Nightfall
Help us build the future of cloud data protection alongside our growing,
global team at Nightfall.
We're a tight-knit team of customer-centric builders, mission-driven owners, and first-principled thinkers With remote work and the adoption of SaaS and Gen AI, sensitive data has become hard to trace and protect. Legacy CASB, Endpoint DLP, and IRM solutions are noisy, erode user productivity, are slow to deploy, and painful to maintain.
Life at Nightfall Development Competitive pay, equity, and 401k plan
Regular, thoughtful compensation reviews
Flexibility Flexible time off
Company wide holidays
Flexible commuter options
Generous parental leave policy
Reimbursement for home office, fitness, and mental wellness expenses
Open positions
Join our team If you can't find what you're looking for, check back often as new positions open up frequently.
Location Employment Type Full time
Hybrid
Department R&D
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:
Key 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
What you need Customer-Facing and Collaborative 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
Execution-Oriented and Scrappy 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
Bonus Points Prior experience as a founder, security engineer or product manager on an endpoint product or similar hands-on security role
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
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We're a tight-knit team of customer-centric builders, mission-driven owners, and first-principled thinkers With remote work and the adoption of SaaS and Gen AI, sensitive data has become hard to trace and protect. Legacy CASB, Endpoint DLP, and IRM solutions are noisy, erode user productivity, are slow to deploy, and painful to maintain.
Life at Nightfall Development Competitive pay, equity, and 401k plan
Regular, thoughtful compensation reviews
Flexibility Flexible time off
Company wide holidays
Flexible commuter options
Generous parental leave policy
Reimbursement for home office, fitness, and mental wellness expenses
Open positions
Join our team If you can't find what you're looking for, check back often as new positions open up frequently.
Location Employment Type Full time
Hybrid
Department R&D
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:
Key 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
What you need Customer-Facing and Collaborative 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
Execution-Oriented and Scrappy 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
Bonus Points Prior experience as a founder, security engineer or product manager on an endpoint product or similar hands-on security role
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
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