About Pelico

We are creating the factory of the future where disruptions are avoided, processes synchronized and value captured. Our factory operations management platform enables factory teams to be more agile and resilient in a world where supply chain disruptions occur every 16 minutes. Pelico empowers users to identify bottlenecks, avoid problems, and focus on innovation instead of fire-fighting. Since our foundation in 2019, we’ve partnered with industry leaders across aerospace, industrial equipment, and luxury watchmaking, revolutionizing factory operations in over 15 countries. Esteemed clients include Airbus, Safran, Cartier, Daikin, and Eaton.

Our Team

With a dynamic team of over 180 professionals across the US and France, Pelico is a melting pot of top-tier talent from Tech, Data Science, and Manufacturing domains.
Our collaborative environment fosters innovation and excellence, driving us to solve complex challenges and shape the future of manufacturing.

Our work has been recognized by Safran (Digital Transformation Award) and Microsoft (scale-up of the year).

Engineering turns Product ambition into scalable, reliable solutions that empower on-site operational teams.

We design a platform that handles high volumes, concurrent users, and complex workflows, while remaining modular, maintainable, and future-proof.

🛫 Mission

Pelico is on a road to becoming an AI-native company, with many tools being developed and used. The problem isn't the availability of technology, but its adoption.

We're looking for someone to bridge the gap between what is available and how people actually use it. This person will be the human face of AI enablement at Pelico: running workshops, supporting AI Champions, creating practical training content, and making sure new tools actually change how people work — not just how they're presented in an all-hands.

This isn't a training coordinator role. It's an internal change agent role. You'll work closely with the AI Ops engineering team and directly with team leads across the company to drive measurable behavior change.

To make Pelico's AI tools actually stick — by equipping every employee with the knowledge, confidence, and habit of using the Agent Hub and AI skills in their daily work. This role converts internal AI infrastructure from a capability that exists into a behavior that is lived.

Main Objectives

1. Drive active adoption of AI tools across Pelico teams

2. Build and sustain the AI Champions community

3. Create practical, accessible enablement content

4. Provide a feedback loop between employees and the AI Ops engineering team

5. Track and report on adoption to inform prioritization

Key Responsibilities

Objective 1: Drive active adoption of AI tools

• Design and deliver onboarding sessions for new hires and existing employees on Claude, the Agent Hub, and key AI skills

• Run team-specific workshops aligned to their actual workflows (not generic demos)

• Provide "office hours" or async support channels for employees with adoption questions

• Follow up on adoption 2–4 weeks after onboarding to reinforce usage

Objective 2: Build and sustain the AI Champions community

• Coordinate the AI Champions program: identify engaged users, support their development, and help them drive peer adoption in their teams

• Organize regular Champion syncs and share best practices across the network

• Recognize and surface standout AI usage internally (e.g., the weekly AI Highlights and Show & Tell)

Objective 3: Create practical, accessible enablement content

• Build and maintain a library of quick-start guides, prompt examples, and use case playbooks per team/function

• Produce short-form video walkthroughs for key agents and skills

• Keep content updated as agents evolve, so employees always have an accurate reference

Objective 4: Provide a feedback loop to AI Ops engineering

• Collect structured feedback from employees and Champions on what works, what doesn't, and what's missing

• Document recurring confusion points or friction in the user experience of agents and skills

• Translate employee feedback into actionable input for the engineering team's backlog

Objective 5: Track and report on adoption

• Define and monitor adoption metrics per team (e.g., active users of key agents, frequency of use, self-reported confidence)

• Produce a monthly adoption report for the AI Ops lead and leadership

• Flag teams or individuals with low engagement and propose targeted interventions

Secondary Activities

• Contribute to the bi-monthly AI Show & Tell by scouting and preparing speakers

• Support new hire onboarding by embedding AI literacy into the existing process

• Stay current on AI tools and best practices to keep enablement content fresh and credible

🎓 Skills

1. Hands-on proficiency with Claude and other AI tools (required from day one or ramp-up within first 30 days)

2. Content creation — written guides, slide decks, short video walkthroughs

3. Workshop design and facilitation

4. Basic data literacy — ability to read adoption dashboards and extract meaningful signals

5. Notion, Slack, and standard collaboration tools
   
   
   Contract Details

   • 6-month internship at the end of the Master's program with a learning agreement delivered by your school