Recorded on
with Aishwarya Srinivasan, Arvind Narayanamurthy
AI is moving faster than traditional product and GTM playbooks can keep up with. As open models reshape economics and model capabilities commoditize, startups must rethink where durable differentiation comes from. This conversation explores how product, marketing, developer relations, distribution, and brand work together to build enduring AI companies.
Learn how AI companies can build lasting brands when products, models, and markets evolve every few weeks.
Explore where differentiation will live as models commoditize, from infrastructure and DX to distribution.
Explore how startups and enterprises are choosing between open and closed models, from cost and control to performance.
Understand where durable moats come from as models commoditize and technical advantages become easier to replicate.
Learn how product, marketing, and developer relations work together to turn great AI technology into real adoption.
AI is moving faster than traditional product and GTM playbooks can keep up with. As open models reshape economics and model capabilities commoditize, startups must rethink where durable differentiation comes from. This conversation explores how product, marketing, developer relations, distribution, and brand work together to build enduring AI companies.
Senior Vice President - Marketing @ Nebius · Nebius
Alan Hsia is SVP of Marketing at Nebius, where he leads marketing for Token Factory and new products. He previously served as VP of Marketing at Fireworks AI and has built and scaled marketing for developer-focused technology companies including Cortex. His work sits at the intersection of AI infrastructure, developer adoption, product positioning, and go-to-market strategy.
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.
