OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
At INFUSE Academy, we build learning experiences that work. We are looking for someone who sits at the intersection of design craft and AI experimentation -- a person who does not wait to be handed a process but builds one, tests it until it holds, and then scales it across the team.
This is not a traditional design role. It is part R&D, part operations, part education.
What you will bring:
- Proficiency in Figma, Illustrator, and Photoshop
- Solid foundation in composition, typography, and color theory
- Experience with data visualization and visual storytelling
- A genuine AI enthusiasm: you follow the space, you experiment independently, and you think in systems
- Ability to move from testing to documentation to teaching without losing momentum
- Strong self-organization -- you can run an open-ended initiative with minimal direction
What you will do:
- Research and test AI tools relevant to learning content production
- Refine workflows until output quality meets the bar, then document and standardize them
- Train the production team on new tools and processes you have validated
- Build courses and learning assets using the workflows you develop
- Own the full cycle: strategy, testing, operationalization, and delivery
What you’ll love about working with us:
- A fun, diverse team of professionals from every corner of the globe
- A never-ending learning journey (b