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Gooseworks (YC W23) announces opening for founding builder/engineer role

Gooseworks, a YC-backed startup building self-improving AI agents for ad creative generation, is seeking a founding builder/engineer to join its early team.

WHY IT MATTERS

The hire will shape the core product and agent infrastructure that aims to replace manual creative workflows for consumer brands. Engineers will need to blend full-stack skills with agentic design, influencing how AI-driven growth tools are built and operated. Early-stage equity and direct founder access make the role high-impact but also high-uncertainty.

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The three things worth knowing

01

Gooseworks reports over 200 paying users and more than 30,000 ad creatives generated by its platform in the last two months.

02

The role requires experience with TypeScript, Express, Prisma, Postgres, Next.js/React/Tailwind, Claude Agent SDK, and Trigger.dev.

03

Candidates must have shipped a real product, possess agentic engineering expertise, and show strong product and design sense.

THE READ

What the cluster adds up to.

ORIGINAL ANALYSIS

Gooseworks is adding a founding builder/engineer to its team, signaling a move from early prototype to scaling its self-improving ad creative AI platform. The hire will take ownership of product and engineering decisions, influencing the direction of the agentic system. This reflects the startup’s transition from a few months old to a stage where founding-level responsibilities are being delegated.

Joining as a founding engineer requires deep full-stack proficiency and proven ability to ship products that gain traction. The candidate must also understand agentic engineering, including failure modes of AI agents and how to improve them via performance data. Acquiring or demonstrating this expertise represents a significant personal investment for the applicant and a recruitment cost for the company.

The self-improving agent approach depends on the ability to collect reliable ad performance data and to translate that into improved creative generation; if data is noisy or the agent cannot generalize across brands, the improvement loop may stall. Additionally, the platform’s reliance on a specific TypeScript-centric stack may limit flexibility for teams that prefer other languages or frameworks. Consequently, the technology may not deliver expected gains for brands with highly niche or rapidly changing creative requirements.

Gooseworks prefers in-person work in San Francisco, offering remote only to exceptional candidates, which may affect hiring geography and team cohesion. The early-stage nature means equity and salary are variable, and the role’s success hinges on achieving product-market fit in a competitive market for AI-driven marketing tools. Engineers considering the role must weigh the potential impact of shaping a foundational AI system against the uncertainty inherent in a pre-revenue startup.

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