Solution Engineer (Europe) - Mistral

Mistral AI is looking for a Solution Engineer to drive adoption of its products with its early customers.

The Solution Architect will be an integral part of our team, dedicated to driving the successful deployment of Mistral AI products within our customer's infrastructure. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions not only meet but exceed client expectations.

They will participate in designing Mistral AI products so that they meet many customers needs. This is a critical role for Mistral AI to propose the smoothest experience with generative AI to its customers.

The Solution Architect will not be deployed on Mistral AI customer premises, but will follow closely their process of integration from Mistral AI offices. They will work very closely with the product team to design and implement new features.

Conduct pre-sale calls to understand potential clients' needs, challenges, and aspirations.

Lead qualification calls to pinpoint prospects who would gain the most from our solutions.

Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary.

Guide and support customers in deploying our text completion API into their infrastructure.

Work closely with customers to fine-tune models according to their specific requirements.

Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.

Regularly liaise with the product and technical teams to relay feedback and suggest improvements.

Design and develop product features that would meet the need of many customers.

Continually ensure that the customer is maximising the product's potential.

Provide post-deployment support, addressing any issues or challenges that arise promptly.

Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.

Offer recommendations for product optimisations or new features based on customer feedback.

Develop these features if needed.

PhD / master in AI / data science.

Passion for AI, with a constant drive to stay updated and ahead of the curve.

Proven experience in product implementation in AI or machine learning products.

Strong communication skills with an ability to explain complex technical concepts in simple terms.

Demonstrated ability to manage projects and lead them to successful completion.

Proficient in understanding and developing code.

Familiarity with front-end interfaces and integration processes.

Ability to work collaboratively in a team environment.