[Remote] Machine Learning Engineering Manager - Asset Intelligence at MaintainX

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Industrial IoT, Asset Management, ManufacturingIndustries

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

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
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

Skills

Key technologies and capabilities for this role

Machine LearningAILLMsPythonReactNode.jsData ScienceIndustrial IoTPredictive MaintenanceAnomaly DetectionFullstack Development

Questions & Answers

Common questions about this position

What experience is required for the Engineering Manager role?

Candidates need 4+ years of engineering management experience, including at least 2+ years leading high-performing AI/ML or applied science teams, plus experience managing teams with Fullstack Developers, AI/ML Developers, and Data Scientists.

What technical skills are needed for this position?

Required skills include knowledge of modern web development frameworks like React and Node.js, API design, and the AI/ML stack such as Python, PyTorch/TensorFlow, scikit-learn, Airflow, Spark, Kubernetes, and JavaScript/TypeScript.

What is the team size and structure under this manager?

The role involves leading cross-functional teams of 6–10 developers, including Fullstack Developers (React/Node.js), ML Developers (Python), and Data Scientists.

What does the company culture emphasize for this role?

The culture emphasizes experimentation, applied research, rigorous measurement, coaching developers to advance careers, recruiting world-class talent, and building high-performance teams that move fast and think big.

What makes a strong candidate for this Engineering Manager position?

Strong candidates have excellent communication and storytelling skills to influence stakeholders, thrive at the intersection of fullstack product engineering and applied AI, and can scale teams to deliver AI/ML products effectively.

MaintainX

SaaS platform for maintenance management

About MaintainX

MaintainX provides a digital platform designed for maintenance and operations management, primarily targeting industrial clients in sectors like manufacturing and food and beverage. The platform operates as a software-as-a-service (SaaS) solution, enabling businesses to track both reactive maintenance, which addresses issues as they arise, and preventive maintenance, which involves regular checks to avoid problems. MaintainX enhances operational efficiency by incorporating artificial intelligence for tasks such as real-time inventory management and asset management. Unlike many competitors, MaintainX offers an open API for easy integration with existing systems and provides educational resources through its Academy to help clients fully utilize the platform. The company's goal is to drive digital transformation in maintenance and operations, improving productivity and reducing manual work for its users.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$90.3MTotal Funding

SERIES_CCompany Stage

Industrial & Manufacturing, Enterprise Software, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Company Equity

Stock Options

Risks

Emerging startups with similar SaaS solutions could erode MaintainX's market share.

Rapid technological advancements may strain MaintainX's resources to stay competitive.

Economic downturns in key industries could reduce spending on maintenance software.

Differentiation

MaintainX offers a comprehensive IoT-enabled maintenance platform for industrial teams.

The platform integrates AI to enhance predictive maintenance and operational efficiency.

MaintainX provides an open API for seamless integration with existing business systems.

Upsides

MaintainX raised $50M in Series C funding, boosting its growth potential.

The trend towards predictive maintenance aligns with MaintainX's AI-powered features.

Increased IoT adoption in industries drives demand for MaintainX's solutions.

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