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Mistral AI

Open-weight LLMs and enterprise AI deployment

Partner Solution Architect - Mena

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Previous experience in a technical partner pre-sales or consulting role with substantial partner- and customer-facing interactions, such as Implementation Consultant, Solutions Architect, or Sales Engineer.
  • Experience partnering with large technology cloud or platform providers and with sales and technical teams to drive technical account strategy, proof-of-concept scoping, and execution.
  • Hands-on experience deploying AI solutions and using technical skills throughout implementations.
  • Ability to drive complex interactions with technical teams and connect with technical stakeholders.
  • Strong Python development skills and the ability to integrate data from multiple sources.
  • Working knowledge of cloud architecture and deployment patterns for AI/ML solutions.
  • Experience building enablement assets and driving enablement or evangelism at scale.
  • Track record of managing complex implementation projects from discovery to delivery.
  • Experience running solution design workshops and translating business requirements into technical specifications.
  • Strong stakeholder management skills, including experience working with C-level executives.
  • Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
  • Experience working in a constantly changing environment with multiple internal stakeholders.
  • Ability to collaborate with cross-functional teams.
  • Fluent English, with strong written and verbal communication skills.

Responsibilities

  • Execute technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.
  • Help onboard AI Platform and model updates to strategic partner platforms.
  • Drive enablement at scale across strategic partner technical and sales teams.
  • Create and update partner enablement portal assets, including technical decks and documents, enablement videos, and reference architectures.
  • Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can create value for customers.
  • Collaborate with partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights as needed.
  • Create a strategic vision for customers based on their strategy, desired business outcomes, and required capabilities.
  • Test and experiment with newly deployed models, features, and tools; document findings, suggest fixes and improvements, and escalate deeper feedback to engineering teams.
  • Help build quality-control tooling for model deployments across cloud environments, including SDK, availability, and scalability considerations.
  • Guide and support partners and customers in deploying the text completion API into their infrastructure.
  • Work with customers and partners to fine-tune models to their requirements.
  • Liaise regularly with product and technical teams to relay feedback and suggest improvements.
  • Collaborate with Account Executives to help customers maximize the product's potential.
  • Provide post-deployment support and promptly address issues or challenges.
  • Recommend product optimizations or new features based on customer feedback.
  • Develop custom features for customers as needed.

Desired Qualifications

  • Track record of managing partnerships and customer-facing interactions, building relationships aligned with business objectives and customer satisfaction.
  • Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies such as Command of the Message.
  • Fluency in other European languages is ideal.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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