What are the responsibilities and job description for the Senior Product Manager (AI Security) position at Nightfall AI?
About Nightfall: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. Hundreds of customers, spanning AI innovators to top 10 banks, trust Nightfall to detect and stop data exfiltration at scale. Nightfall enables organizations to innovate freely without the risks of losing intellectual property or exposing customer data. Our agentic platform helps security teams regain their time by putting data loss prevention on autopilot. With automatic remediation, security violations can be resolved automatically before they become incidents, and end-users can be automatically trained and coached in the moment to self-heal violations that they introduce.Nightfall is backed by leading VC firms including Bain Capital Ventures (Enrique Salem - former CEO of Symantec), Venrock (early investors in Cloudflare), WestBridge Capital, Pear VC (early investors in Dropbox and Doordash), and a cadre of cybersecurity leaders including Frederic Kerrest (founder of Okta), Maynard Webb (former COO of eBay), Ryan Carlson (President of Chainguard), Kevin Mandia (founder of Mandiant), and many others.About the role: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.Key ResponsibilitiesShip endpoint DLP features fast - building MVPs, gathering feedback, and iterating based on real-world usageDefine success metrics: agent deployment rates, detection accuracy, remediation rates, exfiltration prevention metrics, system performance to avoid user friction and moreWork directly with engineering on sprint planning, backlog prioritization to achieve predictable release timelinesBuild competitive differentiation by understanding what competitive vendors do poorly or have lack of coverage with endpoints, AI apps and agentic workflowsDocument technical capabilities clearly for sales engineering, support, and customers - from architecture diagrams to deployment guidesWork with Sales Engineering and Customer Success during proof of value, customer deployments to ensure successful evaluation and adoptionBe comfortable presenting the product capabilities and differentiators to CISOs, SecOps teams across customer segmentsWhat you needCustomer-Facing and Collaborative4 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, orExperience working closely with sales engineering and customer success - you understand their workflows and help them win deals and secure renewalsStrong communication skills and an ability to translate technical requirements from security teams into clear product specificationsExecution-Oriented and ScrappyBias for action - you ship fast, iterate based on feedback, and don't wait for perfectionComfortable with ambiguity and rapid change - you're building a category-defining product in a startup environmentStrong prioritization skills - you know what moves the needle vs what can waitEntrepreneurial mindset - you'll do whatever it takes to make customers successful, from troubleshooting agent issues to writing KB articlesHard-working and resilient - this is a high-intensity role that requires deep focus and relentless executionBonus PointsPrior experience as a founder, security engineer or product manager on an endpoint product or similar hands-on security roleUnderstanding of MDM platforms, strong grasp of endpoint DLP and browser extension architecture, security frameworks and limitations across macOS, WindowsKnowledge of compliance frameworks, AI apps and agentic workflows and how they drive DLP requirementsExperience with ML/AI-based detection and classification systemsBackground in SaaS security products and understanding of cloud-to-endpoint integration patternsGraduated with a Computer Science (or similar) degree
Salary : $129,500 - $170,900
