Les missions du poste
Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.The Role in One SentenceYou design and deploy the next generation of Veepee's procurement processes, combining artificial intelligence to explore business problems with classical technical solutions (rules, deterministic automation) to industrialise them in an economically sustainable way.Your ResponsibilitiesThe role is structured around 3 areas of responsibility. You are free to choose how you approach them.Mission 1: Performance and Evolution of Procurement ProcessesYou are the business owner for the group's procurement processes. You are accountable for their operational performance, their coherence with other group processes, and their evolution in line with the AI-first ambition.Ensure the consistency and operational performance of procurement processes, you decide what deserves attention, you prioritise according to your own criteria, and you own the trade-off decisionsIdentify redesign opportunities and own the target vision, distinguishing what calls for incremental optimisation from what requires genuine transformationEnsure alignment with other group functions (commercial, warehouses, finance, scheduling) - you define the right moments and formats for coordinationAddress upstream data quality issues that degrade procurement processes, understand root causes and drive corrections, either directly or through the right stakeholdersBuild the performance view you consider appropriate (KPIs, dashboards, friction points) and communicate it to teams and leadershipMission 2: Designing AI and Technical Solutions Supporting These ProcessesYou are responsible for outcomes: solutions that genuinely work, are adopted by teams, and hold up over time - economically and technically. The path to get there is yours.Identify the right solutions by exploiting the full range of available tools - from generative AI to explore, to classical technical components to industrialise - based on what the problem requiresBuild yourself when it is most efficient: prototypes, demonstrators, proof-of-value. Engage Tech teams when industrialisation justifies itOwn architecture decisions, what stays as a generic LLM, what becomes a business rule, what moves to stable ML, what is bought rather than built, and argue them to TechEnsure economic control of solutions: usage cost, latency, human escalation rate, total operational cost. These indicators are at the same level as business qualityCo-pilot with VeepeeTech teams the solution lifecycle, spec, development, deployment, evolution. You are the reference business counterpartEnsure sustainability of what is deployed, documentation, transferability, capacity for future evolutionMission 3: Team Enablement and Contribution to Group StrategyA solution that works technically but is not adopted has no value. A transformation vision that does not translate into concrete trajectories for teams remains a slide deck. You own both.Support procurement teams in adopting new processes and tools, beyond the operating instructions, build understanding of the underlying logic and create genuine buy-inContribute to the evolution of roles within the procurement team, which positions will change, which skills need developing, how to support people over timeBuild and carry the operational and technical feasibility voice in strategic trade-offs within the Supply & Planning GroupActively participate in defining the group's strategic plan for the procurement function and translating it into concrete initiativesRepresent the function in cross-functional governance bodies where it matters, you decide your level of engagement based on the stakesWays of WorkingVeepee is building its operating model AI-first. This role is at the heart of that transformation for the procurement perimeter. Three principles structure day-to-day work:1. POC with generative AI, industrialise with the right toolFor every operational problem, start with a generative AI prototype, to explore the problem quickly, validate value, and understand real-world patterns. Once the solution is validated, replace the stable and predictable parts with business rules, trained classical ML, lighter LLMs, or deterministic automation. Generative AI remains where linguistic variability or reasoning complexity justifies it.2. Measure before industrialisingEvery deployed solution has its eval dataset, a set of real cases that allows continuous quality measurement. No deployment without a measured baseline. No industrialisation without a quality threshold met.3. Economic cost is part of the designA solution that works but costs 10× the business benefit is not a solution. You participate in the trade-off between quality, cost, and latency. You know when a premium LLM is justified, when a light LLM suffices, when a deterministic rule beats any LLM or other AI technology, and when make-or-buy is more relevant.The Profile We Are Looking ForThis role requires a rare combination of operational maturity, technical curiosity, and economic pragmatism. Several career paths can lead here - we are not looking for a specific background, but a combination of capabilities.Candidate pools we considerConsultants or managers in supply chain who have developed a genuine AI practice (not just exposure to the topic)Product Managers / Owners who have led products with an AI component and have a strong drive to solve concrete business problemsProfiles with business experience in supply chain who have led AI transformation projects (in a tech-oriented company with a physical goods supply chain)Product Managers / Owners who have led products with an AI component and have a strong drive to solve concrete business problemsSolutions Engineers or AI Engineers with a strong appetite for supply chain business and customer/business experienceSupply chain business expertise:At least 5 years of experience in a supply chain / operations environment, ideally with exposure to procurement challengesEnd-to-end understanding: demand planning, supply planning, logistics, transport, link with commercial functionsPractice of continuous improvement, process mapping, operational analysis methodsProject and transformation expertise:Proven project management skillsConfirmed aptitude in process optimisationComfortable with Information Systems and agile methodsAbility to engage with Product Owners and developers - understanding technical constraintsExperience with product management and quality functional specification (where relevant)AI in practice:Concrete experience prototyping with LLMs, beyond conversational promptsUnderstanding of agentic architectures (function calling, RAG, structured memory), knowing when to use whatPractice of vibe coding and rapid prototyping toolsKnowledge of LLM economic constraints: orders of magnitude for per-token costs, latencies, production constraintsPractice of eval datasets and quality measurement, knowing how to prove an AI solution actually worksMindset and behaviours:Pragmatism: prefers an imperfect POC today over a perfect specification in 6 monthsEconomic pragmatism: naturally integrates cost into all technical decisionsAbility to push without breaking: can carry a transformation vision while respecting teams in place and their trajectoriesClear written and oral communication, ability to make technical topics accessible to business audiences and vice versaContinuous curiosity: actively follows the evolution of AI tools and associated engineering practicesEducation and LanguagesMaster's level degree (engineering school, quantitative business school, or university equivalent)Fluent French and English, written and spoken (frequent exchanges with Tech teams and other divisions, group internationalisation)Another language (Spanish, German, Italian) is a plus but not requiredRecruitment ProcessAfter a first screen with the recruiterStep 1: Initial conversation (45 min) with the hiring manager to understand your motivations and present the contextStep 2: Practical case study (1 week to prepare, 1h presentation) a real operational problem, how you would approach it with a mix of AI and technologyStep 3: Cross-functional interviews (2h) with Supply & Planning leadership, a VeepeeTech PO, and a tech peerStep 4: Final conversation (1h) with the N+2 on long-term vision and offer termsThe Veepee Group processes your data collected as part of the management of your recruitment in order to manage your application file for the position for which you have applied. To find out more about our , we invite you to consult it on our career site. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compétences requises
- Anglais
- Gestion de la chaîne d'approvisionnement
- Intelligence artificielle
- Automation
- Français
- KPI