Position:QA Lead

Location:CA(Remote)

Duration:Long term

Job Description:

Experience Level: 8 - 10 years

Overview

We are seeking a meticulous and detail-oriented QA Lead with 8 to 10 years of hands-on experience in quality assurance, particularly in testing AI products. The ideal candidate will be actively involved in day-to-day testing activities while also leading and mentoring a small QA team. This role requires a strong focus on testing, documentation, and UX design, with extensive experience in creating detailed test scenarios, regression testing, and identifying edge cases. The QA Lead will also be responsible for implementing a testing repository system and utilizing QA automation tools.

Key Responsibilities

Team Leadership & Mentorship

Lead and mentor a small team of QA engineers, providing guidance, support, and professional development opportunities

Foster a collaborative team environment focused on quality excellence and continuous improvement

Hands-On Testing

Hands-on involvement in daily testing activities, including manual and automated testing of AI products

Develop comprehensive test plans and strategies for AI products, ensuring thorough coverage of all functionalities

Collaborate with product managers and developers to define testing requirements and acceptance criteria

Test Development & Execution

Create detailed test scenarios, regression scenarios, and edge cases to ensure robust testing of AI functionalities

Execute manual and automated tests, documenting results and identifying defects

Maintain meticulous documentation of test cases, test results, and defect reports

Automation & Tools

Develop and maintain a testing repository system to streamline test case management and reporting

Implement and manage QA automation tools to enhance testing efficiency and coverage

Collaborate with the automation team to design and execute automated test scripts

Integration Testing

Conduct testing of integrations with multiple LLMs and external systems, ensuring seamless functionality and performance

Identify and troubleshoot integration issues, working closely with development teams to resolve them

UX Collaboration

Work alongside UX designers to ensure that testing aligns with user experience goals and design specifications

Provide feedback on UX design elements based on testing outcomes and user interactions

Communication & Stakeholder Management

Lead QA team meetings, providing updates on testing progress and challenges

Communicate testing results and quality metrics to stakeholders, ensuring transparency and alignment on quality objectives

Collaborate with cross-functional teams to address quality issues and implement solutions

Qualifications

Required

Education: Bachelor's degree in Computer Science, Engineering, or a related field

Experience: 8 - 10 years of hands-on experience in quality assurance, with a focus on AI products and integrations

Leadership Experience: Proven track record of leading and mentoring QA teams while remaining actively involved in testing

Technical Skills

Proficiency in QA automation tools (e.g., Selenium, TestNG, JUnit, Cypress, Playwright)

Experience with testing frameworks and repository systems

Strong understanding of software development life cycle (SDLC) and testing methodologies

Detail Orientation: Exceptional attention to detail in documenting test scenarios and results

UX Design Knowledge: Familiarity with UX design principles and the ability to collaborate effectively with design teams

Problem-Solving Skills: Strong analytical and troubleshooting skills, with the ability to think critically about product functionality

Communication Skills: Excellent verbal and written communication skills, with the ability to mentor and guide team members effectively

Hands-On Approach: Must be willing and able to actively participate in testing activities alongside the team

Preferred Qualifications

Experience in testing AI products, particularly those involving machine learning and natural language processing

Knowledge of performance testing and security testing methodologies

Familiarity with Agile methodologies and tools (e.g., Linear, Notion)

Experience with API testing tools (e.g., Postman, REST Assured)