Technical Solutions Consultant (AI)

TL;DR

Technical Solutions Consultant (AI): Deploying, supporting, and optimizing Nightfall’s AI platform across enterprise and mid-market customers with an accent on project-based Professional Services with advanced Technical Support. Focus on ensuring customers are deployed correctly, issues are resolved efficiently, and long-term platform value is realized.

Location: Remote (US)

Salary: $130K - $160K

Company

Nightfall is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more.

What you will do

• 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.
• Perform policy tuning, performance optimization, and capacity planning as customer environments evolve.
• Act as a senior escalation point for complex or high-severity technical issues, owning problems through resolution.

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.

Culture & Benefits

• Equal-opportunity employer valuing a diverse and global talent pool.
• Hiring decisions are based exclusively on merit, qualifications, and business needs.