Previously staff engineer on Anthropic's agent team, before that at Scale AI. Spent two years watching agent products ship without proper memory layers and decided to fix it. Marcus drives CoreCast's product vision and SDK architecture.
Previously chief architect on Databricks' streaming team, where she designed systems that handle trillions of events daily. Sarah designed CoreCast's hybrid retrieval engine - combining vector search and time-series indexing for under-50ms recall.
Six years at MongoDB leading developer experience for Atlas. David believes the best infrastructure is invisible - developers should be able to add agent memory in minutes, not weeks. He owns the SDK developer experience at CoreCast.
Former engineering lead at Snowflake, where she ran multi-cluster scaling for the data warehouse engine. Jennifer joined CoreCast to tackle a harder distributed systems problem: low-latency memory retrieval at agent scale across multi-tenant environments.
We're hiring
We're a small team solving hard problems in distributed memory systems, retrieval architecture, and developer experience. We hire for curiosity and depth. Remote-friendly.
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