Mistral AI

Research Engineer

• Design and implement RL environments simulating cybersecurity scenarios
• Build pipelines and infrastructure generating synthetic cybersecurity training instances at scale
• Conduct experiments and evaluations of model capabilities, from quick prototypes to controlled benchmark runs
• Own infrastructure including containers, sandboxes, VMs, cloud deployments, and Kubernetes orchestration, managed as code
• Partner with researchers and security specialists to turn domain expertise into reproducible environments and datasets
• Write clear, efficient Python code and enforce testing, code review, and CI/CD practices
• Develop model capabilities in vulnerability discovery and remediation, security analysis, and incident response across offensive and defensive cybersecurity
• Feed results into production training runs for frontier models

Research Engineer – Cybersecurity, RL Environments

General Counsel

• Provide practical, hands-on legal advice on individual and collective employee relationships
• Work closely with HR to implement solutions ensuring compliance with regulatory requirements
• Draft, review, and negotiate employment contracts
• Advise on the employment lifecycle in alignment with French legal requirements and Mistral AI’s global policies
• Advise on collective representation matters, including CSE and associated employee representative bodies
• Collaborate with HR and local counsels to balance local legal requirements with operational efficiency
• Provide guidance on cross-border employment issues, including secondments, remote work, and international mobility
• Monitor and analyze labour law developments across key jurisdictions
• Proactively adapt internal processes to regulatory developments
• Serve as the legal liaison for Mistral’s HR teams
• Collaborate with Legal teams and local external counsels worldwide

Labour Legal Counsel

Solutions Engineer

• Work closely with Partner and GTM teams to drive adoption of Mistral's enterprise AI platform and models
• Help onboard Mistral solutions and models to strategic ISV and technology partner platforms
• Execute technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with GTM
• Drive enablement at scale across strategic partner technical and sales teams
• Create and update partner enablement assets, including technical demos, enablement videos, and reference architectures
• Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock customer value
• Represent Mistral AI at partner, customer, and industry events, including executive briefings, conferences, and developer gatherings
• Collaborate with Science, Product, Engineering, Support, and GTM teams to progress and support deals and provide expertise and insights

Partner Solution Architect

• Support Mistral AI’s GDPR compliance strategy as a close partner and advisor to product and engineering teams
• Manage compliance documentation, including records of processing personal data, data privacy impact assessments, and internal policies
• Answer and manage data subject requests
• Implement GDPR processes and automation
• Manage employee training on privacy topics
• Negotiate data processing agreements with providers and customers
• Monitor privacy regulations and supervisory authority guidance and decisions
• Advise the product team on privacy topics concerning new features
• Answer privacy-related questions from other teams
• Update compliance documentation accordingly
• Identify compliance issues and develop effective strategies and practical solutions

Privacy Legal Counsel

Customer Success Manager

• Manage a portfolio of enterprise customers to maximize the value of Mistral’s full-stack AI solutions
• Build trusted relationships with key stakeholders and tailor solutions to business objectives
• Lead customer onboarding, adoption, and ongoing engagement
• Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn
• Collaborate with Sales on upsell and cross-sell opportunities
• Partner with Product and Engineering to gather customer feedback and influence the product roadmap
• Develop and deliver customer training, enablement programs, and best practices
• Conduct regular business reviews (QBRs)
• Advise customers on leveraging Mistral’s AI solutions to achieve business outcomes
• Work with Support and Product teams to ensure seamless experiences from deployment to production
• Create and execute customer success plans with KPIs, timelines, and measurable outcomes
• Advocate for customer needs in product and strategic discussions
• Share customer insights with Product, Sales, and Engineering teams
• Clear deployment and adoption obstacles to accelerate time-to-value
• Support renewals, contract negotiations, expansion discussions, and internal coordination

Customer Success

Recruitment

• Build and scale Mistral's US-based research and engineering teams
• Shape technical recruitment strategy and operations
• Partner with Research leadership across Research Science, Research Engineering, and adjacent technical functions
• Partner with technical leaders and hiring managers to understand hiring needs, define role specifications, and identify technical talent
• Own full-cycle recruitment across Research Science and Research Engineering
• Advise hiring managers on market mapping, leveling, compensation positioning, and the competitive landscape
• Translate technical-role nuances into compelling candidate outreach
• Source passive and active candidates across US research and engineering talent pools
• Conduct intake and calibration sessions with hiring managers
• Drive efficient, high-conversion pipelines and close candidates
• Guide candidates through the hiring process and communicate Mistral's mission, culture, and trajectory
• Explain Mistral's AI positioning, frontier models, open-weight philosophy, and research credibility
• Provide insight into the research agenda, compute access, publication culture, and role impact
• Develop and refine technical recruiting processes, tools, and documentation
• Use data to diagnose pipeline issues and propose targeted solutions
• Build and maintain market maps, competitive intelligence, and talent pools
• Standardize technical interview rubrics, scorecards, and debrief practices
• Collaborate with Research leadership and the broader Talent team to elevate hiring standards
• Contribute to US technical talent acquisition strategy
• Partner on employer-brand and outbound sourcing initiatives, including academic pipelines, conference presence, and open-source community engagement

Talent Acquisition, Research

Product Manager

• Define and evangelize product strategy for the Context & Search platform
• Lead market and UX research to identify unmet needs, competitive gaps, and emerging enterprise-AI trends
• Own the product lifecycle from ideation through launch
• Collaborate with design and research teams to create and iteratively improve user experiences
• Drive go-to-market efforts, including pricing, positioning, and adoption strategies, with marketing and sales
• Align engineering, design, and business teams on priorities, trade-offs, and timelines
• Maintain a dynamic roadmap balancing quick wins and long-term strategic initiatives
• Build the foundation for how AI agents access, interact with, and leverage context, data, tools, platforms, and environments