Google Cloud’s Iliana Quinonez Shares AI Startup Scaling Tips
Scaling an AI startup requires more than just technical expertise, it demands strategic decision-making under tight constraints. At TechCrunch Sessions: AI on June 5, industry leaders will unpack the critical choices that separate thriving companies from those that plateau. Among them is Iliana Quinonez, Google Cloud’s Director of North America Startups Customer Engineering, whose hands-on experience helping startups scale from pre-seed to IPO makes her insights invaluable.
Early-stage AI ventures face complex challenges: designing scalable architectures, optimizing data pipelines for reasoning agents, and balancing API dependencies with proprietary innovation. Quinonez brings two decades of enterprise and startup experience—from Salesforce to SAP—to help founders navigate these hurdles efficiently. Her team collaborates closely with accelerators, investors, and developers, offering a real-world perspective on what drives AI success.
At the event, Quinonez will lead a no-nonsense discussion on AI agent development, covering infrastructure trade-offs, model orchestration, and maintaining security without sacrificing speed. Her session is tailored for founders who need actionable advice, not theoretical fluff.
(Source: TechCrunch)
