Jobs at Genesys

The Talent Acquisition Partner manages end-to-end recruiting for assigned business units, including workforce planning, sourcing, candidate screening, interviews, offer negotiation, and hiring-manager partnership. The role focuses on recruiting technical and cloud talent, developing passive candidate pipelines, improving recruiting strategies and candidate experience, maintaining ATS and EEO compliance, managing agencies, and supporting university recruiting and HR projects.

Manage provisioning, activation, onboarding, compliance validation, troubleshooting, and operational support for global SMS and digital messaging services. Coordinate with customers, carriers, aggregators, vendors, Product, Engineering, and Support teams to resolve delivery and throughput issues. Maintain documentation, track vendor escalations, improve onboarding workflows, and ensure messaging programs meet TCPA, CTIA, carrier, and regional regulatory requirements.

Lead enterprise adoption of Agentic AI across Genesys Cloud, designing scalable architectures, integrations, data flows, proofs of concept, and production solutions. Translate business objectives into measurable customer experience and operational outcomes, advise executive stakeholders, optimize AI solutions after launch, and promote responsible AI practices involving security, privacy, HIPAA, and PCI compliance.

Leads strategic enterprise customer partnerships, driving adoption, retention, expansion, advocacy, and measurable value realization for AI-powered customer experience solutions. Owns customer success plans, executive business reviews, risk mitigation, and account growth while coordinating Sales, Services, Renewals, and Onboarding teams. Translates technical capabilities into business value and influences customer and territory strategies through data-driven insights.

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.

The Customer Success Manager, Director at Genesys leads enterprise customer relationships, drives business outcomes, and champions customer success initiatives while collaborating cross-functionally to achieve key growth and retention objectives.

Leads global product marketing, executive messaging, customer growth marketing, AI thought leadership, product positioning, launches, go-to-market strategy, events, customer evidence, and industry engagement. Builds and develops teams while translating complex enterprise software, cloud, AI, automation, and platform capabilities into compelling customer and business value. Partners with product, engineering, sales, and customer success leaders to drive adoption, expansion, and market differentiation.

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.

Own the strategy, definition, and delivery of AI-powered messaging experiences across Web Messaging, Mobile Messaging, WhatsApp, and other channels. Translate customer problems into scalable generative AI, conversational AI, and automation products; use customer insights and production data to prioritize investments; and influence roadmaps across AI, Messaging, Digital Platform, Engineering, Design, Sales, and Customer Success. Drive use cases from experimentation through production adoption and enterprise scale.

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.

Develop agentic AI solutions and integrations for Genesys Cloud using Go, JavaScript, and TypeScript. Build scalable backend and frontend applications, deploy containerized services with Kubernetes on AWS, and optimize cloud-native performance and reliability. Collaborate with product, architecture, and UX teams, troubleshoot production issues, conduct code reviews, and mentor engineers. The role requires expertise in RAG, MCP, prompt engineering, AWS services, microservices, and RESTful APIs.

Lead development of full-stack CRM integrations and cloud-native services across Salesforce, ServiceNow, Zendesk, telephony providers, and AWS. Build scalable UIs, REST APIs, event-driven systems, automated tests, and infrastructure. Improve reliability, performance, monitoring, alerting, and incident response while participating in on-call operations. Influence architecture, review code, mentor engineers, troubleshoot production incidents, and apply AI-assisted development practices responsibly.

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.

Support and mature enterprise FinOps practices for cloud and AI environments. Monitor and report spend, enforce tagging and cost allocation, track AI-specific metrics (tokens, GPU hours), identify optimization opportunities, maintain FinOps tooling and dashboards, and provide financial inputs for governance and PMO reviews.

Own the professional services sales cycle for mid-market customers, including solution shaping, proposals, statements of work, pricing, deal closure, and account expansion. Partner with account executives, delivery, product, and leadership teams to align services with customer outcomes, platform adoption, AI expansion, and transformation goals. Build customer relationships, manage concurrent opportunities, and position services within the CCaaS and UCaaS ecosystem.

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.

Lead and deliver enterprise AI-powered customer experience solutions: architect, implement, support and operate Genesys Cloud AI/experience orchestration for large customers, driving AI production adoption and operational excellence across engagements.

The Senior Revenue Accountant will support SaaS revenue recognition, ensuring compliance with ASC 606, validating data accuracy, preparing journal entries, and assisting in audits.