Staff Product Manager, LLMX Platform
Offre en anglaisYou will own the end-to-end roadmap for the LLMX AI platform, driving adoption and quality for internal product teams. You will also define platform primitives and evaluation infrastructure to ensure scalable, high-quality agentic features.
- Hybride
- Toronto, ON
- Publié 28 juill. 2026
- 1 poste
D’autres postes auxquels postuler directement
Des possibilités semblables publiées par des employeurs qui recrutent sur Jobs.ca, sans formulaire externe.
City of Toronto
Senior Project Manager CS
- Hybride
Revenu Québec
Cheffe ou chef du Service des produits liés à la facturation obligatoire
- Hybride
Bédard Ressources Humaines
Rembourreur de meubles #1207
- Hybride
Résumé du poste
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, 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. 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. What's 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. 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. Benefits, retirement and time off are described at benefits.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. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ce que vous ferez
You will own the end-to-end roadmap for the LLMX AI platform, driving adoption and quality for internal product teams. You will also define platform primitives and evaluation infrastructure to ensure scalable, high-quality agentic features.
Exigences
Candidates must have 10+ years of product management experience with a focus on AI platforms or ML infrastructure. You need deep technical knowledge of LLMs, agentic architectures, and the ability to balance internal platform needs with enterprise customer outcomes.
Avantages
• Competitive salary • Equity opportunities • Healthcare coverage • Dental coverage • Vision coverage • 401(k) / RRSP enrolment program • Take what you need PTO
Compétences indiquées
- Gestion de produitSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Product management
- AI platform
- ML infrastructure
- LLM
- Agentic AI
- RAG
- Fine-tuning
- Evaluation frameworks
- Latency optimization
- Cost optimization
- Orchestration
- Observability
- Data-driven
- Enterprise software
- Developer platform
- System architecture
- Workflow Management
- Curiosity
- Private Cloud
- Artificial Intelligence
- Asset Management
- Investments
- Equities
- Operations
- Product Management
- Artificial Intelligence Infrastructure
- Machine Learning Infrastructure
Domaines d’emploi
- Technology
- Software
- Management & Leadership
- Data & Analytics
- Engineering
- Platform Product Manager
- Product Manager (General)
- Research and Development Managers
- Marketing Managers
Renseignements supplémentaires
- Expérience minimale
- 10+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Exigences de lieu
- Country, Canada