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Vectra

AI-driven network detection and response platform

Technical Customer Support Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Strong experience supporting an international customer base.
  • At least 5 years working in a technical support and/or escalation engineer role.
  • Experience in diagnosis and resolution of complex customer issues.
  • Expertise in Linux-based systems, their management, operation and application stacks.
  • Good understanding of current security technologies and risks.
  • Excellent understanding of the TCP/IP network protocol suite, including packet capture analysis.
  • Basic understanding of SQL and non-SQL databases.
  • Able to work as part of a geographically dispersed global Support team.
  • Initiative to proactively identify new issues and drive their resolution.
  • Some exposure to virtual environments.
  • Some exposure to cloud environments and support of cloud/SaaS applications.
  • Must be a U.S. citizen.

Responsibilities

  • Work a customer-facing third-tier support queue.
  • Diagnose customer issues deeply, including through lab reproduction and source-code analysis.
  • Quantify customer impact and prioritize solutions within and outside the Support team.
  • Engage with customers and the Sales organization through email, telephone and remote management sessions, such as WebEx, Zoom and GoToMeeting.
  • Engage with Engineering teams to provide prompt, high-quality workarounds and solutions.
  • Identify, qualify and document product, hardware, software and process improvements.
  • Develop Support processes, tools and documentation to grow the Support organization.
  • Develop customer-facing content, such as knowledge-base articles and how-to guides.
  • Provide limited on-call or out-of-hours support for weekends and national holidays.
  • Collaborate with colleagues on investigations and escalations.
  • Collaborate and communicate cross-functionally.

Desired Qualifications

  • Scripting or programming experience, especially in Python and the bash shell.
  • Design and understanding of enterprise and data-center networks.
  • Proactively identify problem areas and drive their resolution.
  • Good understanding of SQL and non-SQL databases.
  • Good understanding of virtual environments.
  • Good understanding of cloud environments.
  • Experience with security appliances and security software.
  • Experience with data interchange between dissimilar systems.
  • Demonstrated ability to use AI-enabled tools to improve productivity, quality, decision-making and customer outcomes, such as ChatGPT Enterprise, Microsoft Copilot and AI-enabled analytics tools.
  • Comfort using AI for practical work such as drafting customer communications, summarizing cases, analyzing trends, preparing reports, researching technical issues and automating routine workflows.
  • Ability to critically validate AI-generated outputs, apply sound judgment and protect confidential and customer information.
  • Ability to identify opportunities to responsibly embed AI and automation into team processes and support adoption of approved tools.

About the Company

Vectra

AI-driven network detection and response platform

Vectra.ai builds AI-powered security tools that watch traffic in cloud environments, SaaS apps, data centers, and enterprise networks to find cyber threats in real time. Its main product, the Cognito platform, connects with other security tools like EDRs, SIEMs, firewalls, and hybrid cloud setups. It collects network data and adds machine-learned security insights, then automatically detects attacker behaviors and flags the most at-risk devices. This helps security teams investigate incidents more efficiently and hunt for threats with AI assistance. Vectra.ai differentiates itself through strong integration across many security tools and its ability to provide real-time detection and risk prioritization across a wide set of environments. The company's goal is to help large organizations reduce security risk and improve their overall security posture by quickly detecting and responding to threats across their entire cloud footprint.

Company size
501-1,000
Company stage
Series F
Total funding
$352.3M
Headquarters
San Jose, CA
Founded
2011

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