WitnessAI

Job Title: Technical Support Engineer (AI Security Products) Location: Remote Department: GTM Employment Type Contract Location Type Remote Job Description: 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.)

Senior Software Engineer - Go Networking WitnessAI is a fast-growing SaaS startup on a mission to enable enterprises to adopt AI, safely. We're building a product that provides security and governance guardrails for public and private LLMs. We're seeking a skilled Go developer with expertise in network traffic analysis and content extraction. The ideal candidate will have the ability to work with application layer data (HTTP, JSON, etc.) Key Responsibilities: ● Develop and maintain high-performance Go applications for data processing and analysis ● Build robust content extraction systems that can handle real-time data streams ● Create tools for processing and analyzing application-layer protocol data (JSON, XML, HTML) ● Implement concurrent data processing pipelines using Go's powerful concurrency primitives ● Design extensible plugin based architectures that can adapt to new data formats and protocols Required Qualifications Preferred Qualifications: ● Knowledge of additional markup and data formats (Protocol Buffers, MessagePack, CBOR) ● Familiarity with network programming concepts (TCP/IP basics, packet structure) ● Experience with performance profiling and optimization in Go ● Knowledge of TLS/SSL fundamentals ● Experience with streaming protocols (WebSockets, gRPC, HTTP/2) ● Familiarity with cloud-native technologies (Docker, Kubernetes) ● Background in compiler design or language parsing ● Experience with network packet analysis tools (Wireshark, tcpdump) ● Understanding of security protocols and encrypted data handling 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: $150,000-$200,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)