Lead Product Manager, Inference

Job summary

Responsibilities

Mistral is building a sovereign AI cloud. Our inference platform already serves production traffic at scale. We are hiring a Lead Product Manager to own the inference portfolio within our Cloud & Inference organization.

• Strategy and vision: define the vision, strategy, and annual goals for the inference portfolio, aligned with customer needs and company objectives.
• Roadmap and execution: own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services. Prioritize, ship, measure, iterate.
• Customers: spend real time with AI-native startups and enterprises running advanced production workloads. Turn their constraints, like latency, throughput, compliance, and cost…
• Engineering partnership: work daily with inference engineering and the cloud infrastructure teams behind our data centers on capacity planning, scheduling, routing, and…
• Research and open source: track open-source inference advances and emerging model architectures, and turn them into performance and efficiency gains for the product.

What they're looking for

• Deep product experience in tech and infrastructure with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market.
• An engineering background before moving into product management.
• You have taken an infra or inference product from early stage to material revenue and adoption, owning complex and significant product lines end to end.
• Player-coach disposition: you lead from the front — hands-on product work now, with the range and appetite to build and coach a team as we scale.
• Fluency in the economics of the business: gross margin, unit economics, and the tradeoffs behind token pricing and GPU capacity.