MaintainX · 21 hours ago
Machine Learning Engineering Manager - Asset Intelligence
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
4+ years expMaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. The Engineering Manager will oversee a cross-functional team focused on the development and deployment of AI/ML products, driving innovation and operational excellence in industrial settings.
Artificial Intelligence (AI)Asset ManagementB2BInformation TechnologyMobileSaaS
Responsibilities
Lead cross-functional teams of 6–10 developers across Fullstack Developers (React/Node.js), ML Developers (Python), and Data Science
Own the roadmap & technical strategy closely with Product, Design, and Engineering to scope and help teams deliver AI-powered features
Drive a culture of experimentation, applied research, and rigorous measurement—making sure we ship models that work in the real world
Lead/Grow/Coach developers on your team, help them develop new skills/experiences, advance their careers
Understand needs for your team and help enable every developer to contribute to the team's goals
Highlight the team’s impact with senior leadership
Recruit and mentor world-class AI/ML talent, building a high-performance team that can move fast and think big
Qualification
Required
4+ years of engineering management experience with at least 2+ years leading high-performing AI/ML and/or applied science teams
Experience managing teams that include Fullstack Developers, AI/ML Developers and Data Scientists
Excellent communication and storytelling skills, with the ability to influence stakeholders across technical and business functions
Knowledge of modern web development frameworks (React, Node.js) and API design
Understanding of the AI/ML stack: Python, PyTorch/TensorFlow, scikit-learn, Airflow, Spark, Kubernetes, as well as JavaScript/TypeScript
Familiarity with ML/LLM ecosystems (e.g. fine-tuning, RAG, prompt orchestration, vector DBs, LlamaIndex, or similar frameworks)
Strong product instincts—able to translate ambiguous problems into measurable experiments and data products
Preferred
Experience working in real-world domains like industrial systems, manufacturing, IoT, logistics, or asset management
Familiarity with time-series modeling, anomaly detection, sensor fusion, and real-time ML inference
Experience with cloud-based ML tooling (AWS, Databricks, etc.)
Benefits
Healthcare, dental, and vision coverage.
401(k) / RRSP enrollment program.
Take what you need PTO.
Company
MaintainX
MaintainX provides a CMMS/EAM platform that streamlines maintenance, work orders, and asset management for industrial and frontline teams.
501-1000 employees
H1B Sponsorship
MaintainX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2022 (1)
Funding
Current Stage
Late StageTotal Funding
$253.8MKey Investors
Bessemer Venture PartnersBain Capital Ventures
2025-07-09Series D· $150M
2023-12-06Series C· $50M
2021-06-09Series B· $39M
Leadership Team
Chris Turlica
CEO & Founder
Hugo Dozois-Caouette
CTO & Co-Founder
Recent News
2025-12-08
Washington Technology
2025-11-23
Company data provided by crunchbase