Staff QA Manager

Growth Acceleration Partners•Austin, TX

About The Position

Growth Acceleration Partners is seeking a Staff QA Manager to lead quality assurance strategy across enterprise engagements involving new system development, legacy modernization, and AI application delivery. The role is responsible for end-to-end testing and data quality across technology stacks that include React, C# .NET 10, and Databricks. With a high degree of autonomy, the manager will define testing frameworks, oversee execution, and integrate quality practices into a governed workflow managed in GitHub, with pull requests linked directly to issues. The position requires leadership of QA teams and enterprise test strategies, along with experience establishing data quality standards for large-scale data engineering pipelines and evaluating AI solutions in production. The Staff QA Manager will work with product managers, business stakeholders, and development teams, and ensure testing complies with security, data privacy, and AI human-oversight requirements.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
  • At least 8 years of professional Quality Assurance experience, including a proven track record managing QA teams and enterprise-wide test strategies.
  • Experience overseeing end-to-end testing for complex software projects from build through deployment.
  • Demonstrated experience establishing data quality, testing, and monitoring standards for large-scale data engineering pipelines.
  • Experience managing workflows entirely within GitHub, with strict traceability between issues and pull requests.
  • Experience evaluating and monitoring AI solutions in production environments.
  • Strong experience in several of the following: QA leadership and test strategies for decoupled architectures using React with TypeScript, C# .NET 10, and FastAPI; data testing and monitoring for Databricks, Delta Lake, Unity Catalog, and Azure SQL/Cosmos DB; AI evaluation, security, privacy, and production monitoring; and Git-based CI/CD with GitHub Issues and Pull Requests.
  • Advanced English proficiency, written and verbal.
  • Strong communication skills for working directly with business users and established technical teams.
  • Adaptability and ability to define processes for onboarding teams to existing codebases and shared packages.
  • High ownership, autonomy, and strategic decision-making capabilities.

Nice To Haves

  • Familiarity with testing infrastructure provisioned via Azure Bicep and applications using Microsoft Entra ID single sign-on.
  • Knowledge of observability platforms and practices, including OpenTelemetry logs, spans, and metrics within Unity Catalog.
  • Experience testing data visualizations such as Apache ECharts.
  • Functional familiarity with domain-specific data such as Concur invoice/expense data, 73Strings comparator data, or fund accounting analytics.

Responsibilities

  • Define, implement, and lead end-to-end testing strategies for new system development and legacy modernization projects.
  • Ensure data quality, testing, and monitoring standards for Databricks data pipelines built with PySpark and SQL.
  • Establish frameworks to evaluate, monitor, and govern AI applications and agentic workflows in production.
  • Integrate quality assurance practices into Git-based CI/CD workflows and deployment pipelines, including Databricks Asset Bundles.
  • Collaborate with product managers, business stakeholders, and cross-functional development teams to translate business needs into technical quality solutions.
  • Ensure testing protocols comply with security and data privacy governance models, including human oversight for AI solutions.
  • Oversee end-to-end testing of complex software projects to ensure quality from build through deployment.
  • Manage workflows in GitHub and maintain traceability between issues and pull requests.
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