Jobs at Genesys

Hunter-focused enterprise sales role responsible for building pipeline and closing net-new logos in greenfield territory. Own the full sales cycle, develop account and territory plans, engage C-suite and mid-level champions, manage partner relationships, and collaborate with Sales Engineering, Professional Services, and Marketing. Use Salesforce for forecasting and maintain an outbound prospecting motion to exceed quota.

Lead design, modernization, and global administration of executive and equity compensation programs for VP-level and above. Drive benchmarking, incentive and long-term reward strategies, partner with HR/Finance/Legal, evaluate program effectiveness, and influence governance and executive retention through data-driven analyses and stakeholder engagement.

Lead strategic finance for One Americas sales: financial and workforce planning, forecasting automation with AI tools, variance analysis, management reporting, and partnering with sales, HR and corporate FP&A to guide investment decisions.

Senior presales AI architect who designs and deploys production-ready AI solutions for contact center and CX use cases. Responsibilities include RAG and knowledge architecture design, contextual AI and orchestration, evaluation and observability frameworks, partner enablement and labs, technical escalation, demos and co-selling, integrations via REST APIs and MCP/A2A, and translating technical capabilities into business value while driving partner ecosystem scalability and product feedback.

Drive new business and revenue with enterprise customers by selling Genesys AI-powered CX and cloud contact center solutions. Own full sales cycle, build executive relationships, develop pipeline and territory plans, forecast revenue, and coordinate cross-functional teams to close complex, multi-million dollar deals. Travel up to 40%.

Lead Solutions Consulting for the US Central region, driving AI-first CX strategy and executive engagements. Coach senior consulting teams, shape enterprise account strategies, design scalable AI-enabled CX architectures, influence product priorities, and ensure solution quality and risk management to drive expansion, win rates, and long-term customer value.

Own and run the end-to-end global go-to-market planning cadence. Coordinate cross-functional planning workstreams, manage risks and dependencies, produce executive-ready materials, implement planning systems, manage vendors, drive tool adoption and change management, and continuously improve processes to increase revenue predictability and execution discipline across Sales, Finance, Marketing, and Operations.

Lead and execute demand generation operations and transformation projects across marketing systems, BDR operations, and go-to-market processes. Improve workflows, data quality, lead routing, campaign execution, and pipeline progression. Partner with DG, sales, and ops teams to drive process standardization, lead-to-cash improvements, and AI-enabled GTM initiatives while maintaining operational reliability in a global, fast-paced environment.

Lead strategy and governance for the Genesys Cloud monetization platform, ensuring usage metering, entitlement, rating, billing, auditability, and reporting. Partner with product, engineering, finance, and operations to define standards, requirements, observability, reconciliation, and controls. Drive revenue integrity, remediate monetization issues, and enable scalable monetization across products.

Support administration, analysis, and governance of executive (VP+) compensation and equity programs. Perform market benchmarking, grant tracking, dilution and scenario modeling, reporting, and compliance support. Partner cross-functionally with HR, Finance, Legal, Payroll, and Stock Administration to ensure accurate processing, documentation, and stakeholder communications.

Lead product strategy for foundational capabilities of Genesys Cloud, enhancing security, scalability, automation, and user experience for enterprises. Drive platform evolution from reactive to AI-assisted management by collaborating with cross-functional teams and engaging with customers.

The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.

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.

Drive outbound prospecting and build pipeline across strategic North American accounts. Research and engage senior stakeholders, qualify leads, partner with Strategic Account Executives on account-based strategies, book meetings, and manage pipeline and activity in Salesforce to meet regional revenue and KPI targets.

Drive outbound prospecting and pipeline generation across strategic North American accounts. Engage mid-to-senior stakeholders, qualify inbound and marketing leads, and partner with Strategic Account Executives to execute account-based strategies. Maintain pipeline and activity tracking in Salesforce, articulate Genesys Cloud value, and meet KPIs for meetings booked, pipeline creation, acceleration, and conversion.

Lead a portfolio of enterprise strategic accounts as primary customer contact. Drive adoption, retention, and advocacy through cross-functional coordination, executive reviews, success plans, health metric monitoring, and stakeholder management to deliver business value.

Lead global SEO and Generative Engine Optimization strategy to increase organic visibility and AI search discoverability. Plan and execute technical SEO, content optimization, keyword and entity research, site architecture and crawlability improvements, and measurement frameworks across enterprise platforms. Partner with cross-functional teams, mentor others, and build executive reporting to drive web engagement, AI search readiness, and business pipeline growth.