PRODUCT BUILDER - DATA & IA (H/F)
Montale Parfums · Paris, Île-de-France, France
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- On site
- Full-time
- €60,000 / year
- Paris, Île-de-France, France
Job highlights
- Build foundational data systems and AI tools.
- Develop intelligent search and decision support.
- Work with AI coding assistance.
- Collaborate with experienced product managers.
- Impact business decisions directly.
About the role
Product Builder - Data & AI
Company: Montale Parfums Contract: CDD (6 months) Type: Full-time Location: Paris 8th Salary: Based on profile Experience: 2-5 years Start Date: As soon as possible
About Montale Parfums
Founded in 2003 by Pierre Montale, Montale Parfums is a niche perfumery house renowned for its unique olfactory creations, inspired by the mysteries and richness of the East. Combining artisanal know-how, rare ingredients, and a strong identity, the brand has established itself as an essential reference in high-end perfumery, both in France and internationally. Montale Parfums has an iconic boutique in Paris (8th arrondissement) and an international e-commerce site: montaleparfums.com.
Context of the Role
The house is undertaking a significant project: to lay the foundation for its data management and, in parallel, develop custom tools leveraging data and AI to improve decision-making across several business verticals. The function you will occupy does not yet exist – you will create it. You will build a complete end-to-end system in a human-sized company where the impact of your work is immediate and visible. You will work under the supervision of an experienced Lead Product Manager. The foundations laid during this mission are intended to transform into a permanent role within the company.
What You Will Build
- A structured data foundation – the company's central repository, with a relational architecture connecting key entities and making them usable by business teams.
- An intelligent search engine enabling teams to query the company's documentary heritage using natural language. You will build the complete pipeline: ingestion, processing, user interface.
- Decision support tools that cross-reference internal data and external signals to objectify operational management. Scoring, alerts, dashboards.
- Connectors and automations between internal data sources, external feeds, and the central repository.
- A Business Intelligence and Data Visualization layer to make the data in the foundation readable and actionable by decision-makers.
How You Will Work
Development will rely on AI-assisted coding tools (Antigravity, Claude Code) as a production method. Light stack: vector database, LLM API, React, Airtable. Agile methodology, short sprints. Concrete deliverables every two weeks. Evolving specifications – we build, we show, we test, we adjust.
Key Skills
- Technical & AI Aptitude: Understanding of data pipelines and APIs. Concrete experience with AI-assisted coding tools (Claude Code, Cursor, Antigravity, or equivalent) for development and automation. A personal project to showcase is a strong signal.
- Data Modeling & Architecture: Proficiency in data modeling: identifying entities, their relationships, and missing data to make a system usable.
- Data Governance & Quality: Rigor in structuring, cleaning, and documenting data as the foundation of any reliable system.
- Consulting & Field Diagnosis Posture: Approach to analyzing and understanding real needs before implementing any solution: stakeholder interviews, process mapping, translation into technical specifications.
- Communication & Business Impact: Clear reporting to non-technical stakeholders, translating business needs into actionable specifications, delivering tools adopted by teams.
- Autonomy & Transparency: Ability to operate in a less structured environment, quickly take on new subjects, and clearly report on roadblocks.
The Ideal Profile
This role is at the intersection of tech and business. We are looking for someone who understands that a tool only has value if it solves a real problem, and who has the ability to navigate between business vision and technical execution. You don't build for the sake of building – you build so that someone can make better decisions.
Conditions & Benefits
- CDD - Full-time
- Position based at Montale Parfums headquarters - Paris 8th
- On-site work – 1 day of remote work after the trial period
- 50% coverage of transportation pass
- Company mutual insurance covered at 70% by the company for the employee and their dependents
- Restaurant Vouchers worth €14.50 (50% covered by the company)
- Access to the Leeto platform offering numerous benefits and Well Pass (formerly Gymlib)
Why Join Us?
Joining Création Luxe Design - Montale Parfums means integrating a niche perfumery house in full development, where customer experience is at the heart of the strategy. You will evolve in a demanding, stimulating, and passionate environment, serving an international clientele.
Please send your application by email to s.kadoun@montaleparfums.com.
Key skills/competency
- Product Builder
- Data Management
- Artificial Intelligence (AI)
- Data Modeling
- Data Architecture
- Data Governance
- Business Intelligence
- Data Visualization
- Agile Methodology
- Technical Aptitude
Skills & topics
- Product Builder
- Data
- AI
- Data Modeling
- Data Architecture
- Business Intelligence
- Data Visualization
- Developer
- Paris
- CDD
How to get hired
- Tailor your resume: Highlight data modeling, AI tools, and business impact experience.
- Showcase projects: Include personal or professional projects demonstrating AI coding and data solutions.
- Prepare for interviews: Be ready to discuss your approach to understanding business needs and technical execution.
- Demonstrate collaboration: Emphasize your ability to communicate technical concepts to non-technical stakeholders.
- Research Montale Parfums: Understand their niche perfumery brand and their strategic data initiatives.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the main goal of the Product Builder role at Montale Parfums?
- The main goal of the Product Builder - Data & AI at Montale Parfums is to establish the company's data management foundation and develop custom AI-powered tools to enhance business decision-making. You will create this function from scratch.
- What kind of data and AI tools will I be building for Montale Parfums?
- You will build a structured data repository, an intelligent search engine for company documents, decision support tools (scoring, alerts, dashboards), data connectors/automations, and a business intelligence/data visualization layer.
- What is the work arrangement for the Product Builder position at Montale Parfums?
- The position is primarily on-site at the Montale Parfums headquarters in Paris 8th. There is potential for 1 day of remote work per week after the trial period.
- What is the expected experience level for the Product Builder role?
- The role requires 2 to 5 years of relevant experience, with a strong emphasis on technical aptitude, AI, data modeling, and a consulting mindset.
- How important is a personal project for this Product Builder role?
- Having a personal project to showcase is considered a strong signal for this role, as it demonstrates concrete experience and initiative in AI-assisted coding and data solutions.
- What is the contract duration for this Product Builder position?
- This is a CDD (fixed-term contract) position lasting for 6 months.
- How will I be working on a day-to-day basis as a Product Builder at Montale Parfums?
- You will work using agile methodology with short sprints, delivering concrete outputs every two weeks. Development will leverage AI-assisted coding tools like Claude Code and Antigravity.
- What are the key technical skills needed for this Product Builder role?
- Key technical skills include understanding data pipelines and APIs, practical experience with AI coding tools, proficiency in data modeling and architecture, and a strong sense of data governance and quality.