10+ years in product management, focusing on AI platform, ML infrastructure, or developer platform roles.
Experience shipping production AI services that teams rely on.
Strong opinions on model selection, trade-offs, and evaluation strategies.
Ability to serve both internal teams and external enterprise buyers effectively.
Commercial instinct linking platform investments to competitive advantage.
A systematic approach to keep updated in LLMs and agentic AI.
Data-driven mindset, with a focus on metrics and platform visibility.
Responsibilities
Own the LLMX roadmap and drive its adoption and quality metrics.
Define the essential platform components for advanced agent features.
Manage evaluation infrastructure to ensure quality as production agents scale.
Proactively identify and address upcoming needs across the product organization.
Shape strategic decisions regarding model sources, technologies, and infrastructure.
Benefits
Competitive salary and meaningful equity opportunities.
Healthcare, dental, and vision coverage.
401(k) / RRSP enrolment program.
Unlimited PTO with a take-what-you-need policy.
A team that values meritocracy and recognizes efforts regardless of title.
Full Job Description
We9re hiring a Staff Product Manager to own LLMX, MaintainX9s 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. We9re 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 you9ll 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 MaintainX9s next generation of agentic features possible.
Own the platform9s evaluation infrastructure, including online eval monitoring, dataset promotion, and agent gating, so quality scales as the number of production agents grows.
Work proactively across MaintainX9s entire product organization to identify what upcoming agentic features will need, before those needs become blockers, including demand that9s 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.
You9ve 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.
What9s in it for you
Competitive salary and meaningful equity opportunities.
Healthcare, dental, and vision coverage.
401(k) / RRSP enrolment program.
Take what you need PTO.
A team that reflects our values: Smart, Humble, Optimist, and believes in meritocracy. Ideas and effort get recognized regardless of title.
