AI Marketing Operations Manager

Monte Carlo
United States
Workplace: RemoteFull timeFunction: Marketing & GrowthSkills: ["Stakeholder management","Communication","Collaboration","Problem-solving"]

Build and own production AI marketing infrastructure by designing agents and automations that replace manual workflows, integrating the marketing stack, and delivering measurable improvements in lead routing, campaign execution, and personalization. Collaborate with Marketing, RevOps, and Sales to identify high-leverage problems and ship end-to-end systems with monitoring and observability.

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FursaFursa
Monte Carlo
Monte Carlo
2 months ago

AI Marketing Operations Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and own production AI marketing infrastructure by designing agents and automations that replace manual workflows, integrating the marketing stack, and delivering measurable improvements in lead routing, campaign execution, and personalization. Collaborate with Marketing, RevOps, and Sales to identify high-leverage problems and ship end-to-end systems with monitoring and observability.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Marketing & Growth

Key Responsibilities

  • •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.
  • •Wire together the marketing stack — Salesforce, HubSpot, Qualified, Clay, ZoomInfo, and our data warehouse — so the right data reaches the right system at the right time.
  • •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

Key Requirements

  • •Experience building AI agents and production systems using LLM APIs (Claude, OpenAI) with context management and tooling.
  • •Hands-on familiarity with Salesforce, HubSpot, Qualified, Clay, and ZoomInfo; strong data flow between systems.
  • •Ability to design, deploy, and own marketing automation end-to-end; coding experience is a plus.
  • •Strong systems thinking with monitoring, fallback logic, and observability.
  • •Excellent cross-functional collaboration with Marketing, RevOps, and Sales.
Experience:B2B marketingAI in marketingLLM
Skills:Stakeholder managementCommunicationCollaborationProblem-solving
Languages:English
Tech Stack:LLMOpenAIClaudeSalesforceHubSpotQualifiedClayZoomInfoData warehousePython

Company Brief

Monte Carlo
Provides an end-to-end data and AI observability platform that detects, triages, and resolves data incidents to improve data reliability for enterprise analytics and ML systems.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2019
Glassdoor
Glassdoor: 4.5
WebsiteLinkedInGlassdoor