Senior Customer Success Manager
Ironclad140,000 - 170,000 USD/year
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, Data Protection, SaaSIndustries
Requirements
Candidates should possess at least 5 years of experience in consulting, account management, customer success, or sales, specifically within enterprise SaaS startup settings, with a proven track record of managing enterprise clients and prioritizing customer experience with a focus on customer happiness and retention. They should also demonstrate a drive to understand customers’ business goals, anticipate future needs, and identify solutions, as well as a high level of integrity and a desire to assist their team.
Responsibilities
As a Senior Customer Success Manager at Nightfall AI, you will manage customer success, ensuring customers realize the full value of the platform, develop and deliver a roadmap to success, advising customers to achieve their business goals, drive product adoption and ongoing use, collaborate cross-functionally to drive expansion revenue and manage renewals, engage with business leaders to identify upsell opportunities, and communicate enhancement opportunities and product feedback across various teams while becoming an expert on the Nightfall platform and industry trends in data security.
Skills
Customer Success Management
Product Adoption
Customer Relationship Management
Upsell & Expansion Strategies
Cross-functional Collaboration
Communication
Business Strategy
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$58.7MTotal Funding
SERIES_BCompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees