AI Design Generalist

Meta•Menlo Park, CA

8d•$48 - $133,000

About The Position

Meta is seeking an AI Design Generalist to join our design team across our central products organization. This is a new kind of design role — you'll use AI as your primary tool to design products, features, and flows, working across product design, content design, and front-end development. With guidance from designers and your manager, you'll learn to draw on design system foundations, content voice and tone guidelines, and front-end frameworks to ship experiences from problem framing through production code.

Requirements

Experience in Product Design, Content Design, or related UX discipline with foundational skills in interaction design, visual design, or UX writing
Currently has, or in the process of obtaining, a Bachelors or Masters degree in design or related design field. Degree must be completed prior to joining Meta
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
AI tool familiarity with hands-on experience or demonstrated aptitude using AI design tools, prompt engineering, and content generation platforms
Prototyping skills with demonstrated experience to create wireframes and mocks, and eagerness to build functional prototypes
Systems thinking awareness to help design solutions that work across products and platforms, with support from your team
Cross-functional collaboration experience working effectively with engineering, product management, research, and data science teams
Portfolio demonstrating your design process, teamwork, and contributions to user experience improvements
Communication skills to share design decisions, participate in critique, and contribute to team discussions
Proven experience in Design: Apply developing expertise in visual, interaction, and content design to craft and deliver high-quality user experiences through AI tools. Give and solicit feedback from other designers to continually raise the bar

Nice To Haves

Hybrid design background or demonstrated interest in both Product Design and Content Design disciplines — can come from either
Technical curiosity including basic coding experience, interest in learning core engineering concepts and terminology
AI product exposure having worked on or contributed to conversational AI, generative AI features, or AI-native product development — including internship or academic experience
System design awareness in information architecture, scalable content frameworks and design systems
Experience with accessibility and designing for broad range of audiences, perspectives and backgrounds
Emerging technology interest staying current with AI design tools, spatial computing, and multimodal interface design

Responsibilities

Design across disciplines: Use AI tools and agents to design user experiences that integrate visual, interaction, content, and front-end elements — developing your experience to work fluidly across traditional product design and content design boundaries
Bring ideas to life in prototypes: Use AI to generate functional prototypes to explore and validate design directions, incorporating feedback from your manager and team members to build conviction in the approach
Support production changes: Use AI to generate implementable, testable code and partner with engineers to land direct changes in product
Exploration: Use AI tools across the design process — from initial framing and ideation, through iteration of static elements, to functional prototyping and contributing to production diffs — within a defined product area
Learning & iteration: Stay current with AI tool evolution and actively participate in team knowledge sharing. Use AI to gather and synthesize insights, prototype ideas, and iterate through qualitative feedback, live testing, and measurement
Support stakeholder alignment: Contribute to stakeholder alignment through prototypes and data-informed design decisions that balance user needs with business objectives, with support from your manager and team leads
Build partnerships: Work effectively with engineering, product, and research. Use AI-generated prototypes and production-ready code to move faster with cross-functional partners
Communicate your work clearly: Communicate your design decisions and rationale. Share work proactively in critique and cross-functional forums
Demonstrate responsible AI usage: Consistently protect people, data, and intellectual property by following policy-compliant, transparent practices and applying secure-by-design workflows that enable trusted, scalable adoption
Community involvement through learning, sharing, or participating in the advancement of AI-native design practices