Executive Vice President at Microsoft
San Francisco Bay Area
970K followers
500+ connections
About
Ryan Roslansky is responsible for LinkedIn, Microsoft Office, Teams and Outlook and a member of Satya Nadella’s senior leadership team at Microsoft. Through these products, Ryan aims to help LinkedIn, Microsoft, and the global labor market as AI transforms how people work and grow in their careers.
Ryan joined LinkedIn in May 2009 and held leadership roles in every part of LinkedIn’s business. As CEO of LinkedIn, Ryan nearly tripled LinkedIn's business to $19.5 billion in annual revenue, while growing the platform to record levels of engagement, with over 1.3 billion members, 70 million companies, 144 thousand schools and 42 thousand skills.
Prior to becoming CEO in June 2020, Ryan held the role of global head of product where he oversaw all teams responsible for building and creating the next generation of LinkedIn products and experiences. He set the company’s product strategy and oversaw product development, user experience, business development, and customer operations.
Ryan is the co-author of the New York Times bestselling book Open to Work, regularly works with creators including Career Ladder, and is the Emmy nominated host of The Path where he interviews notable CEOs and leaders about their career journeys. Ryan also serves on the Board of Trustees for the Paley Center for Media
Courses by Ryan
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Open to Work: Building Key Career Skills in the Age of AI39m
Open to Work: Building Key Career Skills in the Age of AI
By: Aneesh Raman
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Make AI Your Career Advantage with Ryan Roslansky and Aneesh Raman56m
Make AI Your Career Advantage with Ryan Roslansky and Aneesh Raman
By: Aneesh Raman
Articles by Ryan
Activity
970K followers
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Ryan Roslansky shared this"The Productivity and Business Processes segment, which includes Office, Dynamics and LinkedIn, produced $37.85 billion in revenue, up 14.3% and above the $37.19 billion consensus. The company pointed to over 30 million paid seats for the Microsoft 365 Copilot work assistant. There were over 20 million as of July." Kudos to the teams across Microsoft and LinkedIn. From helping people build careers on LinkedIn to helping them get work done with Microsoft 365 and Copilot, we're fortunate to serve professionals at every stage of their journey. https://lnkd.in/e_7NgExKMicrosoft jumps 8% as it boosts capital spending plans, citing demandMicrosoft jumps 8% as it boosts capital spending plans, citing demand
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Ryan Roslansky shared thisGreat results by training agentic models from inside the product stack... We took MAI-Code-1-Flash, put it through an Excel RL environment, and trained it on what our customers actually do. It now matches GPT-5.6 on those tasks, and we are just getting started... https://lnkd.in/gKK3hw_MRyan Roslansky shared thisIn a world where software has real marginal cost for the first time, how do we ensure frontier benefits are diffused across the entire ecosystem? The key is to optimize the cost-to-outcome frontier in real world context. In practical terms, that means using the right model for each task, and optimizing the context, skills, tools, and agent harness around it. This is the motivation behind our MAI model family. These models have been built ground up with clean data lineage and optimized for learning transfer from generalist to specialized skills in enterprise RLEs. We continue to make rapid progress in this pursuit. We can now take saturated frontier capabilities and deliver them at scale and at lower cost through models optimized for high-usage products, while continuing to use frontier models for frontier needs. We are proving this out across our first party products, and thereby creating a template for every other AI native, SaaS, or Enterprise company out there. In our products, frontier models from OpenAI and Anthropic are part of the orchestration system alongside MAI. But the model is only one part of the hill-climbing system. Harness, memory, context, tools, skills, user interactions, etc. all shape the evals and performance of these agentic systems. The other key criteria to ensure that you are in control, is your evals should continue to hill climb even when any given model has been removed. Therefore we build RLEs where models learn inside the product system and are rewarded for completing the tasks customers actually care about. We train models against the actual product harness, interactions, and outcomes they will encounter. And strategically ensure that the harness, memory, context, skills are externalized outside of the model. Product-specific evals and model independence give us the control and a direct hill to climb, and to keep refining until we reach the right quality-cost target. We are now seeing MAI models outperform general-purpose frontier models in many use cases while using a fraction of the tokens. We believe the biggest opportunity is to optimize all of these layers together in the products where the world works every day. And we are beginning to route traffic across our first-party surfaces to MAI whenever our models match or outperform frontier alternatives. We are seeing promising early results across GitHub Copilot, Excel, and Outlook and are beginning to take the same approach across Copilot Chat, PowerPoint, and more. And all these results will only get better as the entire system keeps hill-climbing! What we are doing across our first party products is also what every enterprise customer can be doing in their real world agentic systems with their proprietary evals, their proprietary RLEs, workflows, and context. We are making all this available as part of Foundry and our toolchain. Read more here: https://lnkd.in/gR7UgHkp
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Ryan Roslansky shared thisThree years. Thirty-five conversations. One question: what's your best career advice? Ryan Serhant said, "say yes". Serena Williams said, "nothing happens overnight". Scott Galloway said, "anyone telling you to follow your passion is already rich". Andy Jassy said, "attitude is everything". We put it all in one video. Watch it, then subscribe to #ThePath for what's next. https://lnkd.in/gEPgma3P
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Ryan Roslansky shared thisThe Path with Ryan Roslansky, our show about career journeys that lives on LinkedIn, just got nominated for Outstanding Daytime Short Form Program at the 53rd Annual Daytime Emmy Awards. I did not expect to be in the same sentence as a Daytime Emmy nomination. I also didn’t expect a lot of things. That’s kind of the point of the show. To the guests who shared their paths, and the team who built this from nothing, apparently the path leads to some unexpected places! https://lnkd.in/gHUZDZC4 Stephen F. Valdivia Duarte, Taisha Henry, Daniel Roth, Dave Pond, Courtney Chapman Coupe, Tatiana De Almeida, Rachel Wang, Kenly Uphaus53rd Annual Daytime Emmy® Awards Nominees - The Emmys53rd Annual Daytime Emmy® Awards Nominees - The Emmys
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Ryan Roslansky reposted thisRyan Roslansky reposted thisSome thoughts on the Reverse Information Paradox. https://lnkd.in/g-QKwksS
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Ryan Roslansky reposted thisRyan Roslansky reposted thisKnowledge work rarely moves in a straight line. Within Microsoft 365, you start something in Word, pull the numbers in Excel, then try to turn it into a story in PowerPoint. The whole time, you're the one making the calls, reading the context, and deciding what actually matters. That’s why the right model in the flow of work matters! Starting today, OpenAI’s GPT 5.6 is beginning to roll out across Word, Excel and PowerPoint which gives customers the world-class reasoning capabilities in the tools where work gets done. Learn more: https://lnkd.in/gCbKpN72
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Ryan Roslansky shared thisWhat if this is the more honest picture of who we all are? - A marching band in Kansas learning Algeria's national anthem by heart, just to make a visiting team feel at home... - Boston writing a thank you letter to Scotland's fans... - Japanese supporters staying behind to clean the stadium, like they always do... https://lnkd.in/gGqSq3KV'I'm happy they came': The World Cup's most viral fan moments (so far)'I'm happy they came': The World Cup's most viral fan moments (so far)
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Ryan Roslansky shared thisThe future of work isn't a thousand people getting really good at being alone...
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Ryan Roslansky shared thisThe worst career move he ever made led him to the CEO job. Here's how Sasan Goodarzi paved his path...Sasan Goodarzi had a 1.9 GPA, then he built one of tech's great careers. Here's how he paved his path.Sasan Goodarzi had a 1.9 GPA, then he built one of tech's great careers. Here's how he paved his path.
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Ryan Roslansky liked thisRyan Roslansky liked thisBig month for Copilot in PowerPoint — branded assets, custom skills, and more just landed. Here's what's new 👇 🎨 Brand Kit: bring your company's logos, icons, themes, and fonts right into PowerPoint, so every deck is on brand from the first slide to the last. ♻️ Reuse any deck's style: attach a presentation you love and Copilot applies its layouts, theme, and visual system to create a polished, consistent deck — no manual reformatting. 🧠 Custom skills: turn repeated instructions into reusable guidance Copilot. Create, upload, and update your own skills right in OneDrive. 💬 Comments with Copilot: let Copilot draft, reply to, and resolve comments right inside your presentation to keep feedback organized. 📱 iPad and iPhone: keep working while Copilot runs in the background on iOS and iPad. You can also plan multi-step actions and ground on your current slide or attached files Update to the latest and try it in PowerPoint today. What’s New in Microsoft 365 Copilot | July 2026 | Microsoft Community Hub #Microsoft365 #Copilot #PowerPoint #AI #Productivity #PresentationDesign
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Ryan Roslansky liked thisRyan Roslansky liked thisWe are thrilled to officially announce the opening of the historic Hotel Danieli, A Four Seasons Hotel. For centuries, the Danieli has stood as an icon of Venetian grandeur, art, and culture. Today, we begin a new chapter by blending this magnificent heritage with the signature Four Seasons "special magic"—our unwavering commitment to unscripted, genuine care. What makes the new Danieli experience truly exceptional? ✨ The Heritage, Reimagined: Breathtaking Venetian architecture and unparalleled views of the Grand Canal, now elevated with modern luxury and meticulous attention to detail. ✨ Genuine Care at the Core: Beyond the stunning backdrop, it is our people who bring the magic to life. Every interaction is infused with the empathetic, highly personalized service that defines Four Seasons. ✨ Crafting Unforgettable Moments: From tailor-made Venetian lagoons excursions to culinary excellence that honors local traditions, we are here to ensure every stay is deeply memorable. We look forward to welcoming guests, old and new, to experience the timeless romance of Venice through the warm and welcoming lens of Four Seasons. 🇮🇹 Join us in celebrating this incredible milestone! Congrats to the fabulous Christian Z. Francesco Maria Corazzi Sara Zanettin and their legendary teams for this incredible milestone Four Seasons #FourSeasons #HotelDanieli #VeniceLuxury #HospitalityExcellence #GenuineCare #NewOpening #LuxuryTravel
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Ryan Roslansky liked thisRyan Roslansky liked thisShout out to my new BFF Microsoft Copilot Cowork 👭 Me: “Can you find that file I opened once a few years ago? I don't remember the name, owner, date, or where it's stored.” Copilot: “Sure, here it is.”
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Ryan Roslansky liked thisRyan Roslansky liked thisTechnology infrastructure is often the wizardry behind the scene, making amazing experiences possible for businesses and consumers. But it deserves the spotlight as well. This article in WIRED tells the story of how LinkedIn has continued to expand its offerings without commensurate increases in compute utilization, through a focus on efficiency, agility, and craftsmanship. It’s a good model (no pun intended) for other businesses as AI-related costs continue to rise elsewhere. https://lnkd.in/dq-9h4Ym
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Ryan Roslansky liked thisRyan Roslansky liked thisAs part of Microsoft's earnings today, we shared another solid quarter for LinkedIn and closed out a strong fiscal year. We saw broad-based momentum across the business, including double-digit member growth, 16% growth in Marketing Solutions, continued growth in Premium, and accelerating adoption of our AI-powered hiring solutions. At the same time, we're seeing our investments in AI improve both customer outcomes and operational efficiency. Coming out of our Company Kickoff last week, I'm energized by the focus and ambition across our teams. Thank you to everyone who helped make FY26 a success and looking forward to what's ahead in FY27.
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Ryan Roslansky liked thisRyan Roslansky liked thisSingapore was a powerful start to the SK World Tour. As we kick off FY27, there’s a real sense of momentum and optimism across the business. SK gives us a chance to reflect what we have achieved and a renewed energy for the new FY. For some of us, it marks the beginning of a new chapter, a renewed energy to refocus on our goals. I’m fortunate to have started on my new role 6 months ago as Global Leader for Sales Solutions, after many rewarding years leading LTS APAC, we still celebrate as OneTeam. What gives me confidence isn’t the org chart—it’s the energy of the people. The passion, ambition and commitment I saw in Singapore made one thing clear: we’re ready for what’s next. FY27 presents a tremendous opportunity for all of us. The vision is bold, the goals are ambitious, and the team is leaning in. Old teams. New teams. New roles. One team. One ambition. Dublin, we are here. 🚀
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Ryan Roslansky liked thisRyan Roslansky liked thisThroughout this past fiscal year, customers across every industry and segment moved from AI experimentation to deploying AI for real-world business outcomes. We saw the emergence of Frontier Firms as organizations moved beyond efficiency gains to focus on human ambition and embed AI at the core of how they operate, unlocking innovation and creating new opportunities for growth. Successful customers are building an intelligence platform so their unique IQ — their knowledge, data, workflows, applications, and expertise — can continuously compound, ensuring the value of AI accrues to the customer, not the model. They also have a trust platform that is pervasive, with the ability to manage, govern, secure, and measure AI across every business process. Everything we are doing at Microsoft is focused on empowering Frontier Transformation. Copilot enables AI in the flow of human ambition, Microsoft IQ amplifies and protects an organization’s IQ, and Agent 365 is the trust platform that enables observability at every layer of the stack. Businesses are not static, and neither are the AI systems that support them. As organizations evolve, AI systems must continuously learn and improve. Agentic workflows need to be built, observed, and tuned against the outcomes organizations seek and the ROI they demand. Microsoft’s open, model-diverse, and heterogenous platform powers that improvement loop. Looking back on FY26, I am inspired by what our customers are achieving: embedding AI into core business processes, building agentic systems, strengthening security, accelerating innovation, and creating new sources of value. I invite you to read my latest earnings blog to learn how they are bringing Frontier Transformation to life, demonstrating how intelligence, trust, and human ambition come together across industries. aka.ms/FY26Q4Blog
Experience
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LinkedIn
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Co-Founder / CEO
Housing Media
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Skills
Patents
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Techniques for Ascribing Social Attributes to Content
Issued US 9229900
Other inventors -
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Method and system to determine a member profile associated with a reference in a publication
Issued USPTO 08849813
See patentMethod and system are provided to determine a member profile associated with a reference to a person in a publication and may be used beneficially to identify members of a social network in news articles. The system may be configured to detect a publication that was shared by a member of an on-line social networking system, determine that the publication includes a name entity, and identify a member profile in the on-line social networking system that represents a member referenced by the name…
Method and system are provided to determine a member profile associated with a reference to a person in a publication and may be used beneficially to identify members of a social network in news articles. The system may be configured to detect a publication that was shared by a member of an on-line social networking system, determine that the publication includes a name entity, and identify a member profile in the on-line social networking system that represents a member referenced by the name entity. The process of identifying a member profile in the on-line social networking system that represents a member referenced by the name entity may include building a list of candidate profiles from the member profiles of the on-line social networking system and selecting a matching profile from the candidate profiles, utilizing one or more disambiguation techniques.
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System and method of placing a search listing in at least one search result list
Issued US 20050004835
A system and method is provided for qualifying search listings for placement in at least one search result list and ordering the search listings according to an algorithm. Specifically, a searching device is adapted to received items of information, such as search listings (e.g., www.yahoo.com, etc.), search terms (e.g., "cars," "beauty supplies," etc.) and monetary amounts (e.g., $1.00, etc.), from a plurality of promoting devices, receive a search inquiry (i.e., a search term) from a…
A system and method is provided for qualifying search listings for placement in at least one search result list and ordering the search listings according to an algorithm. Specifically, a searching device is adapted to received items of information, such as search listings (e.g., www.yahoo.com, etc.), search terms (e.g., "cars," "beauty supplies," etc.) and monetary amounts (e.g., $1.00, etc.), from a plurality of promoting devices, receive a search inquiry (i.e., a search term) from a reception device, and provide (in response thereto) at least one search result list including search listings (i) associated with the search inquiry and (ii) qualified for placement in the search result list. In other words, if the search term linked to the search listing is the same as (or substantially similar to) the search inquiry, then the first prong is met. Furthermore, if a predetermined number of monetary amounts (i.e., as linked to a predetermined number of search listings associated with the search inquiry) are not higher than the monetary amount linked to the search listing, then the second prong is met and the search listing is qualified for placement. Thus, only a predetermined number of search listings (e.g., three, five, etc.) that are both (i) associated with the search inquiry and (ii) linked to the highest monetary amounts are qualified for placement in the search result list. Once the search listings are qualified for placement in the search result list, the searching device is adapted to arrange the qualified search listings according to an algorithm (e.g., randomly, according to relevance, according to monetary amounts, etc.).
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