Jobs at Saviynt

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs.

• Own the complete lifecycle of key product areas, from initial concept and strategic roadmap to successful launch and ongoing evolution.
• Deeply understand customer needs and market dynamics to define compelling product requirements that engineering teams can build upon.

• Build executive-ready dashboards and reporting across Marketing performance, pipeline, funnel conversion, campaign effectiveness, attribution, and ROI.
• Define consistent KPIs, metric definitions, and visualization standards across Marketing.

• Develop and deliver technical presentations to demonstrate enterprise solutions, ease-of-configuration, simplicity of architecture, and intelligence of workflows providing the opportunity for customer interaction and demonstrating excellent presentation skills.
• Effectively communicate solution value to the business and technical audiences that is clear an...

• Complete security & privacy literacy and awareness training during onboarding and annually thereafter
• Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

• Product Roadmap Presentation: Lead the development and delivery of roadmap presentations that clearly connect data-driven insights to strategic decisions. Build and maintain AI-native workflows using Claude Code to automate roadmap assembly, surface insights from product data, and accelerate the preparation of executive-ready materials. Collaborate cross-functionally to ensure feedback and analytics meaningfully shape product direction and outcomes.

• Build native endpoint agents for Windows, macOS, and Linux.
• Develop the integrated privileged access client within the endpoint agent.

• Design and operate the infrastructure powering Cloud and Edge platform deployments.
• Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.

• Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
• Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.

• Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
• Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.

• Complete security & privacy literacy and awareness training during onboarding and annually thereafter
• Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

Why Join Saviynt

• Work on a mission-critical SaaS platform used by global enterprises

• Solve complex reliability challenges at scale

• Influence architecture and engineering culture at a company level

• Competitive compensation, benefits, and growth opportunities

Security & Compliance
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• AI Data Lake on GCS: bucket layout, raw → silver → gold tier separation, CMEK encryption, lifecycle rules
• Batch pipelines: Spark on Dataproc for TB-scale feature backfills, Iceberg compaction, and daily S3→GCS incremental sync

• Architect and evolve enterprise-scale automation frameworks across APIs, web UI, and backend services.
• Define and execute automation strategies supporting Saviynt’s identity platform (IGA, PAM, AAG, ISPM, NHI, RBAC, secrets management).

• Design, implement, test and release e2e workflows for our AI security product
• Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies.

• Design, implement, test and release e2e workflows for our AI security product
• Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies.

• Design, implement, test and release e2e workflows for our AI security product
• Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies.

• Complete security & privacy literacy and awareness training during onboarding and annually thereafter
• Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

• 10+ years of experience in security architecture, cloud security, or application security, with demonstrated senior-level impact.
• Strong hands-on development experience with Java, Grails, and Spring Framework.

• Application Securitytesting - Lead and conduct highly advanced, in-depth white-box penetration testing of web applications and APIs.
• Cloud Security assessments - Perform comprehensive security assessments and penetration testing on Cloud Infrastructure (AWS and Azure), including configuration, deployment models, and integrated services.