Customer Success Ops Manager (Automotive)

TL;DR

Customer Success Ops Manager (Automotive): Managing rental car partners and on-site operations to ensure accurate vehicle damage validation and system compliance with an accent on operational excellence and client relationship management. Focus on maximizing client ROI, training on-site teams, and maintaining system accuracy within automotive environments.

Location: Sacramento, CA. Requires willingness to travel up to 50% of the time for site visits.

Salary: $80,000 – $105,000

Company

hirify.global is an AI-centric technology company pioneering the world’s first fully automated suite of vehicle inspection systems using computer vision and machine learning.

What you will do

• Build and maintain trusted relationships with Site GMs and rental partners as the primary point of contact.
• Manage damage validation (DVIRs) to ensure damages are captured and validated with necessary evidence.
• Monitor the support platform daily to track and ensure the resolution of tickets.
• Guide, train, and coach on-site teams in system operation, maintenance, and best practices.
• Analyze key performance metrics to identify trends and maximize ROI for clients.
• Simultaneously manage multiple site relationships while maintaining high customer satisfaction.

Requirements

• 3+ years of experience in Customer Success or Account Management, preferably in SaaS.
• Proven ability to manage multiple strategic accounts or operational projects.
• Strong technical aptitude with general knowledge of software, dashboards, analytics, and CRM platforms.
• Willingness to travel up to 50% of the time for site visits.
• Ability to work on-site in varying environmental conditions (heat, cold, rain) within automotive service lanes.
• Familiarity with the automotive or rental car industry is an advantage.

Culture & Benefits

• Competitive Medical, Dental, and Vision insurance.
• Company 401k match.
• 20 PTO days and company-paid holidays.
• Opportunities for career growth as the company scales across the US.
• Experience with cutting-edge AI, machine learning, and computer vision technologies.