Shruti Gupta is a dynamic product and technology leader at NetApp, where she shapes the vision and strategy for cloud and enterprise software products used by global customers. She leads cross-functional teams to turn customer insights into scalable, high-performing solutions that improve reliability, efficiency, and business outcomes in complex environments.
Over her career, Shruti has driven multiple high-impact product initiatives from idea to launch, aligning executives, engineers, designers, and go-to-market teams around clear priorities and measurable results. She is passionate about building products that solve real customer problems while balancing innovation, technical depth, and long-term roadmap thinking.
Outside of NetApp, Shruti draws on experience in engineering, product development and career development coaching. She mentors product and technology professionals on interview preparation, negotiation strategies, and pricing expertise. Recognized for her excellence and execution mindset, Shruti consistently transforms challenges into opportunities for innovation and measurable value
Upcoming Talks
11 May 2026
Traditional prototyping creates organizational friction—siloed teams, competing interpretations, and validation cycles that stall innovation momentum. This hands-on workshop with Shruti Gupta demonstrates how AI-assisted prototyping transforms your innovation velocity, reducing design validation cycles by 40% while strengthening cross-functional alignment. You'll discover where AI creates exponential time advantages, which strategic decisions still require human oversight, and how to architect a repeatable workflow that scales across your organization. Then you'll build a working prototype using rapid iteration techniques, intelligent guardrails, and cost governance frameworks designed for enterprise innovation teams.
Outcome:
- Reduce design validation cycles by up to 40% using AI assisted prototyping techniques that work in enterprise environments
- Build stronger cross functional alignment by removing ambiguity, competing interpretations and siloed feedback loops
- Identify where AI delivers the biggest time advantages, and where human oversight still matters most
- Apply a repeatable workflow with guardrails and cost governance that scales across teams and programs