Job Overview
Location
Remote (US)
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Lead end-to-end customer deployments and onboarding of Nightfall’s AI-native data loss prevention platform across enterprise and mid-market clients, including endpoint rollout, SaaS integrations, policy configuration, and detector setup.
- • Design and implement custom policies and detectors tailored to customer-specific use cases, compliance requirements, and data classification needs.
- • Deliver administrator training, investigation workshops, and enablement sessions to ensure customer teams can effectively operate and maintain the Nightfall platform.
- • Build and support custom technical solutions such as API integrations, SIEM/SOAR connectors, data migrations, and one-off configuration tasks to meet unique customer requirements.
- • Install, configure, and integrate the Nightfall platform within complex customer environments, including managing access controls, encryption protocols, and cloud infrastructure dependencies.
- • Perform ongoing policy tuning, performance optimization, and capacity planning to adapt to evolving customer environments and scale usage.
- • Conduct recurring health checks to reduce alert noise, improve detection accuracy, and ensure long-term platform stability and effectiveness.
- • Act as a senior escalation point for high-severity technical issues, owning resolution from initial report through final closure and customer communication.
- • Troubleshoot advanced issues related to policy logic, false positives/negatives, integration failures, and AI-driven detection anomalies.
- • Partner with Engineering and Product teams to diagnose platform issues, provide clear repro steps, and drive product improvements based on real-world customer feedback.
- • Collaborate with Customer Success, Sales, and Solutions Engineering to support customer adoption, renewal cycles, and expansion opportunities.
- • Serve as a technical liaison between customers and internal teams, translating business needs into technical requirements and vice versa.
- • Maintain detailed documentation of deployment architectures, configuration changes, and resolution paths for knowledge sharing and audit readiness.
- • Stay current with evolving security threats, SaaS platform updates, and AI/ML detection advancements to ensure optimal platform utilization.
- • Provide technical guidance during sales cycles to support technical validation, proof-of-concept demonstrations, and post-sale transition.
- • Ensure all customer interactions reflect a customer-first mindset, prioritizing clarity, responsiveness, and long-term value realization.
🎯 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.
🏖️ Benefits
- • Employee compensation includes base salary, bonus (for applicable roles), benefits & perks, and stock options.
- • Nightfall AI is an equal-opportunity employer valuing diversity and inclusion.
- • Work in a high-growth startup environment backed by leading VC firms and cybersecurity leaders.
Skills & Technologies
About Nightfall AI, Inc.
Nightfall AI is a data security company that provides a cloud-native data loss prevention (DLP) platform. Their solution automatically discovers, classifies, and protects sensitive data across various cloud applications and services, including Slack, Google Workspace, and AWS. Nightfall focuses on making DLP accessible and effective for modern businesses, enabling them to comply with regulations and prevent data breaches without complex infrastructure. The platform leverages machine learning to understand the context of data, ensuring accurate identification of sensitive information like PII, financial data, and intellectual property. This allows organizations to maintain control over their data and enhance their overall security posture in the cloud.
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