refresh

Trending Companies

Trending

Jobs

JobsMongoDB

Competitive Intelligence Operations Analyst

MongoDB

Competitive Intelligence Operations Analyst

MongoDB

Dublin

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and bonus

Health benefits

Development budget

401(k) matching

Healthcare

Required Skills

Tableau

SAP

Python

About the 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 Role

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.

What You’ll Do

  • 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, and Salesforce for field intelligence capture and management

  • Enablement Operations: Manage the "last mile" of intelligence delivery by ensuring competitive content is published, tagged, refreshed, and retired systematically

  • Performance Reporting: Create dashboards to track CI adoption, content usage, and pipeline health, providing visibility into the team's impact and operational efficiency

  • Cross-Functional Interface: Serve as the direct point of contact for GTM and Enablement teams, ensuring CI is delivered in the right format and embedded into existing sales motions

What We’re Looking For

  • 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

Preferred Qualifications

  • Experience in PMM Operations, Revenue Operations (Rev Ops), or Sales Enablement Operations

  • Familiarity with project management platforms like Monday.com or Asana

  • Experience building or managing automation pipelines or LLM-assisted workflows

About MongoDB

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. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263319173

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About MongoDB

MongoDB

MongoDB

Public

MongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.

5,000+

Employees

New York

Headquarters

$24.0B

Valuation

Reviews

3.7

2 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

3.0

Career

2.5

Management

3.5

25%

Recommend to a Friend

Pros

Practical experience with Node.js and MongoDB

Learning NoSQL database management

Web scraping experience

Cons

Poor application performance (5+ second response times)

Difficult job market with low interview rates

Unpaid internship opportunities

Salary Ranges

0 data points

Junior/L3

L3

L4

L5

L6

Senior/L5

Staff/L6

Director

Junior/L3 · Associate Product Manager

0 reports

$137,500

total / year

Base

-

Stock

-

Bonus

-

$116,875

$158,125

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 80%

Negative 20%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview

4

Final Round/Onsite

5

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience