Cloud Cost Success Manager — Hybrid NYC

North.Cloud; New York (NY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

North.Cloud in New York is seeking a Customer Success Manager to be the primary contact for customers, guiding onboarding, cost-data understanding, and continuous value via automation and insights.

You’ll work with Sales, Engineering, and GTM to translate technical savings into business impact, helping customers save money and scale smarter in a fast-moving cloud economy. This hybrid role requires 3–5 years in CS and data-driven decision making.

Qualifications

• 3–5 years of experience in Customer Success, Technical Account Management, or Operations.
• Experience with FinOps or cloud infrastructure (AWS, GCP, or Azure).
• Data-driven and comfortable working with metrics, dashboards, and financial modeling.
• Excellent communicator who can translate technical value into clear business outcomes.

Responsibilities

• Own customer relationships post-sale: onboarding, adoption, and ongoing engagement.
• Collaborate with teams to analyze spend, surface savings opportunities, and communicate results clearly.
• Build and maintain dashboards and reports that highlight customer impact and ROI.
• Partner with Eng. to share feedback, shape features, and improve the user experience.
• Develop repeatable playbooks for account management and renewal processes as we scale.
• Become a trusted advisor to engineering and finance leaders managing cloud spend.

Skills

Customer success

Communication

Data-driven

Hybrid work

Tools

Looker

Tableau

Metabase

BigQuery

Jira

HubSpot

Job description

North.Cloud in New York is seeking a Customer Success Manager to be the primary contact for customers, guiding onboarding, cost-data understanding, and continuous value via automation and insights.

You’ll work with Sales, Engineering, and GTM to translate technical savings into business impact, helping customers save money and scale smarter in a fast-moving cloud economy. This hybrid role requires 3–5 years in CS and data-driven decision making.