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Mistral is a full-stack AI company providing frontier models, developer tools, applications, and compute infrastructure. The company partners with enterprises across finance, manufacturing, defense, healthcare, and the public sector to co-create customized AI systems.
As a Partner Solution Architect on the Partner Solution Architecture Team, you will drive adoption of Mistral's enterprise AI platform and models through strategic partnerships. You will work closely with Partner and GTM teams to execute technical discovery, enablement, and deal progression.
Key responsibilities include:
- Onboarding Mistral solutions and models to strategic ISV and technology partner platforms
- Conducting technical discovery with partners to understand client needs, challenges, and desired outcomes in collaboration with GTM
- Driving enablement at scale across strategic partner technical and sales teams
- Creating and maintaining partner enablement assets: technical demos, enablement videos, reference architectures
- Supporting partners in identifying and qualifying opportunities where Mistral solutions deliver maximum value
- Representing Mistral at partner, customer, and industry events including executive briefings, conferences, and developer gatherings
- Collaborating with Mistral teams (Science, Product, Engineering, Support, GTM) to progress deals and provide technical expertise
Requirements:
- Experience in a technical partner presales, solutions architect, or consulting role with significant partner and customer-facing exposure
- Track record of building enablement assets and driving evangelism at scale across partner organizations
- Experience partnering with ISVs or technology partners, including 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 skills, including comfort with C-level conversations and outstanding presentation abilities across technical and business audiences
- Bachelor's or Master's degree in computer science, engineering, mathematics, or related field, or equivalent professional experience
Nice to have:
- Familiarity with MEDDPICC and Command of the Message sales methodologies
- Working knowledge of generative AI serving architectures (e.g., vLLM)
- Working knowledge of Kubernetes
