Diligent Robotics

Compensation

Full Description

Job Description: • Own and administer MaintainX and associated fleet management / configuration management systems. • Establish system standards, data hygiene practices, asset hierarchies, and governance models. • Ensure configuration control across hardware, firmware, and software fleet variants. • Define, own, and continuously refine fleet performance KPIs (availability, MTBF, MTTR, utilization, failure rates, etc.). • Build dashboards and reporting frameworks that provide real-time and trend-based insights. • Track leading and lagging indicators impacting fleet reliability and customer experience. • Partner with Data and Engineering teams to ensure data accuracy, accessibility, and quality. • Proactively analyze performance trends across sites, configurations, and environments. • Identify systemic issues impacting uptime, reliability, and service delivery. • Translate data insights into prioritized operational and engineering initiatives. • Drive post-incident reviews with structured root cause documentation and corrective action tracking. • Build and mentor a high-performing fleet analytics and systems team. • Create documentation, playbooks, and operational standards to support rapid scaling. • Serve as the escalation point for fleet system integrity and performance data accuracy. • Champion a culture of operational rigor, data-driven decision-making, and continuous improvement. Requirements: • 7–10+ years of experience in fleet operations, robotics, autonomous systems, hardware operations, or complex distributed systems. • Proven ownership of fleet management systems (e.g., MaintainX or equivalent CMMS/Fleet platforms). • Experience leading metric definition, KPI governance, and performance analytics at scale. • Strong background in configuration management and lifecycle governance. • Experience building performance dashboards (Looker, Tableau, Power BI, or similar). • Deep understanding of reliability metrics (MTBF, MTTR, availability modeling). • Ability to synthesize large datasets into clear, executive-level insights. • Experience managing and developing high-performing teams. • Ability to influence across Engineering, Operations, and Product. • Strong program management skills with a structured approach to scaling processes. • Exceptional written and verbal communication skills. Benefits: