Super.com is a company focused on maximizing lives for both customers and employees. They are seeking a Staff SDET to lead quality engineering initiatives, define AI-enabled transformation strategies, and mentor team members in automation and quality practices.
Responsibilities:
- Define and drive the AI Enablement strategy for QA, taking the initiative, owning projects that scale, and introducing new capabilities to both QA and Engineering
- Architect, build, and improve existing quality automation frameworks such as our current Playwright stack. Identify opportunities and roadmap the future of our automation
- Own the automated collection of QA metrics and operationalize the data to drive business outcomes. Identify and attribute trends in quality data and socialize learnings
- Lean in directly with our most critical projects to provide urgent, net-new, or enhanced automated coverage, particularly in domains that currently have gaps today
- Contribute to coding standards and software engineering best practices, improving the quality of code written by both people and AI agents at scale
- Facilitate the expansion of the QA team's capabilities into new domains, such as data, performance, and stability
- Own and improve the quality-related components of our release process, taking direct responsibility for the QA CI Strategy. Specifically, contribute to improved Cycle Time and Deployment rate without compromising quality metrics
- Mentor our QAs towards increasingly AI-enabled and automation-first ways of working
Requirements:
- 10+ years of experience across SWE, QA, SDET, or adjacent fields, at least 3 years at a senior+ level as a SWE or SDET
- AI-first thought & technical leadership: Prepared to lead and drive AI Transformation outcomes for QA
- Deep test automation expertise: Thinks about quality as a platform problem
- Strong full-stack coding, database, and infrastructure fundamentals: Delivers solutions independently across the entire stack from the ground up
- Strongly opinionated on automated measurements of Quality metrics: Which matter, what they mean, how they're collected
- Work with extreme initiative & autonomy: Identifying, delivering, measuring, and communicating staff-level initiatives
- Staff-level communication and cross-functional influence