Genesys

Consultant

• Partner with senior stakeholders to define priorities, align on strategy, and guide decision-making
• Synthesize qualitative and quantitative inputs into clear transformation strategies, phased roadmaps, and executive-ready recommendations tied to measurable outcomes
• Lead enterprise- and business-level sessions with executives and end users to serve as a trusted strategic advisor, focused on priorities, trade-offs, and decisions (not status updates)
• Develop and implement change management strategies and all associated change management plans to support the adoption of Genesys Cloud, including communication, vision and value, change impact assessment, training, change champion engagement, and leadership engagement
• Guide clients through the people side of transformation to ensure lasting impact
• Track and report on the progress of change initiatives, providing regular updates and insights to clients and internal teams to ensure successful implementation
• Develop customized training strategies and programs tailored to client needs, including analyzing learning needs, designing effective training solutions and curriculum, developing high-quality learning content, and delivering training that enhances employee performance and supports organizational goals
• Create engaging learning experiences (ILT, virtual, eLearning, blended) through collaboration with SMEs and business stakeholders
• Design instructional materials using adult learning principles, learning science, and organizational best practices, ensuring content is accessible, inclusive, accurate, and aligned with standards
• Manage multiple client engagements simultaneously in a billable, utilization-based model
• Partner cross-functionally with Sales, Product, and Delivery teams
• Stay abreast of industry best practices and emerging trends in change management and training, and apply this knowledge to enhance methodologies
• Contribute to client success from early advisory through post-go-live adoption

Senior CX Advisory Consultant

• Drive the successful deployment and evolution of AI-powered customer experience solutions that improve how organizations engage with their customers
• Focus on designing, implementing, and optimizing Genesys Cloud solutions that enable automation, personalization, and scalable interaction management
• Own end-to-end technical delivery, from architecture through continuous improvement, ensuring solutions align with both customer needs and business objectives
• Deliver end-to-end implementation and optimization of Genesys Cloud solutions that enhance customer experience performance and scalability
• Lead technical strategy and execution for complex engagements, ensuring alignment between customer objectives and solution architecture
• Design and deploy AI-enabled solutions that improve automation, personalization, and interaction quality across customer journeys
• Translate business requirements into scalable, high-impact technical solutions leveraging AI, analytics, and orchestration capabilities
• Develop and refine prompts that increase accuracy, consistency, and business relevance of AI-driven customer interactions
• Implement and optimize conversational AI, virtual agents, predictive models, and analytics to drive measurable business outcomes
• Collaborate with cross-functional teams to ensure successful delivery, quality assurance, and long-term solution adoption
• Evaluate and improve system performance through testing, troubleshooting, and continuous optimization initiatives
• Enable stakeholders through technical training and guidance to maximize platform adoption and value realization
• Advise on best practices for AI adoption, prompt engineering, responsible AI, and scalable integration patterns

Senior PS Consultant

Human Resources

• Lead, coach, and develop a team of HR professionals across LATAM, ensuring consistent, compliant, and high-impact HR delivery
• Own and drive execution of regional people strategies across the full employee lifecycle (hire → develop → retain → engage)
• Ensure alignment between global HR programs and local market realities
• Partner with Centers of Excellence (Total Rewards, Talent Acquisition, Talent Development, People Analytics) to localize and operationalize global programs
• Drive operational excellence, governance, and scalability of HR practices across a diverse, multi-country region
• Serve as a trusted advisor to the VP Sales LATAM and leadership team
• Align people strategy to SaaS GTM priorities
• Partner with leaders to address commercial challenges such as scaling high-performing sales teams
• Diagnose organizational needs using data, insights, and external SaaS benchmarks, and co-create solutions

Director HR – LATAM

Director

• Own the Experience Acceleration Ecosystem
• Serve as the executive owner of all demo platforms, including Genesys Demo, and broader pre-sales acceleration tools supporting Solutions Consultants and Partners globally.
• Define and evolve a scalable platform and infrastructure strategy spanning interactive demo environments, digital demo distribution, and reusable technical engagement assets.
• Ensure alignment and integration across live demo experiences, digital engagement tools, and supporting SC systems to create a cohesive ecosystem.
• Establish governance, lifecycle management, performance standards, and scalability frameworks across the experience acceleration stack.
• Develop measurable KPIs tied to adoption, efficiency, reuse, digital engagement effectiveness, and technical win impact.
• Define and champion a forward-looking vision for AI-native demo and technical engagement experiences that adapt dynamically to industry, persona, and opportunity context.
• Lead the continued evolution of Genesys Demo and the broader engagement ecosystem across live, interactive, and digital channels.
• Design and implement an intelligence layer across reusable demo assets and supporting SC tools — enabling guided flows, contextual personalization, and scalable expertise.
• Build modular, composable architectures that accelerate creation of verticalized, partner-ready, and persona-based experiences.
• Develop and communicate a multi-year roadmap aligned to product innovation, AI advancements, sales acceleration priorities, and market differentiation.
• Drive modernization initiatives including automation-first provisioning, reusable frameworks, scalable deployment models, and improved digital engagement capabilities.
• Lead, build, and inspire a high-performing team focused on demo platforms, technical enablement, and experience acceleration capabilities.
• Partner directly with regional Solutions Consulting and Partner leaders to introduce new capabilities and drive global adoption. Act as the strategic bridge between field teams and Product/Engineering to ensure experience acceleration capabilities evolve alongside product innovation.
• Provide executive leadership with regular reporting on platform performance, adoption trends, scalability improvements, and measurable business impact.

Senior Director, Experience Acceleration

AI Engineer

• Architect and lead the development of agentic AI systems that automate and augment finance workflows (e.g., forecasting, reporting, and decision support).
• Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns (e.g., RAG, model chaining, dynamic prompting).
• Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutions.
• Establish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputs.
• Design fault-tolerant, observable agent systems with clear failure modes and recovery strategies.
• Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments.
• Develop interpretable, production-grade models that drive retention strategies and financial planning.
• Define and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detection.
• Translate complex predictive insights into actionable recommendations for finance and business leaders.
• Design and build scalable AI/ML systems with a strong emphasis on software engineering best practices (modular design, APIs, CI/CD, testing).
• Lead end-to-end development from concept to production, ensuring robustness, scalability, and maintainability.
• Develop and integrate AI services into internal applications and workflows, including light front-end/back-end components where needed.
• Drive adoption of modern tooling (e.g., containerization, orchestration, cloud-native architectures).
• Establish and enforce MLOps best practices for deployment, monitoring, retraining, and governance of AI systems.
• Ensure systems meet enterprise standards for security, compliance (e.g., SOX), and auditability.
• Develop advanced feature engineering strategies capturing behavioral, financial, and temporal signals.
• Set technical direction for AI/ML initiatives across the finance organization.
• Lead complex, cross-functional projects and mentor other data specialists.
• Work alongside stakeholders across finance, IT, and product to adopt AI-driven solutions.
• Contribute to long-term AI strategy, identifying opportunities to drive efficiency and innovation.

Principal Applied AI Engineer, Finance

Software Engineer

• Drive the design and delivery of scalable, cloud-native data and application solutions that directly enhance customer experience outcomes across global enterprises
• Influence how data pipelines, APIs, and intelligent models power real-time decisioning and operational efficiency for customer-facing platforms
• Operate at the intersection of data engineering, application development, and cloud architecture
• Partner with global stakeholders to solve complex business challenges
• Own end-to-end development and optimization of data pipelines, ensuring scalability, reliability, and performance across cloud environments
• Design and build serverless and cloud-native applications on AWS that support real-time data processing and customer experience platforms
• Drive integration of REST APIs and microservices to enable seamless communication between distributed systems
• Partner with business stakeholders to translate requirements into high-impact technical solutions that improve customer outcomes
• Develop and enhance data models and analytical solutions that support reporting, forecasting, and decision-making
• Collaborate with Professional Services and Engineering teams to deliver customer-specific implementations and influence product improvements
• Lead troubleshooting and resolution of production issues, ensuring minimal disruption and continuous service improvement
• Enable knowledge transfer and best practices adoption across internal teams and customer organizations

Senior Developer

General Counsel

• Provide legal advice on labor and employment related litigation, laws, regulations, rules, and orders for the Company on a global basis.
• Provide day-to-day advice to assist the Company in managing and mitigating labor and employment risks.
• Serve as a subject matter expert for employment matters globally.
• Partner closely with Human Resources and People Leaders to provide day-to-day legal guidance regarding the full employee lifecycle.
• Collaborate with Talent Acquisition on hiring practices and onboarding issues.
• Draft, review, and negotiate separation, severance, and release agreements.
• Train managers and HR professionals on employment law topics and best practices.
• Manage and oversee employment-related litigation, agency charges, audits, and investigations.
• Conduct and/or oversee internal investigations and advise on appropriate remedial action.
• Support merger and acquisition transactions.