Lead Quality Engineer (w/ AI testing)

Jecona is a series B startup whose AI agents handle millions of calls every month for Fortune 500 companies. They are seeking a Lead Quality Engineer to raise the bar for quality across their voice AI platform, shaping how quality is defined and measured while partnering closely with Engineering, Product, and Delivery teams.

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
• Applicants MUST have tested AI - please do not apply if you do not have this experience
• 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