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Salary
$250k – $350k per year
Location
In office (New York)
Seniority
Staff · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
CharacterQuilt is an AI-native marketing agency that handles data, design, and deployment — end to end — inside the tools your team already uses.

What we're building

Enterprise marketing still runs through agencies because launching one campaign means coordinating specialists across Marketo, HubSpot, Meta, LinkedIn, CMSs, and a dozen other systems. It takes weeks.

CharacterQuilt uses computer-use agents to do that work inside the software companies already use. A campaign that took three months can now ship in two days. We raised $13M and were one of the fastest-growing companies in YC's P26 batch.

The role

You'll own agent quality across CharacterQuilt.

That means the agent architecture, the evaluation system, and the product loop that turns customer feedback into better behavior. The goal is not a better demo. It is agents that reliably create and deploy real work inside real enterprise systems.

What you'll own

  • Agent architecture across planning, browser use, tools, context, skills, and verification.
  • Evaluations built from real customer failures, not synthetic benchmarks.
  • Quality across creative, documents, websites, emails, and campaign deployment.
  • The boundary between model judgment and deterministic software.
  • The technical bar for a growing agent-systems team.

You might be a fit if

  • You've shipped production agents, applied AI systems, or developer tools.
  • You know how to turn failures into useful evaluations and product changes.
  • You have unusually high standards for both engineering and the end product.

Five days a week in Union Square. $250K to $350K base plus 0.5% to 3% equity. We do not sponsor US visas.

1. A founder conversation about the agent systems you have shaped and the work you want to own next.

2. A focused technical screen on a real agent-quality and verification failure.

3. A systems deep dive covering context, skills, tools, browser state, evaluations, approval, and feedback loops.

4. A paid two-day onsite work trial on a bounded agent-system and evaluation project.

5. Senior references and a direct offer conversation with the founder.

The process is designed to create shared evidence. We will share the purpose and rubric for every stage. The paid work trial gives both sides a concrete view of the work, the code, the pace, and the relationship.

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