← Back to results

Customer Success Manager - Asset Intelligence

Help customers adopt MaintainX’s asset intelligence solutions as a Customer Success Manager.

Location
Raleigh, United States
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 3 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Apply at MaintainX → Save job Scanned from getmaintainx.com

What you'll build

  • Build relationships with customers
  • Help customers define success metrics
  • Conduct product demonstrations
  • Work with Sales to identify upsell opportunities
  • Use data to identify customers at risk

Must have

  • 4+ years of experience in Customer Success or similar role
  • Familiarity with industrial maintenance practices
  • Proven ability to translate technical concepts into business value
  • Strong communication and interpersonal skills
  • Analytical mindset

Requirements

Experience
4+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

The Customer Success Manager for Asset Intelligence at MaintainX focuses on helping clients effectively adopt and integrate asset intelligence solutions into their operations. This role requires expertise in industrial IoT, predictive maintenance, and data analytics, as the CSM collaborates with various stakeholders to ensure customers achieve measurable ROI. Ideal candidates have a background in customer success within B2B SaaS, along with strong communication skills to engage both technical and non-technical audiences. The position emphasizes cross-functional collaboration and a data-driven approach to enhance customer satisfaction and retention.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 15, 2026. Last confirmed on MaintainX's careers page October 15, 2026.
  • This exact title is also open at 1 other location at MaintainX: Toronto, Canada.
  • PLC appears in 2.2% of 3044 comparable mid other roles in United States; MQTT appears in 0.1% of 3044 comparable mid other roles in United States.

Quick facts

How much experience is required?
At least 4 years of relevant experience for this Customer Success Manager - Asset Intelligence role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Data Analytics, IoT, MQTT, PLC, SCADA, predictive maintenance.
What seniority level is this role?
MaintainX targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Customer Success Manager - Asset Intelligence role at MaintainX.

From the original posting

As the Customer Success Manager (CSM) – Asset Intelligence, you will be responsible for helping customers adopt MaintainX’s asset intelligence solutions. You will partner with operators, reliability engineers, and IT leaders to integrate live equipment data into MaintainX, connect sensors and operational technology (OT) systems, and ensure customers realize measurable return on investment from these solutions. This role sits at the intersection of customer success, industrial IoT, and data analytics. You will collaborate closely with our Account Managers, Product Managers, and Engineering teams to shape how customers use and benefit from our Asset Intelligence capabilities.

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:

  • 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. 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.

Standard company text repeated across MaintainX's postings is omitted here.