招聘
必备技能
Product Management
Generative AI
LLMs
User Research
Cross-functional Leadership
Data Analysis
Roadmap Planning
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role summary
We are seeking a talented Product Manager to define and execute the product strategy for one of our squad of our Mistral AI Studio product. AI studio is our enterprise platform that enables teams to build, evaluate and operate AI systems reliably, safely, and at scale. It provides the infrastructure enterprises need to move from prototypes to production: full-stack observability, durable agent execution and a governed AI Registry that tracks every asset and version across the lifecycle. Where today’s teams rely on ad-hoc scripts, fragile prompt iterations, and scattered evaluation methods, AI Studio brings discipline, traceability and continuous improvement, turning AI into a dependable operational capability.
As Product Manager, you will be integrated to a specific squad (Observability, API and developer experience, Workflows, Connectors, ...) and will define how enterprises close the loop from prompts to production: how they observe AI behavior, run complex AI workflows, version and govern every asset and deploy safely across hybrid and self-hosted environments.
📍 Location: Paris
What you will do
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Define the Future
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Set the vision: Shape and evangelize a compelling product strategy for Enterprise AI tools, ensuring alignment with company goals and market opportunities.
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Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends enterprise product management.
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Build & Ship
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Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.
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Champion the user: Partner with design and research to craft intuitive, high-impact experiences, using data and feedback to refine continuously.
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Scale & Execute
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Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.
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Align stakeholders: Rally engineering, design and business teams around priorities, trade-offs and timelines.
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Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.
Required Qualifications:
- Product Management: 5+ years of relevant experience in new, competitive, fast-paced and ambiguous environments.
- Technical skills: Hands-on experience with generative AI, LLMs or ML-driven products ideally in large solutions. You understand technical trade-offs and can partner effectively with engineering teams.
- User obsession: Relentless focus on solving real user problems, backed by data and qualitative insights.
- Cross-functional influence: Proven ability to align and inspire engineering, design, and go-to-market teams without direct authority.
- Problem-solving: Balance big-picture thinking with hands-on problem-solving. You’re equally comfortable crafting a roadmap and diving into metrics.
- Communication: Crisp, persuasive storytelling for executives, teams, and users whether in docs, decks, or whiteboard sessions.
- Adaptability: Thrive in high-velocity, dynamic settings where priorities shift quickly.
- Collaboration: Low ego + high EQ. You build trust and drive decisions through clarity, not hierarchy.
- Autonomy: Self-directed with a bias for action, you can navigate unknowns and own outcomes end-to-end.
Now, it would be ideal if you have:
- Growth mindset: Deep familiarity with product-led growth strategies (e.g., viral loops, onboarding optimization, monetization, etc.)
- Builder’s mindset: Founder or early-stage PM experience where you’ve turned 0 -> 1 ideas into products users love.
- Technical depth: Ability to prototype, hack, or dive into code when needed (even if not a core responsibility).
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关于Mistral AI

Mistral AI
Series BMistral AI is a French artificial intelligence company that develops and provides large language models and AI solutions. The company focuses on creating efficient and powerful AI models for various applications.
51-200
员工数
Paris
总部位置
$6.0B
企业估值
评价
3.8
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
2.3
72%
推荐给朋友
优点
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
缺点
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
薪资范围
37个数据点
Senior/L5
Senior/L5 · Solution Architect
1份报告
$273,000
年薪总额
基本工资
$210,000
股票
-
奖金
-
$273,000
$273,000
面试经验
1次面试
难度
3.0
/ 5
时长
21-35周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
常见问题
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
新闻动态
Generative AI Platforms - Trend Hunter
Trend Hunter
News
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6d ago
How France’s Mistral Built A $14 Billion AI Empire By Not Being American - Forbes
Forbes
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6d ago
Connect the dots: Build with built-in and custom MCPs in Studio - Mistral AI
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News
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1w ago
The OpenAI / TBPN Audit: Why Anthropic’s Next Acquisition Should Be a Regulatory Network
https://preview.redd.it/q7ltkacfu2tg1.jpg?width=3000&format=pjpg&auto=webp&s=261ce6e7090baf84297a882ffa5b7e62f0d09955 # Forensic Audit: OpenAI’s TBPN Acquisition, the Enterprise Trust Gap, and the Dawn of Regulatory Media **Listen to audio at** [**https://enoumen.substack.com/p/the-openai-tbpn-audit-why-anthropics**](https://enoumen.substack.com/p/the-openai-tbpn-audit-why-anthropics) OpenAI just spent hundreds of millions to buy the Silicon Valley narrative. It’s a brilliant cons
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