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We are building the next foundational layer of the analytics stack: an Enterprise Context Platform that captures, stores, and exposes organizational decision memory. As a seasoned engineer on Context Platform Systems, you will architect and build the durable memory substrate that powers agentic analytics workflows. This platform stores not just metadata, but meaning: decisions, intent, rationale, and history — and makes it safely accessible to humans, agents, and applications. This is a greenfield, high-leverage role with company-level impact.
Job Responsibility:
Prototype apt technical solutions and find best fits for the context engine
Architect and build the core Context Platform
Design schemas and primitives for Decision Memory and enterprise context
Own context storage systems (graph, vector, event/time-based)
Build read/write/query APIs used by agents, products, and external apps
Design permission-aware, auditable context access
Ensure the context engine is interoperable, portable, and zero-lock-in by design
Partner closely with agentic systems engineers and product leadership
Requirements:
Significant experience building distributed systems, data platforms, or infrastructure
Comfort operating in ambiguous, greenfield problem spaces
Deep expertise in data modeling and schema design
Experience designing shared platforms used by many teams
Strong instincts around APIs, contracts, and backward compatibility
Ability to reason about systems, not just components
Nice to have:
Experience with knowledge graphs, metadata systems, or search/retrieval systems
Experience building systems with governance, auditability, or compliance requirements
Familiarity with dbt or modern analytics stacks or developer tooling