Summary
Austen Talbot is a pragmatic software engineer and coach with 12 years of experience building reliable, large-scale products across consumer and enterprise domains. Currently a Member of Technical Staff at OpenAI, he previously led cross-functional initiatives at Snap and Netflix, shipping features used by hundreds of thousands and improving release and testing practices across organizations. He co-founded AI-native products and led end-to-end design and engineering for real-time voice agents and LLM-driven systems, then translated that experience into a coaching practice that has mentored 30+ engineers. Austen combines product intuition with deep operational experience—revamping release processes, instituting integration testing programs, and architecting high-throughput services. His background in economics and data analysis informs a metrics-driven approach to product decisions and team productivity. Based in San Francisco, he blends startup grit with enterprise-scale delivery and a knack for turning complex systems into usable tools.
12 years of coding experience
15 years of employment as a software developer
Software Engineering, Software Engineering at Hack Reactor
Bachelor of Science, Economics, Bachelor of Science, Economics at Penn State University
University College Dublin
German, French, Japanese