QA Engineering Lead, AI Native

Location: Menlo Park, CA

Compensation:

$138,000/year to $191,000/year + bonus + equity + benefits

Responsibilities:

• Lead the design and execution of test strategies for AI models across text, image, and voice.
• Develop robust evaluation processes for AI models, including prompt engineering and scenario-based testing.
• Ensure high quality for products and features, balancing speed and user experience.
• Implement QA processes to scale testing efforts across multiple products.
• Collaborate with engineering teams to leverage automation for reliable product delivery.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field.
• 5+ years of experience in quality assurance and test automation.
• 1+ years of hands-on experience testing AI-powered products.

Preferred Qualifications:

• Experience in programming languages such as Python, PHP, or Java.
• Experience leading black-box and white-box testing strategies.
• Experience with AI technologies and tools to enhance QA workflows.