Architect and operate secure, low-latency backend services and distributed AI systems that process sensitive data at scale, with a focus on reliability, real-time ingestion, search, and observability.
Nightfall-AI jobs
Real-time security for AI agents, MCP servers, and data movement across endpoints and SaaS.
23 open roles at Nightfall-AI
Design, evaluate, and deploy machine learning systems for real-time data security, from NLP and LLM model research to scalable MLOps and production services.
Architect and operate secure, low-latency backend services and distributed data infrastructure, scaling real-time AI inference and sensitive-data detection with high availability and reliability.
Leads the engineering organization end to end, setting technical direction and operating practices while scaling a distributed team, delivering secure software, and partnering with product and company leadership.
Identify and qualify new business opportunities through outbound prospecting and inbound lead qualification, communicate security use cases to prospective customers, and partner with Account Executives to grow pipeline.
Build Nightfallโs revenue operations and GTM engineering function, owning the systems, forecasting, data, and automation that support planning and execution across Sales, Marketing, Customer Success, and Finance.
Lead development of a production-grade Linux DLP agent, building kernel-level monitoring and real-time policy enforcement while owning reliability, deployment, and cross-platform integration.
Own the technical side of enterprise sales by assessing prospect needs, demonstrating the platform, leading proof-of-value evaluations, and partnering with sales teams to advance customer outcomes.
Develop macOS data exfiltration prevention features, system extensions, and endpoint agents, owning complex work from design through delivery while troubleshooting customer issues and evolving mission-critical software.
Design and develop Windows endpoint agents, drivers, and services that prevent data exfiltration, owning complex features from design through delivery and troubleshooting customer issues.
Own enterprise sales across the West, building territory strategy and customer relationships while managing the full sales cycle to win new accounts and exceed revenue targets for a cybersecurity platform.
Own Southeast enterprise sales growth by building territory strategy, acquiring new customers, managing the full sales cycle, and exceeding revenue targets for a cybersecurity platform.
Own the design and development of Windows endpoint data-exfiltration prevention features, including agents, drivers, system extensions, and services, from initial design through delivery and customer troubleshooting.
Lead development of macOS endpoint agents and data exfiltration prevention features, owning complex work from design through delivery while maintaining mission-critical systems and resolving customer issues.
Designs and operates AWS infrastructure, CI/CD pipelines, and developer-facing tools, while improving reliability, security, and scalability across the engineering platform.
Build and operate secure, highly available backend services and real-time data pipelines, helping the platform process sensitive data reliably at scale while improving performance, monitoring, and customer-level visibility.
Build and operate secure, highly available backend services and real-time microservices that process sensitive data at scale, with a focus on reliability, performance, and customer-level visibility.
Lead the development of data security products across SaaS, AI apps, endpoints, and browsers, shipping AI security features and improving detection, remediation, and data exfiltration prevention.
Own quality for endpoint security features by designing and automating end-to-end tests across Windows, macOS, web apps, and APIs, while investigating defects and performance issues.
Leads and codes across Mac and Windows endpoint engineering while building the Linux agent, setting cross-platform architecture, growing a team of 10+ engineers, and driving reliable delivery.
Build and maintain a production-grade Linux DLP agent, developing kernel-level event interception and real-time policy enforcement while owning reliability, deployment, and cross-platform integration.
Troubleshoot and optimize SaaS security platforms, integrations, APIs, and endpoint deployments while guiding customers through onboarding and partnering with Engineering and Product to resolve issues and improve the platform.
Own strategic enterprise customer relationships from onboarding through renewal and expansion, translating technical data-security capabilities into measurable business outcomes while shaping scalable Customer Success practices.
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