Revenue Operations Co-op

Mirakl; Boston (MA); On-site; USD 25,000 - 36,000; Part time

Job summary

Mirakl in Boston is seeking a 6-month co-op or internship starting January 2027 to support Revenue Operations AMER. Based in Boston, you will work within a cross-functional GTM team and gain exposure to the platform's data and forecasting tools.

You will source and upload account and contact data, help refine trackers and forecasting models, identify bottlenecks, and collaborate with Sales, Marketing, and Finance to improve GTM execution.

Qualifications

• Currently pursuing higher education in Data Analytics, Computer Science, Business, Economics, Finance, or a related field.
• Preferred - Experience with Salesforce, Data Analytics and/or GTM Tools.
• Strong analytical and problem-solving capabilities with advanced Excel and PowerPoint proficiency.
• Experience using AI to enrich datasets and solve complex problems through webscraping, querying and applied intelligence.
• Team player who thrives in international, collaborative environments.
• Passionate about SaaS, e-commerce and eager to contribute to marketplace innovation.

Responsibilities

• Help source and upload net new Account and Contact data with a focus on quality, hygiene, and enrichment to power smarter decision-making.
• Support the development and refinement of trackers and forecasting models to predict sales performance and pipeline health/attribution.
• Identify bottlenecks and inefficiencies in business operations, contributing to process improvements that drive productivity and scale.
• Partner with cross-functional teams on projects that enhance platform capabilities and optimize GTM execution.

Skills

Advanced Excel

PowerPoint

Data analytics

Team player

SaaS & ecommerce passion

Education

Currently pursuing higher education in Data Analytics

Computer Science

Business / Economics / Finance

Tools

Salesforce

GTM Tools

Job description

About Mirakl

Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.

Mirakl in Numbers

• Founded in 2012 | Member of French Tech Next40
• 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo

Our Values

Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.

Our 5 values guide how we collaborate:

• Work Hard Together: Teamwork and collaboration are the foundation of our success
• Get Things Done: We prioritize action and efficiency for impactful results
• Go Above & Beyond: We tackle challenges proactively and always aim for excellence
• Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
• Satisfy & Empower Clients: We're committed to our clients' success

The Team You'll Join

The Mirakl Revenue Operations - AMER team is a cross-functional team that sits within the broader Global Sales Acceleration organization.

The core mission of this team is management of the GTM (Go-To-Market) tech stack, driving process alignment, operational efficiency and scalability.

This function collaborates with the full GTM (Sales, Business Development, Marketing and Partnerships) organization, as well as other teams such as Enablement and Finance to ensure predictable, data-driven revenue growth.

6-month co-op or internship starting January 2027 | Based in Boston

This is a co-op position through Northeastern University's cooperative education program; candidates must be enrolled Northeastern co-op students eligible for co-op credit.

Your Impact

• Help source and upload net new Account and Contact data with a focus on quality, hygiene, and enrichment to power smarter decision-making.
• Support the development and refinement of trackers and forecasting models to predict sales performance and pipeline health/attribution.
• Identify bottlenecks and inefficiencies in business operations, contributing to process improvements that drive productivity and scale.
• Partner with cross-functional teams on projects that enhance platform capabilities and optimize GTM execution.

What You'll Bring to the Role

Experience:

• Currently pursuing higher education in Data Analytics, Computer Science, Business, Economics, Finance, or a related field.
• Preferred - Experience with Salesforce, Data Analytics and/or GTM Tools.

Skills:

• Strong analytical and problem-solving capabilities with advanced Excel and PowerPoint proficiency.
• Experience using AI to enrich datasets and solve complex problems through webscraping, querying and applied intelligence.
• Team player who thrives in international, collaborative environments.
• Passionate about SaaS, e-commerce and eager to contribute to marketplace innovation.

Below you will find the reasonably estimated hourly range for this role. Your starting compensation within this range will be based on your relevant skills, and experience and education, with any future adjustments informed by role scope, performance, and internal pay equity.

Hourly Pay Range

$22—$22 USD

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations.

As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.