Senior AI Product Manager

About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.

Since 2012, Mirakl has been pioneering the platform economy, empowering retail and B2B enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

Mirakl is trusted by 400+ industry-leading businesses worldwide including Macy's, Decathlon, Best Buy, Airbus, Toyota Material Handling and Sonepar.

Headquartered in Paris with another office in Bordeaux and with offices in 7 countries, Mirakl is recognized as a Great Place to Work company.

With more than 350 people, Mirakl Labs teams are mainly based in France. They work together on a daily basis to develop our roadmap for our 5 SaaS solutions.

They also address the issues faced by our customers and users, responding to various challenges related to new features, scalability, security, and usability.

Senior AI Product Manager – Nexus Shopping Agent

At Mirakl, we are building the future of commerce through an Agentic Commerce OS, where intelligent agents can search, reason, negotiate, and execute buying tasks across global e-commerce environments. The Nexus Shopping Agent is our Shopper-facing agent, helping shoppers find the right products, compare options, and complete complex purchases through natural language, voice or images.

We're hiring a
Senior AI Product Manager
to lead the strategy and execution of the Nexus Shopping Agent across shopping, ads, and after-sales flows. You will work at the intersection of LLMs, retrieval systems, product data, multimodal AI, and e-commerce UX, ensuring the agent delivers accurate, trustworthy, high-impact shopper experiences across the full lifecycle. This is a hands-on role within the Nexus Product Team, focused on shaping the agent's intelligence, behaviors, integrations, and front-/back-end capabilities.

What you will do

1. *Design end-to-end agent experiences across shopping, ads & after-sales*

2. Understand B2C/B2B user needs across search, discovery, comparison, sponsored content, and post-purchase support

3. Define agent reasoning, conversational flows, and multimodal interactions for the full buyer journey

4. *Own the roadmap & deliver AI-powered product features*

5. Lead the roadmap for the Nexus Shopping Agent across shopping, ads, and after-sales

6. Write clear specs (prompts, retrieval logic, APIs, UI flows) and drive execution with engineering, AI research & data science

7. *Shape and improve the agentic architecture*

8. Define how the agent uses LLMs, structured product data, sponsored listings, and e-commerce rules

9. Contribute to retrieval/ranking pipelines and integrate core workflows (carting, eligibility, returns, order queries)

10. *Build dashboards, monitoring & feedback systems*

11. Deliver customer-facing dashboards and configuration UI to visualize, tune, and monitor agent behavior

12. Implement evaluation frameworks, quality monitoring, and feedback loops

13. *Drive adoption & cross-functional collaboration*

14. Partner with PMM, CS & SE to create demos, training, and onboarding for customers adopting agentic experiences

15. Collaborate across Nexus, Search, Catalog Transformer, Connect, Ads & After-Sales teams
16. Support early customers and promote the Nexus Shopping Agent internally and externally

Who you are

• 5+ years of Product Management experience in AI products
• Strong understanding of LLMs, RAG, prompting, structured reasoning, and retrieval systems
• Experience with AI/ML teams on model evaluation, tuning, and reliability monitoring
• Strong familiarity with e-commerce, shopping flows, ads systems, or after-sales workflows
• Comfortable writing specs for AI logic, conversational flows, ranking rules, APIs, data pipelines, and front-end configuration tools
• Analytical, experimentation-driven mindset
• Fluent in English and French

Location:

Paris, Bordeaux, or Remote (France)

Interview Process

• A 40-minute call with one of our Tech Recruiters to discuss your background, expectations, and what Mirakl can offer
• A 30-minute interview with Anne-Claire, our Chief Data & AI Officer, to dive into your vision and alignment with our AI strategy
• A one-hour technical interview with our Data Science Manager to assess your expertise and how your skills can accelerate our AI initiatives
• Two 45-minute interviews with our Engineering Manager and Product Lead to evaluate collaboration style, mindset, and culture fit

Featured Videos & Conferences
 
(Gen)AI at the Heart of Mirakl's Product
Anne-Claire Baschet, Chief Data & AI Officer at Mirakl, discusses the journey from design to deployment of the Catalog Transformer, highlighting the integration of GenAI into Mirakl's core products. Watch here: YouTube 
Building and Scaling an AI Product in a SaaS Solution
Fanny Guélin and Arthur Delaitre from Mirakl present at Apidays Paris 2024, discussing the development and scaling of AI products within a SaaS framework, with a focus on the Catalog Transformer. Presentation deck here

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations, we strongly encourage you to apply to any of our roles, even if you think you're not an exact match.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our
AI Guidelines for Candidates and Interviews
.