Prolong is entering an exciting phase: we’re transitioning from startup to scale-up. We’re experiencing strong traction and are closing in on our Product-Market Fit.
Prolong is a white-label SaaS platform that empowers fashion brands to turn after-sales services—such as repairs, alterations, recycling, refurbishing, and spare parts management—into powerful drivers of sustainable growth and new revenue. By reshaping how brands manage product repairability, lifecycle, and circularity, Prolong unlocks new models for sustainability, operational efficiency, customer loyalty, new revenue streams and global scale.
We are already trusted by leading brands such as Fusalp, Veja, The North Face, Bocage, validating both the strength of our mission and the scale of the opportunity.
We are guided by strong values:
🫶 CARE — We care for each other, our work, and every single user.
🚀 AMBITIOUS — We challenge the status quo and build globally by default.
🤝 TRUST — We own our results and lead through reliability and excellence.
🧑🎓 FAST LEARNERS — We move fast, learn faster, and never stop improving.
If this speaks to you — keep reading.
Missions :
[AI Products] Continuously improve Prolong AI capacities
Modelling: Iterate on existing or build new AI Products combining both traditional ML and LLM approaches depending on the use cases. (e.g. AI Product for improved diagnostics based on images, information retrieval in documents, pattern detection in Defects)
AI stack: Iterate on the foundations of a Minimum Viable AI & Agentic AI stack
[Automation with Gen AI / Agentic AI] Continuously improve Prolong internal Automations / agents to help scaling our activities (OPS, Sales, Marketing, Care & Support, Training)
Use case identification: together with internal people w.r.t to their streams, help identify ROI-driven use cases
External benchmarking: Don’t reinvent the wheel, talk to the ecosystem, try new tools
Building internal products: Iterate on existing or build new Automations / Agent to help Prolong scale internal processes on different streams
[Analytics Pipeline & BI] Continuously improve Prolong Analytics capabilities
Data Pipeline:Iteration on existing or build new data transformation pipelines, and improve
Analytics stack: implement new ideas to improve robustness, data quality monitoring, and documentation
BI & Embedding: continuously improve the embedded dashboard directly exposed inside Prolong application
Technical stack :
Analytics (Modern Data Stack): Big Query, Fivetran, DBT, Metabase
AI: Vertex Notebook, API serving
No Code / Agent: Make, Dust, N8N, etc.
Infra: GCP, Github actions
Specific to the Job
You have acquired proactivity & autonomy in previous intern positions
You have a good organizational & communication skills
You have a previous work/project experience in Data Analytics & AI. A previous experience in automation / agent AI is a plus
You enjoy being hands-on and are a problem solver
You are curious in learning new tools for AI / Data or Automation
You speak French and English
You have an previous intern experience (in a startup is a plus)
Shared with all Prolong team
You like working in a team, are eager to learn and be challenged
You have a positive, enthusiastic, open-minded, approachable and humble attitude and enjoy working collaboratively
You’re keen to work on a project that matches your personal values and ideals!
What do we offer
A proximity with experimented, ambitious and a caring founding team offering a very fulfilling internship
A unique opportunity to contribute to the Prolong Story & work in a early stage atmosphere,
A flexible work policy (3 days per week in Paris office)
Recruitment process
First call with Margot, Operating Partner Talents @Imagination Machine
An interview with Ghali, current Right Hand Data & Automation
An interview with Henri, Co-founder & COO
Meet Ghali and Henri physically in Paris
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