Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 3, 2026.
Requirements
Key
Responsibilities Graph Database & Technical Expertise Graph & Data Engineering: Demonstrate a strong understanding of graph database concepts, architecture, data modeling, graph traversal, and graph analytics using technologies like Neo4j, TigerGraph, or AWS Neptune. Query & Performance Optimization: Utilize query languages (e.g., GSQL, Cypher, Gremlin) while demonstrating a strong grasp of database performance, query optimization, data integration, and distributed systems. TigerGraph Mastery: Develop hands-on expertise in TigerGraph products, architecture, capabilities, and ecosystems. Analyze new product releases and updates to translate them into practical learning modules. Troubleshooting & Root Cause Analysis: Independently investigate, troubleshoot, and identify root causes for technical issues, performance bottlenecks, query failures, and configuration challenges in graph implementations. Product & Engineering Collaboration: Partner closely with Product and Engineering teams to understand technical defects, enhancements, and product behaviors. Documentation & Knowledge Base: Create technical FAQs, troubleshooting guides, knowledge repositories, and best-practice documentation. Technical Training & Enablement Program Design & Delivery: Design, develop, and deliver structured technical training programs, workshops, product demonstrations, and hands-on technical bootcamps on TigerGraph products and graph technologies. Multi-Stakeholder Enablement: Tailor enablement programs for diverse internal and external groups: Sales & Presales: Product capabilities, business value, competitive positioning, use cases, and solution demos. Product Teams: Product architecture, new features, functionality, enhancements, and technical dependencies. Developers & Engineering: Graph modeling, query development, implementation, debugging, integrations, and best practices. Clients & External Stakeholders: Product onboarding, solution understanding, technical adoption, and implementation guidance. Content & Assessment Creation: Develop engaging training presentations, technical documentation, practical assignments, hands-on lab environments, assessments, and product demo materials. Gap Analysis: Continuously evaluate training effectiveness and identify capability gaps across teams to refine enablement strategies.

