Jobs at Genesys

Leads competitive and market intelligence for AI, CX, CCaaS, and WEM markets. Analyzes competitor strategy, pricing, partnerships, win/loss data, customer insights, and market shifts to produce recommendations for Product, Marketing, and Sales. Creates battlecards, competitive plays, briefings, and enablement materials, while using AI tools to accelerate research and synthesis. Measures intelligence impact on deals and supports strategic decisions across the organization.

Leads enterprise AI transformation initiatives for strategic customers, partnering with executives to define AI strategies, roadmaps, architectures, governance models, and measurable business outcomes. Designs scalable solutions involving agentic AI, virtual agents, copilots, automation, data, and omnichannel customer experience technologies. Guides implementations from experimentation through production, coordinates cross-functional teams, drives adoption and optimization, establishes responsible AI practices, and contributes to Genesys thought leadership and product strategy.

Leads enterprise AI transformation initiatives for strategic customers, advising executives, designing scalable AI architectures, and guiding deployments from experimentation through production and adoption. The role covers Agentic AI, customer experience orchestration, cloud platforms, integrations, responsible AI governance, value realization, and continuous optimization. It also develops reusable frameworks, establishes AI Centers of Excellence, coordinates cross-functional teams, and influences Genesys AI strategy through customer insights and industry thought leadership.

Leads enterprise AI transformation for strategic customers, advising executives, defining AI roadmaps, and designing scalable solutions across agentic AI, automation, analytics, cloud, and customer experience platforms. Guides initiatives from experimentation through production and adoption, establishes governance and responsible AI frameworks, drives measurable business outcomes, and coordinates cross-functional delivery teams. The role also develops reusable methodologies, supports AI Centers of Excellence, influences product strategy, and represents Genesys through executive briefings, thought leadership, and industry engagement.

Designs and delivers production-ready AI solutions for strategic enterprise customers using Genesys Cloud, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization while advising executives and technical leaders. The role develops reference architectures, integrates CRM, ERP, cloud, and data ecosystems, supports responsible AI practices, and helps customers scale agentic orchestration and omnichannel customer experience solutions.

Develop and maintain global demo web applications, fictional customer sites, Genesys Cloud demonstrations, and end-to-end API integrations. Manage AWS infrastructure, DevOps automation, CI/CD, infrastructure as code, monitoring, and cost optimization. Integrate AI and LLM technologies into workflows and demos. Troubleshoot escalated environment issues and collaborate with Sales Engineering, Product, Engineering, Marketing, and Partners to deliver reliable, compelling demonstrations.

Build AI-assisted UX workflows, prototypes, and integrations that improve design operations. Translate technical capabilities into practical guidance for designers and researchers, document effective AI practices, connect tools through APIs and MCPs, and determine when automation is appropriate. Partner with Design Systems, Product, Engineering, and UX teams to reduce manual work and scale repeatable design practices.

Leads UX strategy and research for conversational AI across voice and digital experiences. Defines interaction principles, frameworks, and end-to-end journeys spanning dialogue, voice behavior, automation, human handoffs, and agentic systems. Partners with product, engineering, research, data science, and AI teams to translate technical capabilities into intuitive experiences, influence senior stakeholders, analyze real interaction data, mentor designers, and improve consistency, trust, and effectiveness across enterprise products.

Lead enterprise adoption of Agentic AI across Genesys Cloud, designing scalable architectures, integrations, data flows, proofs of concept, and production solutions. Translate business objectives into measurable customer experience and operational outcomes, advise executive stakeholders, optimize AI solutions after launch, and promote responsible AI practices involving security, privacy, HIPAA, and PCI compliance.

Generates outbound pipeline across Higher Education and Academic Medical Center accounts through multichannel prospecting, account research, stakeholder engagement, lead qualification, and account-based strategies. Partners with Account Executives to identify new logo, cross-sell, and upsell opportunities; presents Genesys Cloud and CX solutions; tracks activities and opportunities in Salesforce; and meets pipeline, meeting, and conversion KPIs.

Leads the architecture and delivery of AI-powered digital customer experience solutions for enterprise clients. Designs Genesys Cloud integrations, digital channels, virtual agents, copilots, knowledge systems, and workflow automation. Acts as the technical authority for complex engagements, leads architecture workshops, advises senior stakeholders, ensures scalability and security, mentors consultants, supports presales, and develops reusable implementation assets and reference architectures.

Lead enterprise AI transformation as a strategic advisor and architect: define AI strategy, design scalable Agentic AI and orchestration solutions, integrate LLMs and enterprise systems, guide customers from experimentation to production, ensure governance and responsible AI, drive KPI-based value realization and continuous optimization across large organizations.

Leads global product marketing, executive messaging, customer growth marketing, AI thought leadership, product positioning, launches, go-to-market strategy, events, customer evidence, and industry engagement. Builds and develops teams while translating complex enterprise software, cloud, AI, automation, and platform capabilities into compelling customer and business value. Partners with product, engineering, sales, and customer success leaders to drive adoption, expansion, and market differentiation.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.

Own the strategy, definition, and delivery of AI-powered messaging experiences across Web Messaging, Mobile Messaging, WhatsApp, and other channels. Translate customer problems into scalable generative AI, conversational AI, and automation products; use customer insights and production data to prioritize investments; and influence roadmaps across AI, Messaging, Digital Platform, Engineering, Design, Sales, and Customer Success. Drive use cases from experimentation through production adoption and enterprise scale.

Lead development of full-stack CRM integrations and cloud-native services across Salesforce, ServiceNow, Zendesk, telephony providers, and AWS. Build scalable UIs, REST APIs, event-driven systems, automated tests, and infrastructure. Improve reliability, performance, monitoring, alerting, and incident response while participating in on-call operations. Influence architecture, review code, mentor engineers, troubleshoot production incidents, and apply AI-assisted development practices responsibly.

Leads Genesys’ AI product marketing strategy, including positioning, messaging, competitive differentiation, go-to-market programs, launches, customer proof, analyst engagement, and seller enablement. Partners with Product, Engineering, Sales, Customer Success, and Marketing to translate complex AI capabilities into compelling enterprise value. Represents Genesys externally as an AI thought leader and builds and develops a high-performing product marketing team while measuring impact across pipeline, adoption, seller effectiveness, competitive wins, and market perception.

Lead design, build, and scaling of Agentic AI and industry-specific solution accelerators on Genesys Cloud. Develop reusable multi-agent workflows, RAG-based knowledge orchestration, integrations with enterprise systems, prototypes, and production-grade AI applications. Provide technical leadership, mentor engineers, collaborate with product and industry SMEs, and deliver repeatable solution blueprints to accelerate deployment and time-to-value.

Lead and deliver enterprise AI-powered customer experience solutions: architect, implement, support and operate Genesys Cloud AI/experience orchestration for large customers, driving AI production adoption and operational excellence across engagements.

The Senior Revenue Accountant will support SaaS revenue recognition, ensuring compliance with ASC 606, validating data accuracy, preparing journal entries, and assisting in audits.