Senior Product Manager (AI Security)

Nightfall AI•Palo Alto, CA

30d

About The Position

As a Senior Product Manager at Nightfall you'll lead the development and evolution of our latest Data Exfiltration Prevention (Endpoint DLP) product with coverage across SaaS, AI apps, endpoints on macOS, Windows and all major browser platforms. You'll 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.

Requirements

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 - you can speak credibly about how the product works, handle deployment issues, or
Experience working closely with sales engineering and customer success - you understand their workflows and help them win deals and secure renewals
Strong communication skills and an ability to translate technical requirements from security teams into clear product specifications
Bias for action - you ship fast, iterate based on feedback, and don't wait for perfection
Comfortable with ambiguity and rapid change - you're building a category-defining product in a startup environment
Strong prioritization skills - you know what moves the needle vs what can wait
Entrepreneurial mindset - you'll do whatever it takes to make customers successful, from troubleshooting agent issues to writing KB articles
Hard-working and resilient - this is a high-intensity role that requires deep focus and relentless execution

Nice To Haves

Prior experience as a founder, security engineer or product manager on an endpoint product or similar hands-on security role
Understanding of MDM platforms, strong 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

Responsibilities

Ship endpoint DLP features fast - building MVPs, gathering feedback, and iterating based on real-world usage
Define success metrics: agent deployment rates, detection accuracy, remediation rates, exfiltration prevention metrics, system performance to avoid user friction and more
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, support, and customers - from architecture diagrams to deployment guides
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

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