Lead Quality Engineer

Responsibilities

• 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

Requirements

• 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
• Hands-on technical ability to build tooling, frameworks, scripts, or systems that make quality scalable
• Demonstrated mastery of test design, risk-based coverage, and what should be automated versus explored manually
• Comfort using data, metrics, and analytics to evaluate quality and communicate trends, risk, and opportunities for improvement
• Excellent collaboration and communication skills, with the ability to work effectively across Engineering, Product, and customer-facing teams
• Hands-on experience in at least one modern language such as TypeScript, JavaScript, or Python
• Experience testing AI and LLM-powered systems, including evaluating non-deterministic behavior, hallucinations, prompt or workflow regressions, and other quality issues unique to generative products
• Experience working in an FDE, delivery, or professional services environment, with a strong understanding of customer-facing implementation workflows and real-world quality challenges
• For all full-time employees, we

Additional Information

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.

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