Customer Success Manager - Asset Intelligence

What you’ll do

• Serve as a trusted advisor: Build deep relationships with customers and understand their maintenance and reliability objectives. Become a go‑to resource on predictive maintenance, condition‑based monitoring, and asset performance.
• Drive value realization: Help customers define success metrics and quantify ROI from predictive maintenance. Review usage and key performance indicators, perform Quarterly Business Reviews, and recommend strategies to improve asset health, reduce downtime and optimize maintenance costs.
• Educate and enable: Conduct product demonstrations, training sessions, and webinars to ensure customers understand how to use Asset Intelligence features effectively. Provide best‑practice guidance on topics like condition‑based maintenance, usage‑based preventive maintenance, anomaly detection, and downtime tracking.
• Collaborate cross‑functionally: Work with Sales to identify opportunities for upsell and cross‑sell, with Support to resolve issues quickly, and with Product and Engineering to relay customer feedback and influence roadmap priorities.
• Monitor health and mitigate churn: Use behavioral and telemetry data to segment your portfolio, identify customers at risk and develop proactive outreach strategies. Address adoption challenges, present strategies to boost value, and ensure customers renew and expand their subscriptions.
• Be the voice of the customer: Provide feedback to our Product and Engineering teams on integration pain points, data quality, and feature requests to continuously improve our Asset Intelligence offering.

Required Qualifications

• 2+ 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. You have worked with or have a 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. You can explain how streaming data from equipment leads to usage‑based maintenance and condition‑based work orders, and how predictive analytics reduces downtime and maintenance costs.
• Strong communication and interpersonal skills. You build rapport easily, can lead training sessions for both technical and non‑technical audiences, and are comfortable presenting to executives and frontline teams alike.
• Analytical mindset. You enjoy digging into data to track adoption, usage patterns and ROI, and you use insights to drive action.
• Comfortable working in a fast‑paced, dynamic environment and collaborating across multiple teams.

Additional information

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Pay and benefits

Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country.

Belonging. We take pride in a culture where everyone can thrive.