About the role
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. About MaintainX MaintainX is the world's leading mobile-first work execution platform for industrial and frontline teams. We help over 13,000 customers, including Duracell, Shell, Marriott, McDonald's, Volvo, DHL, and AB InBev, reduce unplanned downtime and run more efficient operations. In July 2025 we closed a $150M Series D led by Bessemer Venture Partners, bringing total funding to $254M at a $2.5B valuation. We were named to the 2025 Forbes Cloud 100, Forbes America's Best Startup Employers 2025, and ranked #1 in EAM and CMMS on G2's Summer 2025 report. The market is at a turning point. Manufacturing will need to fill 3.8 million vacant jobs through 2033. Technicians spend roughly 60% of their time on paperwork and research instead of actual wrench work. Most manufacturers expect to adopt AI-driven maintenance at scale by 2027. Our AI Platform is how we make that transition real for the frontline.
The Role Our AI Platform is the catalog of Agents, Skills, and Tools that every product engineer at MaintainX assembles to ship AI-powered features. CoPilot, Root Cause Analysis, the Parts Agent, and the Scheduling Agent all run on it. As Principal Engineer, you will own the technical vision for the AI platform and scale it to match our ambition. This is a senior individual contributor role reporting to VP of Engineering. You will lead through architecture, high-leverage technical decisions and products that produce long-term company outcomes. You will set direction across multiple divisions, align executives on platform strategy, and hold leaders accountable for engineering-wide adoption. What you will own: Define the Agent / Skill / Tool architecture . Evolve the platform so agents can reason, plan, and collaborate, skills are discoverable and reused across workflows, and tools expose structured, permission-aware access to operational data. Design for progressive autonomy as trust, reliability, and governance mature. Scale the context graph. Architect the retrieval and knowledge systems that turn 14,000+ digitized equipment manuals, 370,000+ procedures created yearly, and 27M+ annual work orders into customer-specific intelligence with cross-asset reasoning. Build the developer experience. Own agent orchestration, an MCP tool registry, reproducible dev environments, and the observability layer that makes agents trustworthy at scale. Engineers should define agent behavior through schemas and prompts while the platform handles routing, validation, evaluation, and observability. Build the evaluation and feedback loop. Design offline and online evaluation systems so every user interaction (accept, refine, override) improves agent performance. Drive cross-division alignment. Partner with product engineering teams across Plant Setup, Maintenance Planning, Maintenance Execution, Reliability Engineering, Parts & Purchasing, and Reporting. Represent MaintainX engineering internally and externally. You have 10+ years of software engineering experience, with significant depth in backend systems, distributed architecture, or platform / infrastructure engineering. 3+ years building ML or LLM-powered systems in production, with real operating experience around evaluation, latency, cost, and reliability. A track record of company-wide technical leadership at the Principal level. You have defined architecture for systems used by multiple teams, influenced engineering strategy beyond a single division, and held leaders accountable for adoption. Internal platform experience where your customers are other engineers. You treat developer experience as a product: adoption, documentation, enablement, and ergonomics are first-class. Strong Python backend expertise, with experience designing APIs, services, and data pipelines. The ability to write a clear design document, facilitate a technical decision across teams, and represent engineering externally with credibility.
