Job description

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions adsknews.autodesk.com, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours. 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. 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. 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. For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it. Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging autodesk.com. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

Requirements

Must-haves

This is a hybrid role based out of either our San Francisco or Toronto office.
Own the LLMX roadmap end to end, and drive adoption and quality against metrics like time-to-first-integration, eval coverage, latency, and cost.
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.
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
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.

Nice-to-haves

Nice to have: experience in industrial operations or asset management.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: ashby
Effort: quick