Search the 47 jobs at Mistral AI

The Product Marketing Manager will develop and execute go-to-market strategies to drive revenue and partner success, create sales enablement materials, craft product messaging, and conduct partner training while monitoring partner performance in a tech environment.

The Account Executive will focus on Digital Native companies in Germany, managing the sales process from lead generation through negotiation to closing deals. Responsibilities include developing strategic sales plans, enhancing customer relationships, demonstrating product expertise, and collaborating with internal teams to drive success.

As a Full-Stack Engineer, you will develop user-facing applications leveraging Mistral AI models for various uses such as chatbots and search engines. You will also create developer-centric tools, work on back-end development, and implement cloud solutions. This role requires 3+ years of experience in full-stack development with Python, ReactJS, and Typescript, alongside a strong interest in AI-based solutions.

As a Research Engineer at Mistral AI, you will build AI systems, accelerate research through complex pipeline work, and develop models and algorithms. You will interface research with products and create prototypes for AI applications while utilizing deep learning and machine learning technologies.

The Office Manager will oversee the functioning of the Palo Alto office, ensuring it runs smoothly. Responsibilities include managing office policies, collaborating with various teams, handling internal and external stakeholder interactions, and coordinating HR administrative tasks such as onboarding.

The AI Scientist - Safety will evaluate and enhance safety mechanisms for large language models, identify and mitigate risks and biases, develop monitoring systems for misuse, and collaborate on safety measures with the AI development team. The role focuses on ensuring that AI systems are ethical and beneficial while continuously improving safety practices.

The Account Executive will drive sales for Digital Native companies by managing end-to-end deal processes, validating value propositions, engaging with C-level executives, and collaborating with technical teams. Responsibilities include strategic outreach, deal management, and ensuring customer satisfaction throughout the sales cycle.

The Developer Relations Engineer will create documentation, tutorials, and sample code to help developers use Mistral AI's products, engage with the community, lead developer initiatives, and maintain integrations. They will stay updated on industry trends and assist users by resolving issues and providing guidance.

As a Site Reliability Engineer, you will enhance the reliability and performance of Mistral's platforms by balancing operational duties with software improvements. Responsibilities include maintaining fault-tolerant infrastructures, implementing monitoring and incident response systems, driving infrastructure automation, and collaborating on tooling for AI/ML workflows. You will also participate in on-call rotations and contribute to documentation and open-source projects.

As an AI Scientist Intern, you will fine-tune generative models, assist in design and implementation of machine learning algorithms, and conduct research in natural language processing. You will collaborate with experienced scientists and cross-functional teams while documenting findings and contributing to publications.

As an Enterprise Sales Executive, you will drive end-to-end sales processes with large customers, managing deals, developing outreach strategies, providing technical support during POCs, and ensuring successful negotiations with C-level executives.

As the first recruiter in the US for Mistral, you will partner with hiring managers to identify and attract top talent. You'll manage the full-cycle recruiting process, enhance employer branding, and use data to narrate hiring strategies. Your role involves improving recruitment processes and ensuring a high-quality candidate experience while collaborating closely with business functions.

The Enterprise Account Executive will drive the growth of Mistral AI by identifying and closing business opportunities with OEMs, developing strategic sales plans, managing deals, and building relationships with stakeholders. The role requires a strong background in technology sales, particularly in AI and embedded solutions, along with collaboration across teams to ensure customer success.

The Revenue Development Representative (RDR) will focus on generating a qualified sales pipeline through inbound and outbound marketing tactics. Key responsibilities include qualifying leads, collaborating with account executives, and utilizing CRM for tracking and optimization. The role requires excellent communication skills, time management, and a passion for AI.

As a Site Reliability Engineer, you will maintain and improve the reliability, scalability, and performance of Mistral's platform. Responsibilities include operational management of production systems, incident response, and collaboration with software engineers to enhance systems through automation, tooling, and best practices.

The AI Solution Architect will collaborate with sales teams to identify client needs and provide technical expertise for adopting Mistral AI's solutions. Responsibilities include guiding product implementation, supporting customer integration, and ensuring satisfaction post-deployment through reviews and optimization recommendations.

This role involves writing low-level code to maximize GPU (H100) efficiency for training and serving large language models, as well as integrating this code into high-level MLOps frameworks.

The Software Engineer will architect and optimize the inference backbone of the platform, automate benchmarks, and contribute backend expertise to AI-driven solutions, focusing on large language models within a dynamic team.

The Applied AI Engineer will onboard customers on Mistral AI products and APIs, manage relationships with stakeholders, and ensure effective integration in production settings. Responsibilities include deploying AI applications, collaborating with researchers and product engineers, guiding technical aspects during pre-sales and implementation, and contributing to open-source projects.

The role involves writing low-level code for high-performance GPU utilization, rethinking generative model architecture for efficient inference, and integrating low-level code into MLOps frameworks. Expertise in CUDA and distributed computation on GPU clusters is required.