AI Builder, Principal Experience Designer

Autodesk•Vancouver, BC

1d•$130,000 - $232,320

About The Position

This is a role for an experience design 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 produce designs 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 experience-minded AI Builder, you bring deep experience and product design thinking into the what and the why, and you stay close enough to the build that your direction is grounded in something real. In practice, that means building AI-assisted prototypes, shaping demos, and working directly with real flows and data yourself. You do not maintain design specs or operate production systems. You are accountable for turning friction into opportunity and delivering working proofs that make a new experience credible and hard to dismiss.

Requirements

5+ years driving experience and product design in complex, technical environments, with a strong track record of using prototyping and testing to discover, validate, and evolve solutions
Acts with agency in ambiguous spaces, setting direction and making progress before anyone hands them a plan
Strong design judgment: prioritizes the experience changes that create real value across a workflow, not just within a single screen or feature
Strong craft across interaction design, information architecture, and end-to-end flows, including designing for self-serve and for human plus AI interaction
Hands-on comfort with AI-enabled design and prototyping tools, using them to build and pressure-test experiences, not only to inform specs
Comfortable operating across product, engineering, and experience, shaping solutions end-to-end rather than handing off between functions
Background in workflow-oriented or systems design rather than feature-only or purely visual design
Turns problems and insight into tangible, working experiences, whether prototypes or demos, not just mockups, flows, or specs
Ability to synthesize user needs, business context, and technical constraints into a clear experience direction
Ability to influence stakeholders and build alignment across teams without relying on formal authority
High learning velocity and comfort operating in ambiguous, fast-evolving problem spaces

Nice To Haves

Experience working on 0→1 experiences, ideally in workflow-heavy enterprise products or greenfield SaaS
Designed for AI-enabled products, including patterns for human plus AI interaction
Familiarity with design systems, interaction patterns, and guardrails
Exposure to evaluative and usability research, and using outcomes to guide decisions

Responsibilities

Research how people actually work across the platform, using discovery interviews, journey mapping, and behavioral signals to surface the seams, bottlenecks, and handoffs that make it harder to use than it should be
Define what should exist, turning research insights into a clear experience direction and prioritizing the few opportunities where a better interaction model creates outsized value for customers and the business
Decide what to challenge: actively question whether existing flows, patterns, and interaction models should be replaced, simplified, or significantly improved, and use usability testing and experimentation to settle it on evidence rather than opinion
Prove it: partner with PMs and developers, and get hands-on yourself with AI tools, prototyping tools, and real content and data, to build working, testable prototypes that show the experience holds up with real users, not just that it could
Package the results as clear “before vs after” proof points, grounded in user evidence, that make friction visible and the better experience undeniable, creating pull for change across teams
Translate what the research and proofs reveal into direction: the interaction patterns and experience the platform should adopt next, and a viable path to get there