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TigerGraph
A QA Engineer Lead at TigerGraph is a senior technical leader responsible for overseeing the quality, performance, and reliability of the graph database engine. The role focuses on shaping testing strategy, tooling, and automation to support scalable distributed systems while collaborating with engineering and product teams. It emphasizes mentorship, process improvement, and driving initiatives that raise product quality across the organization.
Headquarters
Redwood City, California, United States
Company Size
201-500 employees
Founded
2012
TigerGraph is a graph database platform that serves as the relationship intelligence and control layer for enterprise AI, enabling real-time, explainable, and governed AI decisions across fraud detection, AML/KYC, entity resolution, customer intelligence, and more. Its native massively parallel graph engine supports deterministic multi-hop reasoning across billions of relationships in milliseconds, powering use cases like GraphRAG, agentic AI, and hybrid graph-vector search. TigerGraph is available as TigerGraph DB or the managed TigerGraph Savanna cloud platform, and is trusted by global enterprises operating in regulated environments.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for TigerGraph.
TigerGraph didn’t post a salary, so this is our estimate from similar listings.