AI Senior Product Manager

Responsibilities

• Service strategy and roadmap
• Own the roadmap for an Analytics Platform service area - set direction, prioritize, and keep it current
• Produce and maintain the service specification for each release - a precise, machine-readable document generated through the prototyping process that functions as the primary prompt for the developers executing the build
• Own domain expertise for your service area: AI capabilities, competitive landscape, and real-world production performance
• Internal adoption and service growth
• Identify which NiCE application teams should consume each service, understand what is blocking adoption, and drive the changes that unlock it
• Track and grow the number of NiCE applications actively consuming each Analytics Platform service
• Work with application PMs to ensure services are positioned, documented, and ready to integrate when they need them
• Define and communicate the value proposition of each service to internal consumers: accuracy, latency, reliability, and ease of integration
• Service economics and cost awareness
• Maintain visibility into the cost dimension of your service portfolio: understand unit economics and monitor cost per service unit delivered
• Give internal consumers transparent cost and performance data to support informed adoption decisions
• External customer engagement
• Engage directly with NiCE enterprise customers as the Analytics Platform subject matter expert - a primary participant wherever Analytics Platform capabilities are in scope
• Join application PMs in customer meetings - keep the underlying AI capability accurately represented and route customer feedback directly to the roadmap
• Build direct relationships with enterprise customers, particularly AI governance, risk, and data science functions
• Turn enterprise customer insight into service requirements: performance gaps, emerging use cases, governance requirements, and integra

Additional Information

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. Senior Product Manager - Analytics Platform NiCE (NASDAQ: NICE) is transforming the world with AI that puts people first. When the world's leading organizations want to automate customer engagements into proactive, safe, intelligent actions - from interaction to resolution - they turn to NiCE. Trusted by organizations across 150+ countries, NiCE CXone is the enterprise customer experience AI platform that orchestrates human and AI agents, automates service, and accelerates intelligent experiences at scale. NiCE is seeking a Senior Product Manager to join the Analytics Platform team within the Platform LOB. The Analytics Platform is NiCE's internal AI service layer - the engines and data capabilities that power CXone. It produces AI services including real-time transcription, post-call transcription, TopicAI, sentiment analysis, and behavior models that NiCE application teams consume to build customer-facing products. The Analytics Platform does not sell directly to enterprises - but it operates with full commercial discipline. Success is measured primarily by the breadth of internal service adoption, the quality of services delivered, and the impact those services have on NiCE's AI differentiation in the market. This is a senior individual contributor role requiring deep product management expertise, demonstrable capability in AI-native product development, and the ability to operate fluently across two customer relationships simultaneously: the internal NiCE application teams who consume Analytics Platform services, and the enterprise customers who use those applications and expect to engage directly with the capability expert behind them. The Senior Product Manager owns the strategy, roadmap, and prototype-driven discovery for their area of the Analytics Platform. They move from customer insight to working, validated prototypes - producing detailed specifications that feed directly into the development pipeline. They work alongside the developers who own spec-driven code execution, with full product management accountability across the service portfolio, internal adoption, and external customer engagement. The ideal candidate understands how platform-layer AI services create value - not just technically, but commercially. They know how to grow adoption within a product organization, how to engage enterprise customers as the subject matter expert on a capability that sits beneath the product they're using, and how to keep a clear view of service costs without letting current AI economics constrain what they're willing to try. They bring strong product instincts, hands-on AI capability, and the credibility to be in the room with both internal engineering teams and enterprise AI governance functions.

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