Tomer Cohen, Chief Product Officer at LinkedIn, discusses the platform's exciting evolution into an AI-first space. He shares insights on transforming LinkedIn's feed into a dynamic content hub and his impactful mantra, "We might be wrong, but we're not confused." Tomer emphasizes the importance of conviction in product leadership and the value of clarity in team dynamics. He also explores strategies for embracing AI in product development, the significance of personal strengths, and how passion drives impactful innovation. Tune in for a fascinating behind-the-scenes look at LinkedIn!

Join Gustav Söderström from Spotify, Scott Belsky from Adobe, and Tomer Cohen from LinkedIn as they explore how AI is reshaping product design and development. They discuss why AI has become the central product, the evolving role of user interfaces, and the shift in workforce dynamics required in an AI-first world. The trio debates the balance between model diversity and data quality, while also touching on the ethical considerations of AI usage. Emphasizing the opportunities AI presents, they highlight the necessity for continuous learning in adapting to this new landscape.

Tomer Cohen is the chief product officer at LinkedIn, and actually, I talked to Tomer twice. Here’s a little secret about Decoder: we do the interviews, and then often, the guest and I just keep chatting for a while. So after my first interview with Tomer, we were hanging out, talking about the perpetual battles between engineers, product managers, and designers. And he said something that completely jumped out at me:“We might be wrong, but we’re not fucking confused.” This isn’t a totally new line — it’s been floating around for a while, you can Google it — but you know I love an f-bomb, and honestly, it’s one of the most simple and clarifying things a manager can say, especially when managing across large teams. So I asked Tomer to come back and really dig in on that idea.On top of that, we’ve been talking a lot about running social networks lately, and LinkedIn is a fascinating social network because it doesn’t have the same engagement-based success metrics as other social platforms like Twitter and Instagram. Tomer doesn’t care about time spent on LinkedIn; the platform is designed to be successful when people get new jobs. That means his ideas for features and user experiences are just really different.Links:Employment Situation Summary (Jobs Report)December Workforce Report 2022 (LinkedIn)Vision to values flowchartChatGPT proves AI is finally mainstream — and things are only going to get weirderLinkedIn buys California-based SaaS learning platformHow big companies kill ideas — and how to fight back, with Tony FadellRAPID decision makingTranscript:https://www.theverge.com/e/23281360 Credits:Decoder is a production of The Verge and part of the Vox Media Podcast Network.It was produced by Creighton DeSimone and Jackie McDermott and it was edited by Callie Wright. The Decoder music is by Breakmaster Cylinder. Our Editorial Director is Brooke Minters and our Executive Director is Eleanor Donovan. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Tomer Cohen, Chief Product Officer at LinkedIn, shares his journey from the Israeli military to tech leadership. He discusses the fine line between art and science in product management and the lessons learned from the successes and failures of LinkedIn products, including the discontinuation of 'Stories.' Tomer emphasizes how AI is reshaping product roles, urging leaders to adapt quickly. He also tackles the challenge of spam on LinkedIn and the need for continuous innovation in a rapidly changing tech landscape.

Tomer Cohen is LinkedIn's Chief Product Officer and an expert in AI product development. He shares insights on LinkedIn's explosive growth from 100M to over 1B users, emphasizing the importance of transforming social feeds for knowledge-sharing. Tomer discusses essential principles for building AI products, the balance of humor and professionalism on LinkedIn, and the evolving role of content formats like newsletters and videos. He also provides tips for aspiring product managers on navigating the complexities of AI and landing their dream jobs.