Genesys

HQ
Menlo Park
Total Offices: 4
6,774 Total Employees
Year Founded: 1990

Jobs at Genesys

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Recently posted jobs

2 Days AgoSaved
In-Office or Remote
5 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
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.
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Own enterprise sales for AI-powered customer experience solutions across state and local government accounts in Illinois, Minnesota, and Wisconsin. Responsibilities include territory planning, pipeline development, complex MEDDPICC sales cycles, executive relationship building, public-sector procurement navigation, partner collaboration, contract negotiation, business reviews, and customer adoption. The role requires extensive government-focused enterprise sales experience and travel of at least 25% within the assigned region.
One Month AgoSaved
Remote
5 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
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.
One Month AgoSaved
Remote
2 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
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.
2 Months AgoSaved
In-Office or Remote
5 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Leads content marketing for Customer Success, Professional Services, and Orchestrators. Develops web copy, blogs, thought leadership, executive and analyst presentations, sales materials, customer stories, video scripts, and field content. Translates complex AI, technology, and services concepts into compelling narratives, supports campaigns, guides creative partners, equips sales teams, and measures content performance. This hands-on role collaborates with executives, subject matter experts, customers, campaigns, and program leaders to increase visibility, engagement, and adoption.
2 Months AgoSaved
Remote
2 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
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.
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
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.