About This Webinar

In this webinar, we’ll explore everything you need to know to build a successful career in AI product design. We’ll dive into the unique skills required to design intuitive, user-centered AI products, understand the evolving expectations of the industry, and learn how to create a portfolio that speaks to AI-driven companies. We’ll also provide practical tips for job applications and interview strategies specific to the AI product design space. Whether you’re an experienced UX or product designer or just starting, we’ll give you the actionable insights you need to thrive in the exciting world of AI product design.

Webinar Objectives

Understand AI vs. Traditional Product Design – Explore the key differences, challenges, and opportunities in designing AI and traditional product design.
Develop Essential AI Design Skills – Learn what sets AI product designers apart and how to build the expertise employers seek.
Create a Standout Portfolio – Learn how to tailor your portfolio to showcase your strengths and potential as an AI product designer.
Navigate the Job Market – Gain insight into the application process and what employers look for when hiring for AI-focused roles.
Ace the Interview – Prepare for AI-product design job applications and interviews with practical tips and strategies for presenting yourself confidently.

Meet the Speaker

Micaela Dixon is a Product Designer with 5+ years of experience specializing in AI-powered experiences. She bridges the gap between user needs and business goals, using deep research, strategic thinking, and creative solutions to deliver impactful products.

An expert in AI design, Micaela is skilled in navigating challenges like data collection, model training, and ensuring transparency in user interactions. She’s passionate about ethical design, accessibility, and creating scalable systems that prioritize user experience and business success.

Micaela advocates for ethical AI design as the AI Product Designer at Carbon Instincts and the founder of @UXDesignForAI, an open-source lab merging UX and AI research. Her work is driven by data-informed decisions, with a focus on building inclusive technology that fosters positive societal impact.