Partner Manager Lead – NVIDIA

Mistral AI is hiring a Partner Manager Lead – NVIDIA in Palo Alto, United States. Level rates it ; you can apply on Mistral AI.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a lead role.
Level lists 234 other open roles at Mistral AI.
The role was posted within the past week.

AI in this role

About Mistral

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.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. 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.

About the role

We are looking for a Partner Manager to own and lead our relationship with NVIDIA — our most strategic partner in the AI revolution. This is not a typical GTM partnership focused solely on revenue: you will shape and drive collaboration across technology, research, and go-to-market.

Your responsibilities will include:

Strategic technology collaboration — drive joint initiatives that advance Mistral's AI capabilities (e.g., industrial engineering and cutting-edge model deployment).
Research acceleration — amplify Mistral's model launches through NVIDIA, and launch co-training and co-engineering programs.
GTM execution — develop and execute go-to-market plans with NVIDIA, build pipeline, and co-sell on strategic opportunities.
Co-marketing — support joint announcements, presence at key industry events such as GTC, and coordinated communications.
Relationship building — build a strong internal network within NVIDIA, spanning product, research, and sales teams.

You will report into the Compute Partner organization, at the intersection of GTM, Science, Marketing, FDEs, and Mistral leadership.

What Makes You a Qualified Candidate

10+ years of experience working in Partnership roles, including 2+ years working with NVIDIA
2+ years of experience working with NVIDIA
Proven track record managing complex partner relationships and driving measurable business outcomes
Strong experience in alliance management within the high-tech industry at strategic and operational levels
Demonstrated ability to engage and influence senior leadership and C-level executives

Nice-to-have qualifications

2+ years of experience working with an AI Lab
Strong understanding of NVIDIA's business model, products, programs, and funding structures
Experience developing and executing GTM strategies and business plans with partners
Ability to identify and scale new business opportunities through partnerships
Excellent relationship-building, communication, and stakeholder management skills
Strong organizational skills with the ability to manage multiple priorities and touchpoints
High energy, entrepreneurial mindset, and results-driven approach

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

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How we rate this

Partner Manager Lead – NVIDIA at Mistral AI rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.