Genesys

Revenue Operations

• Support the team in maintaining and operationalizing Genesys Revenue and Accounting policies in compliance with ASC 606 and US GAAP requirements, including translating policy into practical guidance and identifying areas for enhancement.
• Translate changes in accounting standards, interpretations, and business practices into updated policies and practical operating procedures.
• Evaluate new products, business models, and contract structures, then translate accounting conclusions into clear, operational guidance for downstream teams.
• Develop and maintain process documentation for all accounting memorandums, ensuring documentation is audit-ready and aligned with company policy.
• Coordinate with our external auditors for the quarterly reviews and year-end audits, including discussing technical revenue accounting issues.
• Strengthen month-end and quarter-end close activities by supporting financial reporting for complex deals and ensuring accounting outcomes are complete and well-documented.
• Partner with Deal Desk, Sales, Product, Legal, and Finance to assess revenue implications of complex transactions and support timely deal execution.
• Perform reviews of detailed technical accounting analysis on complex and financially significant arrangements and calculate and determine appropriate revenue recognition under ASC 606.
• Review contract assessments, revenue calculations, and memos prepared by junior team members to ensure accuracy, consistency, and adherence to policy.
• Provide ongoing feedback and guidance to improve the quality and efficiency of team deliverables.
• Identify and implement opportunities to leverage AI and automation to improve consistency, efficiency, and scalability across revenue accounting processes.
• Drive adoption of AI-enabled tools for contract analysis, memo drafting, and deal review support across the team.
• Remain flexible and responsive to evolving priorities, taking on additional responsibilities as business needs change.

Revenue Manager – Technical Accounting

Artificial Intelligence

• Lead AI Transformation initiatives, ensuring customer success throughout the consulting lifecycle, from pre-sales activities to delivery and post-implementation support.
• Develop tailored AI strategies and solutions by understanding customers’ business challenges, goals, and operational contexts.
• Act as a trusted advisor for customer experience (CX) and AI innovation, defining and delivering measurable KPIs and strategic roadmaps.
• Facilitate design thinking workshops and work sessions to define AI opportunities, solutions, and transformation roadmaps.
• Analyze data and customer processes to provide strategic AI recommendations that drive measurable impact.
• Establish clear success metrics and measurement frameworks to quantify business outcomes and value realization.
• Translate results into compelling customer and internal success narratives that demonstrate measurable impact.
• Collaborate with Genesys product, engineering, and delivery teams to ensure the seamless integration of AI solutions into the Genesys platform.
• Build and refine repeatable AI advisory and transformation frameworks, with an emphasis on scalable and industry-specific solutions.
• Identify and assess emerging trends in AI technologies and provide thought leadership to shape Genesys’s AI strategy and offerings.
• Partner with cross-functional teams (e.g., Product, Sales, Marketing) to position Genesys’s AI capabilities as a competitive differentiator in the market.
• Contribute to the creation of sales collateral, thought leadership materials, and AI success stories to drive business growth.
• Support RFP responses, SOW development, and other pre-sales activities to drive the adoption of AI solutions.
• Identify expansion opportunities within existing engagements by linking measurable outcomes to additional AI use cases and strategic initiatives.
• Serve as a subject matter expert (SME) on AI transformation, delivering actionable insights and recommendations to executive stakeholders.
• Collaborate with internal and external stakeholders to champion ethical AI practices, ensuring solutions are secure, compliant, and aligned with customer needs.
• Actively contribute to the Genesys community and industry forums, sharing best practices and innovative approaches to AI in CX.

AI Transformation Engagement Lead, CX Advisory

Manager

• The Partner Experience Manager is responsible for ensuring Genesys and our five lead Global Systems Integrator (GSI) partners consistently design, scope, govern, and deliver successful customer engagements focusing on repeatable, high-quality outcomes that strengthen partner trust and improve Genesys differentiation.
• Build joint delivery approaches, own the success plan for top pursuits, and create end-to-end visibility across Genesys and GSI delivery activity to reduce friction, avoid conflict, and increase win-rates.
• Prioritize top strategic pursuits and ensure they are delivery-ready prior to closing.
• Create repeatable delivery models and governance structures that scale across partners.
• Monitor partner practice health and close internal visibility gaps.

Partner Experience Manager – GSIs

Director

• Drive execution of the enterprise workforce capability strategy by translating skills, learning, and AI priorities into scalable programs that improve workforce readiness
• Lead the evolution of learning platforms and capability technologies to deliver personalized, high-impact development experiences that increase engagement and skill progression
• Shape how AI-enabled tools enhance learning, knowledge access, and career development to improve productivity and employee experience
• Influence platform investment decisions by evaluating business impact, scalability, and long-term capability alignment across the learning ecosystem
• Build and manage strategic vendor partnerships that deliver measurable value, innovation, and alignment with enterprise capability goals
• Partner across HR, IT, Procurement, Finance, Legal, and business leaders to align workforce capability initiatives with enterprise strategy and operating priorities
• Establish governance, planning rhythms, and decision frameworks that improve execution discipline and cross-functional alignment
• Develop measurement frameworks that link learning, platform adoption, and AI enablement to business performance, workforce agility, and internal mobility outcomes
• Translate complex technology and AI concepts into practical, business-relevant solutions that drive adoption and sustained impact

Director, Workforce Capability

Program Manager

• Design a global onboarding ecosystem aligned to business priorities and AI acceleration
• Create structured 30-60-90 day pathways tied to measurable performance outcomes
• Engineer a frictionless journey from offer acceptance through first-year integration
• Hold a relentless "new hire lens" and fix friction fast
• Integrate AI tools and automation into onboarding workflows
• Build scalable frameworks with clear ownership and accountability
• Drive alignment without formal authority
• Define KPIs tied to ramp time, engagement, and retention

Onboarding Program Manager

• Drive and implement Workday Adaptative Planning’s capabilities for the sales planning and territory & quota setting process.
• Work side-by-side with external implementation vendors to educate them on our process, critical planning elements, and ensure requirements are addressed as part of the onboarding process.
• Curate views within the Sales Planning tool with Regional Sales Operations to facilitate analysis in support of the fiscal year planning cycle.
• Interpret, validate, and analyze data outputs by leveraging dashboarding, modeling, and other data visualization techniques.
• Develop data products and views that can be leveraged for planning and target setting within the Revenue Operations team as well as other teams across Genesys.
• Manage and facilitate regional reporting requirements including but not limited to; Work to remove duplication of effort and ensure we are leveraging centrally produced dashboards and reports where possible.
• Work with the planning leads to ensure business reporting requirements are captured and included in global reporting initiatives.
• Support Global operations in reconciling and ensuring consistency from various data sources and assist in driving the automation of analytics in support of planning.
• Provide insights into effectiveness of specific programs and investments and report progress against those assumptions laid out in planning through the budget and bookings-based outcomes.
• Work with Global Planning Lead, to drive Globally Consistent Cadence planning schedule; including but not limited to: Understanding potential hierarchy structural changes, Incorporation of strategic initiatives into the planning framework, Create clear and consistent vocabulary leveraged cross functionally, Integration of a globally consistent capacity model, Ensure our outputs and insights are aligned to the corporate strategic pillars, aligned to finance’s budget process and frameworks, and investment trade-off implications are clear to stakeholders.
• Coach, enable, and work with stakeholders to ensure they can derive insights and drive action from produced analytics.
• A willingness to learn new software and tools to enable better decision making by sales business partners.
• Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly.
• Responsible for managing various projects, demonstrating coachability and adaptability to stakeholder preferences.

Global Planning Manager

QA Engineer

• Drive end to end quality strategy for a high throughput, event driven routing service, ensuring reliability and accuracy across global deployments
• Design and implement automated testing solutions across REST APIs, event streaming pipelines, in memory data stores, and cloud persistence layers
• Contribute production level Java code to improve system functionality, testability, and overall performance
• Build and maintain comprehensive system and integration tests that validate full conversation routing flows across multiple regions
• Investigate complex system behaviors and resolve defects by analyzing failures across distributed, multi tenant environments
• Influence design decisions by identifying risks early and advocating for scalable, testable architecture
• Collaborate with cross functional teams to standardize testing practices, improve tooling, and drive quality consistency
• Strengthen CI and CD pipelines by integrating robust automated validation and improving feedback loops for engineering teams

Software Developer – QAOps

Digital Marketing

• own the digital marketing strategy and execution for the region
• Develop and execute the end-to-end digital marketing strategy aligned to Genesys business, pipeline and regional objectives
• Localize and adapt global campaigns for regional relevance and market alignment
• Plan and execute multi-channel digital campaigns across paid search, paid social, display, programmatic, web and email
• Build account-based digital engagement programs and leverage intent data where available
• Oversee content localization, including web, email, creative assets and customer stories for regional relevance
• Monitor, analyze and report on campaign performance using analytics tools
• Manage digital marketing budgets, ensuring efficient spend, forecasting and ROI improvement
• Work on SEO strategy for Asia and optimize website under the APAC and central team’s guidance
• Arrange webinars and promote
• Build account targeted programs for Asia
• Manage relationship and performance of local digital agencies
• Localize and build email/nurture streams in line with global requirements
• Manage local blog and organic social channels
• Performance review of programs against marketing KPIs for Asia

Digital Marketing Manager

Full-stack Engineer

• Own the end to end design, development, testing, and deployment of features within a high scale routing microservice
• Drive improvements to system performance, scalability, and reliability across a globally distributed cloud platform
• Resolve complex technical challenges by analyzing production issues and implementing durable, long term solutions
• Influence architectural decisions by advocating for maintainability, observability, and automation across services
• Review and elevate code quality across the team, ensuring alignment with engineering best practices and platform standards
• Collaborate with cross functional teams to deliver cohesive platform capabilities and align on technical direction
• Strengthen platform resilience by proactively identifying risks and improving system behavior under load
• Participate in on call rotations to support service reliability and continuously improve incident response mechanisms

Senior Software Developer

Sales

• Lead and manage a team of sales professionals to achieve sales targets and drive revenue growth.
• Develop and implement effective sales strategies, coaching and mentoring the sales team, and fostering a high-performance sales culture.
• Work closely with other departments, such as marketing and operations, to align sales objectives with overall business goals.

Senior Manager, Mid-Market Sales

Account Executive

• Responsible for driving revenue growth and bringing in net new business from prospects in the Healthcare industry, in addition to managing existing customers.
• Create and nurture strategic relationships with some of the largest companies.
• Bring innovative solutions to clients.
• Own and develop your territory.

Account Executive, Mid-Market Healthcare

Operations

• Serve as a central coordinator for Brand team operations, ensuring alignment across priorities, timelines, and deliverables
• Manage and coordinate complex calendars across multiple time zones
• Support prioritization and workflow tracking to keep initiatives moving forward
• Maintain organization of key documents, timelines, and team resources
• Plan, organize, and execute complex meetings (including QBRs, leadership reviews, and team sessions)
• Coordinate logistics including scheduling, agendas, materials, venues, and technology
• Provide day-of-meeting support and ensure seamless execution
• Facilitate coordination of forward-looking plans, including QBR follow-ups and cross-team action tracking
• Help drive team engagement by supporting offsites, team events, and recognition moments
• Facilitate and coordinate the development of a forward-looking plan to adopt and optimize AI across the Brand organization
• Partner with cross-functional stakeholders to identify opportunities for AI-driven efficiencies and enhanced workflows
• Track progress of AI-related initiatives and ensure alignment with broader brand priorities
• Support change management efforts by helping document processes, share best practices, and drive adoption
• Oversee procurement and scope of work (SOW) support across vendors
• Manage global travel arrangements and prepare detailed itineraries
• Handle expense reporting and monthly reconciliation of credit card statements
• Support budget tracking, timelines, and documentation
• Assist with onboarding coordination and team-wide processes
• Partner with internal stakeholders including Legal, HR, Finance, and leadership teams to support team and organizational goals
• Build strong relationships across all levels of the organization
• Identify opportunities for improved coordination and operational efficiency

Brand Operations Specialist

AI Engineer

• Design end-to-end AI systems for customer experience use cases.
• Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers.
• Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
• Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required.
• Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data.
• Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness.
• Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
• Establish AI evaluation frameworks and quality measurement strategies.
• Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact.
• Create test sets, evaluation methodologies, and feedback loops to continuously improve performance.
• Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
• Engineer contextual AI experiences that leverage real-time data and conversation state.
• Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals.
• Optimize context management and prompt structure to maximize relevance while managing token limits and response quality.
• Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
• Design for scalability, latency, and cost efficiency in enterprise environments.
• Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale.
• Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions.
• Ensure designs meet enterprise expectations for reliability and responsiveness.
• Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
• Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
• Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.

Senior AI Architect

• Design end-to-end AI systems for customer experience use cases.
• Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers.
• Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
• Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required .
• Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data.
• Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness.
• Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
• Establish AI evaluation frameworks and quality measurement strategies .
• Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact.
• Create test sets, evaluation methodologies, and feedback loops to continuously improve performance.
• Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
• Engineer contextual AI experiences that leverage real-time data and conversation state .
• Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals.
• Optimize context management and prompt structure to maximize relevance while managing token limits and response quality.
• Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
• Design for scalability, latency, and cost efficiency in enterprise environments .
• Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale.
• Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions.
• Ensure designs meet enterprise expectations for reliability and responsiveness.
• Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
• Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
• Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria , and to highlight the differentiated value of Genesys AI.
• Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.
• Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
• Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
• Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.
• Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy.

• Design end-to-end AI systems for customer experience use cases.
• Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers.
• Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
• Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required .
• Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data.
• Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness.
• Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
• Establish AI evaluation frameworks and quality measurement strategies - Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact.
• Create test sets, evaluation methodologies, and feedback loops to continuously improve performance.
• Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
• Engineer contextual AI experiences that leverage real-time data and conversation state - Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals.
• Optimize context management and prompt structure to maximize relevance while managing token limits and response quality.
• Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
• Design for scalability, latency, and cost efficiency in enterprise environments - Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale.
• Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions.
• Ensure designs meet enterprise expectations for reliability and responsiveness.
• Support Partner Development Lab Co-created Configurations : Work with Genesys Strategic Technology partners and GSI partners to build, refine, and optimize their Genesys Cloud development lab environments with a focus on AI.
• Technical Escalation: Serve as a technical escalation point for difficult or complex integration issues that arise during partner Pre-Sales cycles. Provide advanced troubleshooting and solution development to resolve roadblocks effectively.
• Mentor Genesys Partner’s Solution Consultant teams and act as a technical escalation point for complex technical issues.
• Technical Field Readiness Assistance: Work with GSI and Genesys Strategic Technology partners, Genesys Product Management, Genesys Product Marketing, and Genesys Enablement teams to assist with technical field readiness. This may involve building assets, shared demo environments, videos, and assisting with RFx’s.
• Support Strategic Pre-Sales Engagements: Co-sell with partners and Genesys Account Teams (when requested) in high impact opportunities by leading technical discovery, solution design, demonstrations, workshops, and value articulation.
• Establish best practice frameworks: Create and maintain structured knowledge-sharing model across partners and internal teams including demos, success stories, and reusable assets. Leverage expert-level knowledge of Genesys AI capabilities — including predictive AI and Agentic Virtual Agents —to articulate and demonstrate product value to customers and prospects. Design and deploy AI prototypes in sandbox and/or partner and customer development environments to validate use cases, integrations, latency, and success criteria , and to highlight the differentiated value of Genesys AI. Support partners, Genesys account teams, and professional services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation through hands-on configuration and building of the production pilots. Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions. Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, deep-dive demonstrations, coaching, and scalable technical content. Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements. Support partners in influencing CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy.

Revenue Manager – Technical Accounting

AI Transformation Engagement Lead, CX Advisory

Partner Experience Manager – GSIs

Director, Workforce Capability

Onboarding Program Manager

Global Planning Manager

Software Developer – QAOps

Digital Marketing Manager

Senior Software Developer

Senior Manager, Mid-Market Sales

Account Executive, Mid-Market Healthcare

Brand Operations Specialist

Senior AI Architect

Senior AI Architect

Senior Partner AI Architect