Manager, MRO at Stable Auto

Warsaw, Indiana, United States

Stable Auto Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, ManufacturingIndustries

Requirements

  • Bachelor’s degree in Supply Chain, Engineering, Business, or Finance or equivalent experience
  • 8+ years of MRO management experience in automotive or high-volume manufacturing
  • Experience managing cycle counts and physical inventory programs
  • Experience with lean manufacturing, reliability programs, and cost reduction initiatives
  • Proven ability to work with cross-functional factory teams to define and execute MRO scope
  • Strong knowledge of MRO categories, vendor negotiations, and inventory optimization
  • Proficiency in ERP systems (e.g., SAP, Oracle, Microsoft Dynamics) and CMMS platforms
  • Excellent communication, analytical, and leadership skills

Responsibilities

  • Develop and lead the MRO strategy to support uptime, lean operations, and cost optimization across the facility
  • Manage procurement, inventory, and supplier relationships for spare parts, tooling, and indirect materials
  • Collaborate cross-functionally with Manufacturing, Maintenance, Facilities, Production Control, EHS, HR, and Finance to align MRO scope with production schedules, safety standards, and financial targets
  • Implement and optimize ERP/CMMS systems to improve inventory tracking, replenishment, and usage analytics
  • Lead cycle counts and physical inventory audits to ensure accuracy, traceability, and compliance
  • Ensure regulatory compliance with ISO/IATF standards, environmental regulations, and audit requirements
  • Drive continuous improvement in MRO processes, including spend analysis and inventory accuracy
  • Mentor and support MRO buyers and storeroom personnel, fostering a culture of transparency, accountability, and operational excellence

Skills

MRO
Procurement
Inventory Management
Supplier Management
ERP
CMMS
Cycle Counts
ISO
IATF
Spend Analysis
Lean Operations
Continuous Improvement

Stable Auto

Optimizes charging infrastructure for electric vehicle fleets

About Stable Auto

Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$18.4MTotal Funding
SERIES_ACompany Stage
Automotive & Transportation, Consulting, AI & Machine LearningIndustries
11-50Employees

Benefits

Flexible Work Hours
Remote Work Options
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Parental Leave

Risks

Increased competition from established players like Shell may limit market share.
Low utilization rates of EV chargers threaten the profitability of infrastructure investments.
Rapid growth in public fast charging sites may reduce demand for consulting services.

Differentiation

Stable Auto uses machine learning to optimize EV fleet charging infrastructure.
The company offers customized solutions tailored to each client's specific needs.
Stable Auto's team includes experts from top companies and academic institutions.

Upsides

Partnerships with companies like Blink Charging enhance Stable Auto's market presence.
The rise of vehicle-to-grid technology offers new revenue streams for fleet operators.
AI-driven predictive maintenance reduces downtime and maintenance costs for charging stations.

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