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MaintainX

AI-driven SaaS for maintenance management

AI Leader

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USARemote

About the Job

Requirements

  • At least 12 years of experience in applied artificial intelligence and machine learning, including at least 7 years leading teams in high-growth, data-driven technology companies.
  • Proven success designing, building, and deploying predictive deep learning models into production at scale, including ranking and recommendation systems, anomaly detection, forecasting, and multimodal models.
  • A track record of organizational leadership, including building AI and machine learning teams, hiring senior technical leaders, and scaling organizations through growth.
  • Deep expertise in one or more of multimodal machine learning involving sensor, text, image, or vibration data; machine learning operations; or agentic AI frameworks.
  • Ability to operate across architecture design reviews and C-suite strategic planning.
  • Strong communication skills to influence across disciplines, present to executive leadership, and inspire technical and non-technical stakeholders.
  • An entrepreneurial approach to ambiguity, action, long-term vision, and near-term execution.

Responsibilities

  • Define the long-term product and platform vision, including progressive milestones and key performance indicators.
  • Enable every MaintainX engineer to incorporate agentic AI tools into feature-development workflows.
  • Translate emerging AI and machine learning research—including generative AI, anomaly detection, remaining useful life prediction, and multimodal fusion—into production-ready solutions that deliver measurable customer value.
  • Build and communicate Autodesk and MaintainX’s position as the AI leader in computerized maintenance management systems and enterprise asset management, differentiating through workflow-native intelligence.
  • Lead the design and development of scalable agentic AI platforms, including retrieval-augmented generation systems, evaluations, and agentic orchestration frameworks.
  • Build data ingestion, processing, and inference pipelines capable of scaling to millions of unstructured documents and videos.
  • Drive delivery of predictive models across tabular, vibration, Internet of Things, and multimodal sensor data, balancing time to market with reliability and scalability.
  • Ensure models are explainable, trusted, and integrated into MaintainX workflows rather than delivered as siloed features.
  • Build and scale a high-performing AI organization spanning platform, machine learning, and product teams.
  • Hire and develop technical leaders and establish a culture of innovation and accountability.
  • Establish a feedback-driven, high-performance culture that empowers teams to take calculated risks and learn from successes and failures.
  • Represent AI internally and externally as a thought leader with executives, customers, and industry stakeholders.
  • Partner with Product and Design to translate customer needs into AI-powered workflows.
  • Collaborate with go-to-market teams to develop AI messaging, customer pilots, pricing strategies, and case studies.

About the Company

MaintainX

AI-driven SaaS for maintenance management

MaintainX offers a subscription-based software platform for maintenance and operations management, targeting industrial sectors like manufacturing and food & beverage. The core product is a SaaS system that helps customers track and manage reactive and preventive maintenance, daily operations, inventory, and assets, with AI-assisted capabilities to optimize workflows. The platform includes an open API for integrating with existing systems and an Academy that provides on-demand lessons and certifications. Compared with competitors, MaintainX emphasizes AI-driven maintenance, real-time inventory and asset management, strong integration options, and an educational component to maximize platform usage. The company aims to digitally transform maintenance and operations to boost efficiency and productivity while reducing manual work across industrial sites.

Company size
501-1,000
Company stage
Acquired
Total funding
$242.8M
Headquarters
San Francisco, CA
Founded
2018

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