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Mistral AI

Open-weight LLMs and enterprise AI deployment

Partner Manager - Inference

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience working in go-to-market roles, including at least 5 years working in partner sales or solution sales with cloud providers.
  • Strong experience in alliance management within the high-tech industry at strategic and operational levels.
  • Strong understanding of inference providers’ business models and products.
  • Demonstrated ability to engage and influence senior leadership and C-level executives.

Responsibilities

  • Own end-to-end responsibilities, including financial business outcomes, co-selling, and technical integrations.
  • Align engineering teams to orchestrate model rollout campaigns on inference platforms and ensure models are supported on day zero with the highest quality of service.
  • Develop and execute go-to-market plans to drive pipeline, sell-through, and co-selling.
  • Run co-marketing efforts, including assets, events, and hackathons.
  • Liaise with Mistral sales teams on strategic opportunities, especially with Digital Natives.

Desired Qualifications

  • At least 1 year of experience working at an AI lab or an inference provider.
  • Ability to identify and scale new business opportunities through partnerships.
  • Strong relationship-building, communication, and stakeholder management skills.
  • Strong organizational skills and the ability to manage multiple priorities and touchpoints.
  • High-energy, entrepreneurial, and results-driven approach.

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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