Tech Manager, Engineering

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What's the Role All About? The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth. How Will You Make an Impact? Technical Leadership: • Define and govern technical standards and best practices for AI and Conversational AI solution delivery. • Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards. • Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models. • Drive prompt engineering, conversational design, and AI orchestration best practices across the team. • Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards. People Management & Team Development: • Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning. • Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team. • Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms. • Drive a collaborative, inclusive, and high-accountability team culture. Technical Problem Solving & Quality: • Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows. • Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance. • Produce and review key documentation including architecture specifications, test strategies, and deployment materials. Delivery & Process Excellence: • Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management. • Define and continuously improve engineering processes, documentation standards, and delivery frameworks. • Align technical roadmap planning with business priorities and stakeholder expectations. • Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams. Collaboration & Stakeholder Engagement: • Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions. • Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence. • Maintain transparent and consistent communication across all delivery teams. Have You Got What It Takes? Experience & Education: • Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience. • 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred. • 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar). Technical & Architecture Skills: • 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity. • Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript. • Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus. • Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns. • Strong expertise in: • Web APIs, SOAP, and REST implementations • Modern authentication standards (OAuth2, OIDC, SAML) • Browser and web security (CORS, X-Frame Options) • HTML/CSS and front-end fundamentals • Prompt engineering and AI integration patterns • Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles. • Proficiency in databases (SQL/NoSQL) and data integration patterns. • Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms. Leadership & People Management: • Demonstrated experience managing and growing engineering teams, including performance…