Drimva

Salesforce

Director, Customer Success Management (MuleSoft)

$171K–$298K

New York - New York +7 · Office - Flexible · Director · Full-time · Posted Oct 27, 2026

Location
New York - New York
Illinois - Chicago
Washington - Seattle
Texas - Dallas
Georgia - Atlanta
Indiana - Indianapolis
California - San Francisco
Texas - Austin
Experience
10+ years in customer-focused account management roles.

About the job

Leads MuleSoft Customer Success Managers serving Signature Success Plan customers, driving product adoption, renewals, account growth, and customer outcomes.

What you'll do

  • Manage, hire, onboard, mentor, and develop a team of 6–12 Customer Success Managers.
  • Drive Signature Success Plan renewals, MuleSoft adoption, customer retention, and expansion in partnership with sales and cross-functional teams.
  • Oversee escalations and critical customer issues, and communicate with senior customer executives to support long-term growth and retention.

What they ask for

  • 10+ years in customer-focused account management roles.
  • Demonstrated success driving incremental Annual Contract Value (iACV) through expansion sales and managing Net Revenue Retention (NRR) strategies and tactics.
  • Strong communication, relationship-building, executive influence, orchestration, and project management skills.
  • Ability to use data and insights to identify trends and risks, and experience managing technical organizations.

Nice to have

  • Prior experience on a Customer Success management team and as a first-line people leader.
  • MuleSoft product or integration technology expertise; relevant MuleSoft or Salesforce AI certifications are also noted.

Pay

USD $171,200 - $273,000 annually (base salary); USD $205,800 - $298,400 per year (base salary, applicable locations)

Tools

MuleSoft, Catalyst, APIs, web services, databases, cloud platforms

AI focus

The role supports customer adoption of MuleSoft as an integration foundation for enterprise AI and agentic solutions. Foundational understanding of AI and agentic technologies is preferred; Salesforce also uses AI tools to help assess candidates, with humans making hiring decisions.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)