Summary
Spencer Barton is an engineering manager with 12 years of experience building production ML and data platforms, currently leading Agent & ML Platform at Klaviyo in Boston. He has repeatedly scaled teams and infrastructure—building two 11-engineer teams at Klaviyo that shipped core LLM platform capabilities and a 6× increase in deployed models while halving time-to-market. Spencer’s hands-on background spans on-device algorithms at Nest/Google to end-to-end MLOps (Ray, Prefect, MLflow, KServe) and data engineering (Spark, DeltaLake, Iceberg), enabling fast, reliable launches like K:AI. He’s skilled at reducing model development cycles (weeks to hours/days) and solving feature-consistency and observability challenges that unblock product iteration. Known for translating research-grade ML into robust production systems, he combines deep electrical/computer engineering training from Carnegie Mellon with practical leadership across startups and scale-ups.
12 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Electrical and Computer Engineering, Master of Science (MS), Electrical and Computer Engineering at Carnegie Mellon University