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MaintainX, now part of Autodesk Operations Solutions, is a mobile-first work execution platform used by over 13,000 customers including Duracell, McDonald's, Shell, DHL, and Volvo to reduce unplanned downtime and optimize operations across millions of managed assets and work orders.
As Customer Success Manager – Asset Intelligence, you will drive adoption of MaintainX's asset intelligence solutions by partnering with operators, reliability engineers, and IT leaders. You'll help customers integrate live equipment data, connect sensors and OT systems, and realize measurable ROI from predictive maintenance and condition-based monitoring capabilities.
Key responsibilities include:
• Serve as a trusted advisor to customers, building deep relationships and becoming a go-to resource on predictive maintenance, condition-based monitoring, and asset performance optimization.
• Drive value realization by helping customers define success metrics, quantify ROI, conduct Quarterly Business Reviews, and recommend strategies to improve asset health and reduce downtime.
• Educate and enable customers through product demonstrations, training sessions, and webinars on Asset Intelligence features, condition-based maintenance, anomaly detection, and downtime tracking.
• Collaborate cross-functionally with Sales on upsell/cross-sell opportunities, with Support on issue resolution, and with Product and Engineering to relay customer feedback and influence roadmap priorities.
• Monitor portfolio health using behavioral and telemetry data to identify at-risk customers, develop proactive outreach strategies, and address adoption challenges.
• Provide customer feedback to Product and Engineering teams on integration pain points, data quality, and feature requests.
You will work in a fast-paced environment supporting enterprise accounts with complex implementations and multiple stakeholders, translating technical concepts into business value for both technical and executive audiences.
REQUIREMENTS:
• 4+ years of experience in Customer Success or similar customer-facing role within B2B SaaS, with 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.
• Proven ability to translate technical concepts into business value; ability to explain how streaming equipment data leads to usage-based maintenance and condition-based work orders, and how predictive analytics reduces downtime and costs.
• Strong communication and interpersonal skills; ability to build rapport, lead training sessions for technical and non-technical audiences, and present to executives and frontline teams.
• Analytical mindset with ability to dig into data to track adoption, usage patterns, and ROI, and use insights to drive action.
• Comfortable working in dynamic, fast-paced environments and collaborating across multiple teams.
