Vice President, Production Engineering

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🏭 Production Engineer

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👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NICE

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1991

☁️ SaaS

🤖 Artificial Intelligence

📡 Telecommunications

SaaS • Artificial Intelligence • Telecommunications

NICE is a leading provider of AI-powered customer service automation solutions, transforming contact centers into world-class customer experience centers. Their CXone Mpower platform offers end-to-end automation of customer service workflows, integrating human and AI agents to deliver efficient and personalized customer interactions. NICE's offerings include AI for customer experience, digital and self-service solutions, workforce engagement and management, and complete cloud-based contact center platforms. They are recognized as a leader in the Contact Center as a Service (CCaaS) industry, providing tools for increased operational efficiency, employee engagement, and enhanced customer satisfaction.

📋 Description

• Lead the evolution of software, systems, network, telecom, database, application operations, DevOps, SRE, and NOC teams into a cohesive Production Engineering function • Shift reactive, ticket-driven operations toward software-first, automated systems that proactively ensure reliability and scale • Define future-state roles, skill sets, and career paths aligned with Production Engineering and AI-first platform needs • Drive up-skilling, re-skilling, and selective hiring • Own engineering and operation of global cloud infrastructure, telecom platforms, and datacenter environments • Ensure production systems meet availability, performance, scalability, security, and cost targets • Establish and enforce production readiness standards • Own governance for capacity planning, resilience, disaster recovery, and business continuity • Establish Production Engineering as a core discipline embedded with Product Engineering teams • Drive automated recovery, infrastructure as code, synthetic testing, and observability • Define SLIs, SLOs, error budgets, reliability metrics, and observability strategy • Lead global incident management, escalation, and executive-level response • Drive AI-assisted operations, automation, agent-based workflows, CI/CD, deployment automation, and infrastructure-as-code practices • Partner with Product Engineering, Customer Support, and Security • Lead, scale, and grow global Production Engineering teams; develop senior technical leaders • Attract, retain, and develop production engineers capable of operating AI-first platforms at scale

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field • 15+ years of engineering leadership experience operating large-scale, distributed platforms • 8+ years leading senior engineering or operations organizations spanning infrastructure, platform, or production environments • Proven experience leading organizational and skill transformation within engineering or operations teams • Strong background in cloud infrastructure, distributed systems, networking, and runtime platforms • Demonstrated ability to establish engineering standards and influence architecture across organizations • Experience partnering with Product, Security, and Support leaders in complex environments • Preferred: Experience operating AI-enabled or data-intensive platforms in production • Preferred: Experience modernizing legacy operations or NOC-based organizations • Preferred: Background in Production Engineering or SRE organizations at scale • Preferred: Experience operating in regulated, sovereign, or enterprise customer environments