AI Marketing Manager
About The Position
Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlodata.com. The Role Marketing teams are drowning in manual workflows while AI tools proliferate — and almost no one is building the actual infrastructure to connect them. Monte Carlo is hiring an AI Marketing Manager to change that: a builder who designs, ships, and owns AI-powered agents and automations that run our marketing function. This role sits inside Marketing but operates like an engineer — you ship production systems, not PowerPoints.
Requirements
- LLM Engineering — You've built real systems on top of LLM APIs (Claude, OpenAI, or similar) — not just wrappers or chatbots, but agents wired into production workflows. You understand context management, tool use, prompt reliability, and when AI creates real leverage vs. when it adds noise.
- 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.
- Production Code — You write Python (or equivalent) to build and own custom integrations and automations. You don't hand work off to engineering — you ship it and maintain it yourself.
- Systems Thinking — You treat the tools you build like products. That means fallback logic, monitoring, iteration loops, and knowing when to rebuild vs. patch.
- Stakeholder Judgment — You can work across marketing, RevOps, and sales, absorb messy requirements, and turn them into clean, scoped builds. You push back when scope creep threatens quality.
Nice To Haves
- You want to recommend AI tools, not build them
- You expect engineering to own deployment and maintenance after you design
- You need a lot of structure and hand-holding — this role is self-directed from day one
- You haven't shipped anything with an LLM API beyond a side project
- You're looking for a traditional marketing ops or marketing analytics role
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
- Work directly with marketing leadership, RevOps, and sales to identify the highest-leverage problems and translate them into working software
Benefits
- Competitive compensation, equity, and a remote-first environment.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
