Customer Success Manager helping industrial teams integrate equipment data and IoT systems into MaintainX. Driving predictive-maintenance adoption, ROI, renewals and asset performance.
Responsibilities
Help customers adopt MaintainX’s asset intelligence solutions
Partner with operators, reliability engineers and IT leaders to integrate live equipment data into MaintainX
Connect sensors and operational technology systems
Ensure customers realize measurable return on investment
Build deep customer relationships and understand maintenance and reliability objectives
Advise on predictive maintenance, condition-based monitoring and asset performance
Define success metrics and quantify ROI from predictive maintenance
Review usage and KPIs, perform Quarterly Business Reviews and recommend strategies to improve asset health, reduce downtime and optimize maintenance costs
Conduct product demonstrations, training sessions and webinars
Provide best-practice guidance on condition-based maintenance, usage-based preventive maintenance, anomaly detection and downtime tracking
Collaborate with Sales on upsell and cross-sell opportunities
Work with Support to resolve issues
Partner with Product and Engineering to relay feedback and influence roadmap priorities
Use behavioral and telemetry data to segment the portfolio and identify at-risk customers
Develop proactive outreach strategies, address adoption challenges and support renewals and subscription expansion
Provide Product and Engineering feedback on integration pain points, data quality and feature requests
Requirements
4+ years of experience in Customer Success or a similar customer-facing role within a B2B SaaS company
Experience supporting enterprise accounts with complex implementations and multiple stakeholders
Familiarity with industrial maintenance practices and predictive maintenance concepts
Experience with or strong interest in IoT sensors, machine data, SCADA/PLC systems, Ignition, MQTT or other OT data sources
Ability to translate technical concepts into business value
Ability to explain streaming equipment data, usage-based maintenance, condition-based work orders, predictive analytics, downtime reduction and maintenance cost reduction
Strong communication and interpersonal skills
Ability to lead training sessions for technical and non-technical audiences and present to executives and frontline teams
Analytical mindset and ability to use adoption, usage and ROI data to drive action
Comfortable working in a fast-paced, dynamic environment and collaborating across multiple teams
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