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MaintainX, now part of Autodesk Operations Solutions, is a mobile-first work execution platform serving 13,000+ customers including Duracell, McDonald's, Shell, DHL, and Volvo. The platform manages 13.9 million assets and 79.5 million completed work orders annually.
As Customer Success Manager for Asset Intelligence, you will drive adoption of MaintainX's asset intelligence solutions with enterprise customers. You'll partner with operators, reliability engineers, and IT leaders to integrate live equipment data, connect sensors and OT systems, and ensure measurable ROI. This role bridges customer success, industrial IoT, and data analytics.
Key responsibilities include:
- Serve as a trusted advisor, building deep relationships with customers to understand their maintenance and reliability objectives. Become the go-to resource on predictive maintenance, condition-based monitoring, and asset performance.
- Drive value realization by helping customers define success metrics, quantify ROI from predictive maintenance, review usage and KPIs, 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, usage-based preventive maintenance, anomaly detection, and downtime tracking.
- Collaborate cross-functionally with Sales on upsell/cross-sell opportunities, with Support to resolve issues, and with Product and Engineering to relay customer feedback and influence roadmap priorities.
- Monitor portfolio health using behavioral and telemetry data to segment accounts, identify at-risk customers, and develop proactive outreach strategies to address adoption challenges and drive renewal and expansion.
- Provide customer feedback to Product and Engineering teams on integration pain points, data quality, and feature requests.
Requirements:
- 4+ years of Customer Success or similar customer-facing experience in B2B SaaS, with proven ability to support 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. Can explain how streaming equipment data leads to usage-based maintenance and condition-based work orders, and how predictive analytics reduces downtime and maintenance costs.
- Strong communication and interpersonal skills. Build rapport easily, lead training for technical and non-technical audiences, and present comfortably 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 in fast-paced, dynamic environments and collaborating across multiple teams.
