Nice5h ago

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AI Senior Product Manager

United States·Usa - Atlantasenior

Product ManagementSenior Product Manager

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Quick Summary

Key Responsibilities

AI capabilities, competitive landscape, and real-world production performance Internal adoption and service growth • Identify which NiCE application teams should consume each service,

Requirements Summary

performance gaps, emerging use cases, governance requirements,

Technical Tools

Product ManagementSenior Product Manager

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.

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.

Responsibilities

~1 min read

• 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

• 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

• 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

• 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 integration patterns that only surface through direct engagement

• Represent the Analytics Platform at customer-facing sales meetings, events, and user conferences

• Validate ideas and test assumptions with real customers before engineering cycles begin

• Use prototypes to generate specifications

• Design and run structured evaluation cycles for AI outputs — establishing baselines, identifying failure clusters, iterating one change at a time, and documenting results

• Apply AI tools across discovery, synthesis, spec writing, competitive analysis, and stakeholder communication

Requirements

~1 min read

• 8+ years of experience in software product management or a directly relevant role

• Experience owning a product or service with clear adoption, usage, or commercial metrics — and a demonstrated track record of moving those metrics

• Demonstrable experience engaging directly with enterprise customers as a technical subject matter expert, including with AI governance, risk, or data science functions

• Demonstrable experience building AI-native product prototypes using AI tools, and running structured AI evaluation cycles

• Experience producing detailed product specifications that enable downstream engineering execution with minimal back-and-forth

• Experience with version control and basic development workflow sufficient to manage a prototype codebase (Git, repo structure, commit discipline)

• Experience leading and influencing teams that do not report to you in a matrixed global organization

• Demonstrated ability to grow adoption of a product or service within an organization — understanding what drives and blocks adoption, and how to move it

• Cost awareness without cost constraint: able to track and communicate service economics clearly, while keeping current AI model costs in proper perspective — the technology is getting cheaper faster than any team can optimize it

• Engages enterprise customers with technical depth and commercial credibility — equally comfortable discussing accuracy benchmarks, integration patterns, and business value

• Excellent written and oral communication skills across technical and non-technical audiences

• Writes precise, detailed specifications — the foundation on which developers execute spec-driven development

• Strong cross-functional leadership and project management skills

• Hands-on familiarity with LLM behavior: prompt design, output evaluation, and failure modes

• Bachelor’s degree required.

Nice to Have

~2 min read

• Platform, infrastructure, or API-layer product management where the direct customer is an internal team or developer

• Contact center, CX, analytics, or adjacent enterprise software

• Conversational AI, virtual agents, or generative AI applications — particularly from the perspective of the shared AI services these features consume

• AI governance considerations — data privacy, audit logging, and regulatory requirements (GDPR, CCPA) — as they apply to AI services consumed across multiple application teams

• Agentic AI workflows and multi-step AI orchestration, and how they shape requirements for the underlying AI services

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.