Lead pricing and monetization strategies for AI products at Mistral, collaborating across teams to align with customer value in Paris.
Candidates with 8–10 years in GTM, product or strategy roles at deep-tech or SaaS firms and at least 5 years focused on pricing. They must have designed pricing for technical products such as APIs or cloud tools and understand usage-, seat- and license-based models plus PLG and enterprise motions. Strong financial modelling, data-driven experimentation and stakeholder management skills are essential.
As published by Mistral AI on their official careers page.
As Product Monetisation & Pricing Lead, you will shape and execute pricing strategies for Mistral AI’s product suite. You will work across Product, Engineering, Sales and Finance to align our pricing with customer value and ensure our monetisation supports both product‑led growth and enterprise deals. This role reports to the Head of Product Operations and is based in Paris with hybrid flexibility.
Design charge metrics and pricing tiers (usage, seats, subscriptions) for new and existing products.
Build financial models, run A/B tests and analyse usage data to optimise pricing and packaging.
Translate technical features and AI economics into clear value propositions and pricing narratives.
Benchmark competitors and monitor market trends to keep our pricing competitive.
Enable Sales, Marketing and Finance teams with pricing guidelines and training.
Establish processes and dashboards to track revenue, margins and adoption.
8–10 years’ experience in GTM, product or strategy roles in deep‑tech or SaaS companies, with at least 5 years pricing experience
Proven record designing pricing strategies for technical products (APIs, cloud or developer tools).
Deep understanding of usage‑, seat‑ and license‑based pricing models; familiarity with PLG and enterprise motions.
Strong analytical and financial modelling skills; comfortable with data‑driven experiments.
Excellent stakeholder management and communication skills; able to influence without authority.
Bonus: exposure to AI/LLM pricing levers (fine‑tuning, custom models) and fast‑growth tech startups.
Introduction call – 30 min
Hiring manager interview – 45 min
Interview with the Revenue Operations team – 30 min
Interview with the Finance team – 30 min
Deep‑dive interview with case study presentation – 60 min
Culture‑fit discussion – 30 min
Reference checks
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