Lead QA Engineer

Evertune
93d

About The Position

Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth. Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy. Backed by top-tier VC investors and trusted by forward-thinking brands, we move fast, think boldly, and believe the best ideas win – regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.

Requirements

  • 5+ years of QA experience, including both manual and automated testing for complex web applications.
  • Proven experience running a QA function solo or as part of a small, high-impact team.
  • Experience in a startup or high-growth SaaS environment.
  • Strong understanding of testing methodologies, tools, and processes.
  • Hands-on experience with QA automation tools (tool-agnostic).
  • Ability to write clear, concise test cases and defect reports.
  • Knowledge of performance and accessibility testing best practices.
  • Strong leadership and mentorship skills, with the ability to grow and guide a team.
  • Excellent communication skills and a collaborative mindset.
  • Background in testing analytics, SEO, or marketing technology products is a plus.

Responsibilities

  • Own quality assurance from the ground up – building and leading our QA function.
  • Shape processes and ensure everything we ship meets enterprise-grade standards.
  • Combine hands-on UI manual testing with the design and implementation of UI automation.
  • Work closely with engineering, product, and design to test new features.
  • Catch issues early and improve release confidence.
  • Recommend and implement the best automation tools for our stack.

Benefits

  • Competitive Equity
  • Medical/Dental/Vision Coverage
  • Generous Paid Time Off
  • Commuter Benefits
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service