Nightfall AI
Agentic data loss prevention that reduces human and AI risk
Technical Solutions Consultant
Location
United States
Posted
7 days ago
Salary
$130K - $160K / year
Bachelor Degree4 yrs expEnglishAWSAzureCloudGoogle Cloud Platform
Job Description
• 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.
Job 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.
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.