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Genesys

Cloud-based contact center software platform

Staff User Experience Designer - Conversational AI

Product DesignConfirmed live in the last 24 hours
Full-timeNorth Carolina, USAIn-person

About the Job

Requirements

  • At least 8 years of experience in UX design, conversation design, service design, user research, content design, customer experience, or a related discipline.
  • Deep experience solving complex and ambiguous UX problems and shaping experience direction beyond an individual feature, product, or project.
  • Demonstrated success using qualitative and quantitative research to discover customer needs, frame opportunities, challenge assumptions, and influence product strategy.
  • Significant experience defining sophisticated end-customer conversational or AI-driven experiences across voice, digital channels, or both.
  • Demonstrated ability to reason across conversational dimensions including language understanding, dialogue behavior, timing, voice, recovery, trust, context, and action, and translate them into coherent experience direction.
  • Strong understanding of the user experience implications of automatic speech recognition, natural language understanding, text-to-speech, streaming, large language models, and conversational AI systems.
  • Demonstrated ability to identify patterns across complex problems and translate them into scalable experience principles, interaction models, frameworks, or design guidance.
  • Proven ability to influence and align multiple teams and senior cross-functional stakeholders without formal authority.
  • Strong expertise in storytelling, facilitation, systems thinking, prototyping, design communication, and research-informed decision making.
  • A portfolio demonstrating significant UX leadership, complex problem solving, research-informed product decisions, and influence across teams.

Responsibilities

  • Lead research and discovery across complex and emerging conversational AI problem spaces, ensuring customer evidence influences which problems teams prioritize and how product direction evolves.
  • Shape end-to-end experience direction for customer interactions with AI, establishing coherent approaches across structured dialogue, generative conversation, and increasingly agentic experiences.
  • Drive alignment across design, product, engineering, research, data science, and AI teams, turning ambiguous customer and technology challenges into shared experience direction and actionable decisions.
  • Establish reusable conversational experience principles and frameworks that improve consistency, scalability, and customer trust across products, channels, workflows, automation, and human handoffs.
  • Define experience direction for voice interactions across understanding, turn-taking, latency, interruption, end-of-speech behavior, pacing, tone, pronunciation, expressiveness, recovery, and conversational naturalness.
  • Connect voice and digital interaction patterns to broader customer journeys, anticipating system dependencies, policy considerations, context requirements, and experience implications that may not be visible within individual initiatives.
  • Partner with AI and engineering teams to translate capabilities and constraints across automatic speech recognition, natural language understanding, large language models, text-to-speech, streaming, and agentic systems into intuitive customer experiences.
  • Use research, experimentation, conversation analysis, and real interaction data to uncover behavioral patterns, challenge assumptions, and improve the effectiveness and quality of AI interactions.
  • Influence senior stakeholders through compelling narratives that connect customer needs, research evidence, technical realities, business priorities, and experience strategy.
  • Elevate conversational AI design capability across Genesys through hands-on exploration, design critique, mentorship, frameworks, prototyping methods, research practices, and shared learning.

Desired Qualifications

  • Experience designing AI, natural language understanding, large language model-based, generative AI, agentic AI, automation, virtual agent, or complex decision-support products.
  • Experience shaping conversational experiences that span both voice and digital channels in enterprise or customer experience environments.
  • Experience using conversation analysis, experimentation, behavioral data, or production interaction data to evaluate and improve AI experiences.
  • Experience establishing design frameworks, methods, or standards that have improved product quality and design effectiveness across multiple teams.

About the Company

Genesys

Cloud-based contact center software platform

Genesys provides customer experience and contact center software. Its core product, Genesys Cloud CX, is a cloud-native platform for handling customer interactions across voice, messaging, email, chat, and social channels, with built-in AI for self-service, agent assistance, and journey orchestration. It also offers Genesys Cloud EX for workforce engagement and Multicloud CX and PureConnect for private cloud or on‑premises deployments, plus a marketplace called AppFoundry with hundreds of integrations. The company aims to help organizations deliver consistent, efficient customer experiences by routing interactions intelligently, automating self-service, and supporting agents across omnichannel channels at scale.

Company size
5,001-10,000
Company stage
Debt Financing
Total funding
$2.6B
Headquarters
Menlo Park, CA
Founded
2000

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