.png)
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We're pioneering a new role focused exclusively on quality assurance for GenAI/Agentic systems. As our QA Automation Engineer within AI, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy.
Your Impact
- Develop and execute end-to-end automated test coverage across evaluations, APIs, UIs, and performance tests using Python.
- Implement testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows within your workstream.
- Run and maintain automated test suites for prompt testing, including regression tests designed to detect unintended changes in model behaviour.
- Support and maintain evaluation frameworks to measure GenAI performance across accuracy, relevance, safety, consistency, and latency.
- Contribute to curating high-quality test datasets and "golden examples" that represent diverse user scenarios and edge cases.
- Assist with adversarial testing to identify potential model hallucinations or biases, and support integrating production alerting systems.
- Utilize internal tools and testing frameworks to help developers easily validate their GenAI code, and assist with user acceptance testing.
- Take accountability for your workstream's automated coverage, documenting testing procedures and known issues in clear, accessible formats.
Your Skills
- Solid QA or test engineering experience, with exposure to or a keen interest in AI/ML systems.
- Hands-on Python coding experience.
- Good understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns.
- Solid experience with test automation frameworks and scripting (Python, Pytest, API, and UI Testing).
- Practical knowledge of software testing methodologies (functional, integration, regression, performance, security testing).
- Ability to execute test cases and evaluate criteria for non-deterministic systems.
- Experience with API testing tools (Postman, REST Assured) and backend testing.
- Familiarity with CI/CD pipelines and automated testing integration.
#LI-SP1
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.
Privacy & AI Notice
Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
