---
title: 'Senior Product Manager at Nightfall AI'
canonical: 'https://feeny.ai/job/senior-product-manager-nightfall-ai-bengaluru-f029hy8dqryv'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Product Manager at Nightfall AI

- **Company:** Nightfall AI
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-11
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/nightfall-ai/c269561d-b2b2-4958-a710-7ab2b65d9f2b

## Job description

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.

## About Nightfall AI

## Company Overview
- **One-liner**: Nightfall AI is an AI-native data loss prevention (DLP) platform that protects sensitive data across SaaS apps, endpoints, email, browsers, and AI tools.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2018
- **Founders**: Rohan Sathe, Isaac Madan, Anant Mahajan

## Core Business
- **Industry**: Cybersecurity – Data Loss Prevention (DLP) & Insider Risk Management
- **Target Customers**: B2B, mid-market to enterprise (50-person startups to Fortune 500 companies)
- **Mission**: “Data protection has to work intelligently and invisibly, or it won’t work at all.” Nightfall aims to enable any company to secure sensitive data across every SaaS app, AI tool, and endpoint without disrupting workflows.

## Products & Services
- **AI-Native DLP Platform**: SaaS-based platform using 100+ AI models, LLM-based file classifiers, and computer vision to classify content with 95% accuracy. Includes data lineage tracking that traces information from source to destination.
- **API-Based SaaS Integrations**: Deploys in minutes across Microsoft 365, Google Workspace, Slack, Salesforce, Atlassian, Zendesk, Notion, and more.
- **Endpoint Agents**: Lightweight agents for macOS and Windows (deployed via MDM) that monitor data movement and enforce policies.
- **Browser Plugins**: Real-time protection for AI apps (ChatGPT, Copilot, Gemini, DeepSeek, Claude, Perplexity, etc.) – blocks sensitive data from being pasted or uploaded.
- **Shadow AI Security**: Purpose-built to prevent data leaks to generative AI tools, including both prompts and file uploads.
- **Automated Remediation**: Context-aware actions such as blocking, redacting, revoking access, quarantining, or encrypting data. 80% of incidents resolved via automation or self-remediation.

## Market Standing
- **Total Funding**: $60.3M (as of CB Insights)
- **Latest Round**: $40M Series B (raised ~4 years ago)
- **Notable Investors**: Venrock, Bain Capital Ventures. Also backed by a “cadre of CEOs, investors, professional athletes, and experts across infosec, AI, and enterprise software.”
- **Key Metrics**:
  - Detection precision: 95% (vs legacy DLP at 5-25%)
  - Typical time to first discovery of violations: 24 hours
  - Full deployment coverage in under one month
  - Average 6x ROI within first 90 days
  - POC timeline: 2 weeks
- **Growth Signals**: Strong emphasis on securing AI tool usage (Shadow AI), expanding endpoint coverage, and replacing legacy DLP tools. Leadership team has experience scaling companies to $100M+ ARR (e.g., Cyberhaven, Abnormal Security).

## Competitive Advantages
- **AI-Native Accuracy**: 95% out-of-the-box precision eliminates weeks of tuning and reduces false positives.
- **Data Lineage**: Tracks data as it moves, transforms, or is copied – catches exfiltration that regex-based tools miss.
- **Rapid Deployment**: API-based integrations in hours; no network architecture changes; zero productivity disruption.
- **Continuous Learning**: Models improve automatically, reducing false positives over time.
- **Vendor Consolidation**: Replaces multiple legacy tools (regex DLP, CASB, endpoint DLP, etc.) with a single platform.

## Strategic Focus
- **Securing AI Adoption**: Blocking data leaks to generative AI tools (ChatGPT, Copilot, etc.) while enabling safe innovation.
- **Expanding MCP Visibility**: Monitoring data movement across AI agents, MCP servers, and new attack surfaces.
- **Reducing Operational Overhead**: Using automation and employee self-remediation (80% of incidents) to lighten security team workload.
- **Platform Unification**: Positioning as a “Data Detection & Response” platform to replace legacy vendor sprawl.

## Why Work Here
- **Culture & Mission**: “Intelligent and invisible” data protection; team of ML engineers, security practitioners, and product builders from Uber, Harness, Microsoft, Code42, Rubrik, etc.
- **Compensation & Benefits**: Competitive pay, equity, 401k plan; regular compensation reviews; support for professional development.
- **Flexibility**: Flexible time off, company-wide holidays, flexible commuter options, generous parental leave. Remote/hybrid options available (home office reimbursement included).
- **Wellness**: Comprehensive health, vision, dental; reimbursement for home office, fitness, and mental wellness expenses.
- **Team**: Leadership with experience scaling from startup to $100M+ ARR; collaborative environment focused on engineering excellence and customer impact.
- **Open Roles**: Positions listed on [jobs.ashbyhq.com/nightfall-ai](https://jobs.ashbyhq.com/nightfall-ai) – new openings added frequently.

## Sources
1. [Nightfall AI – Homepage](https://www.nightfall.ai/)
2. [Nightfall AI – About Page](https://www.nightfall.ai/about)
3. [Nightfall AI – Careers Page](https://www.nightfall.ai/careers)
4. [CB Insights – Nightfall AI Profile](https://www.cbinsights.com/company/nightfall-ai)
5. [Nightfall AI Job Board (Ashby)](https://jobs.ashbyhq.com/nightfall-ai)

## Other roles at Nightfall AI

- [VP of Engineering](https://feeny.ai/job/vp-of-engineering-nightfall-ai-san-francisco-6aas59x132sb) — San Francisco, CA
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-nightfall-ai-united-states-kk9kkctset1k) — United States
- [Director, Revenue Operations & GTM Engineer](https://feeny.ai/job/director-revenue-operations-gtm-engineer-nightfall-ai-united-states-s1bz9qwf30rh) — United States
- [Senior Backend Engineer, AI/Agent Platform](https://feeny.ai/job/senior-backend-engineer-ai-agent-platform-nightfall-ai-bengaluru-1z0py0k2pesp) — Bengaluru, India
- [Talent and People Lead, India](https://feeny.ai/job/talent-and-people-lead-india-nightfall-ai-bengaluru-1krphb5807f4) — Bengaluru, India
- [Staff Backend Engineer, AI Platform](https://feeny.ai/job/staff-backend-engineer-ai-platform-nightfall-ai-bengaluru-t8cfepefkdpj) — Bengaluru, India
- [ML Engineer/Scientist, AI Platform](https://feeny.ai/job/ml-engineer-scientist-ai-platform-nightfall-ai-bengaluru-me2ddjeqkwv6) — Bengaluru, India
- [VP of Marketing](https://feeny.ai/job/vp-of-marketing-nightfall-ai-united-states-443wcbxecq3r) — United States
- [Lead Endpoint Engineer - Linux](https://feeny.ai/job/lead-endpoint-engineer-linux-nightfall-ai-bengaluru-kssyhq470n6k) — Bengaluru, India
- [VP of Finance](https://feeny.ai/job/vp-of-finance-nightfall-ai-palo-alto-7cf9zn56tpex) — Palo Alto, CA