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Drive regional enterprise sales for Saviynt's Cloud Security, Identity Governance, and PAM solutions. Manage full sales cycle from prospecting to close, collaborate with SE and product teams, maintain pipeline in Salesforce, attend events, and meet monthly/quarterly revenue targets.

Develop and maintain enterprise identity cloud solutions, collaborating on software architecture, deployment, and agile methodologies while ensuring security and compliance.

As a Principal Software Engineer, you'll lead a team on the development of cloud identity solutions, mentor engineers, and ensure high quality in software design and implementation.

The Associate Principal Engineer will analyze requirements, design software solutions, develop enterprise identity cloud solutions, and provide technical support while following agile principles.

The Senior Customer Success Manager drives customer adoption of Saviynt's services, ensuring alignment with business objectives, and providing advisory services to enhance satisfaction and retention.

Owns 24x7 platform stability and network-layer support for Saviynt's Enterprise Identity Cloud. Troubleshoots customer incidents, performs root cause analysis, configures connectivity (IPsec/VPN), manages cloud networking in AWS/Azure, documents SOPs, and leads engineering responses during Sev1 incidents to drive resolution and customer satisfaction.

The Sales Development Representative will identify sales opportunities through outbound prospecting and inbound leads, setting up appointments for the enterprise sales team while collaborating with team members to drive the sales cycle.

Design, build, and operate cloud and distributed Edge infrastructure and deployment automation. Implement CI/CD, release orchestration, observability, secrets and certificate management, and resilient architectures. Integrate AI-assisted engineering and support AI-native, agentic workloads while ensuring scalability, reliability, security, and disaster recovery.

Design and build native endpoint agents for Windows, macOS, and Linux to enforce privileged endpoint device management, collect local telemetry, detect unauthorized or agentic workloads, secure agent-backend communication, and optimize performance. Lead architecture, mentor engineers, and apply AI-assisted development and AI SDLC practices to discover and govern AI agents on enterprise endpoints.

Architect and build a scalable AI Security platform: develop Go microservices for Cloud Control Plane and distributed Edge Backends, design resilient policy sync, discovery and access-brokering services, ensure high availability and observability, and provide technical leadership and mentoring.