Own the LLMX roadmap as a Staff Product Manager at MaintainX, driving AI platform adoption and quality.
Posted by employer 1 month ago
First seen on Joblaze 2 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Own LLMX, MaintainX's internal AI Platform for building AI features.
Requirements
- Experience
- 10+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Staff Product Manager for MaintainX's LLMX Platform is responsible for overseeing the entire roadmap, ensuring the platform's capabilities meet the needs of internal teams and enterprise clients. This role requires a deep understanding of AI systems and product management, with a focus on metrics like integration time and evaluation coverage. Ideal candidates will have over a decade of experience in AI or developer platforms, and a strong ability to balance technical and commercial demands. MaintainX, now part of Autodesk, emphasizes a collaborative environment where innovative ideas are valued.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on MaintainX's careers page November 2, 2026.
- This exact title is also open at 1 other location at MaintainX: San Francisco.
- AI/ML appears in 35.1% of 154 comparable staff product roles in United States; AI systems appears in 0.6% of 154 comparable staff product roles in United States.
Quick facts
- Is the Principal Product Manager role remote?
- It's hybrid — MaintainX expects some on-site time in Toronto.
- How much experience is required?
- At least 10 years of relevant experience for this Principal Product Manager role.
- Where is the role based?
- MaintainX is hiring for this position in Toronto.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI systems, AI/ML, Developer Platform, ML infrastructure.
- What seniority level is this role?
- MaintainX targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Principal Product Manager role at MaintainX.
From the original posting
The Role
We're hiring a Staff 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.
Standard company text repeated across MaintainX's postings is omitted here.