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The Sales Director will exceed sales objectives for Amelia, a conversational AI solution, by managing a sales pipeline, engaging clients, leveraging partnerships, and participating in industry events. The role requires expertise in contact centers and a proven sales record, particularly in the Banking and Financial Services sectors, with strong capabilities in nurturing and closing high-value contracts.
The Senior Software Engineer will leverage their programming and system design skills to create innovative conversational voice assistants using Generative AI. They will build AI capabilities, quickly bring new technologies to market, and utilize generative AI services.
Lead and conduct research in Generative AI focusing on natural language understanding and dialogue generation. Develop algorithms and large-scale deep learning models for conversational AI, collaborate with teams, and mentor junior staff. Stay updated with advancements in Generative AI technology.
The Principal Software Engineer will lead advancements in Automatic Speech Recognition and wake word technologies, develop algorithms to enhance performance, train large-scale deep learning models, collaborate with cross-functional teams, and mentor junior engineers. They will stay updated on ASR and ML advancements to drive continuous improvement.
The Software Engineer II will enhance the proprietary inference server for the Polaris project while supporting the existing ASR system. Responsibilities include development and integration tasks involving C++ and Python, along with complex problem-solving including design and optimization.
As a Software Engineering Manager, you will lead the music search project, leveraging algorithms and data insights to enhance user interaction with music. You'll manage team growth, hire additional members, and innovate music solutions, impacting millions of music enthusiasts.
The Product Support Engineer II will troubleshoot escalated issues related to Java applications and voice technologies, optimize performance in Linux and Kubernetes environments, diagnose VoIP connectivity problems, and document resolutions in a ticketing system. Responsibilities include monitoring applications, supporting user configurations, and escalating issues when necessary.
The Product Support Manager leads a team of product support specialists, focusing on customer service excellence and the operational performance of a SaaS AI application. Responsibilities include team mentorship, developing training programs, handling escalated issues, managing incidents, and implementing process improvements while analyzing support metrics.
The DevOps Engineer II will optimize the development lifecycle and ensure system reliability for a Conversational AI platform. Responsibilities include developing CI/CD pipelines, managing cloud infrastructure using tools like Terraform and Ansible, and ensuring robust performance of applications across environments.
The Product Support Engineer I position involves troubleshooting user issues related to a Java application on Linux, providing support with UI configurations and system maintenance. Responsibilities include responding to inquiries, logging incidents, monitoring application performance, and escalating issues as needed. Strong Linux command and basic DB management skills are required, along with effective communication and documentation abilities.