Founding Platform Engineer

Build the Semantic Layer Design and own the semantic layer that powers our system-of-record flywheel. This layer is the foundation for how data, state, and meaning flow through the company, enabling compounding AI products across teams.

Create Internal Platforms with Leverage Build primitives, abstractions, and APIs that product teams use as building blocks. Your success is measured by how easily other engineers can ship powerful AI-driven features on top of your work.

Treat Product Teams as Customers Partner closely with internal product and engineering teams to understand their needs, eliminate friction, and design systems that are intuitive, well-documented, and hard to misuse.

Architect for Multiple Data & Request Topologies Design systems that span data warehouses, OLTP databases, streaming systems, and vector stores. Make intentional tradeoffs based on latency, throughput, consistency, and access patterns.

Set Platform Direction Work with leadership to define the long-term platform architecture, including build-vs-buy decisions, evolution of the semantic layer, and how the system scales as product surface area grows.

Platform & Systems Experience 5+ years building and operating distributed systems, ideally with experience owning a platform or core abstraction used by multiple teams.

Strong Data Systems Background Deep understanding of data warehouses, transactional databases, and other storage systems, including how to model data for different access patterns and workloads.

Semantic & Abstraction Thinking Ability to design schemas, contracts, and semantic models that remain stable over time while supporting rapid product iteration.

Operational Rigor Experience with observability, migrations, backfills, incident response, and running high-uptime systems that are hard to unwind once in production.

Ownership Mentality You take responsibility for long-term outcomes, not just shipping code. You think in terms of flywheels, leverage, and second-order effects.