
Product Monetisation & Pricing Lead
Our Take
Shape AI product pricing and monetisation strategies for Mistral AI's enterprise and PLG offerings.
What they’re looking for
- 8-10 years GTM/product/strategy in deep-tech/SaaS
- 5+ years pricing experience
- Pricing technical products (APIs, cloud, dev tools)
- Understand usage, seat, license pricing
- Familiarity with PLG and enterprise motions
- Strong analytical and financial modeling skills
- Excellent stakeholder management and communication
What you get
- Competitive salary and equity
- Health insurance
- Transportation allowance
- Sport allowance
- Meal vouchers
- Private pension plan
- Generous parental leave
Skills & Focus Areas
- pricing strategies
- financial modeling
- A/B testing
- usage data analysis
- stakeholder management
- communication
- product-led growth
- enterprise sales
As posted by Mistral AI
Role summary
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.
What you will do
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Design charge metrics and pricing tiers (usage, seats, subscriptions) for new and existing products.
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Build financial models, run A/B tests and analyse usage data to optimise pricing and packaging.
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Translate technical features and AI economics into clear value propositions and pricing narratives.
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Benchmark competitors and monitor market trends to keep our pricing competitive.
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Enable Sales, Marketing and Finance teams with pricing guidelines and training.
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Establish processes and dashboards to track revenue, margins and adoption.
About you
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8–10 years’ experience in GTM, product or strategy roles in deep‑tech or SaaS companies, with at least 5 years pricing experience
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Proven record designing pricing strategies for technical products (APIs, cloud or developer tools).
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Deep understanding of usage‑, seat‑ and license‑based pricing models; familiarity with PLG and enterprise motions.
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Strong analytical and financial modelling skills; comfortable with data‑driven experiments.
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Excellent stakeholder management and communication skills; able to influence without authority.
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Bonus: exposure to AI/LLM pricing levers (fine‑tuning, custom models) and fast‑growth tech startups.
Hiring process
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Introduction call – 30 min
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Hiring manager interview – 45 min
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Interview with the Revenue Operations team – 30 min
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Interview with the Finance team – 30 min
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Deep‑dive interview with case study presentation – 60 min
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Culture‑fit discussion – 30 min
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Reference checks
