Data Engineering at Superhuman: from writing assistant to agent platform

​Join us on February 17 as Superhuman’s Data Engineering team shares examples of how we scaled from a writing assistant to an agent platform, unified analytics and ML data, and migrated core systems without slowing product delivery.

🚀 Enabling Rapid Experimentation: Unifying Analytics and ML Data in Databricks by Niels van Kaam

​Enabling teams to rapidly experiment with new AI models requires breaking down silos between analytical data and ML training datasets. At Superhuman, we consolidated both into Databricks as we scaled from a writing assistant to an agent platform. In this talk, we will:

​• Share our journey from our fragmented data systems to a unified platform in Databricks
• Walk through design choices on how we organize Workspaces, Unity Catalog, and data ingestion
• Explain how we apply and manage our privacy policies, governance, and access control

🚀 Rebuilding the Engine: Migrating Data Systems While Keeping Products Moving by Dave Heberer

​During this talk, we'll explore how to migrate core data systems while maintaining product velocity during periods of organizational and architectural change.

​We’ll cover:

• ​The migration philosophy behind translate vs. transplant and when each approach makes sense

• ​Key data validation challenges encountered during system migrations

• ​How to scope migration efforts realistically under time and delivery pressure

• ​Architectural trade-offs and lessons learned from high-impact decisions
  
  Agenda:
  ✨ 18:30–19:00: Registration and networking
  ✨ 19:00–20:00: Talk
  ✨ 20:00–21:00: Mingle with our team
  
  💥 Who should attend?
  (Data) Engineers making design decisions amid organizational change and rapid product development.

​About Speakers:
🔈 Niels van Kaam is a tech lead for the ML Data team at Superhuman, where he’s building the data foundation for the company’s transition from a writing assistant to an agent platform. Previously, he worked on large-scale data systems for ad-tech at Amadeus Berlin and on geospatial applications for startups in the Netherlands.

​🔈 Dave Heberer is a software engineer at Superhuman with nearly 25 years of experience building data infrastructure across major tech companies. His background includes work at Microsoft, Tableau, and Facebook, spanning operating systems, computer vision, gaming platforms, and large-scale data and analytics systems.