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 and frontline customers as they adopt MaintainX asset intelligence tools. Connect equipment data and predictive maintenance insights to measurable operational outcomes.
Apraksts
- Guide customers through adopting MaintainX asset intelligence solutions.
- Work with operators, reliability engineers, and IT leaders to integrate live equipment data into MaintainX.
- Connect sensors and operational technology systems.
- Help customers achieve measurable returns on investment.
- Build customer relationships and learn their maintenance and reliability goals.
- Advise customers on predictive maintenance, condition-based monitoring, and asset performance.
- Set success metrics and measure predictive maintenance returns on investment.
- Review product usage and key performance indicators.
- Lead quarterly business reviews.
- Recommend ways to improve asset health, reduce downtime, and lower maintenance costs.
- Deliver product demonstrations, training, and webinars.
- Guide customers on condition-based and usage-based maintenance, anomaly detection, and downtime tracking.
- Work with Sales on opportunities to expand and cross-sell accounts.
- Partner with Support to resolve customer issues.
- Share customer feedback and help shape Product and Engineering roadmap priorities.
- Use behavioral and telemetry data to segment the customer portfolio.
- Spot customers at risk and develop proactive outreach plans.
- Address adoption challenges and support renewals and subscription growth.
- Share Product and Engineering feedback on integration challenges, data quality, and feature requests.
Prasības
- Bring at least four years of experience in Customer Success or a similar customer-facing role at a B2B SaaS company.
- Have experience supporting enterprise accounts with complex implementations and multiple stakeholders.
- Understand industrial maintenance practices and predictive maintenance concepts.
- Have experience with or a strong interest in IoT sensors, machine data, SCADA/PLC systems, Ignition, MQTT, or other operational technology data sources.
- Translate technical concepts into business value.
- Explain streaming equipment data, usage-based maintenance, condition-based work orders, predictive analytics, downtime reduction, and maintenance cost reduction.
- Communicate and work effectively with others.
- Lead training for technical and non-technical audiences.
- Present comfortably to executives and frontline teams.
- Use adoption, usage, and ROI data to guide action.
- Work comfortably in a fast-paced, changing environment and collaborate across teams.
- Be able to work in the listed location.
- Be legally authorized to work in the United States.
Priekšrocības
- The base pay package may include an annual bonus.
- Compensation may include equity.
- Benefits vary by country and may include health coverage, retirement, and leave plans.
- Autodesk benefits information is available for U.S. roles.
- A culture that supports belonging and inclusion.
- Participation in the voluntary diversity and inclusion survey does not affect the application.