Engineering Manager – AI Agents

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September 10

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Nextiva

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Artificial Intelligence • Enterprise • SaaS

Nextiva is a leading provider of unified customer experience management solutions, offering an AI-powered platform that integrates customer interactions across various channels such as voice, live chat, messaging apps, SMS, email, social media, and video. Their platform is designed to help businesses enhance customer journeys, improve contact center efficiency, and increase customer retention through intelligent automation and real-time insights. Nextiva's solutions are tailored for both small businesses and enterprise-level organizations seeking to consolidate and optimize their technology investments while maintaining compliance and security standards. They are widely recognized for their advanced AI capabilities, which include sentiment analysis, language detection, and workflow automation.

1001 - 5000 employees

Founded 2006

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $200M Private Equity Round on 2021-09

📋 Description

• Lead, mentor, and grow a team of AI Software Engineers; foster a culture of innovation, collaboration, and continuous learning • Provide technical guidance and career development support • Oversee design, development, and deployment of AI agents (spoken voice, written text) for Nextiva products • Ensure delivery of high-quality, scalable, and reliable AI features and guide integration of NLP, speech recognition, and large language models into production systems • Integrate large language models and AI/ML components to enable question answering, task automation, sentiment analysis, and recommendations • Build and integrate components for multimodal interactions including speech-to-text, text-to-speech, and dialog management systems • Optimize AI algorithms and agent frameworks for performance, scalability, and reliability using data-driven methods • Implement robust testing (unit, integration, end-to-end) and incorporate ethical AI practices to ensure unbiased, privacy- and security-compliant behavior • Partner and collaborate across the product organization to define the AI agent roadmap and translate business goals into technical strategies • Drive innovation by evaluating and adopting emerging AI, machine learning, and multimodal interaction technologies

🎯 Requirements

• Bachelor’s degree in computer science, Software Engineering, or a related field (required) • Master’s degree in AI, Machine Learning, or related discipline strongly preferred (or equivalent practical experience) • 8+ years of software development experience • 3+ years in a technical leadership or management role • Proven track record in AI/ML product development • Proven experience developing production-grade software (backend services, APIs, data pipelines) • Strong understanding of AI and machine learning fundamentals with hands-on experience in NLP and/or deep learning • Familiarity with transformer-based models and conversational AI frameworks • Proficiency in Python (with ML libraries like TensorFlow or PyTorch) and/or a general-purpose language like Java or C# • Experience with ML frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi) • Experience with cloud AI services (AWS/GCP/Azure) and deploying AI/ML models at scale • Experience with microservices architecture and containerization (Docker, Kubernetes) • Experience integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots • Demonstrated ability to lead high-performing engineering teams • Strong project management, communication, and stakeholder engagement skills

🏖️ Benefits

• Supplemental health plan available with coverage for prescriptions, paramedical expenses, dental and vision care • Company paid life and disability coverage • Flexible Time Off (FTO) for salaried employees and paid holidays • RRSP employee long-term savings plan with company match • Employee Assistance Program and comprehensive wellness initiatives • Access to ongoing learning and development opportunities and career advancement • Compensation packages may include base salary, incentives, or bonuses depending on position and candidate