Posted:
7/24/2024, 9:08:32 AM
Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
IT & Security
Workplace Type:
Hybrid
Nightfall AI (www.nightfall.ai) is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data and controlling how it's shared. For decades, legacy data leak prevention (DLP) solutions have failed to adequately protect sensitive information. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution. We leverage AI to achieve twice the accuracy with a fraction of the false positives that overwhelm security teams. Nightfall does this without disrupting modern work patterns. Our AI-native platform spans sensitive data protection across SaaS, email, data exfiltration prevention on SaaS, endpoints, and data encryption. Nightfall's Developer Platform provides an open, flexible environment for developers to integrate our data classification and protection capabilities anywhere, including establishing trust boundaries for AI model building and consumption.
About the Department
Support Engineers, Customer Success Managers, Solution Architects, Account Managers, - all working together to help our customers adopt Nightfall and create superior Data Leak Prevention experiences. The Customer Success Organization at Nightfall helps customers solve real, technical problems while creating the revenue streams that help the company deliver on its promise to be the best AI / ML Data Leak Prevention platform in the market.
Location: Bangalore, hybrid work from home/office
What You’ll Do
Do you love solving complex problems and interacting with people? Are you passionate about helping customers and are a self-starter? If so, Nightfall is seeking a founding member of our Technical Support team in Bangalore. As the founding team member, you will oversee issues in all support tiers, play a key role in shaping Nightfall’s Support Team and overall customer experience.
We are looking for a unique person seeking the chance to build our dedicated support team from the ground up! Today, front line support is covered by CSMs with some advanced assistance from our Solutions team. We seek to establish a dedicated support team so that we can elevate the responsiveness and effectiveness when solving our customers’ technical issues.
You’ll address issues raised through various channels like Slack and Zendesk, be a linchpin in the feedback loop to our Product organization, and be a key interface for production issues with our Engineering team.
Responsibilities
Qualifications
Desirable Skills
Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We’re a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at [email protected].
Website: https://nightfall.ai/
Headquarter Location: San Francisco, California, United States
Employee Count: 51-100
Year Founded: 2018
IPO Status: Private
Last Funding Type: Series B
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Cloud Data Services ⋅ Data Center Automation ⋅ Machine Learning ⋅ SaaS