Product Manager, Agentic AI – Autodesk Assistant (Remote)

About Autodesk

As Autodesk transforms how the world designs and makes, Autodesk Platform Services (APS) sits at the heart of this vision—providing the data, APIs, and services that power next-generation design, engineering, and media workflows.

Job Summary

Autodesk is seeking a visionary Product Manager to lead AI-powered platform experiences that help customers unlock the full value of their data through intelligent agents and automation. This role will shape how customers discover, understand, and act on data across Autodesk’s ecosystem—spanning design files, documents, logs, models, and workflows in the cloud.

Key Responsibilities

• Own the full lifecycle of key AI platform initiatives – from vision, strategy, and roadmap to launch, adoption, and iterative improvement.
• Define and deliver AI-powered agent experiences that help users search, summarize, reason over, and take action on data across APS and connected Autodesk products.
• Design user experiences and APIs that make LLMs and intelligent agents truly useful for complex, real-world design and make workflows (not just demos).
• Partner closely with engineering, PMs, and architecture teams to tackle hard problems.
• Engage directly with strategic customers, partners, and internal product teams to deeply understand use cases, validate hypotheses, and prioritize the roadmap.
• Define success metrics, run experiments, and use both qualitative and quantitative signals to make tradeoffs and product decisions.
• Collaborate with GTM, sales, and customer success to craft positioning, packaging, and pricing for new AI platform capabilities.
• Work closely with legal, security, and compliance teams to ensure responsible AI practices, governance, and trust for enterprise customers.
• Help shape the broader AI strategy for Autodesk Platform Services and influence related roadmaps across Autodesk’s product portfolio.

Requirements

• 3 to 8 years of experience in product management and/or software engineering, including experience building cloud or platform products.
• Technical background (Computer Science, Engineering, Mathematics, or equivalent practical experience) with the ability to go deep with engineers and data scientists.
• Strong understanding of modern AI/ML technologies, especially Large language models and prompt/interaction design, Intelligent agents, tools, and orchestration frameworks.
• Proven experience shipping high-impact B2B or enterprise software products, ideally in platform, data, or developer-facing domains.
• Demonstrated ability to define and execute product strategy in ambiguous spaces and bring 0-1 ideas to market.