
MaintainX kuria debesijos pagrindu veikiančią dirbtiniu intelektu paremtą techninės priežiūros ir turto valdymo platformą gamybos bei kitoms daug objektų ir įrangos naudojančioms pramonės šakoms. Šiuolaikiniai CMMS ir įmonės turto valdymo įrankiai padeda pirmosios linijos ir įmonių lygmens komandoms tvarkyti darbo užsakymus, planuoti prevencinę ir prognozuojamąją techninę priežiūrą, valdyti atsarginių dalių atsargas, atlikti patikras ir naudoti kontrolinius sąrašus, taip pat kaupti turto ir daiktų interneto duomenis. Dirbtinio intelekto funkcijos padeda rengti ataskaitas natūralia kalba, automatiškai kurti santraukas ir rekomendacijas, aptikti anomalijas bei analizuoti veiklą. MaintainX taip pat teikia integracijas, API ir įmonėms skirtą prekyvietę, o bendrovė orientuojasi į didelių organizacijų aptarnavimą. „Autodesk“ paskelbė apie „MaintainX“ įsigijimą.
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.
Aprašymas
- 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.
Reikalavimai
- 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.
Privalumai
- 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.