Staff Quality Engineer

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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

StackAdapt is seeking a talented Staff Quality Engineer to join the Automation and Intelligence Pillar pod, the group building StackAdapt's AI and agentic products. As the most senior quality engineer on the team, you will set the technical direction for how we test, evaluate, and ship intelligent systems, working across LLM-powered features, agentic workflows, and the data and tooling that support them.

This is a hands-on, individual-contributor leadership role: you will lead the effort to design quality strategy for non-deterministic AI systems, build the frameworks and harnesses that make those systems testable, and raise the quality bar across a fast-moving, cross-functional agile environment. Your work will directly affect the success of product releases, accelerate our defect detection and prevention capabilities, and help define what quality means for AI at StackAdapt.

Learn more about our engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the United States for this position. What You'll Be Doing: Own and drive the end-to-end quality strategy for the Automation and Intelligence Pillar pod's AI such as our Ivy product, from test architecture through release readiness Design and build evaluation frameworks for non-deterministic systems, including LLM output quality, agent behaviour, regression detection, and guardrail/safety testing Develop reliable, scalable automated test suites and tooling that address functional, system, API, integration, UI, and regression testing, and integrate them into our CI/CD pipeline Establish quality metrics and benchmarks (accuracy, latency, cost, hallucination/failure rates) that give the team confidence to ship and inform data-driven decisions Partner closely with Engineering Managers, Product Managers, Designers, ML/Data Science, and other engineering teams to align requirements, priorities, and definitions of done Act as a techn