MaintainX izstrādā mākoņplatformu ar mākslīgā intelekta iespējām uzturēšanas un aktīvu pārvaldībai ražošanas nozarē un citās nozarēs, kurās tiek izmantots liels skaits objektu un iekārtu. Tās mūsdienīgie CMMS un uzņēmuma aktīvu pārvaldības rīki palīdz pirmās līnijas un uzņēmumu līmeņa komandām organizēt darba uzdevumus, plānot profilaktisko un prognozējošo uzturēšanu, pārvaldīt rezerves daļu krājumus, veikt pārbaudes un izmantot kontrolsarakstus, kā arī apkopot aktīvu un IoT datus. Mākslīgā intelekta funkcijas atbalsta pārskatu veidošanu dabiskajā valodā, automātiskus kopsavilkumus, ieteikumus, anomāliju noteikšanu un darbības analīzi. MaintainX nodrošina arī integrācijas, API un uzņēmumiem paredzētu tirgus platformu, un uzņēmums ir orientēts uz lielu organizāciju apkalpošanu. Autodesk ir paziņojis par MaintainX iegādi.
Customer Success Manager, Asset Intelligence
Guide industrial customers as they connect equipment data and IoT systems to MaintainX. Support predictive maintenance adoption, measurable ROI, renewals and improved asset performance.
Apraksts
- Help customers implement and adopt MaintainX asset intelligence solutions.
- Coordinate with operations, reliability and IT stakeholders to bring live equipment data into MaintainX.
- Connect sensors and operational technology systems.
- Help customers achieve measurable return on investment.
- Build customer relationships and learn their maintenance and reliability goals.
- Advise on predictive maintenance, condition-based monitoring and asset performance.
- Set success measures and assess returns from predictive maintenance.
- Review usage and KPIs, lead quarterly business reviews, and recommend ways to improve asset health, cut downtime and control maintenance costs.
- Deliver product demonstrations, training and webinars.
- Share best practices for condition-based and usage-based maintenance, anomaly detection and downtime tracking.
- Work with Sales to identify upsell and cross-sell opportunities.
- Coordinate with Support to resolve customer issues.
- Share customer feedback with Product and Engineering and help shape roadmap priorities.
- Analyze behavioral and telemetry data to segment accounts and spot risk.
- Plan proactive customer outreach, address adoption barriers and support renewals and subscription growth.
- Give Product and Engineering feedback on integration challenges, data quality and feature requests.
Prasības
- At least four years in customer success or a similar customer-facing role at 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 operational technology 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 lower maintenance costs.
- Strong communication and interpersonal skills.
- Ability to lead training for technical and non-technical audiences and present to executives and frontline teams.
- Analytical approach and ability to use adoption, usage and ROI data to guide action.
- Comfort working in a fast-paced, changing environment and collaborating across teams.
Priekšrocības
- Base pay is one component of the compensation package.
- Annual bonus.
- Equity.
- Health coverage.
- Retirement benefits.
- Leave benefits.
- A culture focused on belonging and inclusion.