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Full-time Data/ETL Engineer on the founding team in the San Francisco Bay Area, backed by 8VC. Builds ingestion pipelines, connectors for ERP, PLM, CRM, and email sources, and a knowledge graph (Neo4j or Puppygraph) for a multi-tenant data fabric. Also normalizes and vectorizes data for RAG and exposes secure APIs.
Data/ETL Engineer (Founding Team)
Location: San Francisco Bay Area
Type: Full-Time
Compensation: Competitive salary + early-stage equity
Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.
We’re building a multi-tenant, AI-native platform where enterprise data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric — an intelligent, governed layer that turns fragmented and siloed data into a connected ontology ready for model training, vector search, and insight-to-action workflows.
We're looking for engineers who enjoy hard data problems at scale: messy unstructured data, schema drift, multi-source joins, security models, and AI-ready semantic enrichment. You’ll build the backend systems, data pipelines, connector frameworks, and graph-based knowledge models that fuel agentic applications.
If you've worked on streaming unstructured pipelines, built connectors into ugly legacy systems, or mapped knowledge graphs that scale — this role will feel like home.
Core Experience:
Mindset & Culture Fit:
Bonus Skills
Agents are only as smart as the data they operate on. This role builds the foundation — the semantic, governed, connected substrate — that makes autonomous decision-making and agent action possible. From factory ERP records to geopolitical news alerts, the data fabric unifies it all.
If you're excited to tame complexity, unify chaos, and power intelligent systems with trusted data — we’d love to hear from you.
