Growth Marketing AI Agent Architect & Operator

Rozgoo; United States; A distancia; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible PTO

Unlimited AI token usage

Centralized home-office equipment

Health and wellness stipend

Weekly coffee stipend

100% medical, dental & vision coverage

Descripción de la vacante

Ramp is seeking an AI Agent Operator and Architect to design, build, and operate AI agents for our Marketing team. You will decompose workflows into agent architectures and own end-to-end delivery from prototyping to production deployment.

You’ll craft agents that run 24/7, learn from outcomes, and improve without constant direction, pushing from AI-assisted to agent-operated at scale.

Formación

• Experience building AI agents for production systems.
• Ability to decompose workflows into agent architectures with skills, tools, evals, memory.
• Strong communication and ownership of end-to-end projects.
• Experience designing evaluation frameworks to measure agent quality and reduce regressions.

Responsabilidades

• Build AI agents from scratch that autonomously run marketing workflows: content generation, campaign development and launches, paid channel optimization, creative testing, and more.
• Break down workflows into the pieces agents actually need: skills, tools, evals, guardrails, memory, and feedback loops.
• Build evaluation frameworks that measure agent quality, catch regressions, and drive improvement without someone babysitting the system.
• Design self-improving loops. Agents should monitor their own outputs, learn from outcomes, and get sharper over time. Own everything from identifying which workflows to automate, to prototyping, to production deployment, to monitoring and iteration.

Conocimientos

AI agents

Agent orchestration

Self-improving loops

Production deployment

Observability

Descripción del empleo

Ramp is seeking an AI Agent Operator and Architect to design, build, and operate AI agents for our Marketing team. You will decompose workflows into agent architectures and own end-to-end delivery from prototyping to production deployment.

You’ll craft agents that run 24/7, learn from outcomes, and improve without constant direction, pushing from AI-assisted to agent-operated at scale.