Lead Quality Engineer

At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps. Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction. At Replicant, we believe AI should work for people, starting with customer service. We’re looking for a Lead Quality Engineer to help raise the bar for quality across our voice AI platform as we continue to scale. This person will play a key role in shaping how quality is defined, measured, and built into the product experience from the start — across platform capabilities, AI agents, customer configurations, integrations, and release workflows. This is an opportunity to help build the systems, standards, and tooling that make quality a durable advantage for both our customers and our teams. As the Lead Quality Engineer, you will partner closely with Engineering, Product, and Delivery to create a more unified and scalable approach to quality. You’ll define standards, improve testing strategy, build and evolve automation and platform-level tooling, and turn customer and product insights into better validation systems. This is a hands-on leadership role for someone who is excited to work at the intersection of software quality, automation, analytics, and AI. The right person will help us move toward a modern quality engineering practice where testing is proactive, automated wherever possible, and grounded in the realities of conversational AI. What You’ll Do - Serve as the company-wide leader for quality engineering, shaping how quality is built into Replicant’s platform, championing a high bar across teams, and driving the practices and execution that make it real - Lead, mentor, and support a team of 5 AI-enabled QA Engineers, raising the technical bar and guiding the team toward a more scalable quality engineering practice, with the opportunity to grow into a people management role - Lead Replicant’s AI-native quality engineering strategy to scale coverage, accelerate validation, and surface failures earlier - Build AI-driven testing workflows that let a small team deliver broad, scalable validation across the platform - Own the quality feedback loop from internal dogfooding, customer A/B testing, customer feedback triage, and bug reporting, turning real-world usage into faster fixes, better test coverage, and stronger product decisions - Partner with Product and Engineering early to improve testability, shape acceptance criteria, and build quality in from the start - Build and improve automation frameworks, validation tooling, and CI/CD quality gates for reliable, repeatable releases - Use AI and analytics to expand edge-case coverage, summarize failures, and generate insights that inform roadmap and release decisions What You'll Bring - 8+ Years experience in QA, Quality Engineering, or SDET roles, including ownership of test strategy and release quality in complex software systems - An AI-native approach to quality engineering — you know how to leverage AI to move faster, increase coverage, reduce manual effort, and build smarter testing and validation workflows - Curiosity about AI systems, conversational experiences, and the nuances of testing voice-driven product behavior - Experience leading quality initiatives across teams and influencing engineers, product managers, and stakeholders around a shared quality bar - Deep knowledge of modern testing practices, including automation, API and integration testing, regression strategy, and CI/CD-based quality workflows - Han