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Mistral AI

Open-weight LLMs and enterprise AI deployment

Lead Product Manager - Inference

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • Deep product experience in technology and infrastructure, with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market.
  • First-hand experience building robust, at-scale AI infrastructure.
  • An engineering background before moving into product management.
  • Experience taking an infrastructure or inference product from early stage to material revenue and adoption, while owning complex and significant product lines end to end.
  • Fluency in gross margin, unit economics, token pricing, and GPU capacity tradeoffs.
  • Ability to prototype with AI coding tools, write product specifications, and unblock work independently.
  • Ability to operate amid ambiguity and establish credibility with executives, engineers, and customers.

Responsibilities

  • Define the vision, strategy, and annual goals for the inference portfolio in alignment with customer needs and company objectives.
  • Benchmark the managed-inference field and identify areas where the company can compete successfully.
  • Own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services; prioritize, ship, measure, and iterate.
  • Own product adoption, revenue contribution, and gross margin; treat cost per token, unit economics, and capacity tradeoffs as product decisions.
  • Partner with go-to-market, Finance, and Marketing on pricing, packaging, and launches.
  • Spend time with AI-native startups and enterprises running advanced production workloads, and translate constraints such as latency, throughput, compliance, and cost into roadmap choices.
  • Work daily with inference engineering and cloud infrastructure teams on capacity planning, scheduling, routing, and reliability.
  • Track open-source inference advances and emerging model architectures, and turn them into product performance and efficiency gains.
  • As the portfolio scales, help shape and grow the inference product management team through hiring, mentoring, and setting the product bar.

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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