About Mirakl:
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.
For more information: www.mirakl.com.
Mirakl in Numbers:
- 🗓️ Founded in 2012 | Member of French Tech Next40
- 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
- 🇫🇷 350+ Mirakl Tech teams members mainly based in France
- ⚙️ 5 Saas Solutions
Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
Our 5 values guide how we collaborate:
- 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
- 🏆 Get Things Done: We prioritize action and efficiency for impactful results
- 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
- 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
- 🤝 Satisfy & Empower Clients: We're committed to our clients' success
About the job
Design, build, and continuously improve AI agents dedicated to Finance, connected to our tools, data, and accounting processes, in order to automate end-to-end workflows and generate measurable operational value for the Accounting & Tax organization.
Why Now, Why Mirakl
The rise of agentic AI has fundamentally changed what's possible in Finance automation. For the first time, AI agents can handle complex, multi-step workflows — from invoice processing to financial close — with minimal human intervention.
Mirakl is uniquely positioned to lead this shift. As a Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust and n8n, and the early results are compelling. Now we need someone to take this from experimentation to industrialization — designing the system that will power the Finance function of tomorrow.
Our ambition: shift Finance from a team spending 80% of its time producing reports and processing invoices, to one spending 80% of its time advising the business. AI agents are the central lever of this transformation.
You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.
The Team You'll Join
You'll be embedded within the Accounting & Tax team, reporting to the Director of the team, with a transversal scope across the Finance organization, partnering closely with our Business Solution Architect, Finance process owners, and working closely with the central Data team.
Our stack and tools:
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Agentic & automation tools: Dust, n8n, Make, Zapier
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GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
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Finance systems: NetSuite, Payflows, Upflow, Expensya, Anaplan
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Data & reporting: Excel, PowerBI, Looker, SQL
Key Responsibilities
AI Agent Conception and Development
- Design and develop workflow-oriented AI agents: PtoP, Agents, Financial Close Agent, Bank Reconciliation Agent, E-invoicing Agent...
- Configure prompts, tools, skills, memory, guardrails, and multi-step orchestration
- Build rapid prototypes and evolve them into robust, production-ready solutions
- Own the full agent lifecycle: design, test, deploy, and monitor
Integration with Finance Systems
- Connect agents to internal systems: NetSuite, Payflows, Upflow, Expensya, Anaplan Drive, etc.
- Automate actions such as journal entry creation, invoice validation, anomaly detection, draft generation, and exception routing
- Master API integrations, webhooks, and MCP connectors between Finance tools and AI platforms
Iteration and Continuous Optimization
- Test agents with pilot users within the Accounting & Tax teams
- Analyze feedback, errors, and adoption metrics
- Iterate to improve accuracy, user experience, and reliability
- Maintain and evolve agent logic as processes change over time
Security, Quality and Compliance
- Own the security and compliance of agents within your scope
- Implement data access controls, validation rules, and auditability for sensitive use cases (financial, tax, and personal data)
- Document each agent clearly: objective, scope, limitations, KPIs, and roadmap
Adoption and Change Management
- Ensure a clean and well-structured agentic environment for Finance users
- Contribute to Mirakl's internal Agent Builders guild
- Enable Finance teams to adopt agents as their standard way of working
- Act as an AI champion within the Accounting & Tax organization
Product Mindset & Soft Skills
- Ability to understand Finance processes, identify friction points and translate it into agent logic
- Translate ambiguous needs into clear, structured workflows
- Curious, autonomous, proactive: you explore new tools without waiting to be told what to build
- Excellent communication skills: ablity to present complex technical solutions to non-technical Finance stakeholders
- Structured and rigorous: you document what you build and think about scalability from day one
- Measure and track impact
Collaborative: you work hand-in-hand with Finance process owners, the Solution architect and the Data team.
You'll Love This Job If you have
- You have a minimum of 3 to 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
- Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
- Experience in Finance workflows implementation or transformation (P2P, O2C, Record-to-Report, e-invoicing, financial close) is a strong differentiator
- Proficient in Python & data fundamentals (SQL, JSON, data structuring)
- Production deployment expertise - you've shipped AI solutions in production
- Experience with API integrations, MCP, webhooks, and connectors
- Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
- Proficiency with Finance tools: NetSuite or equivalent ERP/accounting platforms
- Ability to design and implement agent product with multi step agentic workflows
- Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
- Strong communication skills in both English and French
Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!
The position is open for a Permanent contract (CDI), based in Paris or Bordeaux 4 days on site.
Want to join us? Here is our process
- A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
- An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
- An hour interview with the Finance Manager
- 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.
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 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.
