About the Role

Lead the quality assurance charter across engineering and customer-facing functions for Netomi's AI-driven SaaS platform. Define and execute the quality vision, ensuring high standards of functionality, performance, reliability, and security. Build and manage a multi-disciplinary QA team while embedding quality across the SDLC.

Key Responsibilities

• Define and execute the Quality Engineering vision and roadmap aligned with organizational goals
• Build and lead a multi-disciplinary QA team (Platform QA, Data Quality, Automation, and Performance Engineering)
• Own functional and regression testing strategy across microservices, SDKs, APIs, and UI layers
• Partner with the Data Science org to establish data quality pipelines for training and inference data
• Institutionalize CI/CD-driven test automation for faster and safer deployments

Required Skills & Qualifications

Must Have:

• 10+ years of experience in software quality engineering, with 3+ years leading QA teams in a SaaS or platform environment
• Proven experience in AI/ML or data-centric product quality, including validation of data pipelines and ML models
• Deep understanding of microservices architecture, cloud platforms (AWS/Azure), and CI/CD pipelines
• Hands-on experience with automation frameworks (Selenium, Cypress, Playwright, TestNG, PyTest, etc.)

Nice to Have:

• Experience in AI/ML testing, data validation, and model governance frameworks
• Familiarity with observability stacks (ELK, Grafana, Datadog, OpenTelemetry) for production monitoring
• Understanding of GenAI systems, prompt testing, and retrieval-augmented generation (RAG) validation

Benefits & Perks

• Work at the frontier of AI-driven customer experience
• Influence quality strategy across platform, AI, and customer success ecosystems
• Collaborate with top-tier engineers and data scientists in a high-growth, innovation-driven culture