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Manage customer-facing software and AI/GenAI delivery projects from initiation through closure. Responsibilities include project planning, scheduling, RAID tracking, stakeholder communication, risk and dependency management, escalation handling, cross-functional coordination, and PMO process improvement. The role also supports AI project evaluation, data readiness, model performance monitoring, AI-specific risk tracking, prompt engineering awareness, cost considerations, and governance practices.

Leads complex partner implementation projects, including configuration, integrations, deployment architecture, onboarding, troubleshooting, and readiness. Provides expert technical support, drives root-cause analysis and systemic fixes, establishes implementation standards, and guides transitions to steady-state support. Coaches Implementation Engineers, develops technical playbooks and enablement materials, advises Partner Success teams, leads executive business reviews, and advocates for product enhancements. Requires strong cross-functional influence, communication, and expertise in APIs, cloud architectures, and enterprise deployments.

Manage and continuously improve AWS cloud infrastructure, CI/CD pipelines, infrastructure automation, container platforms, monitoring, and operational processes. Build pipelines with Jenkins and GitHub Actions; automate deployments using Terraform and Docker; optimize AWS environments for scalability, security, reliability, and cost; troubleshoot performance and availability issues; and collaborate with R&D, QA, Security, and Operations teams. The role also promotes cloud best practices, FinOps, AI-assisted automation, and SaaS platform reliability.

Designs, develops, deploys, and optimizes AI-enabled software and data infrastructure using Python and Scala. Responsibilities include building AI assistant tooling, maintaining code quality and security, collaborating on product development, coordinating releases, and managing scalable cloud-based systems. The role requires experience with big data technologies, AWS services, Kafka, Kubernetes, Snowflake, CI/CD pipelines, and SQL.

The Senior Revenue Accountant manages SaaS revenue accounting under ASC 606 and US GAAP, including contract reviews, journal entries, reconciliations, close activities, disclosures, SOX controls, audit support, and technical accounting documentation. The role partners with Sales, Legal, FP&A, and Order Management, maintains revenue subledger integrity, supports forecasting and system improvements, and mentors junior team members. Workday Financials and advanced revenue accounting experience are important in this hybrid public-company environment.

Lead the technical direction for scalable, cloud-native, API-first products and internal platforms. Design, build, test, deploy, monitor, and optimize distributed systems; contribute to conversational AI capabilities; improve CI/CD and engineering workflows; resolve performance issues; and provide technical leadership across architecture, coding standards, project execution, and team collaboration.

Build full-stack, cloud-native features for NICE’s Workforce Management platform using AWS and AI-augmented development workflows. Develop AI-driven capabilities, orchestrate agents, optimize application performance, ensure high-quality delivery, and contribute to continuous improvement in an agile environment.

Manages revenue recognition for complex software deals under ASC 606 and IFRS 15. Reviews contracts, oversees the revenue cycle from booking through recognition, supports forecasting and deal structuring, coordinates quarterly close activities, and prepares management reports. The role collaborates with global business units and corporate finance and may lead accounting projects and processes.

Leads the Performance Management engineering organization, overseeing design, development, testing, deployment, scalability, capacity planning, operational support, and product quality. Establishes engineering standards, manages delivery and resources, incorporates customer requirements, and leads a globally distributed team. The role also drives adoption of AI and agentic technologies, recruits and develops engineering talent, and partners with business leadership to deliver scalable SaaS products.

Build and operate NICE’s internal AI platform, including MCP integrations, agent orchestration, model gateways, RAG and vector search pipelines, prompt management, LLM evaluations, developer tooling, CI/CD, observability, and production services. The role requires hands-on full-stack development with Python or TypeScript, Azure AI services, LLM applications, agent frameworks, API design, asynchronous programming, and cloud deployment.