Go-To-Market Engineer Intern (SaaS)

TL;DR

Go-To-Market Engineer Intern (SaaS): Building tools and automations for Sales, Partnerships, and Customer Success teams with an accent on data integration and automated workflows. Focus on developing AI agents, optimizing lead scoring models, and creating data visualizations to drive revenue efficiency.

Location: Paris (Remote-flexible)

Company

A B2B SaaS platform pioneering ecosystem-led growth by leveraging AI-native ecosystem intelligence to turn partner ecosystems into revenue engines.

What you will do

• Build automations connecting core tools including Claude, Salesforce, Clay, n8n, and Gong.
• Develop AI agents and workflows to reduce manual effort for customer-facing teams.
• Improve lead scoring models by utilizing product, marketing, and ecosystem data.
• Write SQL queries to analyze business questions, identify stalling deals, and optimize timelines.
• Create dashboards and data visualizations to help Sales and Customer Success track results.
• Assist the operations team in implementing strategic projects and managing daily RevOps.

Requirements

• Proficiency in writing code or SQL queries.
• Strong curiosity regarding B2B software growth and sales operations.
• Proactive approach to identifying and fixing repetitive or broken processes.
• Final-year student or in the second half of a gap year.
• Availability to start in early September 2026.
• Must be based in or associated with Paris, France (Remote-flexible).

Nice to have

• Previous internship in Operations, Sales, or Product at a fast-paced SaaS company.
• Experience in structured environments such as consulting, VC, or M&A.

Culture & Benefits

• Collaborative environment based on trust, transparency, and personal ownership.
• Competitive compensation and equity options.
• Comprehensive healthcare coverage for you and your family.
• Learning, wellness, and WFH stipends.
• Flexible time off and paid parental leave.

Hiring process

• 30-minute introductory interview with the HR Generalist.
• Practical take-home case study to assess technical and analytical skills.
• One-hour debrief meeting with the Revenue Operations Lead.
• Final culture fit interview with the COO and the team.