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 CategoryAI (Artificial Intelligence), IT & Cybersecurity, Support Service

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