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Genesys

Cloud-based contact center software platform

Director of Product Management - Voice AI & Speech Experience

Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of Product Management, Product Strategy, Experience Design, or related experience in enterprise SaaS, AI, communications, speech technology, or adjacent technologies.
  • Proven leadership at a Director level or equivalent, including experience driving complex initiatives across multiple organizations.
  • Strong understanding of modern voice AI, conversational AI, speech technologies, generative audio, or adjacent AI technologies.
  • Understanding of emerging architectures including speech-to-speech, multimodal, and end-to-end voice models.
  • Experience evaluating external technology providers and making build, buy, partner, or original equipment manufacturer product decisions.
  • Strong technical aptitude and the ability to work credibly with Engineering and AI/ML teams on architecture, model performance, APIs, latency, scalability, reliability, and quality.
  • Demonstrated ability to translate customer experience requirements into product strategy and execution.
  • Strong customer-facing skills with experience working directly with enterprise customers and senior executives.
  • Experience partnering with Sales, Solutions Consulting, Product Marketing, Customer Success, or other go-to-market functions.
  • Strong commercial judgment and the ability to evaluate product decisions through both customer experience and business lenses.
  • Ability to operate effectively in a rapidly changing technology market where architectures, models, and competitive expectations evolve quickly.
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Responsibilities

  • Define and own the product strategy and roadmap for AI voice capabilities across Genesys Cloud.
  • Establish the vision and quality bar for a best-in-class enterprise AI voice experience.
  • Evaluate emerging voice technologies, models, architectures, and providers and determine where to build, partner, use OEM technology, or integrate.
  • Develop a portfolio strategy that balances voice quality, latency, conversational intelligence, expressiveness, language coverage, regional availability, enterprise requirements, cost, and reliability.
  • Evaluate traditional speech architectures alongside emerging speech-to-speech, generative audio, multimodal, and end-to-end conversational voice models.
  • Partner with Engineering and AI teams to translate advances in speech and generative AI into production capabilities for enterprise-scale customer use.
  • Ensure the voice strategy supports the broader Genesys AI, Agentic AI, Virtual Agent, and conversational experience roadmap.
  • Assess how new voice architectures can improve latency, naturalness, turn-taking, interruption handling, prosody, emotional intelligence, and overall customer experience.
  • Own product strategy and relationships with strategic voice AI technology providers.
  • Benchmark OEM technologies across naturalness, latency, prosody, expressiveness, pronunciation, interruption handling, conversational responsiveness, language and accent coverage, reliability, and enterprise readiness.
  • Establish frameworks for evaluating strategic voice technology providers and selecting technology for customer and product use cases.
  • Work with Engineering, Procurement, Legal, Security, Finance, and strategic partners to influence vendor roadmaps and make technology and commercial decisions.
  • Determine when to use embedded OEM capabilities, customer-provided technology, strategic integrations, or native Genesys capabilities.
  • Monitor the voice AI market and identify emerging technologies, models, and partnerships that can create differentiated customer experiences.
  • Shape commercial models for delivering premium voice experiences with scalable economics.
  • Develop relationships with strategic technology partners and ensure Genesys requirements influence their product roadmaps.
  • Establish a customer-facing discipline for helping organizations design AI voice experiences for their brands and customers.
  • Work directly with strategic customers to understand brand personality, customer demographics, desired emotional experience, industry, use cases, and geographic markets.
  • Guide customers through traditional speech architectures, generative voice, speech-to-speech, multimodal, and emerging voice technologies.
  • Help customers select and shape voice experiences based on tone, warmth, confidence, pace, energy, accent, personality, emotional range, conversational style, and brand alignment.
  • Advise customers on tradeoffs among voice technologies in experience quality, latency, control, language coverage, consistency, cost, and enterprise requirements.
  • Help customers determine when to use standard, customized, or branded voices, real-time generative voice models, or other emerging approaches.
  • Help customers evaluate how voice choices affect trust, brand perception, customer engagement, containment, and overall satisfaction.
  • Create repeatable workshops, evaluation frameworks, best practices, and methodologies so go-to-market teams and partners can deliver voice guidance at scale.
  • Partner with Design and Conversation Design teams to ensure voice, persona, language, and conversational behavior form a cohesive end-to-end experience.
  • Develop showcase customer experiences demonstrating best-in-class AI voice interactions.
  • Treat voice as a core customer experience discipline, not simply a speech technology problem.
  • Define success metrics for naturalness, latency, conversational fluidity, customer acceptance, engagement, task completion, satisfaction, and preference.
  • Establish benchmarking and testing programs using real-world customer experience scenarios across languages, accents, telephony environments, customer intents, and emotional situations.
  • Evaluate the complete conversational experience, including response timing, turn-taking, interruptions, pacing, tone, pronunciation, emotional appropriateness, and recovery from conversational errors.
  • Use customer research, production telemetry, competitive analysis, and direct customer feedback to continuously improve the experience.
  • Assess how model behavior, latency, conversational pacing, prosody, voice personality, and turn-taking affect customer experience.
  • Partner with Virtual Agents, Agentic AI, IVR, orchestration, and conversational experience teams to design voice as part of the end-to-end experience.
  • Establish measurable quality standards and ensure the voice portfolio meets or exceeds them.
  • Work with Sales, Solutions Consulting, Customer Success, Professional Services, Marketing, and Product Marketing to make voice a differentiated part of the Genesys value proposition.
  • Join strategic customer engagements where voice quality and AI experience are critical to winning, expanding, or retaining relationships.
  • Help go-to-market teams explain voice technology differences in customer-friendly terms and connect them to customer experience and business outcomes.
  • Build competitive positioning for Genesys voice capabilities and articulate differentiation.
  • Create demonstrations, customer workshops, competitive positioning, playbooks, reference architectures, and enablement that help field teams sell Genesys voice capabilities.
  • Partner with lighthouse customers to create differentiated voice experiences demonstrating Genesys Cloud capabilities.
  • Help customers navigate the voice AI landscape and position Genesys as a trusted advisor.
  • Bring customer, field, and competitive insights into the product roadmap.
  • Partner with Product Marketing to translate product capabilities into market narratives and launches.
  • Translate strategy into clear product requirements, priorities, and execution plans.
  • Work with Engineering and Design to deliver voice capabilities meeting customer needs and enterprise requirements.
  • Define launch criteria, readiness standards, adoption goals, and success metrics for new capabilities.
  • Prioritize short-term customer needs, strategic platform investments, technical debt, and emerging market opportunities.
  • Drive alignment across teams when customer experience spans different parts of the Genesys platform.
  • Use data and customer feedback to make tradeoffs and adjust roadmap priorities.
  • Balance customer experience, technical feasibility, commercial value, operational complexity, and long-term strategic differentiation in roadmap decisions.
  • Lead through a matrixed organization, setting direction and driving alignment without relying solely on formal authority.
  • Partner with Product, Engineering, Design, Research, AI, Infrastructure, Finance, Legal, Procurement, Marketing, and go-to-market organizations.
  • Influence product roadmaps and priorities outside the direct area of ownership when they affect the end-to-end voice experience.
  • Communicate technology choices, customer needs, competitive dynamics, tradeoffs, and recommendations to senior leadership.
  • Translate technical developments in voice AI into customer and business outcomes for technical and non-technical audiences.
  • Build relationships across internal teams and external partners and create clarity in a rapidly changing technology area.

Desired Qualifications

  • Direct experience with voice AI platforms, speech AI providers, generative voice, speech-to-speech models, multimodal models, or conversational AI.
  • Experience managing OEM technology partnerships or embedded third-party AI technologies.
  • Experience benchmarking or evaluating AI models or speech technologies.
  • Understanding of speech characteristics including prosody, pronunciation, pacing, intonation, emotional expression, accents, interruption handling, and conversational turn-taking.
  • Experience designing conversational or voice experiences for customer service.
  • Experience with CCaaS, contact center technology, Virtual Agents, IVR, or enterprise conversational AI.
  • Experience launching AI products globally across multiple languages and regions.
  • Familiarity with enterprise AI requirements including security, privacy, data residency, regulatory compliance, responsible AI, and accessibility.
  • Experience developing commercial or pricing strategies for AI-powered capabilities.

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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