Apply on Employer Site

MaintainX · 10 hours ago

Account Executive – Asset Intelligence

United States

Full-time

Remote

Mid Level

4+ years exp

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. The Account Executive – Asset Intelligence will focus on transforming how industrial customers maintain and operate their equipment by owning the full sales cycle for Asset Intelligence solutions and collaborating with various teams to position MaintainX as a leader in the field.

Artificial Intelligence (AI)Asset ManagementB2BInformation TechnologyMobileSaaS

Responsibilities

Own the Asset Intelligence sales motion

Manage a full-cycle sales process for Asset Intelligence deals: prospecting, discovery, business case development, demos, pilots/POCs, negotiation, and close

Build and maintain a healthy pipeline of qualified opportunities, accurately forecasting monthly and quarterly results in CRM

Partner with core platform AEs and CSMs to identify and drive Asset Intelligence expansion within existing MaintainX customers

Engage with maintenance, reliability, operations, and engineering leaders to understand their asset strategies, downtime challenges, and data landscape

Map customer use cases to MaintainX capabilities across IoT sensors, anomaly detection, predictive maintenance, and AI-powered reporting

Quantify business impact using metrics such as reduced unplanned downtime, improved MTBF/MTTR, inventory optimization, and labor utilization

Structure and lead pilots/POCs that validate predictive maintenance and anomaly detection use cases on high-value assets

Collaborate with Solutions Consultants and Implementation teams to define success criteria, timelines, and rollout plans

Translate technical results into clear business outcomes and ROI for executive decision-makers

Deliver tailored product demos and executive presentations that clearly articulate the Asset Intelligence vision and roadmap

Position MaintainX against alternatives (legacy CMMS, point predictive tools, internal builds) with a focus on unified data, frontline usability, and AI depth

Share market feedback and competitive insights with Product and Marketing to refine messaging and inform roadmap

Maintain clean, up-to-date account and opportunity data in Salesforce (or equivalent tools)

Collaborate cross-functionally to ensure seamless handoff from new sale to implementation and ongoing success

Embrace a high-growth, iterative environment—testing outbound strategies, refining messaging, and helping shape the playbook for Asset Intelligence sales

Qualification

B2B SaaS salesPredictive maintenanceIoTAI/MLValue-selling frameworksSalesforceCommunicationDetail-orientedSelf-starter mindset

Required

4+ years of B2B SaaS sales experience, with at least 2+ years selling into industrial / manufacturing / asset-intensive environments (e.g., maintenance, reliability, operations, plant management)

Proven track record of exceeding quota in a full-cycle AE role (prospecting through close) with an average deal size in the mid-market or enterprise range

Strong command of value-selling and discovery frameworks, particularly around ROI, total cost of ownership, and operational KPIs

Comfortable selling technical products—ideally involving data platforms, IoT, analytics, or AI/ML—and working with both business and technical stakeholders

Excellent communication and presentation skills; able to distill complex concepts (IoT, predictive models, AI recommendations) into clear business value

Highly organized and detail-oriented, with strong pipeline management and forecasting discipline

Self-starter mindset: you enjoy building something new, iterating quickly, and operating in a fast-paced, high-growth environment

Preferred

Experience selling CMMS, EAM, APM, industrial IoT, condition monitoring, or reliability/maintenance software

Familiarity with asset-heavy industries such as general manufacturing, food & beverage, building materials, automotive, chemicals, logistics, or utilities

Prior success as a “specialist” or overlay AE selling a specific product line or solution area

Experience partnering with AI/ML or data science teams on customer-facing initiatives