Partner Solution Architect at Mistral AI

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia, and the Middle East. We are creative, low-ego, and team-spirited.

What You Will Do

• Help onboard Mistral solutions and models to strategic ISV and Tech partner platforms.

• Execute on effective 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 assets for partner enablement: technical demos, enablement videos, reference architectures, etc.

• Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.

• Represent Mistral AI at partner, customer, and industry events, including executive briefings, conferences, and developer gatherings.

• Collaborate with Mistral teams, from Science, Product, Engineering, Support, and GTM to progress and support deals, as well as providing expertise and insights where necessary.

What We Look For

• Experience in a technical partner presales, solutions architect, or consulting role with heavy partner and customer-facing exposure.

• A track record of building enablement assets and driving evangelism at scale across partner organizations.

• Experience partnering with ISVs or Technology Partners, driving technical account strategy, proof-of-concept scoping and support, and execution.

• Strong Python or TypeScript skills.

• Working knowledge of cloud architecture and deployment patterns for AI and ML solutions.

• Strong stakeholder management, including comfort with C-level conversations, and outstanding presentation skills across technical and business audiences.

• A Bachelor's or Master's in computer science, engineering, mathematics, or related field, or equivalent experience.

Nice to Have

• Familiarity with MEDDPICC and Command of the Message.

• Working knowledge of Generative AI serving architectures, e.g., vLLM.

• Working knowledge of Kubernetes.