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Nightfall

AI-powered data leak prevention for SaaS

VP of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, or a related field is required; a master's degree or Ph.D. is preferred.
  • At least 8 years of experience in software engineering, including at least 5 years in a leadership role.
  • A track record of progressing from a hands-on technical role into engineering leadership and building an engineering organization.
  • Experience joining an early-stage B2B SaaS company and growing with it through significant scale; ideally, at least 5 years at one company progressing from individual contributor through senior leadership.
  • A proven track record of delivering high-quality software solutions on time and within budget.
  • Strong technical skills in software development, architecture, and design.
  • Experience managing and mentoring large engineering teams, including building or closely partnering with an engineering team based in India.
  • Ability to collaborate with cross-functional teams and senior leaders.
  • Background in security, infrastructure, or data-intensive systems; direct security engineering experience in data protection, authentication, auditing, or threat detection is a plus.
  • Based in the Bay Area, with a hybrid work rhythm.

Responsibilities

  • Lead the engineering team in designing and delivering high-quality software solutions that meet business requirements.
  • Lead and scale a distributed engineering organization spanning Palo Alto and Bangalore, building systems and trust that enable the cross-continent team to operate as one.
  • Develop and implement engineering processes and standards to ensure consistency and quality across projects.
  • Collaborate with the CEO and other senior leaders to define and execute the company's technology strategy.
  • Manage and allocate resources to ensure projects are delivered on time and within budget.
  • Provide technical leadership and mentorship to the engineering team, review architecture decisions, and help unblock difficult technical problems.
  • Build and maintain an engineering culture that fosters innovation and continuous improvement across the United States and India.
  • Stay current with emerging trends and technologies in software engineering and recommend tools and methodologies to improve the development process.
  • Work with the Product team to define product roadmaps and align engineering resources with product priorities.
  • Ensure secure software development lifecycle practices integrate security at every stage, from design to deployment.
  • Ensure adherence to secure coding standards and design principles, including least privilege, defense in depth, and zero trust.
  • Ensure sensitive data is handled securely using encryption, tokenization, and data masking as appropriate.
  • Lead the engineering response during security incidents, ensuring timely containment, resolution, and stakeholder communication.
  • Drive root cause analysis and implement lessons learned from incidents to prevent recurrence.

Desired Qualifications

  • Startup experience, including comfort operating in a lean, fast-moving Series B environment.
  • Experience at a cybersecurity or data security SaaS company.
  • Experience with data infrastructure or large-scale data processing systems.
  • A track record of shipping AI- or machine-learning-powered features in production.

About the Company

Nightfall

AI-powered data leak prevention for SaaS

Nightfall.ai provides data leak prevention for SaaS and cloud environments by using AI to identify, classify, and protect sensitive data. It works through API integrations that developers embed into their applications, using a configurable detection engine and customizable rules to scan for sensitive information across platforms such as Slack, Google Drive, GitHub, Confluence, Jira, Salesforce, Asana, and Zendesk. The company differentiates itself by offering developer-facing, customizable DLP capabilities that can be embedded into existing cloud and SaaS workflows rather than offering a standalone security product, with revenue from API subscriptions. Its goal is to reduce the risk of data breaches and help organizations protect data and maintain compliance in cloud and SaaS settings.

Company size
51-200
Company stage
Series B
Total funding
$60.3M
Headquarters
San Francisco, CA
Founded
2018

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