AI Builder, Principal Product Manager

Autodesk•Vancouver, BC

1d•CA$142,000 - CA$207,900•Onsite

About The Position

This is a role for a product leader who wants to fundamentally change how the platform works, and can prove it, not just pitch it. You will join a small, AI-native disrupt squad within Autodesk’s Platform Services & Emerging Technologies (PSET) organization, accountable for redefining how the platform is experienced, accessed, and built upon. You won’t be handed a roadmap. You will identify high-leverage opportunities, define what should exist, and demonstrate a dramatically better way through working proofs, using AI, real systems, and rapid experimentation. Your role is not to write requirements and hand them off. On this team, product thinking, experience design, and engineering are rethinking how to work as an AI native delivery team. As the product-minded AI Builder, you bring deep product thinking into the what and the why, and you stay close enough to the how that your direction is grounded in something real. In practice, that means building AI-assisted prototypes, shaping demos, and working directly with data yourself. Your focus is not on managing backlogs or operating production systems. You are accountable for turning friction into opportunity and delivering working proofs that make a new approach credible and hard to dismiss.

Requirements

8+ years driving product direction in complex, technical environments, with deep customer and business understanding and a strong track record of using experimentation to discover, validate, and evolve solutions
Acts with agency in ambiguous spaces, setting direction and making progress before anyone hands them a plan
Strong product judgment: consistently prioritizes what creates disproportionate value across systems, not just within a single feature or area
Hands-on experience building AI-assisted prototypes or demos (prompt design, agentic workflows, tool integrations) to validate direction
Proven ability to operate across product, engineering, and experience, shaping solutions end-to-end rather than handing off between functions
Turns high-leverage problems and insight into tangible, working outcomes, whether prototypes or proofs, not just requirements, decks, or roadmaps
Strong ability to synthesize user needs, business context, and technical constraints into clear, defensible direction
Demonstrated ability to influence stakeholders and drive alignment across teams without relying on formal authority
High learning velocity and comfort operating in ambiguous, fast-evolving problem spaces

Nice To Haves

Shipped 0→1 products or features, ideally in workflow-heavy enterprise products or greenfield SaaS
Ability to structure product intent as an interface for agentic work, validated through hypothesis-driven, metrics-based iteration.
Experience comparing multiple solution approaches and deciding based on outcomes, not opinions
Familiarity with complex multi-system environments and navigate platform level changes required to achieve business outcomes

Responsibilities

Find the seams, bottlenecks, and handoffs that make the platform harder to use than it should be, and identify the few where a different approach creates outsized value for customers and the business
Define what should exist, framing fuzzy, multi-system problems into a clear direction the team can build against
Decide what to challenge: actively question whether existing capabilities should be replaced, simplified, or significantly improved, and use experimentation to settle it on evidence rather than opinion
Prove it: partner with experience designers and developers, and get hands-on yourself with AI tools, prompts, and data, to build working proofs that show something actually works, not just that it could
Package the results as clear “before vs after” proof points that make friction visible and the better approach undeniable, creating pull for change across teams
Translate what the proofs reveal into direction: what the platform should become next, and a viable path to get there