QA Analyst

Required Skills & Experience

We are seeking a QA Engineer with experience validating data pipelines and AI systems, with a strong eye for both technical and business correctness.

• Experience testing data pipelines, API integrations, and reporting outputs
• Ability to validate software behavior, data correctness, and business logic simultaneously
• Experience building test cases for retry flows, escalation paths, schema drift, DQ checks, review queues, and NL query outputs
• Strong UAT coordination skills with business and technical stakeholders
• Ability to test AI-assisted systems with acceptance thresholds, golden datasets, and exception handling

Key Responsibilities

We collaborate with cross-functional teams to ensure that data products, AI workflows, and reporting outputs meet quality and acceptance standards before release.

• Test data pipelines, API integrations, and reporting outputs for correctness and business logic compliance
• Build test cases covering retry flows, escalation paths, schema drift scenarios, DQ checks, review queues, and NL query outputs
• Validate AI-assisted systems against acceptance thresholds, golden datasets, and exception handling criteria
• Lead UAT coordination with business stakeholders
• Contribute to quality standards and release processes across the full data and AI platform

Nice-to-Have Skills

• Experience with benchmark datasets and evaluation methods for AI/NL query accuracy

What We Offer

• Paid vacations for 20 days after one year
• Referrals program and finder's fee rewards
• Training and certification programs
• Work from home aid
• English classes
• Access to a fitness program
• Profit sharing
• Coaching sessions for personal development

We're looking forward to working together! 🚀