Senior Manager, AI-Driven Global Tech Support (Remote)

ProcessUnity, Inc.

United States

On-site

USD 130,000 - 200,000

Full time

14 days+

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Job summary

ProcessUnity, Inc. is seeking a Senior Manager of Technical Support to own the health of our global support function across the Global Risk Exchange and Workflow platforms.

You will lead a team of engineers, manage high-stakes enterprise escalations, and partner with engineering on triage and AI-driven support initiatives. This is a remote role open to candidates located in the United States, with accountability for SLA performance, knowledge management, and continuous process improvements

Qualifications

  • Minimum 5+ years in customer/technical support.
  • At least 3 years directly managing a B2B SaaS support team.
  • Proven use of AI tools to drive process and documentation.
  • Experience owning an AI-driven support ecosystem end-to-end.
  • Data-driven approach to performance management and promotions.

Responsibilities

  • Own end-to-end health of the support function: resolution quality, escalation rate, handoff rate, and self-service deflection.
  • Provide after-hours on-call coverage for emergencies as part of 24x7 support.
  • Manage SLAs, backlog, and trend analysis for the support function.
  • Coach global support engineers handling L2 escalations across authentication, platform config, and integrations.
  • Own escalation relationships with large enterprise accounts in regulated industries.

Skills

Support leadership
B2B SaaS support
AI-driven support
Cross-functional collaboration
Operations metrics
Salesforce admin

Job description

ProcessUnity, Inc. is seeking a Senior Manager of Technical Support to own the health of our global support function across the Global Risk Exchange and Workflow platforms.

You will lead a team of engineers, manage high-stakes enterprise escalations, and partner with engineering on triage and AI-driven support initiatives. This is a remote role open to candidates located in the United States, with accountability for SLA performance, knowledge management, and continuous process improvements

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