About Port Port is the Agentic SDLC Platform. The way engineering teams build software is constantly evolving, and every new wave - such as AI agents operating across the SDLC- makes engineering more powerful, but also more complex and chaotic. Port turns that chaos into control: one platform to build, govern, and operate the software development lifecycle, enabling every team to move as fast as technology allows. Following our $100M Series C funding round, we are entering an exciting stage of significant growth and global expansion. As a product-led company, we believe the recipe for success is a world-class product that speaks for itself. About the role We're building the intelligence layer that lets everyone at Port ask hard questions of our data and get trustworthy answers — in plain language, in seconds. As AI Data Engineer, you own the semantic and AI-native surface of our Snowflake platform: the governed semantic layer that defines "what a metric means," the Cortex Agents that let business users query it conversationally, and the infrastructure that keeps all of it fast, reliable, and ready to scale. This is a builder-owner role. You'll ship the semantic models, wire up the agents, and set the standard for how analysts across the company work with data. You'll also lead the Data Analyst guild — the connective tissue that keeps our hub-and-spoke analytics model coherent as it grows. If you're excited by the space where data engineering, LLM tooling, and analytics governance meet, this role sits right in the middle of it. What you’ll Own: Snowflake semantic layer — Own the semantic layer end-to-end as the single source of truth for metrics; design semantic models, enforce naming standards, and ensure consistent metric definitions across dashboards and AI agents. Cortex Agents — Design and deploy conversational AI agents using Cortex Analyst and Cortex Search; tune for accuracy and safety, expose through multiple surfaces (Snowflake Intelligence, St
