Monte Carlo

AI Marketing Operations Manager

Remote, Americas

Sponsorship not specifiedDetected 27 days ago

SpringDatabricksLLMsAgentic AIMarketing AnalyticsHubSpotSalesforceLeadershipCommunication

About the role

This role sits inside Marketing but operates like an engineer - you ship production systems, not PowerPoints.

Design and ship AI agents that replace high-volume manual marketing workflows - lead routing, contract handling, follow-up sequences, and campaign execution
Rebuild marketing operations infrastructure with predictive lead scoring, lifecycle management, and agent-forward workflows that increase business efficiency
Build personalization and testing tools that improve campaign performance at scale
Own the systems you ship: monitor them, build fallback logic, instrument for observability, iterate on results
You understand context management, tool use, prompt reliability, and when AI creates real leverage vs. when it adds noise.
Systems Thinking - You treat the tools you build like products. That means fallback logic, monitoring, iteration loops, and knowing when to rebuild vs. patch.
You want to recommend AI tools, not build them

B2B Marketing Stack - You have deep, hands-on familiarity with Salesforce, HubSpot, Qualified, Clay, and ZoomInfo.
You know how data flows between these systems and what breaks when it doesn't.

Coding experience is a plus, but it's not required - what matters is that you're technical enough to own these systems end-to-end.

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems.

This listing is sourced directly from Monte Carlo's careers page and normalized into a canonical job model.