Marketing campaigns often require weeks of operational setup across separate software platforms. Teams spend over 80% of campaign launch cycles configuring contact segments, writing HTML, formatting assets, and mapping automated workflows inside software like Pardot, LinkedIn, or Marketo. is building artificial intelligence infrastructure that handles this execution layer directly within enterprise tools.
Founded in 2024, the four-person company provides autonomous agents that ingest brand guidelines, past performance data, and asset repositories to build and deploy marketing campaigns from text briefs. Rather than generating templated text, the software reverse-engineers corporate design rules and messaging to create on-brand visual and copy assets.
In a video titled CharacterQuilt Overview, the company demonstrated how its software ingests Figma designs and CRM records to build micro-segments and generate custom ad graphics. The system then publishes campaign assets directly into third-party tools, including HubSpot, Klaviyo, and Iterable. Customers using the platform include 1upHealth, ABC Fitness, and Emplifi.
Built by Machine Learning and Go-to-Market Veterans
emerged from Y Combinator's P26 batch and is headquartered in San Francisco. CEO previously co-founded Buzzle, completed a master's degree in machine learning at Mila and computer science studies at MIT, and conducted research at NVIDIA.
Co-founder and CMO spent a decade running go-to-market functions at Bloomreach, advancing from sales development representative to product marketing leader.
Speaking on The rise of AI full-stack marketers | Clint Burgess (Co-Founder, CMO at CharacterQuilt), Burgess noted that qualitative market research frequently gets lost when campaigns move through approval committees. In a second interview, You know it, but no one executes it | Clint Burgess at CharacterQuilt, Burgess explained that the company aims to unify disparate tools—such as qualitative research tools, contact enrichment engines, and email platforms—into a single campaign operating system driven by voice-of-customer data.
Expanding Agent Architecture and Reliability in New York
CharacterQuilt is hiring for three onsite engineering positions in New York City to strengthen its core platform and distribution infrastructure.
To ensure AI models execute accurately inside enterprise systems, the team is hiring a Staff Software Engineer, Agent Systems and Product Quality ($250,000 - $350,000 / YEAR). Working five days a week in Union Square, this engineer will own agent architecture, evaluation systems, and feedback loops that convert customer inputs into improved agent behavior.
The startup is also recruiting a Senior Software Engineer, Agent Infrastructure and Reliability ($175,000 - $200,000 / YEAR). Based five days a week in Nomad NYC, this role manages system architecture across Postgres, local filesystems, background workers, sandboxes, authenticated browser sessions, and multi-tenant isolation.
To scale user acquisition through software, CharacterQuilt is adding a Go-to-Market Engineer ($150,000 - $200,000 / YEAR) in Union Square. The role focuses on writing applications to identify buying signals, automate prospect research, score leads, and route outreach workflows.
| Role | Location | Work Mode | Salary |
|---|---|---|---|
| Staff Software Engineer, Agent Systems and Product Quality | New York, NY, US | Onsite | $250,000 - $350,000 / YEAR |
| Senior Software Engineer, Agent Infrastructure and Reliability | New York, NY, US | Onsite | $175,000 - $200,000 / YEAR |
| Go-to-Market Engineer | New York, NY, US | Onsite | $150,000 - $200,000 / YEAR |
