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Dan ShaperoComplete201 Oct, 10:3429 Apr 2026
Ryan RoslanskyComplete121 Oct, 10:3316 Jun 2026
Erran BergerComplete181 Oct, 10:3423 Jun 2026
Anthony ChavezComplete11 Oct, 10:3230 May 2026
Matt DerellaComplete151 Oct, 10:3016 Jun 2026
Teuila HansonComplete11 Oct, 10:333 Apr 2026
Raghu HiremagalurComplete11 Oct, 10:331 Apr 2016
Jessica JensenComplete221 Oct, 10:3416 Jun 2026
Blake LawitComplete71 Oct, 10:3317 Jun 2026
Nicole LeverichComplete161 Oct, 10:3518 Jun 2026
Jordan LevyComplete11 Oct, 10:3423 Apr 2025
Mark LoboscoComplete91 Oct, 10:352 Jun 2026
Archana SekharComplete21 Oct, 10:3323 Apr 2025
Hari SrinivasanComplete141 Oct, 10:331 Jun 2026
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Craft still matters in this AI era. At LinkedIn, it’s our agility and craft that’s positioned us to drive innovation on our platform, tame cost and resource challenges, and deliver at unprecedented scale for our members and customers. Our Engineering teams… moreCraft still matters in this AI era. At LinkedIn, it’s our agility and craft that’s positioned us to drive innovation on our platform, tame cost and resource challenges, and deliver at unprecedented scale for our members and customers. Our Engineering teams have leaned into our full-stack technology approach, making improvements at every layer that have set us on a positive path of compute efficiency, faster product iteration, and the integration of even more complex AI and agent capabilities. Erran Berger and I sat down with Paresh Dave at Wired for a great conversation about navigating the compute and efficiency demands in this AI era, including what we’ve been able to accomplish with engineering innovation to maintain our compute needs but accelerate new and improved product experiences across LinkedIn. The more disciplined and thoughtful we are with our craft, the more we can do for everyone who relies on LinkedIn to discover and grow their economic opportunities. https://lnkd.in/g58WpFSH
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