Nightfall AI

Agentic data loss prevention that reduces human and AI risk

Technical Solutions Consultant

Full TimeRemoteTeam 51-200Since 2018Company SiteLinkedIn

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.

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