Lead Quality Assurance Engineer
TigerGraph
About this role
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.
Skills
Qualifications
About TigerGraph
tigergraph.comTigerGraph is an AI-powered graph database platform designed for real-time analytics and connected-data applications. It helps organizations uncover hidden relationships and run low-latency, large-scale graph analytics for use cases like fraud detection, customer 360, recommendations, knowledge graphs, and ML feature engineering. The platform combines a native parallel, distributed graph engine with GSQL and developer tools, available as enterprise software or managed TigerGraph Cloud with connectors to common data stacks. Companies choose TigerGraph for its performance, scalability, and ability to power production-grade graph analytics and AI workloads.
About TigerGraph
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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and employee contacts for TigerGraph.
Salary
$137k – $179k
per year