montecarlodata · Marketing Operations
Remote, AmericasRemote
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Pulled from the employer's career page. Always verify details at the source before applying.
Role read
A quick read on what this posting appears to emphasize, based on the employer description and role fields.
Worth noticing
Lifecycle / email / CRM
“… Rebuild marketing operations infrastructure with predictive lead scoring, lifecycle management, and agent-forward workflows that increase business …”
Retention and reactivation programs are core here.
Marketing ops / analytics
“… project - You're looking for a traditional marketing ops or marketing analytics role WHY MONTE CARLO …”
Systems ownership and reporting usually anchor this work.
HubSpot
“… - Wire together the marketing stack — Salesforce, HubSpot …”
Salesforce
“… efficiency - Wire together the marketing stack — Salesforce …”
Own end-to-end campaign execution
“… that you're technical enough to own these systems end-to-end …”
Clarify before applying
Success metrics
What does success look like for this role — pipeline, activation, retention, conversion rate, or revenue?
Where this comes from
Every line below is grounded in the actual posting or in the title, role fields, and seniority tags. Snippets are quoted verbatim; the source tag tells you which part of the listing they came from.
Channels mentioned
… Rebuild marketing operations infrastructure with predictive lead scoring, lifecycle management, and agent-forward workflows that increase business …
Why it matters here: Retention and reactivation programs are core here.
… project - You're looking for a traditional marketing ops or marketing analytics role WHY MONTE CARLO …
Why it matters here: Systems ownership and reporting usually anchor this work.
Tools mentioned
… - Wire together the marketing stack — Salesforce, HubSpot …
… efficiency - Wire together the marketing stack — Salesforce …
Responsibility patterns called out
… that you're technical enough to own these systems end-to-end …
Growth stack
Use this posting to prepare
Each subsection below is grounded in something the posting or the role fields actually say. Use them as prompts — not as finished resume copy.
Step 1
Terms in the actual posting. Use these only where they match your real experience.
Step 2
Worth raising before applying or in the first recruiter conversation.
01How is success measured for this role?
Why ask this: Useful when the posting doesn't name success metrics. Triggered by the posting’s mention of baseline (always asked when metrics are missing).
02Which systems and attribution models are considered the source of truth?
Why ask this: Triggered when marketing ops, attribution, or analytics tooling is named. Triggered by the posting’s mention of marketing ops / analytics tooling.
03How is the relationship between paid acquisition and lifecycle structured?
Why ask this: Triggered when both paid and lifecycle signals appear. Triggered by the posting’s mention of both paid and lifecycle signals.
04How are retention, activation, and reactivating-lapsed accounts measured?
Why ask this: Triggered when lifecycle or retention signals appear. Triggered by the posting’s mention of lifecycle / retention signals.
Step 3
Each angle below starts from a real signal in the posting. The phrase “if this reflects your real experience” matters — don’t invent experience you don’t have.
Angle 01
Lifecycle / CRM angle
If this reflects your real background, emphasize: segmentation and lifecycle journeys, CRM tooling and journey orchestration, and retention, activation, and reactivation impact
Why we suggest this: posting mentions lifecycle / email / crm.
Angle 02
Marketing ops angle
If this reflects your real background, emphasize: systems ownership (CRM, CDP, automation), data quality, attribution, and reporting, and stakeholder workflows and dashboards
Why we suggest this: posting mentions marketing ops / analytics.
Keyword stuffing, fabricated bullets, or borrowed metrics tend to backfire in the first screen. Use these as a checklist, not a script.
Compare
Live openings that share a specialty, seniority, work mode, or channel mix with this role. Different companies are favored over same-company roles so the comparison is genuinely useful.
| Role | Company | Specialty | Work mode | Why similar |
|---|---|---|---|---|
| Marketing Operations and Analytics Program Manager Mapbox US | mapbox | Marketing Operations / Growth Operations | Remote |
|
| Marketing Operations Lead Remote - United States | gc-ai | Marketing Operations / Growth Operations | Remote |
|
| Marketing Operations Manager New York | canals | Marketing Operations / Growth Operations | Remote |
|
| Marketing Operations Manager HQ - San Francisco, CA | Numeral | Marketing Operations / Growth Operations | Remote |
|
| Marketing Operations Manager Remote, USA | virtuous | Marketing Operations / Growth Operations | Remote |
|
| Snr Marketing Operations Manager / GTM Engineer London | deepl | Marketing Operations / Growth Operations | Remote |
|
Up to two reason chips per row; the strongest match is shown first.
montecarlodata
Beyond this listing, montecarlodata doesn’t have other live growth roles on this site right now. The company page shows what it is hiring for across other disciplines.
Original employer description
Reproduced verbatim from the employer. Verify everything in this brief against the source text below.
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 Operations 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
Monte Carlo Named to G2's Best Software Products of 2026
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 recruiting@montecarlodata.com before sharing any personal information.
Apply before August 22, 2026.
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