Nightfall
AI Security
SeniorProductManager(AISecurity)
“Senior Product Manager (AI Security) at Nightfall. Skills: AI Security Product Management, Data Loss Prevention, Insider Risk Management, SaaS, AI Apps, Endpoint Security. Lead the development and evolution of our latest AI security product. Develop a deep understanding of how organizations secure data and identify critical gaps in their data loss prevention approach especially with the evolving usage of AI apps”
What You'll Achieve.
Define success metrics: agent deployment rates, detection accuracy, remediation rates, exfiltration prevention metrics, system performance to avoid user friction and more; achieve predictable release timelines; ensure successful evaluation and adoption
Industry & Context.
troubleshooting agent issues
What They're Looking For.
Must Have
4 to 6 years of product management experience at a SaaS startup with a highly technical product, Comfortable joining customer calls, demos, and technical discussions, Experience working closely with sales engineering and customer success, communication skills and an ability to translate technical requirements from security teams into clear product specifications, Bias for action, Comfortable with ambiguity and rapid change, prioritization skills, Entrepreneurial mindset, Hard-working and resilient
Nice to Have
Prior experience as a founder, security engineer or product manager on an endpoint product or similar hands-on security role, Understanding of MDM platforms, grasp of endpoint DLP and browser extension architecture, security frameworks and limitations across macOS, Windows, Knowledge of compliance frameworks, AI apps and agentic workflows and how they drive DLP requirements, Experience with ML/AI-based detection and classification systems, Background in SaaS security products and understanding of cloud-to-endpoint integration patterns, Graduated with a Computer Science (or similar) degree
What You'll Do.
Lead the development and evolution of our latest AI security product
Develop a deep understanding of how organizations secure data and identify critical gaps in their data loss prevention approach especially with the evolving usage of AI apps
Ship AI security features fast - building MVPs
and iterating based on real-world usage
Work directly with engineering on sprint planning
backlog prioritization to achieve predictable release timelines
Build competitive differentiation by understanding what competitive vendors do poorly or have lack of coverage with endpoints
AI apps and agentic workflows
Document technical capabilities clearly for sales engineering
Work with Sales Engineering and Customer Success during proof of value
customer deployments to ensure successful evaluation and adoption
Be comfortable presenting the product capabilities and differentiators to CISOs
SecOps teams across customer segments
How You'll Work.
Team & Collaboration
Work directly with engineering on sprint planning, backlog prioritization; Work with Sales Engineering and Customer Success during proof of value, customer deployments; Experience working closely with sales engineering and customer success; communication skills and an ability to translate technical requirements from security teams into clear product specifications
Communication Scope
communication skills and an ability to translate technical requirements from security teams into clear product specifications; Comfortable joining customer calls, demos, and technical discussions; Be comfortable presenting the product capabilities and differentiators to CISOs, SecOps teams across customer segments
Process & Methodology
sprint planning, backlog prioritization, predictable release timelines
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