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Marketing Operations Manager

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Mongoose
Full Time position
Listed on 2026-05-05
Job specializations:
  • IT/Tech
    Digital Marketing, Data Analyst
Salary/Wage Range or Industry Benchmark: 97000 - 115000 USD Yearly USD 97000.00 115000.00 YEAR
Job Description & How to Apply Below

At Mongoose, we believe every conversation matters.

You are a team of one. The AI agents you build are your team of many. We're hiring you to design, build, and manage that team.

We’re on a mission to change lives by making conversation intelligence accessible to all in higher education. Our AI‑enabled platform drives compliant, empathetic, and impactful conversations that build trust and foster success across the student lifecycle — from admissions to alumni relations.

We’re evolving how marketing operates, moving from manual execution to intelligent, autonomous systems. This role is central to that transformation.

As Marketing Operations Manager, you’ll be the architect behind how our marketing engine runs and evolves. You’ll own the full Mar Tech stack, build the workflows, and act as the strategic force connecting data, technology, and human insight into measurable impact. You’ll operate as a team of one — with AI and automation as your force multiplier, giving you the leverage to think and act beyond a single headcount.

You’ll report directly to the Head of Marketing with a front‑row seat to how strategy and execution connect.

If you enjoy automation, turning data into clear decisions, and seeing your work directly influence pipeline, you’ll thrive here.

What You’ll Do
  • Own the Marketing Engine — and Make It Smarter: Be the keeper of our Mar Tech stack, including Hub Spot, and the force that evolves it. Keep the infrastructure running smoothly, the data clean, and the integrations humming. Then go further: identify where AI and automation can eliminate manual work, evaluate and deploy new tools (including Hub Spot’s emerging agent capabilities), set guardrails, and continuously raise the bar for how marketing operates.
  • Run the Operational Rhythm: Own the cadence that keeps marketing moving — lead routing, scoring, lifecycle nurtures, and campaign execution. Make sure the right data reaches the right people at the right time, every time.
  • Drive Lifecycle & Funnel Performance: Think beyond the campaign. Own the full prospect‑to‑customer journey, building nurture programs that move people through the funnel and partnering with Sales and Growth to strengthen pipeline and conversion.
  • Turn Data Into Direction: Build dashboards and reporting that tell a clear story about marketing’s impact on revenue. Spot trends, flag opportunities, and give leadership the insights they need to make confident decisions.
  • Be a Force Multiplier: Model what AI‑augmented marketing looks like in practice. Share what’s working, document the playbooks, and help the rest of the team build fluency through the work itself — not formal training.
  • Own Events & Key Programs: Run the operational backbone of webinars, conferences, and customer programs — from registration to follow‑up — ensuring every touchpoint is tracked, intentional, and tied to outcomes.
  • Manage Vendors & the Stack: Own Mar Tech budget, vendor relationships, and renewals. Bring rigor to every build‑vs‑buy‑vs‑automate decision and make sure every tool earns its place.
  • Keep It Clean & Compliant: Be the guardian of marketing data integrity. Stay ahead of GDPR, CCPA, FERPA, and higher‑ed data considerations — because clean, structured, trustworthy data isn’t just good practice, it’s the foundation everything else is built on.
What You’ll Bring to the Table
  • You’ve been here before: 4–7 years in Marketing Operations or a related B2B SaaS role, ideally in EdTech. You know the landscape and can hit the ground running.
  • You know your tools: Hands‑on experience managing a Mar Tech stack — Hub Spot (required), plus ABM and analytics tools. You don’t just know what the buttons do, you know why they matter.
  • You’ve built things that scale: A track record of implementing automation and process optimization that actually sticks. You’ve made teams faster, smarter, and less reliant on manual work.
  • You’re fluent in AI: Familiar with LLMs, automation platforms, and AI‑powered analytics — and excited about where it’s all heading. You don’t wait for someone else to figure it out.
  • You think in systems: Experience designing workflows that connect data, tools, and teams. You see the whole picture and…
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