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Cxone Jobs in Decatur, GA (NOW HIRING)

NICE

Senior Product Manager

Atlanta, GA · On-site

$121K - $160K/yr

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 ...

Honeywell

Senior Advanced Technical Product Owner

Atlanta, GA · Hybrid

$121K - $160K/yr

YOU MUST HAVE * 7+ years of overall IT experience * 3+ years of Functional and Technical experience in Nice CXOne, SFDC, and use Generative, Conversational, or Agentic AI. * 3+ years of Functional ...

New

Honeywell

Senior Advanced Technical Product Owner

Atlanta, GA · On-site

$121K - $160K/yr

Qualifications YOU MUST HAVE * 7+ years of overall IT experience * 3+ years of Functional and Technical experience in Nice CXOne, SFDC, and use Generative, Conversational, or Agentic AI. * 3+ years ...

New

Honeywell

Senior Advanced Technical Product Owner

Atlanta, GA · Hybrid

$121K - $160K/yr

YOU MUST HAVE * 7+ years of overall IT experience * 3+ years of Functional and Technical experience in Nice CXOne, SFDC, and use Generative, Conversational, or Agentic AI. * 3+ years of Functional ...

New

United Airlines

Principal Solution Architect

Atlanta, GA · On-site +1

Develop solutions on platforms such as Genesys Cloud CX, Amazon Connect, NICE CXone, Five9, Cisco Webex Contact Center, and Microsoft Dynamics 365 Contact Center. * Design telephony and integration ...

New

NICE

Senior Commercial Counsel

Atlanta, GA · On-site

$134K - $182K/yr

The role is focused on enabling growth of NiCE's CXone Mpower platform through the negotiation and structuring of complex technology, SaaS, and strategic partnership agreements. You will work closely ...

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Cxone information

What is a cxone?

Cxone, also known as NICE CXone, is a cloud-based customer experience platform designed to help businesses manage and optimize their contact center operations. It offers tools for omnichannel routing, workforce optimization, analytics, and automation, enabling organizations to deliver seamless customer service across various communication channels. Cxone integrates with other business systems and provides insights to improve both agent performance and customer satisfaction.

What are the key skills and qualifications needed to thrive as a cxone administrator?

To thrive as a CXone Administrator, you need a solid understanding of contact center operations, cloud-based telephony, and experience with NICE CXone platform configuration, typically supported by relevant IT or computer science education. Familiarity with tools such as CXone Studio, APIs, workforce management systems, and CXone certification is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help administrators optimize workflows and support users. These skills ensure seamless platform performance, improved customer experiences, and efficient contact center operations.

How does a cxone specialist typically collaborate with other departments to improve customer experience?

As a CXone Specialist, you will frequently work cross-functionally with teams such as IT, customer service, and operations to optimize contact center workflows and technology integrations. You may be involved in gathering feedback from frontline agents, translating business needs into technical requirements, and testing new features or updates. Regular communication and collaboration are essential, as you help ensure that the CXone platform supports overall business goals while also delivering a seamless customer experience.

What is the difference between Cxone vs Customer Service Representative?

AspectCxoneCustomer Service Representative
Required CredentialsTypically requires technical certifications or training in contact center platformsHigh school diploma or equivalent; customer service skills
Work EnvironmentCall centers, technical support teams, customer service departmentsRetail stores, call centers, office settings
Employer & Industry UsageUsed by tech companies, telecoms, and customer support firmsUsed across retail, banking, healthcare, and service industries
Search & Comparison IntentPeople comparing technical support roles involving contact center platformsIndividuals seeking general customer service roles

While Cxone specialists focus on technical support within contact centers, Customer Service Representatives handle general customer inquiries. Both roles are essential in customer support but differ in technical requirements and work environments.

What job categories do people searching Cxone jobs in Decatur, GA look for?

The top searched job categories for Cxone jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Cxone jobs?

Cities near Decatur, GA with the most Cxone job openings:

Cxone jobs near you
Infographic showing various Cxone job openings in Decatur, GA as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Senior Product Manager

NICE

Atlanta, GA • On-site

$121K - $160K/yr

Full-time

Re-posted 13 days ago

Job description

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.

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 integration patterns that only surface through direct engagement
 Represent the Analytics Platform at customer-facing sales meetings, events, and user conferences

Prototype-first development

 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

AI working practice

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

Experience

 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

Skills

 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

Education

 Bachelor's degree required.
Experience preferred
 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

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