Technical Marketing Engineer

Mistral AI Mistral AI · AI Frontier · Paris, France · Marketing

Technical Marketing Engineer at Mistral AI responsible for creating technical content to educate enterprise decision-makers, align technical capabilities with business goals, and accelerate sales cycles. This role acts as a liaison between science/engineering and marketing teams, translating complex LLM concepts into actionable insights for enterprise audiences.

What you'd actually do

  1. Create and Deliver Technical Content: Develop model/product technical launch materials, technical proof points, presentation decks, demo videos, webinars, workshops, blogs, whitepapers, and sales training materials.
  2. Enable Sales and Partners: Equip sales teams and partners with technical knowledge to engage in deeper, more credible conversations with technical stakeholders.
  3. Support Model Launches: Collaborate on model launches, ensuring technical messaging is clear and impactful.
  4. Engage with Analysts and Industry Leaders: Participate in analyst briefings, technical advisory boards (TABs), and industry standards discussions to position Mistral AI as a thought leader.
  5. Build Trust and Drive Adoption: Work with solutions architects and developer relations to ensure seamless integration and implementation of our solutions through targeted technical content.

Skills

Required

  • Ability to understand and communicate complex technical concepts to both technical and non-technical audiences
  • Familiarity with enterprise AI solutions, cloud environments, and technical sales enablement
  • Strong written and verbal communication skills, with a knack for storytelling and simplifying complexity

Nice to have

  • Experience with large language models (LLMs), including pre-training and post-training techniques
  • Hands-on experience with AI/ML models, especially in a technical marketing or solutions engineering capacity
  • Comfortable working in a fast-paced, innovative environment and thrive in cross-functional teams
  • Track record of creating technical content that drives adoption and accelerates sales cycles
  • Degree in Computer Science, Engineering, or a related technical field

What the JD emphasized

  • technical marketing
  • solutions engineering
  • AI/ML
  • enterprise software
  • large language models (LLMs)
  • pre-training and post-training techniques
  • technical content
  • sales cycles