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Nightfall AI is an AI-native, unified data loss prevention and insider risk management platform protecting sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more. The company serves hundreds of customers from AI innovators to top 10 banks, backed by leading VCs including Bain Capital Ventures, Venrock, and WestBridge Capital, with advisors including founders of Okta and Mandiant.
As a Sales Engineer, you will own the technical aspects of the sales process for Enterprise prospects. You will consult with prospects to understand their objectives and technical requirements, working alongside Account Executives through all stages of the sales cycle. Your responsibilities include conducting technical sales meetings, communicating product features and benefits to potential customers, assessing prospect requirements and defining solutions, demonstrating platform capabilities in live calls, implementing proof-of-value assessments, and representing the company at industry trade shows.
You will foster ongoing relationships with prospects and partners to ensure long-term growth while maintaining deep understanding of Nightfall's evolving platform. You'll identify and articulate how Nightfall can unlock significant value for customers and transform their DLP and AI security initiatives. Additionally, you will relay product feedback and feature requests to product, engineering, and support teams to inform platform development.
Required qualifications include 7+ years of customer-facing experience as a solutions architect, sales engineer, or partner engineer in cybersecurity or equivalent domain. You should have full-stack development experience and understanding of software architecture patterns, able to comprehend how diverse technologies and systems interact. Strong interest in and/or exposure to AI and AI Security is essential. You must be an excellent communicator comfortable explaining complex concepts to both technical and non-technical audiences, with strong collaboration, interpersonal, negotiation, and prioritization skills. Experience working across the full sales lifecycle and driving outcomes in customer-facing environments is required.
