Jobs
Required skills
Product Management
AI/ML
Audio Technology
Voice Technology
User Research
Cross-functional Leadership
Data Analysis
Role summary
We’re seeking a strategic and execution-focused Product Manager to define and deliver the future of AI-generated audio and voice interfaces. We have recently released Voxtral, our state‑of‑the‑art speech understanding models and this is only a first step in redefining AI-generated audio content. This is a ground-floor opportunity to turn research breakthroughs into scalable, transformative products. You’ll own the strategy, roadmap, and execution for new interfaces, collaborating closely with research scientists, engineers, designers, and enterprise teams to bridge model innovation with real-world impact.
🧢 Reporting line: Product Director, Applications
📍 Location: Paris, France or London, UK
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 prosumer and enterprise-grade audio 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 in AI-driven audio and voice content.
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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: 7+ years of relevant experience with a focus on building enterprise-grade AI products and features (B2B / B2B2C)
- AI/ML fluency: Hands-on experience and/or deep technical understanding of ML-based systems — you understand technical trade-offs and can partner effectively with engineering teams.
- Industry Expertise : Knowledge of audio and voice agent architectures (STT/TTS/STS)
- Problem-solving: Experience in dynamic, competitive, and ambiguous environments
- 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.
- Pragmatism: 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 own outcomes end-to-end.
Now, it would be ideal if you have:
- Industry experience with audio or voice products
- Builder’s mindset: Founder or early-stage PM experience — 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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About 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
Employees
Paris
Headquarters
$6.0B
Valuation
Reviews
3.8
10 reviews
Work-life balance
2.5
Compensation
4.0
Culture
4.2
Career
3.5
Management
2.3
72%
Recommend to a friend
Pros
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
Cons
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
Salary Ranges
37 data points
Senior/L5
Senior/L5 · Solution Architect
1 reports
$273,000
total per year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview experience
1 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
Common questions
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
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