Lead QA Engineer – Mobile, Web & AI
Fulltime opportunity in Mountain View, CA(Hybrid)
Position Overview
We are seeking an experienced Lead QA Engineer to drive quality assurance across mobile, web, and AI-powered applications. The ideal candidate will have a strong background in consumer-facing application testing and the ability to work closely with cross-functional stakeholders to ensure products meet end-user expectations.
This role requires more than traditional quality assurance and test execution. We are looking for someone who understands business priorities, translates user requirements into meaningful test scenarios, and approaches product quality with empathy for the end user.
Key Responsibilities
Lead QA initiatives across mobile, web, and AI-powered applications.
Partner with product managers, engineering teams, and business stakeholders to understand requirements, priorities, and end-user expectations.
Ensure end-user needs are addressed throughout the product development and testing lifecycle.
Develop and execute comprehensive test strategies, test plans, and scenario-based test cases.
Perform functional, integration, regression, exploratory, and end-to-end testing.
Evaluate real-world user journeys and identify potential usability issues, edge cases, and product gaps.
Collaborate with cross-functional teams to prioritize defects and drive timely resolutions.
Advocate for customer experience and ensure applications deliver reliable, intuitive, and high-quality experiences.
Contribute to testing strategies for AI-driven features and functionalities.
Required Qualifications
- Proven experience in a Lead QA Engineer, Senior QA Engineer, or QA leadership role.
- Strong experience testing consumer-facing mobile and web applications.
- Experience working directly with stakeholders, product teams, and engineering teams.
- Strong understanding of end-user requirements and business priorities.
- Ability to design comprehensive test scenarios based on real-world user workflows.
- Strong experience with functional, exploratory, regression, and scenario-based testing.
- Excellent analytical, communication, collaboration, and problem-solving skills.
- A customer-centric mindset with strong empathy for end users.
Preferred Qualifications
- Experience testing AI-powered applications or AI-driven product features.
- Healthcare technology or healthcare application experience.
- Experience working in fast-paced product development environments.
- Familiarity with modern QA automation frameworks and testing methodologies.
