Product Operations & Strategy Intern
About Alma
At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.
Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.
As the buy now pay later leader in France and active in 10 European countries, we’ve empowered over 21,000 merchants and 8 million consumers.
With 360+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe—and we’re just getting started.
Alma is the company for you if are looking for:
Collective intelligence is the driving force behind Alma: we are looking for open-minded, curious, and ambitious people who want to actively participate in this exponential growth.
To continue to deliver an optimal purchasing experience and absolute ease of use, all teams at Alma (Tech, Product, Sales, Operations, Data, Risk, Finance, Compliance, Legal, Marketing and People) will strengthen their members to maintain the highest standards of quality and trust while pushing these innovations at Alma’s pace.
About Product Operations & Strategy at Alma
Product Operations & Strategy helps the Product & Engineering organization scale by improving how we operate, measure impact, and enable teams with the right systems. A growing part of our mission is to make Alma’s Product organization AI driven by identifying high-value internal use cases and bringing them to life with strong execution and measurable outcomes.
About the Job
We are looking for a Product Operations & Strategy Intern to support key initiatives across Product, with a strong focus on AI workflows. You will work closely with the product team, and cross-functional stakeholders to help deliver internal AI solutions from discovery to rollout, while also supporting team on transversal initiatives.
This role is ideal if you like turning ambiguous problems into concrete workflows, testing fast, and making solutions usable and adopted in real teams.
Your missions
- Contribute to the delivery of internal AI initiatives end-to-end : framing the problem, defining success criteria, supporting build and rollout, and iterating based on usage and feedback.
- Help structure and maintain datasets, sources, and evaluation methods to improve AI output quality (accuracy, relevance, usefulness).
- Support prompt and workflow design, documentation, and change management to ensure internal AI tools are usable and reliable.
- Set up lightweight tracking to monitor adoption and impact (usage, satisfaction, recurring failure modes), and synthesize insights for stakeholders.
- Run user interviews and pilot sessions with internal teams to identify opportunities, test solutions, and prioritize improvements.
- Contribute to Product operations & strategy projects (non exhaustive) depending on team priorities and your interests.
- Coordinate with Product, Engineering, Design, and go-to-market stakeholders to ensure alignment and smooth execution.
About You
- Currently pursuing a Master’s degree (Business, Engineering, Data/Analytics, Computer Science, or related).
- Available for a 6-month internship.
- Strong interest in AI and automation topics and tools.
- Comfortable with data and experimentation (define simple metrics, analyze results).
- Structured and detail-oriented (able to think in workflows and systems).
- Strong project management and organizational skills.
- Proactive, hands-on, and comfortable in a fast-paced environment.
- Great communicator and team player, able to collaborate across teams.
- Interest in tech / start-up / scale-up environments.
- Fluent in French and English.
About the Recruitment Process
- Screening with Sara, Talent Acquisition Manager (30 min)
- Hiring Manager Interview with Lyna, Product Operations & Strategy (45 min)
- Take-Home Case Presentation with Lyna and a Product team member (60 min)
- Team fit with Laura, our CPO (30 min)
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