Founding Creative Engineer – Gooseworks (YC W23) Is Hiring
🚀 Founding Creative Engineer – Gooseworks (YC W23) Is Hiring

Gooseworks is seeking a Founding Creative Engineer to help build the future of self-improving ad creative engines.
📋 Job Specifications
| Detail | Specification |
|---|---|
| Compensation | 200,000 |
| Equity | 0.50% - 1.50% |
| Location | San Francisco, CA / Remote |
| Employment Type | Full-time |
| Experience | Any (New graduates are welcome) |
| Visa Status | Sponsorship available |
🎯 The Vision
"Distribution is the hardest problem every company has."
Currently, getting a product in front of a target audience requires a massive human effort: creators making assets, analysts reading data, and a repetitive weekly cycle. This process is a massive tax on consumer brands because it simply doesn't scale.
The next generation of billion-dollar companies will not grow by adding more people; they will scale via fleets of AI agents managing growth.
Gooseworks is building these self-improving AI agents to handle end-to-end growth—including organic content, UGC, and paid ads—for consumer brands.
📈 Current Traction
- Users: 200+ paying customers.
- Output: 30,000+ ad creatives generated in just 2 months.
- Culture: We are a YC-backed SF startup that utilizes
agent harnessesto run our own internal operations.
🛠️ The Role
As the Founding Creative Engineer, you will be the architect of Gooseworks' own distribution. Your mission is to combine creative taste with systematic scaling.
The core philosophy of this role can be expressed as:
Key Responsibilities:
- AI-Operated Channels: You will design the niches, hooks, formats, and overall content strategy.
- Scaling Organic Reach: Use our internal AI agents to produce high-volume social content.
- Content Strategy:
Focus on "brand" contentFocus on value-driven stories that capture attention.
🧬 The "0 1" Nature of the Job:
- Extreme Ownership: You own the channels from start to finish.
- Aggressive Testing: Rapidly iterate on hypotheses and double down on winners.
🚩 You are likely NOT a fit if:
You require large teams to execute tasks.You have no experience building agent skills or content systems.
⚙️ How the Gooseworks Engine Works
The platform transforms a brand into a perpetual stream of high-performing video ads.
The Technical Loop:
while brand_is_growing:
creative = agent.generate(context_layer, current_trends)
performance = platform.get_metrics(creative)
agent.learn(performance, human_feedback)
context_layer.update(performance)
🎓 Requirements & Interview Process
Proof-of-Work is Mandatory: We need to see short-form content you've created that actually performed. You should already be utilizing AI to push the boundaries of content creation.
Strong Preferences:
- A technical background.
- Proven "muscle" in content creation.
📝 Application Steps:
- Submit Proof-of-Work: Show us your best performing AI-assisted content.
- Founder Chat: A deep dive to see if our visions align.
- Take-home Exercise: Solve a real-world problem we provide.
👥 About the Team
Gooseworks was founded in 2022 and joined the W23 YC Batch. We are a lean team of 5 based in San Francisco.
Founders:
- Shiv Sakhuja

- Himanshu Bamoria
