Creative AI Product Builder

Description

Artlist is the leading AI creation platform helping teams build, deploy, and scale their content output by combining all the leading AI models, AI tools, and a world-class stock catalog in one place. Plus, with a dedicated partnership from our award-winning creative team, organizations have everything they need to succeed with AI today. Trusted by 50M+ creators and 50% of Fortune 100 companies worldwide including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license to produce professional video content efficiently and securely. For more information, visit artlist.io.

As a Creative AI Builder, you will explore and build the future of creative production with generative AI.

We are looking for someone who combines creative thinking, technical fluency, and strong product instincts with a hands-on builder mindset.

You will work inside a small, fast-moving Product R&D team, exploring emerging technologies, identifying new creative opportunities, and turning ideas into working prototypes and product experiences.

You should be comfortable moving from

new technology → creative opportunity → prototype → user experience → product

You won't stop at concepts, presentations, or requirements. You will build, test, iterate, and use working experiences to shape what the product should become.

What You'll Do

• Explore emerging generative AI models, tools, and technologies across image, video, audio, and multimodal creation.
• Identify new creative workflows and product opportunities enabled by emerging technologies.
• Build workflows, mini-apps, and prototypes that turn new AI capabilities into real, testable creative experiences - from quick experiments to concepts that can evolve into product features.
• Evaluate models based not only on technical quality, but on the creative possibilities they unlock.
• Work hands-on with APIs, AI models, automation tools, lightweight code, and AI-assisted development environments.
• Define how new experiences should behave and work closely with Product builders, Design, Engineering, Content, and AI teams to bring them forward.
• Use product data, experimentation, and qualitative feedback to understand what works, what fails, and what should be improved.