Senior Product Manager, Nightfall AI
AI Security
Office located in Palo Alto, CA
Cloud-native data protection platform
Be an early applicant
Cloud-native data protection platform
101-200 employees
Be an early applicant
Office located in Palo Alto, CA
101-200 employees
Company mission
To empower enterprises big and small to navigate the digital world with confidence, while ensuring the security and privacy of their sensitive data.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Nightfall AI is tackling security challenges posed by the adoption of generative AI and technologies like GPT-4o. Businesses adopting these powerful AI models face extended concerns over sensitive data exposure, prompt injection attacks and model abuse.
Nightfall AI's firewall for I is a robust client wrapper safeguarding GENAI applications and data pipeline. it ensures security by proactively scanning and removing sensitive information like PII, PCI, PHI, and proprietary secrets. Additionally, it defends against prompt injection attacks, ensuring data integrity across diverse AI inputs.
With its AI-native detection engine and advanced DLP models, Nightfall proactively addresses future challenges in evolving AI technologies. By integrating into workflows, Nightfall enables organisations to deploy GenAI applications securely, ensuring compliance and driving innovation for enhanced customer experiences.
Freddie
Company Specialist at Welcome to the Jungle
Insights
53% employee growth in 12 months
Company
Funding (2 rounds)
Aug 2022
$40m
SERIES B
Nov 2019
$20.3m
SERIES A
Total funding: $60.3m
Company HQ
Financial District, San Francisco, CA
Leadership
Isaac Madan
(CEO)Having studied at Stanford, Isaac co-founded Chalky in 2013 before working as a Correlation Ventures Tech Advisor and Analyst for Pejman Mar. They spent 2 years as a Venrock Investor before co-founding Nightfall AI in March 2018.
Rohan Sathe
(CTO)Rohan started their career as a Voxer Software Engineer before being a Founding Engineer of UberEats, where they worked until 2017. In March 2018, they co-founded Nightfall AI with Isaac, serving as CTO.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 9 more jobs at Nightfall AI