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 data security product with coverage across SaaS, AI apps, endpoints 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 Responsibilities
Ship AI security 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
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
Environment
Nightfall AI takes pride in being an equal-opportunity employer. We value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our hiring decisions are based exclusively on merit, qualifications, and business needs.
Compensation
Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits & perks, and stock options as they’ll be reflected in the offer letter.
Skills Required
- 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 and handling deployment issues
- Experience working closely with sales engineering and customer success to support evaluations and adoption
- Strong communication skills and ability to translate security technical requirements into product specifications
- Bias for action; ability to ship MVPs, iterate rapidly, and operate in ambiguity
- Strong prioritization skills and an entrepreneurial mindset to support customers and troubleshoot issues
- Ability to define and track product success metrics including deployment rates, detection accuracy, remediation and performance
- Comfortable presenting product capabilities and differentiators to CISOs and SecOps teams
- Prior experience as a founder, security engineer, or PM on an endpoint product
- Understanding of MDM platforms, endpoint DLP, browser extension architecture, macOS and Windows limitations
- Knowledge of compliance frameworks, AI apps, agentic workflows, and DLP implications
- Experience with ML/AI-based detection and classification systems
- Background in SaaS security products and cloud-to-endpoint integration patterns
- Computer Science (or similar) degree
What We Do
Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at [email protected].
Why Work With Us
Our team operates with flexibility, inclusivity, and empathy. We work together from across multiple time zones and regions. We value and encourage diversity and unique perspectives. We care and support each other as we work together towards our shared vision.
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