WitnessAI Logo

WitnessAI

Technical Support Engineer

Reposted 3 Months Ago
Remote
Hiring Remotely in USA
85K-100K Annually
Mid level
Remote
Hiring Remotely in USA
85K-100K Annually
Mid level
Provide hands-on technical support and escalation for AI security products, troubleshoot complex network/security issues (proxies, endpoints, firewalls, IDS/IPS, VPNs), mentor TSE team, manage SLAs, develop documentation and training, collaborate with engineering/product, assist deployments, and analyze support metrics to improve processes.
The summary above was generated by AI

Job Title: Technical Support Engineer (AI Security Products)

Location: Atlanta, GA - Hybrid - 2 days/week

About Us:

Witness AI invented intent-based AI security. While legacy tools monitor what users say to AI, we understand what they're trying to accomplish - stopping jailbreaks, data exfiltration, and shadow AI before damage occurs. We provide visibility into how employees and systems use AI - capturing prompts, responses, and agent activity - so security teams can monitor risk, investigate incidents, and enforce guardrails in real time.

Job Description: As a Hands-On Technical Support Engineer for WitnessAI customers, you will be responsible for overseeing the pool of customer technical/product issues ranging from easy to complex difficulty while directly engaging with them to troubleshoot and provide resolution by following customer SLAs. You’ll provide high-level technical guidance and mentorship to the TSE team, while ensuring efficient resolution of customer problems related to AI security products. This is a hands-on role that requires a deep understanding of network, endpoint and proxy security technologies, troubleshooting complex issues, and working closely with cross-functional teams to drive customer success.

Key Responsibilities:

  • Lead and mentor the technical support team, providing guidance on troubleshooting and resolving complex customer issues.

  • Serve as an escalation or direct point for high-priority and advanced technical issues involving AI security products (e.g., proxies, end points, HTTP1.1/HTTP2,DNS, firewalls, IDS/IPS, VPNs, etc.).

  • Provide hands-on troubleshooting, root cause analysis, and resolution for customer-reported issues, ensuring high-quality support.

  • Collaborate with engineering, product development, and sales teams to communicate customer feedback and ensure continuous product improvement.

  • Develop and maintain best practices, technical documentation, and troubleshooting guides to improve team efficiency.

  • Implement and manage support processes, ensuring SLAs are met and customer satisfaction remains high.

  • Conduct regular training sessions to keep the support team up-to-date on the latest product features and network security trends.

  • Engage directly with customers via email, phone, or remote sessions to resolve technical issues and ensure their security solutions are fully optimized.

  • Assist with the deployment and configuration of security products, providing post-deployment technical assistance.

  • Monitor, analyze, and report on support metrics, identifying opportunities for process improvements and training needs.

  • Stay updated on the latest cybersecurity trends, threats, and technologies to provide expert-level support and guidance.

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.

  • 3-5 years of experience in technical support or engineering roles.

  • Extensive hands-on experience with network security products, including firewalls, VPNs, IDS/IPS, and endpoint security solutions (e.g.,Crowdstrike, SentinelOne, Palo Alto, Cisco, Fortinet, etc).

  • Strong knowledge of various protocols (HTTP1.1,HTTP2, TCP/IP, DNS, DHCP, etc.), working with HARs, packet captures, tcpdump, etc and security best practices.

  • Proven experience troubleshooting and diagnosing complex network security issues in real-world customer environments.

  • Exceptional problem-solving skills and the ability to work under pressure in a fast-paced environment.

  • Strong communication and customer service skills, with the ability to explain complex technical concepts to non-technical users.

  • Experience with scripting or automation tools (e.g., Python, Bash) is a plus.

  • Industry certifications such as CCNA, CISSP, or CEH are highly desirable.

  • Experience with support ticketing systems and knowledge base management.

Benefits:

  • Hybrid work environment

  • Competitive salary.

  • Health, dental, and vision insurance.

  • 401(k) plan.

  • Opportunities for professional development and growth.

  • Generous vacation policy.

Salary Range:

$84,500 - $100,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)

HQ

WitnessAI San Mateo, California, USA Office

San Mateo, CA, United States, 94403

Similar Jobs

3 Days Ago
Remote or Hybrid
US
70K-80K Annually
Mid level
70K-80K Annually
Mid level
Artificial Intelligence • Enterprise Web • Machine Learning • Natural Language Processing • Software • Conversational AI • Automation
Own complex technical support issues from reproduction through resolution, troubleshooting APIs, webhooks, workflows, integrations, and AI agent behavior. Escalate well-documented issues to Engineering, identify recurring patterns, and partner on product improvements. Create runbooks and troubleshooting guides, coach Tier 1/2 and BPO teams, support critical incidents and premier accounts, participate in on-call rotation, and handle sensitive customer data appropriately.
Top Skills: Ai AgentsBrowser Developer ToolsCurlDatadogJavaScriptJSONKibanaKustomerLlmsPostmanPythonRest ApisSalesforceSentryShopifySQLTypescriptWebhooksWorkatoWorkflow Automation PlatformsZapierZendesk
11 Days Ago
Remote
USA
42K-52K Annually
Junior
42K-52K Annually
Junior
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Provide first-line technical and non-technical support through email, phone, chat, and video. Manage and resolve L1 tickets, troubleshoot system behavior and configurations, document solutions, explain technical issues clearly, and escalate complex problems to L2 or engineering teams. The role requires shell scripting, Python, SQL, REST APIs, GraphQL, and customer support experience, with possible weekend and allocated-shift availability.
Top Skills: Crm/Ticketing ToolsDockerGoogle MeetGraphQLLinuxObservability ToolsPythonRest ApisShell ScriptingSQLSshTerminal CommandsZendeskZoom
10 Hours Ago
In-Office or Remote
Entry level
Entry level
Edtech • Healthtech • Information Technology • Hospitality
Investigate and resolve complex product, platform, and data issues using observability tools, dashboards, SQL, and logs. Manage incidents from detection through closure, coordinate with Support, Engineering, and Product, implement appropriate fixes, perform root cause analysis, document solutions, maintain operational workflows, and identify preventative improvements.
Top Skills: APIsDatadogSentrySnowflakeSQLZendesk

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account