Drimva

Salesforce

Customer Success Manager, MuleSoft

$123K–$203K

Texas - Austin +3 · Office - Flexible · Manager · Full-time · Posted Oct 2, 2026

Location
Texas - Austin
Illinois - Chicago
Georgia - Atlanta
Indiana - Indianapolis

About the job

Leads strategic customer success for complex MuleSoft enterprise accounts, driving integration platform adoption, measurable business value, retention, and contract expansion.

What you'll do

  • Orchestrate customer relationships and transition from implementation to ongoing adoption and value realization.
  • Drive adoption, optimize integration and API strategies, demonstrate ROI, and identify new use cases and expansion opportunities.
  • Manage customer risks and executive relationships, and represent customer needs across Product, Engineering, Services, and Sales.

What they ask for

  • Experience in Customer Success, Enterprise Sales, Professional Services, Technology Consulting, or SaaS platform implementation, with demonstrated integration technology expertise.
  • Proven success managing large, complex enterprise accounts and influencing senior executives and technical strategy.
  • Deep knowledge of integration architectures, API design patterns, and platform best practices; experience with MuleSoft and/or competing iPaaS platforms.
  • Demonstrated history of driving incremental Annual Contract Value (iACV) through expansion sales.

Nice to have

  • MuleSoft Certified Integration Foundations, MuleSoft Certified Platform Architect, MuleSoft Catalyst Consultant, or Salesforce AI Associate certification.
  • Technical, management consulting, enterprise industry, or AI and agent technology experience.

Pay

$123,100 - $186,300 annually (base salary); $147,400 - $202,600 per year (base pay)

Tools

MuleSoft, iPaaS, API-led connectivity, APIs, web services, databases, cloud platforms

AI focus

Preferred foundational understanding of AI and agent technologies, including how AI can enhance automation, customer experiences, and intelligent workflows. Salesforce also uses AI tools to assist recruiters in evaluating resumes and qualifications; humans make hiring decisions.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)