Lead Quality Engineer

Lead Quality EngineerLocation: Remote (US or Canada) Company Stage of Funding: Series B Office Type: Remote Salary: $160,000 – $220,000 Base + Competitive Equity Visa: Open to H1B transfers / sponsorship support availableOur client is building one of the leading enterprise conversational AI platforms, powering AI voice agents for customer service at scale. Their platform is already deployed with major enterprise brands including DoorDash, Sunrun, and AAA, and has processed over a billion minutes of customer conversations in production environments.The company is entering a major scaling phase as enterprise demand for AI-native customer support accelerates. They are focused on building AI agents capable of handling highly dynamic, real-world customer interactions with quality levels approaching or exceeding human support teams.This is an opportunity to join a rapidly growing AI company backed by over $113M in funding, where you'll help define how quality engineering operates for modern conversational AI systems.What You Will DoLead company-wide quality engineering strategy across conversational AI products and delivery systemsDefine scalable QA standards, testing practices, and release validation processesBuild and evolve AI-native testing workflows for conversational and voice AI systemsDesign testing strategies for non-deterministic AI systems including hallucinations, context drift, and probabilistic outputsOwn platform-level validation approaches across AI agents, integrations, workflows, and deploymentsBuild and improve automation frameworks, test infrastructure, and CI/CD quality gatesUse AI tooling to accelerate validation, generate edge-case coverage, and improve test scalabilityDevelop tooling for conversation simulation, replay analytics, and voice AI testing workflowsLead and mentor a team of QA engineers while raising the technical quality bar across the organizationPartner closely with Product, Engineering, and Delivery teams to embed quality early in the SDLCImprove bug triage, release readiness, and platform reliability processesBuild scalable feedback loops using customer insights, A/B testing, internal dogfooding, and production analyticsDrive cross-functional quality initiatives across engineering and customer delivery organizationsHelp transition the organization from manual QA practices toward AI-native quality engineering systemsInfluence testing strategy and quality culture across multiple teams without formal authorityIdeal Candidate Background8–12 years of experience in QA, Quality Engineering, or SDET rolesExperience leading quality initiatives across multiple engineering or product teamsStrong automation engineering background with modern testing frameworksExperience testing conversational AI, voice AI, or LLM-powered systemsStrong AI tooling fluency using tools like Claude, ChatGPT, Cursor, or agentic workflowsExperience building scalable automation infrastructure and CI/CD quality systemsStrong technical coding ability in TypeScript, JavaScript, or PythonExperience designing QA strategies for non-deterministic systemsStrong cross-functional communication and stakeholder influence skillsComfortable operating in ambiguous, fast-moving startup environmentsHands-on builder mentality with strong ownership orientationExperience balancing strategic quality leadership with direct executionCustomer-facing or delivery-oriented background is a strong plusInterest in growing into people management leadership over timeStrong SignalsExperience testing voice AI, chatbot systems, or conversational AI platformsAI-native QA engineering experienceExperience with LLM evaluation, RAG testing, or agentic AI systemsBuilt AI-driven QA tooling or automation systemsStrong Playwright, Selenium, or modern automation framework expertiseExperience building CI/CD validation pipelinesExperience with release engineering and platform-level testing systemsStrong understanding of hallucinations, probabilistic behavior, and edge-case testingBackground in customer-facing delivery or implementation organizationsExperience influencing engineering quality standards across multiple teamsAutomation-first mindset versus manual QA orientationExperience scaling QA organizations in high-growth startupsAbility to mentor and elevate junior QA engineersStrong product intuition and customer empathyComfortable working cross-functionally without heavy process structuresExperience using AI tools to improve testing coverage and engineering productivityCompensation and BenefitsBase salary: $160,000 – $220,000Competitive equity packageFully remote across US or CanadaVisa sponsorship and H1B transfers supportedOpportunity to shape AI-native quality engineering at scaleLeadership growth path into people managementHigh ownership and autonomy across QA strategy and toolingWork on cutting-edge conversational AI systems in productionBacked by $113M in funding with strong enterprise tractionExposure to large-scale enterprise AI deployment challengesWhy JoinThis is an opportunity to help define what quality engineering looks like in the era of conversational AI and LLM-powered systems.You'll work directly on production AI systems handling millions of real-world customer conversations while building the testing infrastructure, automation tooling, and validation frameworks that power scalable enterprise AI deployments.If you enjoy solving ambiguous engineering problems, designing AI-native testing systems, influencing cross-functional quality culture, and operating with high ownership in fast-moving environments, this role offers exceptional impact and technical leverage.