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Gooseworks Hiring Founding Creative Engineer

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Growth = your taste * a fleet of video agents * lots of experiment. We want someone who can own this. About Goose Works Distribution is the hardest problem every company has. Getting a product in front of people, over and over, in a way that works. Today that means an army of humans making creative, testing it, reading the numbers, and doing it again next week. It doesn't scale, and it's the single biggest tax on every consumer brand in the world. We think that changes. The billion-dollar companies of the next decade will look different. They won't scale linearly with headcount — they'll be run by fleets of AI agents running growth. Gooseworks is building self-improving AI agents that run growth for consumer brands — ads, UGC, organic — end to end. It’s early - this is just a few months old, but we have very strong pull and are growing fast: 200+ paying users, 30,000+ ad creatives generated by our users in the last 2 months. We're a YC company based in San Francisco, and we run the company on agent harnesses ourselves.

The role: You will own growth and distribution for Goose Works. You will build systems to scale content, with creative taste to improve them. Own creator channels, AI-operated, our voice on X and LinkedIn, the taste layer of our creative agent, and launches end-to-end. We're looking for taste, proof-of-work in short-form content, technical AI video skills, and systems thinking. Strong preferences for a technical background and proven content creator muscle. This is a 0→1 job with high ownership, lots of experimentation, and shipping daily. You're part of the founding team.

You're probably not a fit if you're used to large teams, never created awesome content, never built content systems or agent harnesses, or think AI-generated content is slop. Goose is an AI creative engine turning your brand into a continuous stream of on-brand video ads. We index your materials into a context layer, then generate short-form creative for Meta and TikTok at volume. The engine compounds, learning from performance, competitors, trends, and feedback.