Jobs at Genesys

Lead and develop a regional BDR team to generate and accelerate enterprise pipeline across the West region. Own pipeline strategy, coaching, enablement, forecasting, and conversion improvements. Partner with Sales and Marketing on account-based and regional GTM, implement data-driven prospecting using CRM and sales engagement tools, and build repeatable playbooks and talent pipelines into sales and technical roles.

Provide advanced IT support and device lifecycle management across North America: troubleshoot hardware, software, network and AV issues; manage onboarding/offboarding, inventory in ServiceNow; support Intune, AD/Azure AD, Microsoft 365, mobile devices, and meeting-room technologies; coordinate with L3/L4 teams and participate in on-call and on-site support as needed.

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 global strategy and execution for flagship events and executive engagement programs to drive pipeline, revenue, and account growth. Build scalable playbooks, AI-driven personalization, analytics and attribution frameworks, and cross-functional alignment with Sales, Customer Success, Product Marketing, and Executive Leadership. Manage global teams, budgets, vendors, and partnerships to elevate thought leadership, customer advocacy, and enterprise adoption.

Lead the Sales Transformation team focusing on AI strategy, workflow management, CRM migration, and sales technology optimization. Drive change management and stakeholder engagement while ensuring effective team leadership across multiple initiatives.

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.

The Senior Revenue Accountant will ensure compliance with ASC 606 for SAAS revenue, prepare journal entries, reconcile accounts, and support monthly close processes and strategic initiatives.

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.

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.

The VP, Global Sales Operations leads strategic initiatives to enhance sales performance, develop high-performing teams, and leverage AI for operational efficiency, partnering with cross-functional leadership to align with growth goals.

Lead Professional Services revenue and enterprise-scale CX transformation across strategic accounts. Drive services pipeline, design outcome-driven AI-enabled proposals, align cross-functional teams, negotiate deals, ensure delivery alignment, and expand platform adoption to realize measurable business outcomes and long-term customer retention.

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.

Own and evolve Zuora Billing within the Quote-to-Cash ecosystem: define roadmap and requirements, partner with Finance, Revenue, Operations and Engineering, drive delivery from intake through adoption, ensure billing lifecycle support and compliance, manage integrations (Salesforce, Zuora Revenue, Workday, ServiceNow, AWS), resolve production issues, and improve processes, automation, and data quality.

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.

Lead global partner strategy and programs to drive partner-sourced revenue and scale. Design partner tiering, incentives, KPIs, and compliance; run a virtual partner support center; own partner portal and partner tech stack; align stakeholders across Sales, Marketing, Finance and Ops; use analytics and governance to measure performance; and build and develop a high-performing, globally distributed partner organization.