QA Engineer – AI-native

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Improvado

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 $22M Series A - Improvado on 2022-05

SaaS • Artificial Intelligence • B2B

Improvado is an AI-native SaaS platform that centralizes marketing and sales data, connecting 1,000+ sources to provide automated ETL/ELT/Reverse ETL, data transformation, and enterprise-grade data governance. Its conversational AI agent answers natural-language queries, builds dashboards on the fly, generates and runs experiments across ad platforms, and applies creative intelligence to analyze and generate ad variants. The platform targets marketing and analytics teams at enterprises and agencies, emphasizing no-code data pipelines, real-time insights, automated campaign validation, and compliance (SOC 2, GDPR, HIPAA support).

📋 Description

• Build AI-based testing frameworks and pipelines that automate the full QA workflow: design test strategies, develop automated tests, create and execute test plans, perform different types of testing across workflows, and analyze defects—all powered by LLM tools and modern AI frameworks • Perform functional, regression, integration, and load testing across agent workflows • Analyze defects and incidents, identify root causes, and help prevent regressions • Collaborate closely with developers, product managers, and R&D on release validation • Contribute to improving QA processes, test coverage, and automation practices

🎯 Requirements

• 3+ years of QA experience, with 2+ years in QA automation • Active hands-on usage of LLMs (GPT, Claude, Llama, etc.) in your QA workflows—not just interest, but real experience in building AI based QA pipelines • Strong Python and PyTest skills • Hands-on experience with SQL (PostgreSQL, ClickHouse) • Solid understanding of REST APIs, client-server architecture, and web services • Experience creating and maintaining automated test suites in CI/CD pipelines • Ability to work independently with complex business logic • Ability to work in EST timezone • Nice to Have: Experience testing data pipelines or integration workflows • Nice to Have: Startup experience

🏖️ Benefits

• Remote-first environment • 20 PTO days + U.S. holidays • Modern AI tech stack and freedom to experiment • Extremely fun & open startup environment • Professional development reimbursement