Senior Engineering Manager - Data Platform

WHO WE ARE Most companies are racing to deploy AI, but very few have the foundation to make it work reliably. Atlan is building that missing layer: the context layer for enterprise AI. We connect the business context behind data so humans and agents can operate with far more accuracy and confidence. With backing from world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures, we've earned the trust of most AI-forward enterprises like General Motors, Nasdaq, Workday and Elastic. Come build the infrastructure that AI runs on. THE OPPORTUNITY Atlan is building the context layer for the AI era, the control plane that makes enterprise data usable, governed, extensible, and AI-ready. We're looking for an Engineering Manager to join one of our core platform teams. This is not a coordination role. We need an engineer-first, hands-on platform leader who has built and owned foundational systems at scale, whether that's distributed platform primitives and ingestion infrastructure, or data quality systems and AI-native product surfaces that sit on top of them. WHAT WILL YOU DO? 🤔 BUILD THE AI-READY CONTEXT FOUNDATION Lead the engineering charter to design and evolve an AI-ready context store across structured, unstructured, vector, and graph systems. This platform powers apps, agents, and enterprise workflows on top of trusted data. OWN CORE PLATFORM PRIMITIVES Drive end-to-end delivery of complex platform capabilities, including: - High-scale ingestion and validation frameworks - Contract-driven routing, storage, and serving layers - Multi-tenant isolation and noisy-neighbor resilience - Search APIs with sub-second P95 response times - Systems operating at 99.99% availability You’ll simplify ambiguous problems, define clear technical direction, and ensure teams ship durable, high-leverage infrastructure. LEAD FROM THE FRONT Engage deeply in architecture and systems design. Guide distributed systems tradeoffs, review RFCs, unblock critica