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Wellspoken Labs Inc. is seeking a UGC Engineer to own creator performance, develop engaging formats, build a learning system, and keep the program running efficiently.
You will diagnose why content underperforms, design practical tests, and drive improvements across TikTok, Instagram, and other platforms. You will coach creators on delivery, hooks, pacing, scripting, and editing, coordinate briefs and reviews, and help scale the program with data-driven decisions in a fast-growing consumer app
Own how our creator program performs: coach creators, invent formats, and work out why content wins when there's no obvious answer.
About the role
We're a US-based AI app studio building consumer mobile products. Our flagship product, Wellspoken, is live on iOS and Android, profitable, and growing quickly. We're also building our second app.
UGC is one of our most important growth channels. We work with a network of creators producing short-form content across TikTok, Instagram, and other platforms, and the core infrastructure is already in place: creators, briefs, content review, tracking, and payments.
Now we want someone who can make the system materially better over time.
We call this role UGC Engineer because it goes beyond creator management. You'll be responsible for understanding why content works, diagnosing why it doesn't, improving creators, developing better formats, and continuously finding ways to make the program more effective.
There often won't be an obvious answer. That's a big part of the job.
Own creator performance
Develop and improve formats
Solve ambiguous performance problems
A big part of this role is figuring out things nobody has a clean answer to yet. For example: a creator had several breakout videos, and now their last 20 posts are underperforming despite similar execution.
Is it the creator? The account? The format? Audience fatigue? The hook? Something else?
You'll be expected to break a problem like that into plausible explanations, separate what we know from what we're guessing, design practical tests, learn from the results, and decide what to try next.
We expect you to keep pushing until we understand the problem better than we did yesterday.
Build a learning system
Keep the machine running
What we're looking for
We care more about how you think than about a traditional background. You're likely a strong fit if:
Most importantly, you enjoy ambiguous problems
When something stops working and there's no obvious playbook, your instinct is to dig into it. You form hypotheses. You test things. You learn. You try again.
You decide what to try next on your own, and you read a setback as information about where to look. You're confident you can make progress while the final answer is still out of reach.
Compensation