About Cyera
Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
About the Role
The Senior Technical Support Engineer provides product-focused technical resolution for issues that require deep investigation. This role owns complex troubleshooting within defined product domains, reproduces issues, validates workarounds, improves escalation quality, and helps reduce repeat issues through documentation and product feedback.
What You'll Do
Master complex technical challenges: Deep-dive into modern enterprise architectures across AI security, data discovery, classification, DLP workflows, and access analysis to solve high-stakes technical issues.
Drive complete technical ownership: Take full command of Support Tickets from initial discovery to resolution, acting as the primary technical authority and trusted advisor for our customers.
Engineer automation and internal tools: Write scripts and build custom diagnostic utilities to eliminate manual troubleshooting steps, streamline investigations, and scale team performance.
Drive product impact and cross-functional synergy: Partner with Product, Engineering, DevOps, and OCTO teams to feed real-world operational insights into the roadmap, deliver high-fidelity root cause analyses, and ensure efficient resolution of systemic platform issues.
Elevate documentation and knowledge standards: Scale institutional capability by architecting reusable runbooks and technical guides, while maintaining rigorous case management standards to ensure records remain accurate, actionable, and auditable.
Pioneer AI-driven support: Integrate modern AI tools and agents directly into daily troubleshooting workflows, refining custom prompts to continually accelerate case resolution and elevate support efficiency.
Champion customer success: Serve as a high-impact advocate for clients, managing relationships and representing the company with confidence when communicating with technical teams and executive stakeholders.
Mentor and elevate the team: Actively mentor Tier-1 engineers on technical troubleshooting, ticket hygiene, and escalation protocols to build a high-performance support culture.
Requirements
Who You Are
Must Have
Education: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or a related technical field (or Associate degree with equivalent practical experience).
Experience: 5+ years in technical support, support engineering, escalation support, or customer-facing technical roles within SaaS or cybersecurity.
Scripting & Automation: Hands-on experience with scripting languages such as Python, Bash, or PowerShell
Domain Knowledge: Direct experience in data security or cloud domains, such as DSPM, IAM, SIEM, CASB, CNAPP, CSPM, data privacy, or DLP.
Cloud & Security Infrastructure: Hands-on experience supporting enterprise cloud platforms (AWS, Azure, or GCP) and identity/authentication protocols (SSO, SAML, OAuth, SCIM, RBAC).
Technical Troubleshooting: Strong ability to analyze logs, inspect APIs and web services, work with SQL, and write root-cause analysis (RCA) summaries and runbooks.
Tooling: Direct experience managing tickets and escalations in enterprise platforms like Zendesk, ServiceNow, Jira, or Salesforce.
Execution & Communication: Exceptional written and verbal communication skills to translate complex technical findings for both non-technical customers and R&D engineers.
Adaptability: Demonstrated ability to work autonomously in ambiguous scenarios and prioritize high-volume workloads based on SLAs, urgency, and customer impact.
Availability: Willingness to participate in a scheduled on-call rotation, including evenings, weekends, or holidays as business needs require.
