user expectations, neither approach on its own is enough. That's why the smartest companies aren't just experimenting—they're converging experimentation with product analytics to form a single, continuous learning loop. Product analytics and experimentation were never meant to operate in isolation. Yet in many companies, they still do. Analytics teams study dashboards and funnel reports, trying to extract insights weeks after a release. Meanwhile, product and engineering teams run A/B tests that aren't always informed by behavioral data or worse, aren't measured rigorously post-launch. It's a disconnected process that leads to slow iteration, guesswork and features that underperform. This siloed model might have worked a decade ago. It doesn't anymore. In today's environment, where user expectations shift rapidly and AI models behave unpredictably, the only way to build confidently is to create a real-time loop between insight and action. When analytics and experimentation converge, every behavior pattern becomes a hypothesis to test. Every test becomes a data point to analyze. Every decision becomes more grounded, targeted and measurable. Take a familiar example. Let's say your analytics show users abandoning the checkout flow at the payment stage. Without experimentation, you might guess it's the form layout, rewrite some code and hope conversion improves. But when you unify analytics and experimentation, you can design an experiment with different form layouts, deliver those layouts to specific user segments (like first-time buyers versus returning customers) and track conversion alongside other behavioral signals. In a matter of days, you're not just identifying what's broken—you're discovering how to fix it, who it affects most and what the downstream impact will be. Savage X Fenty (a client of LaunchDarkly) offers an example of how some companies are integrating experimentation into their day-to-day operations. By embedding testing directly into workflows, they've been able to move more quickly and identify useful insights earlier in the process. This same model is proving critical in AI-powered products, which are inherently unpredictable. With traditional development, teams can test deterministic logic. But with AI, you're managing variables like prompt structure, model drift and real-time learning. Unified experimentation and analytics allow AI teams to iterate on models and parameters in real time while monitoring performance, user satisfaction and potential risks. It starts with identifying where users struggle. Instead of guessing, teams can use analytics to reveal friction points like areas of drop-off, hesitation or confusion. From there, they form hypotheses rooted in actual behavior, not hunches. Experiments are then crafted to target those behaviors, often delivered to different user segments to see how responses vary. Once experiments are live, results flow directly into the same analytics infrastructure that tracks overall product usage, ensuring teams aren't evaluating changes in a vacuum. Over time, this becomes a habit. Teams observe, test, learn and refine. Not once, but continuously. Unifying product analytics and experimentation isn't just a more efficient way to work—it fundamentally changes the way teams build. Product managers, engineers and data scientists begin to operate from a shared reality. Instead of siloed reports and speculative ideas, they have a common, evolving source of truth. This is how modern software development should function. Continuous delivery needs continuous learning. Anything less is leaving value and velocity on the table. The companies that get this right won't just build faster. They'll build smarter. They'll ship products that are tuned to their users, backed by evidence and constantly improving. They'll foster a culture of curiosity, rigor and resilience. And in a world of constant change, that mindset becomes the true competitive advantage. Because today, the winning teams aren't just the ones who move quickly—they're the ones who learn even faster. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

LaunchDarkly Introduces New Release Observability, AI Configurations, and Analytics Capabilities to Help Developers Innovate Faster Without the Risk
LaunchDarkly Introduces New Release Observability, AI Configurations, and Analytics Capabilities to Help Developers Innovate Faster Without the Risk

Yahoo

time14-05-2025

  • Business
  • Yahoo

LaunchDarkly Introduces New Release Observability, AI Configurations, and Analytics Capabilities to Help Developers Innovate Faster Without the Risk

OAKLAND, Calif., May 14, 2025 (GLOBE NEWSWIRE) -- LaunchDarkly today announced multiple platform innovations at its annual Galaxy user conference to help engineering and product teams deliver with both high velocity and lower risk. With the rise of AI-generated code, development teams are no longer just navigating faster development cycles, they're facing an unprecedented surge in code volume that dramatically expands the surface area for bugs, broken experiences, and application outages. The latest capabilities at LaunchDarkly give teams the tools they need to innovate boldly—without exposing customers or businesses to unnecessary risk. By bringing observability, AI controls, and analytics directly into the release process, LaunchDarkly is enabling engineering and product teams to ship with confidence, respond to application issues, and continuously improve the user experience. 'Software used to evolve quarterly. Today, it changes by the hour. And with AI systems adapting in production, often unpredictably, release management at feature level granularity has become mission-critical,' said Dan Rogers, CEO of LaunchDarkly. 'Teams need the ability to ship with precision, respond in real time, and continuously optimize what's live. That's what LaunchDarkly delivers: a safer, smarter way to build and release software in an AI-powered world.' Platform Updates Introduced at Galaxy '25: Guarded Releases – Observability at the Point of ReleaseGuarded Releases pair progressive rollouts with real-time monitoring, automated rollback, and feature-level observability. Teams can now identify regressions instantly and correlate them directly to specific changes, preventing incidents before they impact users. With the recent integration of LaunchDarkly extends observability to include telemetry data like metrics, logs and traces at the point of release. AI Configs – Runtime Control Plane for Model and Prompt ManagementAI Configs give teams a centralized control plane to manage prompt and model configurations for AI-powered applications. Teams can safely iterate in production, monitor key metrics like cost and latency, and deploy fallback strategies when things go wrong without any code changes. This reduces risk while accelerating the development of AI features. Warehouse-Native Experimentation & Product AnalyticsLaunchDarkly now gives teams real-time insights into user behavior and feature engagement, powered directly by their data warehouse. With warehouse-native experimentation and product analytics, teams can quickly understand what's working, what's not, and how every feature impacts business outcomes. The recent integration of Houseware strengthens these capabilities by making it easier to run experiments, analyze results, and iterate faster, all within the existing data ecosystem. 'Generative AI is fundamentally changing the relationship between the code we build, the code we deploy, and the code we maintain in production. Experimentation, understanding user behaviour, is now a necessity, not a luxury,' said James Governor, RedMonk co-founder. 'LaunchDarkly is building observability into its core offerings, deepening its focus on analytics, and doubling down on release management to create an integrated platform for progressive delivery in the AI era.' AvailabilityGuarded Releases, AI Configs, and Warehouse-Native Experimentation & Product Analytics are generally available today. Advanced observability features within Guarded Releases, including error monitoring, session replay, and telemetry integrations, are available in early access. To learn more about these new capabilities, click here. About LaunchDarkly: LaunchDarkly is a comprehensive feature management platform that equips software teams to proactively reduce the risk of shipping bad software and AI applications while accelerating their release velocity. By progressively rolling out features, monitoring critical metrics in real-time, instantly rolling back flawed code, easily conducting targeted experiments, and quickly iterating on AI prompts and models, development teams can ship innovation consistently and confidently. Serving over 5,500 of the most innovative enterprises, including a quarter of the Fortune 500, LaunchDarkly is trusted around the globe to deliver exceptional customer experiences and maximize business outcomes. Media Contact:Spencer AnopolHead of PRsanopol@

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