The Director of QA will define and own the overall quality strategy, leading the transition from manual testing to a mature, automation-first organization. They will partner with cross-functional teams to ensure high-quality, secure, and reliable product delivery across AI-enabled features and complex platform integrations.
Design and build real-time conversational voice AI systems and orchestration layers for healthcare applications. Develop and maintain workflows involving speech-to-text, LLM reasoning, and tool calling while ensuring production-grade software quality.
The CTO will own the technical and AI roadmap, pivoting the organization toward an AI-first product ecosystem. They will lead an elite engineering team and manage the AI research budget to ensure high-velocity, intelligence-driven delivery.
Own the end-to-end delivery execution across Engineering, AI, and Product organizations to ensure critical initiatives are delivered on time. Serve as the operational backbone by managing dependencies, tracking roadmaps, and providing executive visibility into progress and risks.
Lead the QA engineering function, defining strategy, roadmap, and processes while actively contributing to test planning, automation, and quality investigations. Manage and mentor a distributed QA team, collaborate cross‑functionally, and leverage AI tools to modernize testing practices.
Lead the engineering organization through rapid growth by scaling a high-performing distributed team and driving technical strategy. Oversee the end-to-end execution lifecycle, ensuring the platform is scalable, secure, and aligned with business goals.
