Product Manager MLops

OUR STORY:

Join Scaleway and shape the sovereign cloud of tomorrow !

Since 1999, we have been designing secure, sustainable infrastructures aimed at supporting the most ambitious companies.

Historically known for our dedicated servers (Dedibox), we made a strategic shift to cloud computing in 2015. Staying true to our principles of simplicity, flexibility, and technical excellence, we have become one of the leading players in Europe in the sector.

With the rise of artificial intelligence, we have strengthened our commitment, supported by the Iliad Group, which is investing €3 billion to develop a serious, sovereign AI alternative to American and Asian giants.

Every day, thanks to our fast-growing portfolio of cloud and AI products (bare metal, containerization, serverless, AI, etc.), Scaleway proudly serves thousands of customer across the private and public sector, from corporations like France Télévisions or Hachette Livre, to fast-growing startups like Photoroom and Biolevate, to institutions like the City of Copenhagen.

Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux and Lyon.

WHY WE NEED YOU?

Scaleway is accelerating its ambitions in AI and Machine Learning, and our growth is driving us to strengthen our Product team to build a robust and scalable MLOps offering integrated within the broader Scaleway ecosystem.

Your mission will be to act as a Product Manager in charge of defining and launching Scaleway’s MLOps product line, starting with a managed MLflow offering. You will help shape the product vision, accelerate delivery, validate customer needs, and contribute to positioning Scaleway as a key European cloud player for Machine Learning infrastructure and workflows.

YOUR FUTURE TEAM

We work in a collaborative and international environment where the diversity of Scalers, combined with a spirit of sharing, helps bring new projects to life every day, advancing our ambitions together.

You will join a newly created team focused on MLOps and AI platform services. Initially, you will work closely with 4 engineers from Deviqon who are already ready to kickstart the project, with the ambition to progressively internalize and grow the team over time.

You will collaborate directly and daily with engineering teams, while also interacting with customers and cross-functional stakeholders to ensure rapid delivery and strong product adoption.

Manager information: Fredéric Bardolle

YOUR DAILY ROUTINE

• Define and drive the product vision and roadmap for Scaleway’s MLOps offering

• Launch new MLOps products rapidly, starting with a managed MLflow solution

• Act as the “Voice of the Customer” during discovery and validation phases with data scientists and ML engineers

• Work closely with engineering teams to ensure fast and iterative product delivery

• Validate customer use cases and prioritize features based on impact and adoption

• Ensure strong integration between MLOps products and the broader Scaleway ecosystem

• Balance strategic product vision with hands-on operational execution

• Contribute to Scaleway’s AI and cloud strategy through customer-centric product development

• Collaborate with engineering and cross-functional teams to align roadmap and delivery priorities

ABOUT YOU

HARDSKILLS:

2 to 5 years of experience working on technical products or platforms Experience working on Machine Learning, Data Platform, or MLOps-related products Strong understanding of Machine Learning production environments and workflows Experience collaborating closely with technical teams such as engineers, data scientists, or ML engineers Familiarity with technologies such as MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, or Jupyter Notebook is a strong plus Background as a Data Engineer or Data Scientist transitioning into Product Management is highly appreciated Knowledge of production ML systems, deep learning, neural networks, and MLOps ecosystems

SOFT SKILLS:

Prioritization: Ability to focus on high-impact initiatives in fast-moving environments Collaboration: Strong ability to work efficiently with highly technical teams Business Acumen: Ability to connect customer needs, business impact, and product decisions Execution mindset: Comfortable shipping products quickly and iterating based on feedback Tech Curiosity: Strong interest in AI, Machine Learning, cloud infrastructure, and developer tools

WHAT YOU WILL FIND AT SCALEWAY ++++

- Hybrid work: We offer up to 3 days of remote work per week.
- Offices: Our offices are spacious, dynamic workspaces with bold design, conveniently located near public transport. Most of our offices feature outdoor spaces (terraces) and bike parking facilities.
- Dining: Our chef provides a healthy meal service at the headquarters, and breakfast is available across all our sites year-round. Scalers working from regional sites enjoy a Swile card for lunches.
- Well-being commitments: Whether it’s access to a gym, daycare places, or discounted caring services, Scaleway is committed to supporting Scalers in maintaining a balanced life.
- International environment: With dozens of nationalities, Scaleway offers a stimulating environment where English is as widely spoken as French.
- Career & Mobility: Our managers value internal mobility, and opportunities to transition to other entities within the Iliad Group are accessible to all Scalers.

Why join the Scaleway adventure?

✔ Build Scaleway’s MLOps offering from scratch and have a direct impact on product strategy

✔ Work on cutting-edge AI and Machine Learning infrastructure topics

✔ Join one of Europe’s leading cloud providers with more than 100 cloud products across IaaS, PaaS, and AI

✔ Collaborate with highly technical teams in a fast-paced and entrepreneurial environment

✔ Help shape the future of AI infrastructure in Europe

THE NEXT STEPS …

Discovery call with a recruiter (30 min) Interview with the manager, Fred Bardolle, to understand your technical skills and approach to the role (45 min) Use Case session with Franck Pagny (mandatory) and Product / Engineering stakeholders to validate your expertise (1h) Final discussions with the team and future collaborators