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Salary
≈ $16k – $42k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jul 29, 2026. Nightfall scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Nightfall is a data security company that builds an AI-based data loss prevention platform. Its product detects sensitive data such as credentials, personal and financial information across SaaS applications, generative AI tools, email and endpoints, and blocks exfiltration and policy violations. It sells to enterprises and has an engineering team in Bengaluru. The company is headquartered in Palo Alto, California, United States.
Backed by Pear VC

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:

This is a role in the team that owns data exfiltration prevention on endpoints and requires a background platform: MacOS. Engineers in this team own the design and development of core features on Nightfall’s Data Exfiltration platform. This requires leveraging file & device interfaces and requires an in-depth understanding of Operating System internals.

Responsibilities

  • Designing and developing data exfiltration prevention apps, system extensions, and services on MacOS

  • Maintaining and evolving mission-critical agents on endpoints.

  • Own complex features from design to delivery and troubleshoot issues from customers.

Requirements

  • Expertise in one of the following: Objective-C, Swift on MacOS

  • Demonstrable expertise in developing agents on one of MacOS

    • On MacOS, practical development experience with Endpoint Security System Extension is required. A plus will be knowledge of IOKit and of MacOS VFS model.

  • Proven experience of leading or being important individual contributor for one or

more significant projects.

  • Consistently write concise and very well tested code.

  • You can navigate and debug a complex code using the tools available and you have

    very strong attention to details.

  • You can do OS-level research.

  • Experience with kernel-level debugging processes and tools. Ability to use reverse engineering techniques and debugging of kernel space code is an advantage.

  • You enjoy working in a dynamic environment and you are result oriented.

  • You are the problem solver and like challenging tasks.

  • Minimum 5+ years of related work experience.

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.

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