QA Engineer

Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum. 
At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.
We are looking for a QA Engineer to support testing and quality efforts across Edelman’s trust product portfolio. You will work closely with engineering, product, and data teams to validate functionality, test AI-driven features, and help build reliable automated test suites. This role is a great opportunity for someone with foundational QA or technical experience who is eager to grow their skills in test automation, acceptance testing, and AI quality assurance. Familiarity with TypeScript and modern QA workflows is a plus.

Key Responsibilities:

• Support the development and execution of automated and manual test cases across web and AI-enabled applications.
• Assist in writing and maintaining acceptance and integration tests to ensure reliable system interactions.
• Collaborate with senior QA engineers and developers to understand test requirements, identify edge cases, and contribute to test planning.
• Use Jira to document test execution, log issues, and track QA progress during sprints.
• Help validate AI model outputs and prompts to ensure consistent, fair, and expected performance.
• Participate in setting up and maintaining QA environments and test data sets.
• Document test steps, test results, and findings clearly and concisely for team visibility and continuous improvement.
• Stay engaged with new QA tools, practices, and techniques, especially in automation and AI testing.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 2–3 years of experience in QA, software testing, or technical product validation.
• Familiarity with test automation tools such as Playwright, Cypress, or similar (academic or project experience is acceptable).
• Exposure to Jira or other issue tracking systems.
• Understanding of integration and acceptance testing concepts.
• Basic scripting or coding experience (e.g., JavaScript, Python); TypeScript familiarity is a plus.
• Curiosity about AI systems and eagerness to learn AI/ML testing techniques.
• Detail-oriented, with strong organizational and communication skills.

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We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.