Founding Engineer - Data
Core
Design and build backend systems that ingest, organize, connect, and retrieve decades of fragmented enterprise knowledge (documents, databases, emails) to create a trusted 'company brain' for AI agents.
Role type
Founding backend engineer (data architecture & pipelines)
Builds
Ingestion pipelines, backend services, data models, retrieval systems, and observability for enterprise knowledge graphs (via careerplan.io/jobs/7ce367ce-bbaf-4944-8fcd-e7eacc451fab-founding-engineer-data-at-mason)
Domain
Real estate development / Construction tech / AI infrastructure
Deliverable
production ML models
Required skills
Python, TypeScript, SQL, PostgreSQL, Snowflake, Databricks, AWS, dbt, LangGraph, RAG pipelines, entity resolution, data modeling, system design
Preferred skills
Document processing, knowledge graphs, LLM context systems, experience with messy heterogeneous data
Technologies
Python, TypeScript, Node.js, SQL, PostgreSQL, Snowflake, Databricks, AWS, dbt, Anthropic, OpenAI, Claude Agent SDK, Vercel AI SDK, LangGraph, MCP, pgvector, Cohere, Inngest, Temporal, Blaxel, Modal, Docker, Kubernetes, Terraform
Responsibilities
Design and build backend systems for ingesting and organizing fragmented enterprise data; Develop data models and entity relationships to connect information across systems; Build parsing, extraction, and reconciliation methods for messy real-world data; Create storage and indexing systems for agent retrieval; Implement evaluation and observability for extraction quality and retrieval accuracy; Architect processing systems capable of scaling to billions of rows
Seniority
Founding, high ownership IC