Shubham Anandani is Product Engineering Lead, Identity Experiences at LinkedIn, leading product strategy and engineering teams for a suite of identity and professional signal features serving 1B+ members globally. With 9+ years building AI-powered identity and signal systems at scale, he has become a recognized thought leader in trustworthy AI and product-led growth.
His expertise spans the full lifecycle of AI-powered professional signals—from verified credentials and skill certifications to intent indicators like #Open- ToWork and #Hiring. He specializes in how authentic, trustworthy signals drive user activation, higher conversion, and sustainable engagement at enterprise scale—a core pillar of product-led growth strategy.
Shubham leads cross-functional teams across product, data science, and engineering to architect systems that prevent failure modes in identity verification and signal generation. His recent work includes leading the Skill Certification pipeline implementation and architecting product experiences that leverage AI to enhance signal relevance and trustworthiness. His approach combines rigorous experimentation, evaluation frameworks, and a deep commitment to building systems that empower users rather than mislead them.
He holds a Master’s degree in Software Engineering from Carnegie Mellon University, where he focused on AI and scalable systems. He serves as IEEE Seattle Chapter Secretary and is a frequent speaker on responsible AI in professional networks.