Director, Quality Engineering & AI-Driven Testing

#WeAreTradeStation

Who We Are :

TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators.

At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture where  AI is how we work .

Are you ready to make yourself at home?

What We Are Looking For :

We are seeking a Director of Quality Engineering & AI-Driven Testing to lead the strategy, execution, and continuous improvement of quality engineering for TradeStation’s new enterprise-grade order management system.

This role emphasizes building and scaling automated testing for both APIs and web UI components and combines hands-on technical depth with strategic leadership.

The ideal candidate brings a proven track record in quality engineering and test automation, with hands-on experience applying AI / ML to enhance coverage, reliability, and defect detection.

What You’ll Be Doing :

• Evaluate and integrate AI-powered testing solutions (e.g., intelligent test generation, self-healing scripts, predictive defect analytics) to measurably improve automation efficiency and coverage
• Lead, mentor, and develop a high-performing quality engineering team dedicated to the enterprise order management system, with clear roles, career paths, and operating rituals
• Establish and implement robust test automation frameworks for APIs and web UI that improve coverage, speed, and reliability across critical workflows
• Drive cross-functional collaboration with Product, Engineering, DevOps, and Security to embed QA in the SDLC, align on quality goals, and ensure secure, timely delivery
• Architect scalable strategies for synthetic and production-like test data, dynamic environment provisioning, and seamless CI / CD pipeline integration to support continuous testing
• Define and track key quality metrics, deliver actionable insights to stakeholders, and drive continuous, data-informed quality improvements
• Lead the evaluation, selection, and lifecycle management of modern testing tools across API, UI, end-to-end, and performance testing, aligned with enterprise standards
• Champion manual and exploratory testing to uncover edge cases, usability issues, and complex scenarios not suited for automation
• Ensure thorough documentation of test cases, testing processes, and best practices to support knowledge sharing, onboarding, and audit compliance
• Promote a quality-first culture through training, shift-left testing, and embedding quality gates throughout development
• Drive standardization of testing tools, processes, and reporting across teams for consistency, scalability, and maintainability
• Ensure AI-enhanced testing practices are scalable, explainable, and aligned with enterprise QA standards
• Apply AI / ML to speed up test case creation, optimization, and regression prioritization
• Use predictive and anomaly-detection models to identify high-risk areas and uncover edge-case failures
• Leverage LLMs / NLP to translate trading rules into executable test scenarios
• Utilize AI-enabled automation frameworks and intelligent test tools to reduce manual effort
• Interpret model outputs and use explainable-AI insights to improve QA reporting and decision-making

The Skills You Bring :

Minimum Qualifications :

What We Offer :

TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.

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