Lead customer deployments and onboarding engagements, including endpoint rollout, SaaS integrations, policy configuration, and detector setup.
Design and implement custom policies and detectors aligned to customer use cases and compliance requirements.
Deliver administrator training, investigation workshops, and enablement sessions.
Build and support custom technical solutions, including API integrations, SIEM/SOAR connectors, migrations, and one-off configuration work.
Install, configure, and integrate the Nightfall platform within complex customer environments, including access controls and encryption.
Perform policy tuning, performance optimization, and capacity planning as customer environments evolve.
Conduct recurring health checks to reduce alert noise, improve detection accuracy, and maintain long-term deployment health.
Act as a senior escalation point for complex or high-severity technical issues, owning problems through resolution.
Troubleshoot advanced issues related to policy logic, false positives/negatives, integrations, and AI-driven detections.
Partner closely with Engineering and Product to diagnose issues, provide clear repro steps, and drive platform improvements.
Collaborate with Customer Success, Sales, and Solutions Engineering to support adoption, renewals, and expansion.
Requirements
4+ years of experience in a Technical Support, Professional Services, Solutions Consultant, or Customer Engineering role in B2B SaaS.
Hands-on experience with security or data platforms such as DLP, SIEM, SOAR, CASB, or cloud security solutions.
Strong troubleshooting skills and comfort working with APIs, integrations, logs, and SaaS/cloud architectures.
Ability to communicate complex technical concepts clearly to security, IT, and engineering stakeholders.
Experience managing multiple customer engagements or projects concurrently.
Strong written and verbal communication skills and a customer-first mindset.
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.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate.
During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits & perks, and stock options as they’ll be reflected in the offer letter.