Summary
Justin Talbot is a Principal Software Engineer in Seattle with 16 years of experience designing high-performance analytics and visual-analysis systems. He combines deep research credentials (Stanford Ph.D., multiple InfoVis publications and patents) with hands-on leadership roles at Tableau and Databricks, where he has driven query engine redesigns and cross-cutting architectural initiatives. Justin excels at turning R&D prototypes into production-grade features—leading teams to replace ad hoc query generators with general-purpose query languages and optimizers that enabled new analytics capabilities. He has repeatedly bridged product, research, and executive audiences, advising CTOs and presenting roadmaps to boards while also shipping core engineering work. An early founder who nearly spun out his Ph.D. work into a startup, he brings both entrepreneurial instincts and rigorous academic grounding to complex visualization and data systems problems. Outside of product leadership, his background includes VM/JIT research and contributions to high-performance R and MapReduce implementations, reflecting a long-standing focus on performance at scale.
16 years of coding experience
21 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Brigham Young University
Ph.D. Computer Science, Ph.D. Computer Science at Stanford University