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; provide technical guidance and career development support • Oversee design, development, and deployment of intelligent multimodal AI agents (voice and chat) for Nextiva’s customer experience platform • Guide integration of NLP, speech recognition, and large language models into production systems • Integrate LLMs and other AI/ML components for question answering, task automation, sentiment analysis, and recommendations • Build and integrate multimodal interaction components including speech-to-text, text-to-speech, and dialog management systems • Optimize AI algorithms and agent frameworks for performance, scalability, and reliability; use data-driven methods to tune models • Implement robust testing (unit, integration, end-to-end) for AI features and incorporate ethical AI practices to ensure unbiased, compliant behavior • Collaborate across the product organization to define roadmap and translate business goals into technical strategies and execution plans • Drive innovation by evaluating and adopting emerging AI technologies and staying current with advancements in AI and multimodal systems • Deliver AI features that measurably improve customer experiences (higher self-service resolution, faster response times, improved satisfaction) while maintaining high software quality and ethical standards

🎯 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 (equivalent practical experience considered) • 8+ years of software development experience • 3+ years in a technical leadership or management role • Proven track record in AI/ML product development and 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 (TensorFlow or PyTorch) and/or a general-purpose language like Java or C# • Experience with machine learning frameworks/libraries (Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi) • Experience with cloud AI services (AWS, Google Cloud, or Azure) and deploying models at scale • Experience with microservices architecture and containerization (Docker, Kubernetes) • Experience integrating speech-to-text (ASR) and text-to-speech (TTS) engines and building chatbots/voice bots • Strong project management, communication, stakeholder engagement, and leadership skills • Familiarity with testing practices for AI features (unit, integration, end-to-end) and ethical AI practices

🏖️ Benefits

• Multiple health plan options including medical, dental, vision, and telemedicine coverage • Life, disability, and supplemental indemnity insurance • Flexible Time Off (FTO) for salaried employees; PTO for hourly employees • Paid Sick Time (PST), paid parental bonding leave, and paid holidays • 401(k) with company match • Health Savings Accounts with company contributions • Dependent Care FSA • Employee Assistance Program and comprehensive wellness initiatives • Access to ongoing learning and development opportunities and career advancement • Competitive compensation packages including base salary, incentives, or bonuses (tailored to role and candidate)