Location: Remote (SF HQed)
Role Overview
MotionERP is on a mission to transform mid-market enterprises with AI employees. We do this by using our AI agent ERP platform to convert legacy software into AI agents that act like employees. Motion’s AI agents are helping sales and marketing teams replicate and scale their top performers, and collecting performance fees that tie directly to the high margin revenue impact that we generate.
Our AI employees rely on the Motion Graph to understand the world. Your job will be to scale our proprietary ontology.
What You’ll Do
- Design and evolve Motion’s knowledge and workflow graph, defining how entities (customers, agents, data, automations) interconnect to drive reuse, insight, and autonomy.
- Architect scalable, modular infrastructure for reuse in customer deployments.
- Design integrations and automations that bridge customer systems with Motion’s platform.
- Help define best practices around reusable agent frameworks, data models, toolsets, and playbooks.
- Collaborate with Forward-Deployed CTOs to identify reusable patterns and consolidate them into platform components.
- Mentor and enable engineers and AI agents across both customer and platform domains to drive technical excellence.
About You
- Working experience with knowledge graph and graph database technologies, such as: Neo4j, AWS Neptune, and SPARQL
- Hands-on experience writing and optimizing graph queries using languages such as Cypher, Gremlin
- Proven experience with graph data modeling and knowledge representation — understanding of nodes, edges, relationships, and reasoning mechanisms.
- Experience designing graph-driven retrieval pipelines used in AI Agents