Manager of Sales Engineering at Nightfall

Palo Alto, California, United States

Nightfall Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, SaaS, AIIndustries

Requirements

  • BS degree in Computer Science or equivalent
  • 7+ years of customer-facing experience as a solutions architect, sales engineer, or partner engineer in SaaS, security, or data science
  • Experience in full-stack development and software architecture patterns, able to understand how a wide variety of technologies and systems interact with each other
  • Strong interest and/or exposure to data science, machine learning, information security, and/or distributed systems
  • Great communicator, comfortable explaining complex concepts to both technical and non-technical audiences
  • Strong collaboration, interpersonal, negotiation, prioritization skills
  • Experience working across the sales lifecycle and driving outcomes in a customer-facing environment

Responsibilities

  • Own the technical aspects of sales meetings
  • Communicate product features and benefits in pre-sales situations to potential customers
  • Conduct assessments of customer's requirements and define Nightfall solutions to meet their needs
  • Demonstrate capabilities to prospective customers
  • Design architecture/implementation to meet business and technical requirements
  • Implement proof-of-value assessments
  • Provide support and product presentations at industry-specific trade shows acting as the voice of the company
  • Relay product feedback and feature request to product/engineering teams

Skills

Sales Engineering
Pre-Sales
Technical Demonstrations
DLP
SaaS Security
Endpoint Security
Data Encryption
AI Security
Data Classification
Compliance

Nightfall

AI-driven data leak prevention for SaaS

About Nightfall

Nightfall.ai focuses on data leak prevention for SaaS and cloud environments, using artificial intelligence to help businesses identify and protect sensitive data. The company serves various clients, including large enterprises and tech companies, by providing API integrations that allow developers to embed data security features into their applications. Nightfall.ai differentiates itself by offering customizable detection rules and an AI-powered detection engine, enabling clients to tailor their data protection strategies. The goal is to help businesses safeguard their sensitive information and reduce the risk of data breaches.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$58.7MTotal Funding
SERIES_BCompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Benefits

Hybrid Work Options

Risks

Generative AI tools like ChatGPT pose risks of accidental data leaks.
Shadow IT increases unanticipated risks as employees use tools without supervision.
Leaked secrets and credentials in cloud environments threaten data security.

Differentiation

Nightfall uses AI to identify and protect sensitive data in cloud environments.
The Nightfall Developer Platform offers flexible API integrations for data security.
Nightfall's DLP solution for GenAI addresses a critical market gap.

Upsides

Growing demand for AI-powered data protection due to generative AI adoption.
Partnerships with firms like Snyk enhance Nightfall's cloud security capabilities.
Recognition by G2 boosts Nightfall's credibility and market presence.

Land your dream remote job 3x faster with AI