Data-Driven Customer Success Manager - Hybrid & Growth

Workwize; New York (NY); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid/remote options

Work from anywhere up to 4 weeks per y

MacBook provided

Home office budget

HQ Amsterdam

Job summary

Workwize in New York is seeking a Customer Success Manager to own the complete customer lifecycle, drive adoption, expansion and renewals for our SaaS solutions. You will collaborate with Friesland Campina, Otrium, Adyen on calls and work with internal teams to optimize processes and deliver measurable value.

You have 4+ years in a client-facing role, strong data analysis, and excellent English communication.

Qualifications

• 4+ years of experience in a client-facing role in SaaS or similar environments.
• Proficiency in PowerPoint and Excel.
• Experience in data analysis and interpretation to drive decisions.
• Excellent English communication skills (written and verbal).
• Strong problem-solving abilities and analytical mindset.
• Bachelor’s or Master’s degree (or compelling reason for not completing one).

Responsibilities

• Drive customer success and satisfaction across the full customer lifecycle (adoption, expansion, renewal).
• Strengthen relationships by prioritizing engagement with customers.
• Identify opportunities for upselling and cross-selling to drive revenue growth.
• Use data and value-driven discussions to maximize adoption and revenue potential.

Skills

PowerPoint

Excel

CRM systems

HubSpot

English communication

Data analysis

Problem solving

Attention to detail

Team player

Entrepreneurial mindset

Education

Bachelor's degree

Master's degree

Tools

HubSpot

Job description

Workwize in New York is seeking a Customer Success Manager to own the complete customer lifecycle, drive adoption, expansion and renewals for our SaaS solutions. You will collaborate with Friesland Campina, Otrium, Adyen on calls and work with internal teams to optimize processes and deliver measurable value.

You have 4+ years in a client-facing role, strong data analysis, and excellent English communication.