[Remote] Senior Customer Success Manager at Nightfall

Lake Country, British Columbia, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Data Protection, SaaSIndustries

Skills

Key technologies and capabilities for this role

Customer Success ManagementProduct AdoptionCustomer Relationship ManagementUpsell & Expansion StrategiesCross-functional CollaborationCommunicationBusiness Strategy

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position with a requirement to work in the Pacific Time Zone (PT).

What is the salary for this Senior Customer Success Manager role?

This information is not specified in the job description.

What experience is required for this role?

Candidates need 5+ years of consulting, account management, customer success, or sales experience with enterprise customers in SaaS startup settings, a proven track record managing enterprise clients, and skills in prioritizing customer experience, understanding business goals, and teamwork.

What does the company culture emphasize?

The culture values team players with high integrity, a desire to assist the team, and a strong focus on customer happiness, retention, and experience.

What makes a strong candidate for this position?

A strong candidate has 5+ years of relevant experience with enterprise SaaS customers, a proven track record in account management, prioritizes customer happiness and retention, understands business goals, and is a collaborative team player.

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