AI Marketing Manager

About Monte Carlo

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.

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.

• 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

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.

Technical Fluency — You can build deploy and maintain AI agents and automation systems without engineering support. You know how to wire together LLM APIs marketing tools and workflows to create production systems that actually run. 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.

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.

• 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

• Monte Carlo's marketing team has the mandate to build AI-powered infrastructure that most companies are still theorizing about — and the data platform to back it up

• You'll have end-to-end ownership: problem identification build deployment iteration — no handoffs no committees

• The company is the data observability category leader and actively expanding into AI agent reliability — this role sits at that intersection

• Small high-trust marketing team that moves fast and values output over process

• Competitive compensation equity and a remote-first environment.

#LI-REMOTE

#BI-REMOTE

Come As You Are

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds perspectives beliefs and experiences. 

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named 2025 Databricks Data Governance Partner of the Year

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

Monte Carlo Named to G2's Best Software Products of 2026

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!

We are super proud to be named the 2026 Best Place to Work by Built In!

Beware of Imposter Recruiters and Job Scams

• All official communication from our recruiting team will come from an @montecarlodata.com email address.

• We will never ask candidates to provide sensitive personal information (such as bank details social security numbers or payment) at any stage of the recruitment process.

• We will never request payment for equipment training or application processing.

• Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.

If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy please reach out to us directly at [email protected] before sharing any personal information.

What We Do

As businesses increasingly rely on data and AI to power digital products and drive better decision-making it's mission-critical that this data is accurate and reliable. Monte Carlo the data + AI observability leader is the creator of the industry's first end-to-end Data & AI Observability platform. Our mission is to enable the world's enterprises to adopt trusted AI.In 2025 Monte Carlo launched Agent Observability — the first capability to unify observability across both data and AI stacks in a single platform — enabling teams to monitor trace and troubleshoot enterprise AI agents in production. A Forrester Total Economic Impact study found that Monte Carlo delivers a 358% return on investment.Recognition and awards: Named a CBInsights AI100 company and the "New Relic for data" by Forbes. G2 #1 Data Observability Platform for eight consecutive quarters. G2 Best Software Product of 2026. 2025 Databricks Data Governance Partner of the Year. DBTA Readers Choice for Best Data Observability Solution 2024 and DBTA Trend-Setting Product for 2025.We've raised $236M from Accel ICONIQ Growth Redpoint Ventures IVP and Salesforce Ventures. Data-driven companies like NASDAQ Honeywell Roche Fox American Airlines and PepsiCo trust Monte Carlo to deliver reliable data and AI at scale.

Why Work With Us

A Built In 2026 Best Place to Work Inc. Best Workplace 2024 and Newsweek Most Loved Workplace. We're remote-first solving one of the biggest problems in the AI era: trust. We build fast ship bold and have a great time doing it. Come help the world adopt trusted AI.

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