Technical Support Engineer – AI Data Privacy & Security Governance (L2/L3)
Remote
United States
Posted 2 months ago
This is a full-time, remote Technical Support Engineer role (West Coast location preferred) at Securiti AI, a company pioneering AI-powered data and privacy governance. This senior post-sales position requires deep technical expertise to diagnose, troubleshoot, and resolve complex issues in production environments. The engineer must have hands-on experience across a wide range of security, cloud, container, and database technologies, while adhering to strict SLAs and operational metrics.
- Location: Remote (West Coast US preferred).
- Compensation: $160,000 – $180,000 OTE, plus eligibility for stock options and standard benefits (healthcare, PTO).
- Experience: Minimum 7+ years of work experience as a technical support engineer in a related technical field.
- Shift/Coverage: Requires participation in a 24×7 technical support coverage shift that may conflict with the resident timezone.
- Focus: Post-sales technical support for Data Privacy and Security products, leveraging expertise in DLP, Encryption, SQL/NoSQL, Linux, Kubernetes, and Cloud Platforms.
Key Responsibilities: Advanced Resolution and Governance
The engineer drives the technical support lifecycle, balancing technical depth with strong customer advocacy.
- Technical Resolution: Diagnose, troubleshoot, and resolve issues by proposing simple and effective solutions and workarounds. Drive the overall post-sales technical support for customers.
- SLA Compliance: Provide responsive and timely service, complying with and exceeding SLA goals on response and resolutions.
- Escalation and RCA: Conduct ticket escalations to engineering, managing the entire resolution lifecycle. Ensure proper logging of all issues, steps, and Root Cause Analysis (RCA).
- Knowledge Management: Document RCAs as repeatable resolutions in the knowledge base (KB articles).
- Metrics: Understand and implement key operational metrics, such as MTTR, NPS, and CSAT, in day-to-day functions.
- Feedback Loop: Interface with engineering and product management for ticket escalations and provide a feedback loop regarding bugs, usability insights, and enhancement requests.
Experience and Technical Skills (7+ Years Required)
The role requires mandatory, hands-on experience across critical infrastructure and security domains.
- Core Technical Domains (Hands-on Experience Required):
- Data Privacy and Security: (DLP, Encryption, Access, Classification, etc.)
- Databases: SQL/NoSQL databases.
- Operating Systems: Linux and Bash scripting.
- Cloud & Containers: Cloud Platforms, Docker/Kubernetes containers, and Virtualization.
- Networking: Networking and OSI model, Filesystems.
- Support Lifecycle: Demonstrated depth in all aspects of the technical support lifecycle (logging, triage, escalation, RCA, KBs).
- Tools: Proficiency in one or more Technical Support systems (e.g., Zendesk).
- Domain Knowledge (Plus): Understanding of Data Security and Privacy, including corresponding regulations, is a strong plus. Prior support experience with a Data Privacy and Security company or Cloud Security is highly desirable.
Job Features
| Job Category | AI (Artificial Intelligence), IT & Cybersecurity, Support Service |