At Meta, we're shaping experiences in service of giving people the power to build community and bring the world closer together. Our multidisciplinary design teams are creating new ways to help people connect, find communities and grow businesses. Together, we are committed to building technologies — Facebook, Instagram, Messenger, WhatsApp, Meta Quest and more — to serve billions of people around the globe. As a product designer at Meta, you'll have the opportunity to play a central role in the way we build technologies — ensuring they are valuable, easy to use and of the highest level of craft and execution. You'll be involved in every aspect of the product development process, from brainstorming the next great product innovation to tweaking pixels right before launch. We'll expect you to utilize your full range of product design, interaction design and visual design skills, while contributing to high-level strategic decisions with product and executive partners. Join a broad group of thinkers and do some of the most meaningful work of your career. This posting represents different full-time roles across the Meta company.

Qualifications:

Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field 2+ years designing software products with a focus on user experience, interaction, and visual design that meet business objectives Experience utilizing research and data to inform product strategy Demonstrates strategic product thinking and effective communication skills Familiarity with prototyping tools and building low-fidelity mock ups Experience showcasing your end-to-end design process across multiple projects, that include interaction and visual design artifacts and high-fidelity prototypes Experience connecting your work with other related initiatives across the company Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies