AI Product Builder (Digital Product Owner)

About the Role

Coders Connect is partnering with Sanofi to recruit an AI Product Builder (Digital Product Owner) for their Manufacturing & Supply (M&S) Accelerator.

This is not a traditional Product Owner role.

Sanofi is building a new generation of product teams and is looking for AI-native Product Builders — individuals who can design, build, and deploy products themselves using AI, rather than managing delivery through others.

This is a high-impact role focused on building AI-powered products that directly improve operations across global manufacturing, quality, and supply chain environments. Rather than following a traditional “define → build → scale” model, this role is centered on: • Delivering value first • Building fast MVPs • Using AI to accelerate development • Scaling only after validation

You will operate at the intersection of product, engineering, and AI, working hands-on to create solutions that integrate into real-world operational workflows.

As an AI Product Builder, you will own the full lifecycle of your product — from idea to deployment — using AI tools, LLMs, and modern development approaches.

Job Description

• Own and build AI-powered products end-to-end (from concept to deployment) • Design, prototype, and deploy solutions yourself using AI-assisted tools • Deliver fast MVPs, validate value early, and iterate continuously • Use LLMs, AI agents, and copilots to accelerate product development • Focus on solving real operational problems, not just defining requirements • Collaborate closely with engineering, data, AI, and business stakeholders • Drive adoption through hands-on demos, workshops, and clear communication • Integrate products into real workflows across manufacturing, quality, and supply chain • Use AI in your own Product Ownership workflow (discovery, prioritization, documentation) • Make pragmatic trade-offs to deliver value quickly rather than aiming for perfection

What You’ll Be Working On

• AI-powered products for manufacturing, quality, and supply chain operations • Use cases such as process deviation (quality) and operational optimization • LLM-based applications, AI agents, and decision-support tools • Rapid MVP development using AI-assisted coding (“vibe coding”) • Tools such as copilots, automation frameworks, and modern AI ecosystems • Products that integrate with enterprise systems (ERP, MES, etc.) — but not dependent on them

Qualifications

• 2–5+ years of experience in Product, Engineering, Data, or related fields (flexible) • Background in Data Science, Data Engineering, or Software Engineering is strongly preferred • Proven ability to build and ship products (not just manage them)

Hands-on experience with: • LLMs (e.g. ChatGPT, Claude) • AI tools, agents, or copilots • Ability to deploy MVPs independently using AI-assisted development • Strong understanding of product thinking combined with technical execution • Comfortable working with ambiguity, complexity, and fast iteration cycles • Strong communication skills and fluent English (global collaboration required) • Ability to explain products, run workshops, and drive adoption

Nice to Have

• Exposure to manufacturing, quality, or supply chain environments • Experience with ERP, MES, or enterprise systems • Startup or product builder background • Experience building side projects or products using AI

Location

• Paris or Lyon (hybrid)