
Fast-track your ML job hunt :
Strategic Discovery & Vision Setting
Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments.
Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter.
Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives.
AI Solution Design & Deployment
Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped).
Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact.
Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
Value Realization & Customer Success
Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors.
Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships.
Cross-Functional Collaboration
Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps.
Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings.
Travel (~30-60%) to foster deep client relationships and support on-site deployment.
We care about people and outputs. What matters is what you ship, not the time you spend on it.
Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
Always ask why. The best solutions come from deep understanding, not from copying what worked before.
We say what we mean. Feedback is direct, timely, and given because we care.
No politics. Low ego, high standards.
2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales).
A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering).
Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.
Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value.
Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.
Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners).
Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
Comfort operating under security, compliance, and confidentiality constraints.
Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling is a plus.
Experience deploying AI in regulated or sovereign environments (defense, public sector, critical infrastructure) is a plus.
Eligibility: must hold citizenship in the target territory (France for now).
Clearable: must meet all local requirements for high-level security clearance (e.g. no criminal record, fulfillment of national service obligations).
Fast-track your ML job hunt :