
Technical Solutions Consultant
Posted Jun 21

Posted Jun 21
This is a fully remote position, open to applicants in United States.
• Oversee customer deployments and onboarding processes, which include endpoint rollouts, SaaS integrations, policy configurations, and detector setups.
• Create and implement tailored policies and detectors that align with customer use cases and compliance standards.
• Provide administrator training, conduct investigation workshops, and facilitate enablement sessions.
• Develop and maintain custom technical solutions, including API integrations, SIEM/SOAR connectors, migrations, and ad hoc configuration tasks.
• Install, configure, and integrate the Nightfall platform within intricate customer environments, ensuring proper access controls and encryption measures.
• Execute policy tuning, performance enhancements, and capacity planning as customer environments progress.
• Perform regular health checks to minimize alert noise, enhance detection accuracy, and ensure the ongoing health of deployments.
• Serve as a senior escalation point for complex or high-severity technical issues, taking ownership until resolution is achieved.
• Diagnose advanced issues related to policy logic, false positives/negatives, integrations, and AI-driven detections.
• Collaborate closely with Engineering and Product teams to identify issues, provide clear reproduction steps, and drive enhancements to the platform.
• Work in partnership with Customer Success, Sales, and Solutions Engineering teams to facilitate adoption, renewals, and growth.
• A minimum of 4 years of experience in a Technical Support, Professional Services, Solutions Consultant, or Customer Engineering position within B2B SaaS.
• Practical experience with security or data platforms such as DLP, SIEM, SOAR, CASB, or cloud security solutions.
• Proficient troubleshooting abilities and comfort with APIs, integrations, logs, and SaaS/cloud architectures.
• Capability to articulate complex technical concepts clearly to security, IT, and engineering stakeholders.
• Experience managing multiple customer engagements or projects simultaneously.
• Excellent written and verbal communication skills, coupled with a customer-first approach.
• Nice to Have:
• Experience with AI/ML-driven security tools or data classification platforms.
• Familiarity with AWS, GCP, or Azure environments.
• Experience working in a high-growth or startup environment.
• Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate.
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