Onboard Customers to Varonis platforms and deliver on-going value and support
Lead customers through discovery, remediation, alerting, and governance of sensitive data to e nsure all data is protected from insider threats, cyber-attacks, and policy violations
Help customers identify and mitigate risks related to AI systems, including copilots, LLMs, and shadow AI usage
Drive measurable reduction in data exposure across cloud, SaaS, and data platforms
Ensure Customer success through frequent proactive health checks, hands-on product usage and training, and development and sharing of best practices
Prepare and deliver quarterly business reviews, data risk assessments, and AI risk posture discussions
Alongside Sales, identify and champion upsell opportunities
Learn new Varonis products as they are developed and released and develop expertise in your client’s unique security ecosystem(s)
Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ensure successful renewals
Serve as primary technical contact and augment our support and engineering teams
Advocate on behalf of customers with appropriate internal Varonis teams to ensure customer feedback is adequately documented and assessed by appropriate parties
Engage with customers at all levels of their organization, including but not limited to: Infrastructure, AI/ML, Cloud, Privacy & Compliance, Security, Incident Response, and the C-suite.
Identify, research, maintain control, and remediate customers’ technical issues in a timely manner. Follow up promptly with recommendations and action plans and engage appropriate internal teams as required.
Escalate customer issues to management when appropriate
Create knowledge base content to capture new learning for customer and internal reuse.
Bachelor’s Degree or equivalent experience
4+ Years working in a customer facing role at a Cloud Security, Cyber Security, or Data Security & Privacy company
Experience working with enterprise SaaS/IaaS/PaaS environments (AWS, Azure, GCP, Salesforce, M365, etc.)
Knowledge of enterprise IT, cloud, identity and access models (EntraID/IAM), and security technologies
Understanding of data classification, governance, and DSPM concepts
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