Principal Product Manager

The Role

We're hiring a Principal Product Manager to own LLMX, MaintainX's internal AI Platform: the runtime, orchestration, evaluation, and observability layer that every product team builds their AI features on. This is one of the highest-leverage seats in the company. Every agent, every AI-powered workflow, and every intelligent capability we ship depends on decisions you make. We're looking for a rare combination of genuine technical depth in AI systems mixed with a commercial instinct anchored in curiosity.

This is a hybrid role based out of either our San Francisco or Toronto office.

What you'll do

• Own the LLMX roadmap end to end, and drive adoption and quality against metrics like time-to-first-integration, eval coverage, latency, and cost.
• Define the platform primitives, including routing agents, skill orchestration, human-in-the-loop workflows, agent memory, conversation compaction, and the app-wide conversational interface, that make MaintainX's next generation of agentic features possible.
• Own the platform's evaluation infrastructure, including online eval monitoring, dataset promotion, and agent gating, so quality scales as the number of production agents grows.
• Work proactively across MaintainX's entire product organization to identify what upcoming agentic features will need, before those needs become blockers, including demand that's still nascent.
• Shape build vs. buy vs. integrate decisions for models, providers, and infrastructure, staying ahead of the state of the art in LLMs and agentic AI.

About you

• 10+ years in product management, with meaningful experience in AI platform, ML infrastructure, or developer platform roles.
• You've shipped production AI services that other teams built on, and you know what it takes to earn and keep their trust.
• Real, informed opinions on model selection, RAG vs. fine-tuning trade-offs, agentic architectures, evaluation frameworks, and latency/cost optimization.
• Comfortable serving two customers at once: the internal teams building on your platform, and the enterprise buyers whose outcomes depend on it.
• Strong commercial instinct, connecting platform investment to enterprise differentiation, competitive positioning, and deal cycles.
• A real system for staying current in LLMs and agentic AI, and the discipline to apply it without chasing every new release.
• Data-driven by default: you define success in metrics, instrument your platform, and use evals to make quality visible at scale
• Nice to have: experience in industrial operations or asset management.

Additional information

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Pay and benefits

Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country.

Belonging. We take pride in a culture where everyone can thrive.