mongodb

Market Intelligence Program Manager

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At a Glance

Location
Dublin
Department
D43225-Competitive Intelligence
Posted
2026-02-19T13:13:46-05:00

Key Requirements

Required Skills

Python

Domain Knowledge

  • Automation
  • Marketing

Requirements

Systems Thinking: You have a proven ability to look at ad-hoc activities and redesign them into efficient, scalable processes

Technical Fluency: Experience with automation and workflow tools (e.g., n8n, Zapier, Python scripts, or APIs) is highly desired

Operational Rigor: You are comfortable translating ambiguous requirements into structured workflows and holding teams accountable to SLAs

Builder Mindset: You don't just want to "own" a tool; you want to improve it. You are motivated by identifying opportunities to increase leverage and reduce noise

Cross-Functional Credibility: You can work effectively across Product, Sales, and Marketing, managing expectations and aligning diverse stakeholders on deadlines

Responsibilities

We are looking for a systems-oriented operator who thinks in terms of leverage, flow, and outcomes. This is not a traditional analyst role. Instead, you will operate at the intersection of intelligence, enablement, and operations. You will be energized by turning messy, manual, and high-judgment work into durable systems that scale. You will act as the primary interface between CI and cross-functional partners, translating vague requests from Product, Sales, and Finance into structured, repeatable workflows.

Workflow Automation & Engineering: Build and maintain automated data pipelines (using tools like n8n, APIs, or LLM workflows) to digest competitive signals and reduce manual synthesis time

Operational Process Design: Design and enforce the intake processes, prioritization frameworks, and SLAs that govern how the CI team accepts and delivers work

Tool & Platform Ownership: Administer and optimize the CI tech stack, including

Monday.com

Team

The Scale team is the operational backbone of the Competitive Intelligence function. While other pods focus on analysis, this team designs, operates, and continuously improves the systems that allow intelligence to scale in impact, efficiency, and credibility. This pod owns the intelligence infrastructure, automation pipelines, and operating rhythms that ensure insights are consistently captured, synthesized, and distributed with minimal friction.

About the Company

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our

Leadership Commitment,

guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone.