Description

Job Description

Our platform serves school districts and educational organizations with teacher evaluation and compliance management software. This role is for an experienced QA professional with a strong foundation in testing principles and automation who is actively using AI to push the discipline forward. We're looking for someone who can design and execute comprehensive test coverage, build and maintain automation, and drive the adoption of AI-powered tools and methodologies across the QA process. The work includes designing tests, reviewing requirements, performing exploratory testing, and building automation — with AI integrated into how you approach all of it.

The right person is a curious, methodical thinker who asks what if and what happens when naturally. Someone who invests time in understanding a problem before proposing solutions. Someone who can challenge assumptions — both their own and others — without being adversarial. Creative in test design — able to think through scenarios that aren't in the requirements, anticipate how real users will break things, and find the gaps between what was specified and what was built. A clear communicator who can explain testing approach to people with varying technical backgrounds in a constructive, informative tone.

Responsibilities

Build and maintain an automated regression suite using scripting tools with AI assistance for script generation and maintenance. Manage the ongoing run-fix-rerun cycle as the UI evolves, including triaging automation results.
Research, evaluate, and recommend emerging AI-powered QA tools and methodologies, including behavior-driven test generation and visual AI testing, for applicability to our environment.
Participate in requirements and wireframes review. Flag ambiguous requirements, missing negative cases, and other common testability issues before development begins.
Design test plans, test cases, and test scenarios from requirements and user stories. Direct AI tools to generate comprehensive test coverage, then review and refine AI output for blind spots, missing edge cases, and gaps that incomplete documentation creates.
Apply systematic test design techniques to break features down into scenarios, identify important variables, and prioritize testing effort based on risk — considering both the likelihood and impact of potential failures.
Perform manual regression, functional, and exploratory testing as necessary.
Identify, log, and track defects. Analyze issues to determine root causes and provide detailed reports to the development team.
Communicate effectively with developers, product owners, and other stakeholders.
Other responsibilities as assigned.

Qualifications

Experience designing, writing and maintaining automated test scripts. Python experience is a plus.
Experience in software quality assurance or testing, with a demonstrated foundation in QA principles and methodologies.
Understanding of QA methodologies and how testing fits within the software development lifecycle. ASQ Software Quality Engineer (CSQE) or ISTQB Foundation Level certification preferred; a willingness to pursue certification is sufficient.
Self-directed learner who explores new technologies independently and understands how they work, not just how to use them.
Actively using AI tools as part of your QA workflow. Able to evaluate AI output critically and identify where it falls short.
Experience designing test cases, performing exploratory testing, and reviewing requirements for testability.
Clear written communication. You'll write test plans, document defects, and collaborate with people across varying technical backgrounds.
Ability to work independently and as part of a cross-functional team.

Sr QA Analyst