Manual QA Engineer AI-Driven EdTech Platform

We live in a world where technology is rapidly changing the educational experiences of students and teachers everywhere, and we have the opportunity to shape how this change takes place. Kira's mission is to harness transformative AI technologies to make world-class personalized teaching and learning accessible to everyone. Kira is a rapidly growing startup backed by top-tier Venture Capital funds including New Enterprise Associates (NEA), Andrew Ng’s AI Fund, and Primavera.

Quality is critical to ensuring teachers and students can rely on our product every day. As a Manual QA Engineer, you will help ensure a high-quality, reliable experience across our platform. This role is focused on hands-on manual testing, exploratory testing, and validating new features before they reach production. You will work closely with product managers, engineers, and designers to deeply understand new features, identify potential issues early, and advocate for the end-user experience.

You will play a key role in verifying functionality across complex workflows, including AI-powered features where outputs may be non-deterministic.

This role is ideal for someone who is detail-oriented, curious about how products work, and passionate about delivering high-quality user experiences. We have offices in San Francisco, CA and New York City, NY and we ask that employees work from one of the two locations and come into the office in-person 4 days a week (Wednesdays WFH).

What You’ll Do

• Perform manual testing of new product features across web applications and AI-driven workflows

• Execute regression, exploratory, and acceptance testing to validate new functionality before release

• Run sanity checks on staging and release builds to ensure stability prior to deployment

• Write clear, detailed, and reproducible bug reports, including steps to reproduce, logs, and impact assessments

• Collaborate closely with engineers to debug issues and verify fixes

• Develop a deep understanding of the product to identify edge cases, usability issues, and quality risks

• Validate complex teacher and student workflows, including AI-generated outputs and interactive experiences

• Evaluate features not only for correctness but also usability, clarity, and user experience

• Help prioritize testing efforts based on product impact and risk

• Contribute to QA documentation, testing checklists, and release validation processes

• Participate in release readiness and post-release validation to ensure product stability

What We’re Looking For

• 2+ years of experience in manual software testing or quality assurance

• Experience and expertise in QA processes and UI/UX testing (web and mobile)

• Strong experience performing manual regression, exploratory, and functional testing

• Experience testing web applications and user-facing products

• Ability to write clear and actionable bug reports

• Strong debugging skills and ability to work closely with engineers to reproduce issues

• High attention to detail and strong product intuition

• Excellent communication skills and ability to collaborate across engineering, product, and design

• Comfort working in a fast-moving startup environment

• Strong curiosity and willingness to deeply understand product behavior and edge cases

Nice to Have

• Experience testing AI or LLM-powered products

• Experience testing complex workflows involving APIs, backend systems, or data pipelines

• Familiarity with basic developer tools (browser dev tools, logs, network inspection)

• Experience testing distributed systems or modern web stacks

Our services currently span:

• Next.js + React frontend

• Kotlin + Java Spring Boot backend

• Python FastAPI AI services

• Langsmith agent workflows

• Critical user flows consistently work for teachers and students

• Bugs are caught early during…