US-Based Customer Success Manager — Enterprise SaaS

dig.ai

New York (NY)

On-site

USD 90,000 - 150,000

Full time

14 days+
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Job summary

dig.ai, a Tel Aviv-based startup, is seeking its first US-based Customer Success Manager to help enterprise B2B customers maximize value from our platform. You will build long-term relationships and support our growth in the US market.

You will lead adoption efforts, run training sessions, analyze usage data, and translate client needs into product opportunities. This role demands strong communication, cross-team collaboration, and proactive problem solving in a fast-paced environment.

Qualifications

  • 3-4 years of B2B Customer Success experience in SaaS startups.
  • 3-4 years of working with enterprise global clients.
  • Fluent English and Hebrew speaker with excellent communication skills.
  • Proactive problem solver who thrives in a fast-paced, innovative environment.
  • Project management across cross-team tasks, quality checks, and client deliverables.
  • Strong analytical skills to assess customer usage and extract insights.
  • Ability to understand customer needs and map them to product solutions.

Responsibilities

  • Ensure customers fully leverage our product’s features for maximum impact.
  • Hold periodic check-ins and training sessions to drive adoption and usage.
  • Analyze customer data to identify opportunities for service growth.
  • Provide guidance on best practices and product use cases.
  • Communicate client requirements to internal teams and collaborate to ensure seamless experiences and continuous improvement.

Skills

Customer Success
SaaS
Enterprise clients
B2B
Communication
Problem solving
Project management
Data analysis

Job description

dig.ai, a Tel Aviv-based startup, is seeking its first US-based Customer Success Manager to help enterprise B2B customers maximize value from our platform. You will build long-term relationships and support our growth in the US market.

You will lead adoption efforts, run training sessions, analyze usage data, and translate client needs into product opportunities. This role demands strong communication, cross-team collaboration, and proactive problem solving in a fast-paced environment.

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