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We’re looking for an Engineering Manager to manage a cross-functional team of Applied Machine Learning Developers, Data Scientists, and Software Developers responsible for end-to-end development and deployment of AI/ML products—including but not limited to predictive & prescriptive maintenance models, intelligent work recommendations, LLM-driven procedures, and real-time anomaly detection. This role is ideal for someone who thrives at the intersection of Fullstack Product Engineering and Applied AI, and who can scale a team to deliver across both. You’ll help set the technical vision for AI/ML at MaintainX, partnering closely with Product, Data Engineering, and cross-functional product teams to operationalize intelligence at scale.
Job Responsibility:
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
Requirements:
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
Nice to have:
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.)
What we offer:
Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO
A Work Culture where: You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists
We believe in meritocracy, where ideas and effort are publicly celebrated