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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, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute.
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 across France, the USA, the 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. Learn more about our culture here.
About The Job
Within Mistral's Applied AI team, the Applied Science works closely with the research team to deliver co-training projects—from pre-training through post-training.
We are seeking a Technical Program Manager (TPM) to embed within our Applied Science organization. This role is critical to ensuring seamless execution of technical projects—from helping build the Applied Science product roadmap, tracking research papers and blog posts to maintaining the health of all Applied Science product verticals. You will also drive the customer experience process, helping clients onboard to our products, including highly technical cluster setups.
This role requires a unique blend of strong technical proficiency, project management expertise, and cross-functional leadership to align scientific innovation with operational excellence.
What you will do
1.
Technical Program Management:
- Oversee the tracking and dissemination of technical papers, blog posts, and research outputs for Applied Science projects.
- Conduct health checks for all Applied Science verticals, ensuring alignment with strategic goals and operational efficiency, and support execution.
- Design and operationalise systems for tracking project progress, surfacing dependencies, and maintaining momentum across teams.
2.
Customer Experience & Onboarding:
- Develop and refine a customer experience process to onboard clients to products, including cluster setup and technical integration.
- Act as a bridge between Applied Science teams and customers, ensuring smooth adoption and addressing technical challenges.
3. Cross-Functional Collaboration
- Work closely with Applied Science, Engineering, Product, and Solutions teams to align technical projects with business objectives.
- Facilitate GPU allocation, quota management, and infrastructure workflows to ensure resources are scaled and accessible.
4.
Process Improvement & Communication:
- Continuously identify and implement process improvements to enhance efficiency and productivity.
- Drive structured communication loops, including bi-weekly updates, all-hands meetings, and company-wide digests, synthesising technical details into clear, strategic narratives.
5.
Risk & Stakeholder Management:
- Identify potential risks and issues in project lifecycles, developing contingency plans to mitigate them.
- Build and maintain strong relationships with internal teams, partners, and clients, ensuring alignment and transparency.
About you
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Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
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3+ years of experience in technical program management, operations, or research coordination, preferably in • AI/ML or research-heavy organizations.
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Strong analytical and problem-solving skills, with experience structuring ambiguous projects into clear deliverables.
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Excellent written and verbal communication skills, with the ability to synthesize technical details for diverse audiences.
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Proven ability to drive cross-functional initiatives and manage complex stakeholder landscapes.
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Familiarity with model development pipelines (pre-training, post-training, release readiness).
It would be great if you
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Experience managing infrastructure workflows (API keys, quota, access).
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Track record of building systemic processes from the ground up.
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Comfort working in fast-paced, high-ambiguity environments where priorities shift quickly.
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Entrepreneurial mindset with a proactive approach to problem-solving and driving initiatives forward.
Benefits
💰 Competitive cash salary and equity
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gympass subscription
🚴 Transportation : Monthly contribution to a mobility pass
🧑⚕️ Health : Full health insurance for you and your family
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship
The personal data you submit as part of your application will be processed in accordance with Mistral AI's Applicant Privacy Policy.
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Mistral AI 소개

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
직원 수
Paris
본사 위치
$6.0B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.5
보상
4.0
문화
4.2
커리어
3.5
경영진
2.3
72%
친구에게 추천
장점
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
단점
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
연봉 정보
37개 데이터
Senior/L5
Senior/L5 · Solution Architect
1개 리포트
$273,000
총 연봉
기본급
$210,000
주식
-
보너스
-
$273,000
$273,000
면접 경험
1개 면접
난이도
3.0
/ 5
소요 기간
21-35주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
자주 나오는 질문
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
뉴스 & 버즈
Generative AI Platforms - Trend Hunter
Trend Hunter
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How France’s Mistral Built A $14 Billion AI Empire By Not Being American - Forbes
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3d ago
Connect the dots: Build with built-in and custom MCPs in Studio - Mistral AI
Mistral AI
News
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4d 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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