Content teams produce more than ever but their output still sounds the same everywhere — because distribution is an afterthought. This role is to build a content adaptation engine that takes one source asset and turns it into channel-native outputs across LinkedIn, X, Instagram, and beyond: genuinely different in tone, structure, and format, not just copy-paste with a different word count. What you'll build: A multimodal ingestion pipeline for source text, images, video, transcripts, or mixed-media assets. A generation system that produces genuinely platform-native outputs across three or more channels. A brand voice memory or control layer that keeps outputs coherent across formats and campaigns. A review workflow that lets operators steer outputs instead of accepting generic one-shot copy. What you'll do: Own the end-to-end product from ingestion and transformation logic to editor experience and delivery workflow. Design brand voice systems that are specific enough to be useful and flexible enough to scale. Build evaluation loops around output quality, channel fit, and consistency across modalities. Get the product in front of content teams quickly and learn where automation creates leverage versus cleanup work. Work with AI Fund's build team on the sharpest wedge, technical architecture, and go-to-market shape.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
11-50 employees