Teams at Microstrategy

Owns the end-to-end product lifecycle for B2B data, analytics, cloud, and AI products, including customer discovery, product strategy, roadmap prioritization, agile execution, launch, adoption, and continuous improvement. Partners with engineering, architecture, design, quality engineering, cloud operations, sales, customer success, marketing, and customers to deliver scalable products and measurable business outcomes.

Senior Quality Engineer responsible for automating tests for cloud APIs, data pipelines, AI/ML model-serving endpoints, and backend services. The role includes validating data flows and model outputs, conducting integration, regression, and performance testing, and collaborating with global development, data engineering, and QA teams. Candidates need 8+ years of test automation and QA experience, hands-on AI/ML testing expertise, REST API knowledge, and familiarity with CI and containerized environments.

Leads a QA team responsible for quality engineering of data-centric, AI-driven, and scalable cloud systems. Defines automation and BI data validation strategies, oversees backend testing, and partners with product and data engineering teams on coverage, traceability, and reporting accuracy. Drives CI/CD quality metrics, regression automation, and performance testing while managing QA delivery and test environments.