Agentic Operator, Growth Marketing

Ramp Ramp · Fintech · New York, NY · Marketing

This role involves building and operating AI agents for marketing workflows, focusing on autonomous execution, self-improvement, and end-to-end ownership from concept to production. The candidate will design agent architectures, skills, tools, evals, and orchestration layers to move from 'AI-assisted' to 'agent-operated' marketing.

What you'd actually do

  1. Build AI agents from scratch that autonomously run marketing workflows: content generation, campaign development and launches, paid channel optimization, creative testing, and more.
  2. Break down workflows into the pieces agents actually need: skills, tools, evals, guardrails, memory, and feedback loops. You'll care a lot about getting this decomposition right.
  3. Build evaluation frameworks that measure agent quality, catch regressions, and drive improvement without someone babysitting the system.
  4. Design self-improving loops. Agents should monitor their own outputs, learn from outcomes, and get sharper over time. The bar: it works at 3am on a Sunday and is better by Monday.
  5. Own everything from identifying which workflows to automate, to prototyping, to production deployment, to monitoring and iteration. You are the PM and the engineer.

Skills

Required

  • AI agents
  • autonomous systems
  • workflow automation
  • agent architecture design
  • evaluation frameworks
  • production deployment
  • system design
  • Python

Nice to have

  • multi-agent systems
  • orchestration layers
  • inter-agent communication
  • marketing systems (HubSpot, Segment, Amplitude, Salesforce)
  • internal tools/platforms development

What the JD emphasized

  • built and shipped agents in production
  • agents that autonomously run
  • self-improving loops
  • evals
  • production deployment
  • agent architectures

Other signals

  • AI agents
  • autonomous workflows
  • self-improving loops
  • production deployment
  • agent architecture