Senior AI-First QA Engineer, SQA
Posted 13ds ago
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Job Description
Senior AI-First QA Engineer leading quality assurance and integrating AI into testing at a telehealth startup. Focused on improving healthcare and business systems in global markets.
Responsibilities:
- Test and validate front-end consumer journeys, ensuring that marketing tracking (e.g., UTM parameters, conversion pixels, analytics dashboards) fires correctly and seamlessly hands off to the clinical engine.
- Build and maintain scalable test automation frameworks (using Playwright or Cypress) while utilizing LLMs to automatically generate test cases, edge-case scenarios, and boilerplate code.
- Partner closely with Product Management and Marketing teams to understand business requirements, ensuring that technical testing strategies directly support revenue growth and user retention.
- Create AI-driven scripts to safely generate complex, anonymized synthetic healthcare data to test state machines without compromising patient privacy.
- Embed automated testing seamlessly into GitHub Actions, ensuring that every deployment is rigorously tested for regressions.
Requirements:
- 5+ years of professional software quality assurance or SDET experience.
- Commercial Mindset: You don't just test if a button works; you test if the button achieves its business purpose within the user journey.
- High Agency: Ability to operate in ambiguous environments and make high-leverage decisions without constant supervision.
- Communication: Professional proficiency in English for high-quality technical documentation and cross-functional collaboration.
- Operational Alignment: Maintain a synchronous, high-velocity schedule alongside the core team (9:00 AM – 7:00 PM PDT, Monday through Friday).
Benefits:
- Tech-First Culture: We value engineering excellence and encourage the use of cutting-edge AI tools to solve problems faster.
- High Complexity: Work on "hard" engineering problems involving real-time data and high-stakes reliability.
- Direct Impact: Your work will directly affect patient outcomes and the efficiency of healthcare providers.


















