Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Product Manager MLops

Scaleway
CompanyScaleway
CategoryProduct
LocationParis
RemoteHybrid
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted25 May 2026
Last verified30 Jul 2026
SourceEmployer career page (lever)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
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 platformsExperience working on Machine Learning, Data Platform, or MLOps-related productsStrong understanding of Machine Learning production environments and workflowsExperience collaborating closely with technical teams such as engineers, data scientists, or ML engineersFamiliarity with technologies such as MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, or Jupyter Notebook is a strong plusBackground as a Data Engineer or Data Scientist transitioning into Product Management is highly appreciatedKnowledge of production ML systems, deep learning, neural networks, and MLOps ecosystems SOFT SKILLS: Prioritization: Ability to foc
HOUSE AD986,449 openings. Erioun finds yours.Scored against your own profile, every hour.Try the radar →