Machine Learning Jobs in France.
All active Machine Learning roles based in France.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Data Engineering Manager
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.
Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.
You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.
Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
What You'll Do
- Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
- Grow the teams by attracting great talent from your network.
- Foster an inclusive and caring culture where everyone can do their best work.
- Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
- Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
- Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
- Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities
Skills & Experience
- Experience working in a high growth scaleup environment
- Passionate about climate
- Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
- 2+ years experience leading and managing data engineers across multiple teams
- Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
- Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
- Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
- Strong leadership skills with the ability to mentor and coach engineers at all levels
- Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
- Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure
Nice To Have
- Experience working with maps/imagery/geospatial domains
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
Engineering Manager, Machine Learning
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.
Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.
You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.
Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
What You'll Do
- Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
- Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
- Grow the teams by attracting and hiring great Data and ML talent
- Foster an inclusive, supportive, and caring culture where everyone can do their best work
- Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
- Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
- Ensure the technical approaches within your domains support future product and modelling needs
- Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
- Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning
Skills & Experience
- 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams
- Passionate about climate and the role technology can play in addressing environmental challenges
- Experience working in a high-growth scale-up or startup environment
- Product-minded, with the ability to demonstrate meaningful business impact through technology
- Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
- Experience working with python-based ML or data workflows and collaborating closely with data scientists
- Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
- Excellent communication skills and the ability to collaborate effectively in cross-functional environments
- Passion for learning and staying current with evolving technologies and industry trend
Nice To Have
- Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
Software Engineer Intern - AI Privacy (Stage de fin d'études)
Share this job
About Dashlane
Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.
We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner.
Are you a future intern passionate about unraveling complex challenges within the ever-evolving and exciting field of credential security? If so, join Dashlane internship program and shape the future of security!
About the role:
As an intern as Dashlane, you will be part of the Analysis & Contextual Experience team. You will work on the AI Data Loss Prevention (DLP) project, a pioneering industry solution that creates a frictionless security layer for tools like ChatGPT or Gemini. Your work will involve building smart redaction to automatically tokenize PII and secrets in prompts, while developing a seamless workflow that re-injects real data into AI responses to ensure enterprise security and regulatory compliance without compromising the user experience. You will tackle these software engineering challenges in close collaboration with our team of Software and Machine Learning engineers.
Location:
You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.
At Dashlane you will:
Work on the improvements and maintenance of our machine learning supply chain to build models embedded inside a web extension. This will imply:
- Improving internal tools to collect and label data. Participate to create a GUI for automatic labelling of data
- Improve visibility and accessibility on data used to train our ML models
- Help to structure raw data extracted from the web into structured data ready for training
- Explore AI deployment in the context of a web extension with it's own security and performance specifications (ex: Zero-knowledge architecture)
Requirements:
- You are studying Computer Science, Software Engineering, Software Security or similar
- You are looking for an end of studies internship
- You have experience* with GitHub, Gitlab or similar
- You have experience* with Typescript/Javascript.
- You have a strong interest in security topics and in AI
- You are fluent in English (written and verbal)
*This experience can be academic, personal projects, etc. Make sure to refer to them in your CV!
We're Also Looking For:
- Have a solid foundation in computer science, with strong competencies in data structures, algorithms and software design
- Strong interest in security and AI topics
- Able to take an HTML & CSS web page and extract information to structure it and store it.
- Someone technically flexible that can intervene in various subjects (Server, Front, CI)
- We do not require a deep knowledge of each subject, more an ability to work on the different side without being lost
What Dashlane offers you:
- Company wide well-being days (one per quarter)
- Team building & social events - weekly lunch in the office and monthly happy hour
- The chance to learn and grow in an international environment, a dynamic office, and a team full of experts keen to collaborate
- ...and the opportunity to convert the internship into a permanent position if it goes well!
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience:
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
Ready to apply?
Apply to Dashlane
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.
This role will be based remotely in Ireland.
Roles Responsibilities
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
- Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263346131
Ready to apply?
Apply to MongoDB
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.
This role will be based remotely in the UK.
Roles Responsibilities
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
- Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263346131
Ready to apply?
Apply to MongoDB
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.
This role will be based remotely in France.
Roles Responsibilities
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
- Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263346131
Ready to apply?
Apply to MongoDB
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work from France or any country in the Iberian Peninsula (Spain, Portugal, or Andorra).
Your responsibilities will include:
- Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
- Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
- Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
- Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
- Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
- 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
- Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
- Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
- Excellent communication skills, fluency in French or Spanish preferred
- Customer-centric mindset
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
- Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for an experienced, community-focused professional to join our global startup team as Startup Community Manager - France. In this role, you’ll take ownership of developing and executing our startup community engagement strategy across key markets, cultivating relationships with developer communities, accelerators, universities, and founder networks.
You’ll focus on delivering high-impact events, meaningful engagement programs, and tailored resources that activate and grow Nebius’ presence within the global AI startup ecosystem. You’ll work cross-functionally to ensure seamless execution and measurable results, helping position Nebius as the cloud partner of choice for AI-native startups worldwide.
You are welcome to work remotely from Paris.
Your responsibilities will include:
Develop and Manage Ecosystem Partnerships
- Identify, build, and maintain strategic relationships with key accelerators, universities, developer communities, research organisations, and other startup ecosystem partners globally.
- Act as a trusted Nebius representative within the global startup ecosystem, strengthening our visibility and adoption among founders, developers, and technical teams.
Design and Deliver Startup Engagement Programs
- Create and execute scalable, community-driven initiatives that attract, support, and retain high-growth AI startups.
- Ensure Nebius’ offerings deliver real value to founders and technical teams through tailored resources, onboarding support, and ongoing enablement.
Lead High-Impact Events and Ecosystem Activations
- Plan and execute founder meetups, technical workshops, hackathons, and summits that showcase Nebius’ commitment to supporting the AI startup community.
- Collaborate with partners and internal teams to maximise event impact, drive attendance, and amplify engagement across priority markets.
Drive and Nurture Startup Pipeline
- Work cross-functionally with sales and marketing teams to identify, engage, and convert high-potential startups into long-term Nebius users.
- Maintain clear tracking of engagement activities, pipeline development, and program participation across regions.
Enablement and Community Resources
- Develop and maintain best-practice playbooks, onboarding guides, case studies, and enablement materials to educate startups and partners on effective use of Nebius’ platform.
- Ensure consistent, high-quality resources that support startup adoption and success.
Measure and Optimise Community Success
- Own and deliver against clear key performance indicators (KPIs) such as lead generation, community growth, event outcomes, and pipeline contribution.
- Maintain a strong results-driven mindset, ensuring all programs and initiatives are aligned to measurable goals.
- Use data and feedback proactively to evaluate impact, identify opportunities, and optimise strategies for continuous improvement.
Collaborate Across Teams
- Partner closely with internal stakeholders—including marketing, sales, product, and solutions architecture—to ensure community insights inform broader go-to-market strategies and product development.
- Champion the voice of the startup and developer community within Nebius.
We expect you to have:
- Minimum of 3 - 5 + years of professional experience in community management, partnerships, or ecosystem development, with at least 1.5 years working in the startup ecosystem (e.g., accelerators, AI/cloud startups, developer or founder communities).
- Proven ability to build and manage partnerships within the global AI and startup ecosystem.
- Experience developing and executing high-impact community programs, events, or partner initiatives.
- Strong understanding of the AI/startups landscape, including developer and founder needs.
- Excellent organisational, communication, and presentation skills, with experience influencing partners and internal stakeholders.
- Ability to work independently and collaboratively in a fast-paced, high-growth, cross-functional environment.
- Familiarity with AI infrastructure, cloud computing, or developer tools, with the ability to learn new technologies quickly.
- Genuine passion for AI, cloud computing, and supporting startup founders.
It will be an added bonus if you have:
- Established network in the global AI and startup ecosystem, with existing relationships across mainstream accelerators, investors, developer communities, and founder networks.
- Hands-on experience planning and delivering events ranging from meetups and workshops to hackathons and summits.
- Experience in technology partnerships, developer advocacy, or customer enablement for cloud or AI/ML solutions.
- Proven track record of driving results through community engagement and partner collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Technical Product Manager - Soperator
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.
Your responsibilities will include:
• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.
We expect you to have:
• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.
It will be an added bonus if you have:
• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Technical Project Manager / IT Infrastructure Engineer
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
The role
We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.
Your responsibilities will include:
-
Management and delivery of IT infrastructure projects, change requests in data centers
-
Proactively identify and manage resolution of technical and operational issues
-
Managing risks and dependencies in live environments
-
Maintain clear operational documentation, including plans, risk logs, and issue trackers.
-
Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.
-
Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.
-
Collaborate with cross-functional teams.
-
Engage directly with data center engineers, vendors, and operations teams.
-
Participate in related project tasks, including automation, process improvements, and design support as needed.
We expect you to have:
-
Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.
-
Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.
-
Hands on experience working with IT hardware in data centers.
-
Be comfortable in data center environments and during live operations.
-
Experience in project delivery, team management, cross team collaboration
-
Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.
-
Ability to document processes, maintain tracking systems, and produce clear deployment reports.
-
Activity, responsibility and purposefulness
-
Ready for occasional business trips
It will be an added bonus if you have:
-
Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)
-
Relevant technical certifications
-
In depth technical knowledge of GPU servers, compute nodes, high-speed networking
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for an entrepreneurial, strategic, and partnership-focused professional to join our global startup team as a Venture Ecosystems Lead, France. In this role, you’ll take ownership of growing and managing our global startup pipeline by developing strong relationships with leading venture capital firms, accelerators, and startup communities in France.
You’ll focus on driving adoption of our established startup program by sourcing high-potential AI startups, co-creating value-added initiatives with France partners, and delivering impactful ecosystem activations. You’ll be a strategic thinker and doer—comfortable managing complex partnerships, growing the deal pipeline, and delivering exceptional experiences that deepen Nebius’ role as the cloud partner of choice for AI-native startups in the regions.
You’re welcome to work with us remotely from Paris.
Your responsibilities will include:
- Build and maintain strong relationships with leading venture capital firms, PEs, accelerators, and key startup ecosystem partners in France.
- Act as a trusted Nebius representative, growing visibility and influence in the VC and startup ecosystem in France.
Drive and Grow Startup Pipeline
- Source, qualify, and onboard high-potential AI startups into Nebius’ established startup program.
- Collaborate with sales and marketing teams to ensure clear tracking, strong engagement, and effective conversion into long-term Nebius customers.
Create and Deliver Value-Added Initiatives
- Design and execute tailored partner initiatives, joint campaigns, and enablement resources.
- Develop compelling GTM materials such as case studies and playbooks to support adoption and success.
Measure and Optimise Partnership Success
- Own and track KPIs including lead generation, startup acquisition, activation rates, and revenue contribution.
- Use data and feedback to evaluate impact, identify opportunities, and optimise strategies.
Collaborate Across Teams
- Partner with internal stakeholders—including sales, marketing, channel, product, and solutions architects team—to align goals and ensure seamless execution.
- Champion the voice of the EMEA startup and VC community within Nebius.
We expect you to have:
- Minimum 7+ years of professional experience in GTM, strategic partnerships, business development or sales, with at least 5 years working in the startup or venture ecosystem.
- Deep understanding of VC and startup dynamics, investment models, and growth strategies in the French Region.
- Proven ability to drive qualified pipeline growth and deliver measurable business impact through partnerships.
- Excellent organisational, communication, and presentation skills.
- Ability to work independently and collaboratively in a fast-paced, cross-functional environment.
- Familiarity with the AI and cloud computing landscape, with the ability to learn new technologies quickly.
- Genuine passion for the startup ecosystem, with consistent participation in the VC or technology events and conferences.
- Experience using CRM tools for pipeline management, internal communication, and workflow automation.
- Experienced in managing measurable quotas and using key performance metrics to track progress and drive results.
It will be an added bonus if you have:
- 5 years of experience working in a leading VC/PE firm, global accelerator, as a startup founder, or as an early team member of a venture-backed AI startup.
- Established, high-trust network within the French venture capital ecosystem.
- Experience in technology partnerships or selling AI/cloud solutions.
- Strong understanding of AI infrastructure, cloud solutions, and the needs of AI/ML startups.
- Strong existing venture network in France.
- Fluent French and English are required, both written and verbal.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a highly organized and experienced Warehouse and Logistics Specialist to oversee and optimize logistics, warehouse management and asset-related processes.
This role will involve implementing and refining asset management processes, review logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.
This role is on-site in our Lille location.
Your responsibilities will include:
- Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
- Implement asset management processes to track the full lifecycle of assets.
- Review and refine logistics/warehousing processes to identify areas for improvement.
- Set up and manage equipment certification processes to meet operational and regulatory requirements.
- Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
- Manage insurance for assets, including claims, renewals and risk mitigation strategies.
- Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
- Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
- Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.
- 3-5 years of experience in logistics or logistics project management.
- Familiarity with logistics management systems, ERP software and asset-tracking tools.
- Strong project management skills with the ability to manage multiple tasks and priorities.
- Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
- Strong attention to detail and organizational skills.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
AI/ML Specialist Solutions Architect
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.
You’re welcome to work on-site in Amsterdam or remotely from any other EU country.
Your responsibilities will include:
- Designing customer-centric solutions that maximize business value and align with strategic goals.
- Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
- Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
- Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.
We expect you to have:
- 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
- Strong understanding of ML ecosystems, including models, use cases and tooling.
- Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Hands-on knowledge of frameworks like PyTorch or JAX.
- Excellent verbal and written communication skills.
It will be an added bonus if you have:
- Expertise in deploying inference infrastructure for production workloads.
- Ability to transition ML pipelines from POC to scalable production systems.
Preferred tooling:
- Programming Languages – Python, Go, Java, C++
- Orchestration – Kubernetes (K8s), Slurm
- DevOps Tools – Git, Docker, Helm
- Infrastructure as Code (IaC) – Terraform
- ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Customer Engineer EMEA
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are looking for a IT Support Manager in our data center, the key person in managing IT infrastructure maintenance. You will manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters. This role is focused on ensuring stable, efficient, and scalable operations through people leadership, structured support processes, and hands-on technical oversight.
You will own day-to-day IT support operations, oversee maintenance and incident resolution for GPU clusters, and ensure high service levels across hardware, network, and field support activities. You will act as a key escalation point, drive operational improvements, and align support execution with broader data center objectives.
Your responsibilities will include
-
Lead and manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters and region IX colocations.
-
Ensure high availability and reliability of GPU clusters and IT infrastructure
-
Act as the primary escalation point for complex hardware, network, and operational incidents
-
Monitor and drive SLA, KPI, and incident resolution performance across IT support services
-
Oversee proactive maintenance, troubleshooting, and problem management activities
-
Collaborate with infrastructure engineers, vendors, and colocation partners to resolve issues and deliver improvements
-
Maintain and improve support processes, documentation, and team training materials
-
Manage IT asset lifecycle activities, relates to responsibility area, including RMAs
We Expect You to Have
-
3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment.
-
Strong hands-on background in diagnosing and resolving server hardware issues, including GPU-based systems, fiber networks.
-
Solid understanding of data center operations, server platforms, and enterprise networking principles.
-
Practical experience with IT service management processes (ITIL / ITSM).
-
Basic proficiency with Linux/Unix operating systems and command-line tools.
-
Proven ability to manage operational KPIs, incidents, and escalations.
-
Analytical skills
-
Proactive mindset, strong sense of ownership, and the ability to lead teams in high-pressure environments.
-
High proficiency in spoken and written English.
It will be an added bonus of you have:
-
Relevant certifications and trainings
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.
Your responsibilities will include
-
Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting
-
Execute workarounds and solutions for IT hardware issues
-
Act as a subject matter expert and point of escalation for L1 and L2 technicians
-
Create new processes and documentation for IT hardware team
-
Collaborate with related departments to im
-
Collaborate with vendors on warranty replacements (RMA), create requests and manage.
-
Improve support processes, documentation and training materials
Requirements
-
Knowledge of datacenters, and server equipment
-
Deep knowledge of IT hardware and practical experience of troubleshooting
-
Skills working with the Unix/linux operating system and command line
-
Experience with equipment monitoring, data analysis and presentation
-
Proactiveness and sense of responsibility
-
High proficiency in spoken and written English
It will be a bonus if you have
-
Skills of repairing electronics at the component level (SMD)
-
Knowledge of network equipment and troubleshooting
-
Driving license type B
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Data Center IT Infrastructure Engineer
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.
Your responsibilities will include
-
Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting
-
Execute workarounds and solutions for IT hardware issues
-
Act as a subject matter expert and point of escalation for L1 and L2 technicians
-
Create new processes and documentation for IT hardware team
-
Collaborate with related departments to im
-
Collaborate with vendors on warranty replacements (RMA), create requests and manage.
-
Improve support processes, documentation and training materials
Requirements
-
Knowledge of datacenters, and server equipment
-
Deep knowledge of IT hardware and practical experience of troubleshooting
-
Skills working with the Unix/linux operating system and command line
-
Experience with equipment monitoring, data analysis and presentation
-
Proactiveness and sense of responsibility
-
High proficiency in spoken and written English
It will be a bonus if you have
-
Skills of repairing electronics at the component level (SMD)
-
Knowledge of network equipment and troubleshooting
-
Driving license type B
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The team
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment.
The role
As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.
Your role involves leading a team that works directly with cutting-edge technologies. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.
Your responsibilities will include:
- Manage IT support team to achieve KPI in IT infrastructure support and project planning.
- Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
- Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
- Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
- Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
- Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
- Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).
We expect you to have:
- 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
- A solid understanding of data center operations, as well as server and network equipment principles.
- Practical experience in project planning and management.
- Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
- Basic proficiency in the Linux operating system and familiarity with command-line tools.
- Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
- Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
- A proactive, responsible and goal-oriented approach to work.
It will be an added bonus if you have:
- ITIL and/or PMI certification.
- Driving License (Category B)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Field Deploy Engineer
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
You’re welcome to work in our data center in Paris or Béthune.
Your responsibilities will include:
Planning & Coordination
-
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
-
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
-
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
- Supervise racking, cabling, and powering of hardware equipment.
- Ensure configuration, firmware upgrades, and integration with management systems follow standards.
- Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
- Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
- Document installation steps, asset data, and lessons learned for future rollouts.
- Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
- Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
- Support transition of deployed hardware to operations teams for steady-state management.
- Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
-
3+ years' experience in data center, hardware, or IT field delivery roles.
-
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
-
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
-
Proven track record coordinating deployments across multiple stakeholders and vendors.
-
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
-
Ability to perform deep diagnostics across hardware, firmware (BIOS/BMC), and Linux (logs, drivers, storage stack basics, performance triage).
-
Excellent organizational, communication, and problem-solving skills.
-
Willingness to travel frequently (sometimes at short notice).
It will be an added bonus if you have:
-
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
-
Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
-
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
-
Exposure to OCP-based platforms and ODM manufacturing ecosystems.
-
Familiarity with change management, asset tracking, and quality-assurance processes.
-
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Field Network Engineer at Nebius, you will be responsible for providing IT support, deploying data center IT infrastructure and managing projects & IT operations.
Your responsibilities will include:
-
Assist in the preparation and deployment of new infrastructure for upcoming launches.
-
Troubleshoot and resolve hardware and network-related issues within our data center.
-
Manage and coordinate remote IT operations by collaborating with smart hands.
-
Be prepared to travel for on-site installations and technical support.
-
Work closely with cross-functional teams and external contractors to ensure seamless project execution.
-
Develop and maintain comprehensive technical documentation detailing service operations and best practices.
We expect you to have:
-
3+ years of hands-on experience in project planning and technical problem-solving.
-
Strong understanding of network technologies, including data center, server and network equipment.
-
Proficiency in IT hardware components, diagnostics and troubleshooting.
-
Proactive, responsible, and goal-oriented mindset.
-
Excellent written and verbal communication skills in English.
-
Willingness to travel regularly for business trips.
-
Relevant certifications (e.g., CCNA, CCNP)
-
Valid Driving License
It will be an added bonus of you have:
-
ITIL or/and PMI Certification
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Field Technical Lead – Data Center Deployments
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is building next-generation AI infrastructure at scale. We are looking for a Field Technical Lead to drive on-site execution of new data center deployments, leading technical teams and contractors while ensuring high-quality, on-time delivery. This position requires frequent travel to data centers during key deployment phases. The person in this role can be located anywhere in the EU or UK but must be available for regular travel to data center deployments around EU/UK.
Your responsibilities will include:
- Technically lead on-site deployment of GPU-based compute clusters, storage systems, and high-speed networking in data centers.
- Support Project Managers in planning, coordinating, and tracking project delivery activities.
- Organize and supervise contractors, vendors, and internal technical teams to ensure smooth execution of deployment workstreams.
- Proactively identify, troubleshoot, and resolve technical and operational issues during deployments.
- Maintain clear and accurate project documentation, including deployment plans, risk logs, issue trackers, and acceptance reports.
- Ensure transparent communication with all stakeholders by providing regular status updates, escalating blockers, and managing expectations.
- Collaborate closely with cross-functional teams including engineering, networking, operations, and supply chain.
- Participate in related project activities such as automation initiatives, process improvements, and post-deployment support when required.
We expect you to have:
- Proactive, ownership-driven leader with the ability to anticipate issues, drive decisions on-site, and lead teams through complex deployments.
- Proven hands-on experience with data center infrastructure deployments, ideally in high-performance computing or AI-focused environments.
- Strong understanding of data center operations including racking, structured cabling, power planning, and cooling considerations.
- Technical knowledge of GPU servers, compute nodes, storage platforms, and high-speed networking technologies.
- Experience working within project delivery frameworks, collaborating closely with Project Managers, and managing subcontractors or vendors.
- Excellent problem-solving skills with the ability to troubleshoot and resolve issues in on-site, time-critical environments.
- Strong communication skills in English, both written and verbal.
- Ability to document processes, maintain tracking systems, and produce clear, structured deployment and status reports.
It will be an added bonus if you have:
- Understanding of construction projects structure and key risk factors in facility build-outs.
- Knowledge of HPC
- Experience in business processes design or automation tools development.
- PMP, PRINCE2, or similar industry certifications.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Industry Partnership Lead, SMBs
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is building the next generation Full-stack AI cloud platform to power model training, post-training, and large-scale inference for AI-native companies and enterprises. As we expand our presence across the global AI startup ecosystem, we are looking for an Industry Partnerships Lead to build strategic relationships with leading technology companies, enterprises, and industry platforms.
This role focuses on developing partnerships that accelerate adoption of Nebius infrastructure by collaborating with leading AI-native companies, digital-native companies, and enterprises that share the same startup ICP, while creating long-term ecosystem value through joint go-to-market initiatives and industry collaboration.
You will work closely with the venture partnerships, community, sales, marketing, channel and BDRs to identify high-impact opportunities and build scalable partnership programs.
You’re welcome to work hybrid from London or remote from Paris.
Your responsibilities will include:
Develop strategic industry partnerships
- Identify and build relationships with leading AI-native startups, digital-natives, enterprises, and ecosystem partners across priority industries with the shared startup ICP.
- Establish Nebius as a strategic infrastructure partner within emerging AI ecosystems.
Drive joint go-to-market initiatives
- Create and execute partnership initiatives such as joint programs, campaigns, ecosystem collaborations, and industry events.
- Work with internal sales and marketing teams to translate partnerships into qualified opportunities and pipeline.
Build industry-focused ecosystem programs
- Design programs that connect industry leaders with founders, startups, researchers building on Nebius.
- Support vertical initiatives across key sectors such as Robotics & physical AI, HCLS, Media & Entertainment, Retail, Gaming and more.
Enable cross-functional collaboration
- Partner closely with sales, marketing, channels, BDR and CSA teams to ensure alignment on partnership opportunities and customer needs.
- Establish clear frameworks and playbook for partner engagement and internal collaboration.
Operationalize partnership workflows
- Track partner engagement, pipeline contribution, and program outcomes through CRM systems and internal processes.
- Continuously refine partnership strategy based on ecosystem insights and market developments.
Pipeline Generation
- Build systematic programs and engagement models with industry partners to accelerate startup customer adoption and conversion.
- Identify and activate shared ICP opportunities between Nebius and industry partners to generate qualified startup pipeline.
- Design joint initiatives (e.g., partner-led programs, co-hosted events, ecosystem initiatives, or sector-focused programs) that drive founder and researcher engagement.
We expect you to have:
- 7+ years of experience in strategic partnerships, business development, ecosystem strategy, or GTM roles
- Experience working with AI infrastructure, cloud platforms, or tech ecosystems
- Strong understanding of startup and venture ecosystems
- Proven ability to build strategic partnerships that drive adoption, pipeline, or revenue
- Experience working in high-growth startups, scale-ups, or technology companies
- Ability to collaborate across sales, marketing, product, and engineering teams
- Familiarity with CRM tools such as Salesforce or HubSpot
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Key Customers Solutions Architect EMEA
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.
This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.
You’re welcome to work in our data center in Paris or Béthune, France.
Your responsibilities will include:
Deep Technical Investigation (Primary Focus)
-
Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).
-
Detect recurring patterns across sites and convert findings into durable fixes.
-
Own technical workstreams during high-severity incidents.
Vendor & R&D Collaboration
-
Build evidence packs and drive escalations with ODM and R&D.
-
Push for firmware, component, and platform-level resolutions.
-
Track outcomes and ensure knowledge flows back to operations.
Firmware & Platform Readiness (BIOS/BMC)
-
Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).
-
Help operationalize platform standards across datacenters.
Knowledge & Enablement
-
Create scalable runbooks, troubleshooting guides, and error catalogs.
-
Turn investigations into playbooks that elevate L1/L2 teams.
Hands-on Support (As Needed)
-
Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.
We expect you to have:
-
Strong hands-on experience with datacenter servers and deep Linux troubleshooting.
-
Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).
-
Structured incident response experience and clear communication under pressure.
-
Experience driving evidence-based escalations with vendors/R&D.
-
Fluent English (written and spoken).
It will be an added bonus if you have:
-
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).
-
Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.
-
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
-
Exposure to OCP-based platforms and ODM manufacturing ecosystems.
-
Experience supporting enterprise bare metal customers under contractual SLAs.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Lead Cloud Solutions Architect
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The team
Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
- Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
- Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
- Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
- Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius cloud infrastructure.
- Build visibility and ownership culture amongst Solutions Architects.
We expect you to have:
- 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
- 2+ years of experience leading or mentoring customer facing engineering teams.
- Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
- Strong communication and stakeholder management skills across both technical and non-technical audiences.
- Passion for developing scalable, reliable cloud architectures and driving customer success.
It will be an added bonus if you have:
- Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
- Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
- Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
- Experience participating in or leading technical contributions to conferences or open-source communities.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
New AI and ISV Partner Business Development Manager
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
This is not a traditional partner management role. We are not looking for account managers or program operators. We are looking for a builder — someone who can identify, recruit, and activate high-impact partners that drive real business outcomes.
You will define and scale Nebius’ ISV and AI partner ecosystem from the ground up, creating partnerships that generate net-new pipeline, open new accounts, and scale through repeatable co-sell motions.
What You’ll Do
- Own and build Nebius’ ISV partner ecosystem from the ground up with your key target accounts — defining strategy, segmentation, onboarding models, and long-term growth frameworks
- Identify, recruit, and close high-impact AI and ISV partners that can drive net-new customer acquisition and revenue growth
- Develop and scale repeatable co-sell motions, embedding partners into Nebius’ core sales plays and strategic opportunities
- Drive partner-sourced and partner-influenced pipeline, with a strong focus on net-new accounts and expansion
- Build structured frameworks for joint business planning, pipeline generation, forecasting, and performance management
- Lead joint go-to-market execution, ensuring partners are actively generating demand and influencing deals
- Drive partner technical readiness and platform adoption through onboarding, enablement, and joint solution development
- Act as a key architect of Nebius’ partner program, including co-sell models, incentives, and engagement frameworks
- Stay deeply connected to the AI ecosystem, identifying emerging players, trends, and high-leverage partnership opportunities
- Represent Nebius across industry events, ecosystem forums, and strategic partner engagements
- Serve as the voice of partners internally, working cross-functionally with Sales, Product, Engineering, Marketing, Legal, and GTM teams
What We’re Looking For
- 10+ years of experience in partnerships, business development, or indirect sales within B2B technology
- Strong understanding of the AI/ML and cloud ecosystem (infrastructure, models, data pipelines, ISVs, tooling
- Proven track record of building partner ecosystems from early stages — not just managing existing relationships
- Demonstrated ability to source, negotiate, and close strategic partnerships that drive measurable business impact
- Proven success in driving net-new pipeline, opening new accounts, and scaling revenue through repeatable co-sell programs
- Experience leading co-sell and joint go-to-market motions with sales organizations
- Solid grasp of cloud platforms and consumption-based business models
- Technical fluency — able to engage in architecture discussions, use-case validation, and product alignment
- Builder mindset — comfortable operating in ambiguity and creating structure from scratch
- Strong executive presence with experience navigating complex, multi-stakeholder environments
- Excellent communication, negotiation, and prioritization skills
Nice to Have
- Experience working closely with Product and Engineering teams to influence partner integrations and roadmap
- Background in AI-intensive industries such as Financial Services, Healthcare, Robotics, Retail, or Automotive
What Makes This Role Different
- You are building the ecosystem — not inheriting one
- Direct ownership of partner-driven revenue and growth
- High autonomy and visibility across the business
- Opportunity to shape how modern AI partnerships are defined and executed at Nebius
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Partner Solutions Architect
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.
Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.
This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
- Design and architect high-impact integration solutions, delivering clear joint customer value
- Build and maintain reference implementations and production-grade integrations
- Define enterprise-ready integration patterns (networking, security, compliance, observability)
- Translate partner and customer feedback into actionable product and roadmap requirements
- Enable partner teams through technical documentation, training, and demo environments
- Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting
We expect you to have:
- 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
- Strong expertise in cloud infrastructure
- Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
- Proven background in integration architecture (API design, data pipelines, security, observability)
- Experience with Python and IaC tools
- Excellent communication skills with the ability to engage technical and non-technical stakeholders
It will be an added bonus if you have:
- Track record of building or scaling partner technical programs or ecosystems
- Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
- Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Principal Solutions Architect
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
- Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
- Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
- Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
- Translate customer requirements into scalable, production-ready architectures and best practices
- Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
- Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
- Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
- Contribute to building repeatable technical playbooks and assets for the European market
We expect you to have:
- 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
- Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
- Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
- Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
- Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
- Experience with cloud platforms, Kubernetes, and distributed systems
- Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
- Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
- Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
- Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
- A highly customer-centric mindset, with the ability to balance technical depth and business value
It will be an added bonus if you have:
- Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
- Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
- Familiarity with HPC environments and schedulers (e.g., Slurm)
- Experience contributing to regional go-to-market or developer/community initiatives
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The team
Our Sales team offers a fantastic opportunity to join a collaborative and supportive environment, where teamwork is just as valued as individual goals. You’ll have the chance to work with cutting-edge technology, while benefiting from a competitive commission structure. Working side-by-side with seasoned technology sales professionals, you’ll gain valuable experience in a dynamic environment, and receive excellent opportunities for career growth and business development.
The role
Nebius is seeking a high-impact Regional Sales Director to lead and scale our business across France and Southern Europe. This is a first-line leadership role with full accountability for regional revenue performance, pipeline health, and forecast accuracy.
You will lead a team of quota-carrying Account Executives and operate as the regional business owner — driving disciplined execution while shaping the go-to-market strategy in one of our most strategic growth markets.
This is a hands-on leadership role suited to a sales leader who thrives in technically complex, high-growth environments. You will balance frontline deal leadership with strategic planning, cross-functional alignment, and talent development, while building Nebius’ presence and brand across the region.
You are welcome to work remotely from Paris.
What You’ll Own
Revenue & Execution
- Lead, coach, and develop a team of up to 8 Account Executives
- Own regional revenue targets, pipeline generation, and forecast accuracy
- Drive consistent execution of Nebius’ sales methodology across startup and enterprise segments
- Act as executive escalation point for complex, strategic, or multi-stakeholder deals
Regional Strategy & Market Development
- Define and execute the regional go-to-market strategy aligned with European and global objectives
- Identify priority verticals, strategic accounts, and ecosystem partnerships within the AI landscape
- Partner with Marketing to drive regional demand generation and field initiatives
- Provide structured market feedback on customer needs, competitive dynamics, and product opportunities
Cross-Functional Leadership
- Partner closely with Solutions Engineering to deliver technically credible, high-impact engagements
- Collaborate with Customer Success to ensure strong handoffs, retention, and expansion
- Work with Revenue Operations on territory design, pipeline inspection, forecasting discipline, and performance management
Talent & Culture
- Recruit, onboard, and ramp top-performing sales talent as the region scales
- Conduct regular 1:1s, pipeline reviews, deal coaching, and performance development
- Build a culture of accountability, execution excellence, and continuous learning
What You Bring
Required Experience
- 10+ years in B2B technology sales, including 5+ years leading quota-carrying sales teams in high-growth environments
- Proven track record of consistently meeting or exceeding revenue targets
- Experience selling complex, technical solutions (cloud infrastructure, AI/ML platforms, data platforms, developer tools, or similar)
- Strong forecasting discipline and operational rigor
- Ability to engage credibly with both technical buyers and senior executive stakeholders
Preferred Experience
- Background in AI, ML platforms, cloud infrastructure, or high-performance computing
- Experience selling to AI-native startups, scale-ups, or enterprise innovation teams
- Experience scaling a region or building a team in early or growth-stage GTM environments
- Experience leading distributed or remote-first teams
- Fluency in French and English
Leadership Profile
- Data-Driven & Analytical – Uses pipeline metrics, conversion data, and forecast trends to drive performance and decision-making.
- Ownership-Oriented – Takes full accountability for regional outcomes and proactively removes obstacles to success.
- Collaborative & Culturally Agile – Partners effectively across functions and geographies in a distributed organization.
- Strong Deal Leader – Skilled in managing complex, multi-stakeholder sales cycles and supporting teams through structured deal progression.
- Customer-Centric – Deeply understands customer objectives and coaches teams to deliver long-term, AI-native value.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Chief Technology Officer
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
The Role
As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.
Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.
Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.
Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)
What A Successful Candidate Looks Like
You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life.
You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.
What You’ll Do
- Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
- Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
- Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
- Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
- Lead highly productive cross-functional teams that ship a high-quality product on a daily basis.
- Foster an inclusive culture where everyone can do their best work.
- Create strong lines of communication within your team and partnerships with other key parts of the business.
About You
Traits we value:
- Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency.
- Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
- Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership.
- Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
- Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
- Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon.
- Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.
Experience we value:
- You have managed a team of 70+ people.
- You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
- You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience.
- You have a deep understanding of software development processes and are product-centric in the way you think about building technology.
- You have experienced the value of cross-functional teams where engineering, product and design work side-by-side.
- You have managed remote teams.
- You have managed global teams.
What We Offer
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
Director of Platform Engineering
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.
As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.
Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.
This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
What You'll Do
- Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
- Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
- Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
- Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
- Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
- Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
- Set metrics and accountability for platform performance, reliability, and developer productivity
Skills & Experience
- 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
- Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
- Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
- A track record of building reliable, scalable systems used by fast-moving product teams
- Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
- Strong communication skills and the ability to influence across org boundaries
- Experience in data- or ML-heavy products
Nice To Have
- Experience with geospatial data, image processing or mapping technology
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
- Competitive, location-specific compensation and benefits.
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
Senior ML Engineer - Kimchi (LLM Inference Optimization)
Share this job
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Senior Solutions Architect - Lakewatch
Share this job
Requisition ID: FEQ427R217
Sr. Solutions Architect (Lakewatch - EMEA)
The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
- 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
- Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
- Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
- Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
- As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
- Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
- Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
- Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Machine Learning Engineer - Pricing (f/m/d) - Alternance
Share this job
REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE
Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.
L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.
Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.
MACHINE LEARNING ENGINEER - ALTERNANCE
Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.
Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.
Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.
TES MISSIONS
Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.
Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.
- Tu contribueras aux projets existants comme tous les membres de l’équipe.
- Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
- Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
- Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
- Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.
Tu auras l’opportunité de :
- Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
- Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
- Expliquer l’utilisation de la data et sa valeur ajoutée.
TON ENVIRONNEMENT TECHNIQUE
- Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
- Cloud & Infra : AWS, GCP, Databricks
- MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
- DevOps & Tools : GitHub Actions, Git, Docker, API
- Méthodologie : Agile
CE DONT TU AS BESOIN POUR RÉUSSIR
- Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
- Une appétence forte pour le travail en équipe et une culture du partage.
- Un intérêt pour l’impact du sport sur le développement personnel et collectif.
- L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.
POURQUOI NOUS REJOINDRE ?
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :
- Primes mensuelles, intéressement, actionnariat
- Avantages CSE
- 25% de réduction sur nos produits
- Prise en charge de ta CVEC
- Remboursement de 50% du titre de transport & aide à la mobilité urbaine
🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !
FAQ – TOUTES TES QUESTIONS
Comment préparer ma candidature et comment se déroule le processus de recrutement ?
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
Être étudiant chez Decathlon, c’est quoi ?
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Ready to apply?
Apply to Decathlon Digital FR
Alternance - Software Engineer Fullstack - C#, .NET, SQL Server, React.js - H/F
Share this job
Alternance - Software Engineer Fullstack C#, .NET, SQL Server, React.js
(Montpellier- France)
Créée en 2000, Ivalua est un leader mondial dans l’édition de solutions cloud de gestion des achats.
NOTRE ENTREPRISE
Chez Ivalua, nous sommes une communauté mondiale d'experts convaincus que la transformation numérique rend les chaînes d'approvisionnement plus durables et résilientes, tout en améliorant la collaboration avec les fournisseurs.
Et nous y parvenons grâce à notre plateforme cloud de gestion des dépenses, qui permet à des centaines de grandes marques de gérer leurs dépenses et leurs fournisseurs tout en optimisant leur rentabilité, leur performance ESG (Environnement, Sociale et Gouvernance), de réduire les risques et d’améliorer leur productivité.
Animés par nos passions et nourris par nos ambitions communes, nous nous donnons les moyens de relever les défis et de créer des expériences impactantes pour nos clients et notre écosystème partenaire, tout en donnant du sens à nos équipes.
Découvrez en plus sur www.ivalua.com. Suivez-nous sur LinkedIn
CE QUE NOUS VOUS PROPOSONS
CONTEXTE:
Notre département R&D est chargé de conduire l'innovation de notre Plateforme SaaS. Il est composé de plusieurs équipes agiles (Scrum/Kanban) en charge de développer différents modules et solutions de notre plateforme. Nous sommes à un moment charnière puisque nous modernisons notre architecture (React/Typescript) et nous intégrons des capacités d'Agentic AI dans notre plateforme.
RÔLE: Dans ce contexte nous sommes a la recherche d’un(e) Alternant(e) Software Engineer Fullstack C#, .NET, SQL Server, React.js. Vous rejoindrez l’équipe Catalog organisée en scrum et participez à la conception et au développement de notre solution Web, basée sur C#, .NET, SQL Server, React.js.
Date de démarrage souhaitée: Septembre 2026
Niveau d'études: Bachelor/M1 - 1ère ou 2ème de année cycle ingénieur
Rythme d’alternance: Semaines entières
CE QUE VOUS FEREZ CHEZ NOUS
- Travailler sur les nouvelles fonctionnalités, les évolutions et la maintenance relatives à un module dédié de notre solution,
- Participer à l'intégration de workflows Agentic, en utilisant les dernières technologies Gen AI (LLM, RAG, Machine Learning).
- Participer á la conception technique et au développement afin de faire évoluer les modules de notre solution Ivalua, en utilisant notamment des outils comme Claude Code pour générer votre code,
- Travailler étroitement avec l’équipe de “Customer Support” dans le cadre des montées de versions et de les configurations du module,
- Dans le cadre de la méthodologie Agile, vous êtes un membre proactif de l'équipe,
- Corriger des bugs sur les innovations,
VOTRE PROFIL
Si vous avez l'expérience et les compétences ci-dessous, ce rôle pourrait être pour vous.
Compétences et expériences :
- Vous préparez un diplôme Bac + 5 en Ingénierie Logicielle, Développement applicatifs ou autre spécialité dans le développement informatique
- Vous avez une première expérience en stage ou projet d’études dans le développement d'applications de gestion d’entreprise, et excellente maîtrise d'un langage orienté objet (C# est un gros plus).
- Vous avez déjà réalisé des développements web et maîtrisez des frameworks front comme React, Angular ou Vue et Javascript,
- Vous avez d’excellentes connaissances sur les technologies Gen AI (LLM, RAG, Token, window context) et vous savez les utiliser dans vos développements (Copilot, Claude Code).
- Idéalement vous avez de solides connaissances en C # ASP.NET CORE, SQL Server,
- Vous avez une sensibilité UX utilisateur et une bonne compréhension du fonctionnel
Qualités Recherchées:
- Votre capacité à assimiler des problématiques fonctionnelles et techniques complexes
- Vous êtes persévérant et proactif. Votre curiosité naturelle sera un atout majeur pour réussir chez Ivalua
- Vous communiquez facilement avec l'ensemble des équipes Ivalua et vous vous adaptez au contexte multiculturel de l'entreprise,
- Vous êtes à l'aise en anglais à l'écrit et à l'oral.
CE QUI VOUS ATTEND ENSUITE
Si votre candidature correspond aux compétences souhaitées pour ce rôle, notre équipe de recrutement vous contactera pour planifier un premier échange téléphonique. Faites un pas de plus vers la réalisation de vos objectifs - postulez dès aujourd'hui !
Un recruteur dédié vous guidera à chaque étape du processus de recrutement. Nous sommes là pour vous accompagner!
Notre processus de recrutement est conçu pour évaluer vos compétences à travers une série d'entretiens personnalisés avec nos équipes. Les entretiens se dérouleront virtuellement et en personne dans nos locaux.
CE QUE VOUS TROUVEREZ CHEZ IVALUA
- Un modèle “Hybride” (3 jours sur site, 2 jours en télétravail),
- Nous sommes une équipe animée par l’envie de repousser les limites de l'innovation produit et technologique,
- Société privée en constante croissance,
- Une entreprise stable et rentable,
- Chaque semaine, la possibilité de se retrouver tous ensemble autour d’un repas proposé par l’entreprise,
- S’épanouir en poursuivant ses objectifs à travers un puissant état d’esprit d’équipe, propice à la créativité et productivité,
- Révéler votre potentiel professionnel grâce à notre programme de formation et de développement de carrière,
- Rallier une équipe dynamique et internationale composée d’experts dans leurs domaines, et collaborer avec des personnes passionnées par leur travail et guidées par une même vision,
- Faites l'expérience d'un environnement de travail inclusif ouvert á la diversité, où votre contribution sera appréciée et valorisée,
- Prenez part aux nombreux événements organisés dans le cadre de l’entreprise ( compétitions sportives, événements musicaux et team building),
- Plébiscitée par ses collaborateurs, Ivalua a été nommée par la société Comparably (https://www.comparably.com/companies/ivalua) :
Portés par nos différences - Votre énergie est notre force !
Unis par nos valeurs, nous célébrons la diversité et l’équité dans toute leur étendue pour construire un environnement de travail inclusif. Pour aider nos clients à rendre leurs chaînes d’approvisionnement plus efficaces, durables et résilientes, nous comptons sur nos équipes internationales aux parcours, compétences et perspectives divers et variés. Nous croyons en l’égalité des opportunités et en la diversité comme moteurs d’innovation, favorisant un esprit d’inclusivité, un environnement de travail productif et agréable, et en offrant des perspectives de carrière épanouissantes pour tous les Ivaluans.
Explorez la culture Ivalua - visionnez cette vidéo pour en savoir plus !
#LI-TR1
#LI-HYBRID
Ready to apply?
Apply to Ivalua
Senior Staff Research Scientist - Clinical AI Lab (x/f/m)
Share this job
What You Will Do
At Doctolib, we're revolutionizing healthcare delivery through advanced AI systems focused on medical reasoning. As a Senior Staff Research Scientist, you'll develop cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You'll work at the intersection of machine learning and healthcare, creating models that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care.
Your responsibilities include (but are not limited to):
- Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale.
- Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI.
- Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences.
- Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance.
- Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices.
Who You Are
- Technical Expertise:
- PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field; Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus;
- Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI.
- Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX).
- Familiarity with modern data tools and scalable training on large datasets.
- Innovator & Problem Solver:
- Track record of independently driving research and translating it into real-world applications.
- Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly.
- Curiosity and drive to learn, research, and apply new machine learning techniques.
- Collaborative & Communicative:
- Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences.
- Passionate about sharing knowledge and contributing to a culture of learning and innovation.
- Mission-Driven:
- Motivated by Doctolib’s mission to make healthcare better for all. Eager to solve meaningful problems with technology.
- Detail-oriented, rigorous, and committed to delivering high-quality, production-ready solutions.
What we offer
-
Free comprehensive health insurance for you and your children
-
25 days of paid vacation per year, plus up to 14 days of RTT
-
Free mental health and coaching services through our partner Moka.care
-
Work from abroad for up to 10 days per year thanks to our flexibility days policy
-
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
-
A subsidy from the work council to refund part of the membership to a sport club or a creative class
-
50% reimbursement of your public transport subscription
-
Parent Care Program: receive one additional month of leave on top of the legal parental leave
-
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
-
Relocation support in case of international mobility
-
Access to the best AI tools for coding, development and dedicated training
The interview process
- HR Screen
- Call with Research Team Member 30 mins
- Scientific Presentation + Case Study 1 hour 30mins
- Behavioral Interview 1 hour 15mins
- At least one Reference check
Job details
- Permanent position
- Full Time
- Location: Doctolib Paris office in Levallois Perret
- Work mode: Hybrid (3 days/week in the office)
- Start date: ASAP
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Ready to apply?
Apply to Doctolib
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du poste
Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.
Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.
En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.
Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et
de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.
En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un
marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.
Responsabilités :
- Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
- Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
- Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
- Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
- Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
- Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
- Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
- Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
- Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
- Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales
Profil recherché :
- Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
- Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
- Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
- Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
- Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
- Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
- Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
- Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
- Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
- Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
- (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien
About the role
Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.
Responsibilities:
- Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
- Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
- Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
- Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
- Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
- Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
- Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
- Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
- Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
- Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures
You may be a good fit if you have:
- 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
- Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
- Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
- Experience explaining and demonstrating technical products to various audiences
- Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
- Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
- Strong project management skills and ability to manage multiple customer relationships
- Passion for AI and interest in responsible development of advanced systems
- Experience working in and building a growing region, while navigating across time zones with US-based headquarters
- A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
- Fluency in French, bonus if you also have Spanish or Italian as another language
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Stage Data Consultant - Paris
Share this job
Qui sommes-nous ?
Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.
Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.
Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 2000 experts répartis dans 36 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…
En tant que Stagiaire Data Consultant, tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure :
- Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases…
- Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts
- Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…)
- Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes.
- Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes.
Processus de recrutement
Étape 1 : HR call avec notre chargée de recrutement. Le but de cet entretien est de faire votre connaissance, de nous parler de vos expériences professionnelles, vos envies et d'en savoir plus sur votre intérêt pour le conseil et Artefact (30 minutes)
Étape 2 : entretien de type business case avec un premier tour avec un senior puis un manager Data Consultant. Le but de cet entretien est de tester vos méthodes et capacités déductives, votre capacité à résoudre un problème et de confirmer votre intérêt pour Artefact (1 heure)
Profil recherché
- Formation : tu es étudiant(e) en dernière année de cycle ingénieur ou au sein d'une grand école de commerce avec une spécialisation en Data, Conseil, ou Management de l'Innovation et tu recherches ton stage de fin d'études à partir de Juillet 2026
- Compétences :
- Fort intérêt pour la Data Science et les technologies de la donnée. Tu n'es pas nécessairement un(e) expert(e) technique, mais tu comprends les concepts clés du machine learning, de la Business Intelligence, et du Big Data.
- Excellentes compétences analytiques et de synthèse.
- Maîtrise avancée de la suite Microsoft Office (en particulier PowerPoint et Excel).
- Une connaissance de SQL ou d'un outil de visualisation de données (Power BI, Tableau) est un plus.
- Qualités personnelles :
- Sens de la communication et du relationnel : Tu es capable de t'exprimer clairement et de t'adapter à différents interlocuteurs.
- Proactivité et autonomie : Tu es force de proposition et prends des initiatives.
- Rigueur et organisation : Tu es capable de gérer plusieurs tâches et de respecter les délais.
- Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux
Ce que nous offrons
- Un stage de 6 mois basé à Paris.
- Un environnement de travail stimulant au sein d'une équipe dynamique et experte.
- L'opportunité de travailler sur des projets concrets avec des entreprises de premier plan.
- La possibilité d'être embauché(e) en CDI à la fin du stage.
Si tu es passionné(e) par la data et que tu souhaites développer une double compétence en conseil et en technologie, envoie-nous ta candidature !
Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.
Ready to apply?
Apply to Welcome to the JungleStage Data Consultant - Paris
Share this job
Qui sommes-nous ?
Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.
Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.
Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 2000 experts répartis dans 36 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…
En tant que Stagiaire Data Consultant, tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure :
- Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases…
- Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts
- Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…)
- Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes.
- Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes.
Processus de recrutement
Étape 1 : HR call avec notre chargée de recrutement. Le but de cet entretien est de faire votre connaissance, de nous parler de vos expériences professionnelles, vos envies et d'en savoir plus sur votre intérêt pour le conseil et Artefact (30 minutes)
Étape 2 : entretien de type business case avec un premier tour avec un senior puis un manager Data Consultant. Le but de cet entretien est de tester vos méthodes et capacités déductives, votre capacité à résoudre un problème et de confirmer votre intérêt pour Artefact (1 heure)
Profil recherché
- Formation : tu es étudiant(e) en dernière année de cycle ingénieur ou au sein d'une grand école de commerce avec une spécialisation en Data, Conseil, ou Management de l'Innovation et tu recherches ton stage de fin d'études à partir de Juillet 2026
- Compétences :
- Fort intérêt pour la Data Science et les technologies de la donnée. Tu n'es pas nécessairement un(e) expert(e) technique, mais tu comprends les concepts clés du machine learning, de la Business Intelligence, et du Big Data.
- Excellentes compétences analytiques et de synthèse.
- Maîtrise avancée de la suite Microsoft Office (en particulier PowerPoint et Excel).
- Une connaissance de SQL ou d'un outil de visualisation de données (Power BI, Tableau) est un plus.
- Qualités personnelles :
- Sens de la communication et du relationnel : Tu es capable de t'exprimer clairement et de t'adapter à différents interlocuteurs.
- Proactivité et autonomie : Tu es force de proposition et prends des initiatives.
- Rigueur et organisation : Tu es capable de gérer plusieurs tâches et de respecter les délais.
- Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux
Ce que nous offrons
- Un stage de 6 mois basé à Paris.
- Un environnement de travail stimulant au sein d'une équipe dynamique et experte.
- L'opportunité de travailler sur des projets concrets avec des entreprises de premier plan.
- La possibilité d'être embauché(e) en CDI à la fin du stage.
Si tu es passionné(e) par la data et que tu souhaites développer une double compétence en conseil et en technologie, envoie-nous ta candidature !
Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.
Ready to apply?
Apply to LinkedIn Job WrappingStage Data Consultant - Paris
Share this job
Qui sommes-nous ?
Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.
Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.
Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 2000 experts répartis dans 36 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…
En tant que Stagiaire Data Consultant, tu seras pleinement intégré(e) à une équipe de consultants. Ton rôle sera d'assister nos clients dans l'élaboration et la mise en œuvre de leur stratégie data, de la phase d'idéation jusqu'à l'implémentation. Tes missions pourront inclure :
- Cadrage / gestion des projets : interview clients et partenaires, mise en place de workshops, préparation des uses cases…
- Construction de roadmaps, d’analyses data-driven avec l’équipe projet et conception d'infrastructures en collaboration avec nos experts
- Orchestration du bon déroulement du projet, en appliquant le cas échéant les méthodes agiles (sprints planning et reviews, backlog refinement, démos…)
- Veille technologique et sectorielle : rester à l'affût des dernières tendances en matière de data et d'intelligence artificielle pour proposer des solutions innovantes.
- Communication : Préparer des présentations et des supports de communication pour les comités de direction et les équipes clientes.
Processus de recrutement
Étape 1 : HR call avec notre chargée de recrutement. Le but de cet entretien est de faire votre connaissance, de nous parler de vos expériences professionnelles, vos envies et d'en savoir plus sur votre intérêt pour le conseil et Artefact (30 minutes)
Étape 2 : entretien de type business case avec un premier tour avec un senior puis un manager Data Consultant. Le but de cet entretien est de tester vos méthodes et capacités déductives, votre capacité à résoudre un problème et de confirmer votre intérêt pour Artefact (1 heure)
Profil recherché
- Formation : tu es étudiant(e) en dernière année de cycle ingénieur ou au sein d'une grand école de commerce avec une spécialisation en Data, Conseil, ou Management de l'Innovation et tu recherches ton stage de fin d'études à partir de Juillet 2026
- Compétences :
- Fort intérêt pour la Data Science et les technologies de la donnée. Tu n'es pas nécessairement un(e) expert(e) technique, mais tu comprends les concepts clés du machine learning, de la Business Intelligence, et du Big Data.
- Excellentes compétences analytiques et de synthèse.
- Maîtrise avancée de la suite Microsoft Office (en particulier PowerPoint et Excel).
- Une connaissance de SQL ou d'un outil de visualisation de données (Power BI, Tableau) est un plus.
- Qualités personnelles :
- Sens de la communication et du relationnel : Tu es capable de t'exprimer clairement et de t'adapter à différents interlocuteurs.
- Proactivité et autonomie : Tu es force de proposition et prends des initiatives.
- Rigueur et organisation : Tu es capable de gérer plusieurs tâches et de respecter les délais.
- Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux
Ce que nous offrons
- Un stage de 6 mois basé à Paris.
- Un environnement de travail stimulant au sein d'une équipe dynamique et experte.
- L'opportunité de travailler sur des projets concrets avec des entreprises de premier plan.
- La possibilité d'être embauché(e) en CDI à la fin du stage.
Si tu es passionné(e) par la data et que tu souhaites développer une double compétence en conseil et en technologie, envoie-nous ta candidature !
Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.
Ready to apply?
Apply to Artefact
Data scientist - Backend E-commerce (H/F) - - Alternance
Share this job
L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.
PRÉSENTATION DE L'ÉQUIPE
Rejoins une équipe dynamique d'une dizaine d'expert·es data (Data Scientist, ML Engineer, Data Analysts, Analytics Engineer) au cœur de la stratégie technologique de Decathlon. Notre mission est de construire des plateformes scalables pour transformer l'expérience client et sécuriser nos opérations. Nous relevons des défis passionnants tels que la modération automatique d'avis et la lutte contre la fraude, avec un impact direct sur des millions d'utilisateurs·trices à travers le monde. Chez nous, l'innovation se conjugue avec l'esprit d'équipe et le droit à l'erreur pour grandir ensemble.
TA FUTURE CONTRIBUTION
En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data.
Tes missions principales incluront :
- Conception & Développement : Participer à l'industrialisation des pipelines de données et de Machine Learning (training et inférence).
- Mise en production (MLOps) : déployer des modèles via Docker et Kubernetes et assurer l'intégration continue (CI/CD) pour garantir la stabilité de nos services.
- Optimisation : Contribuer à l'amélioration de la qualité du code (testing, refactoring) et à l'optimisation des performances algorithmiques.
- Monitoring : Mettre en place et suivre les indicateurs de performance des modèles en production (Drift detection, MLflow).
CE QUE TU APPORTES
- Tu prépares un diplôme de niveau Master (École d'Ingénieur ou Université) avec une spécialisation en Data Science ou Machine Learning.
- Tu as une première expérience (projet académique ou stage) en manipulation de données et modélisation.
- Tu es reconnu·e pour ta curiosité technique, ton esprit d'analyse et ton envie d'apprendre au sein d'un environnement technologique de pointe.
STACK TECHNIQUE
- Langages : Python (expert), SQL.
- ML/Ops : MLflow, Docker, Kubernetes, CI/CD (exemple : GitHub Actions).
- Data : Spark, Pandas, Scikit-learn, PyTorch/TensorFlow.
CE DONT TU AS BESOIN POUR RÉUSSIR
- Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
- Une appétence forte pour le travail en équipe et une culture du partage.
- Un intérêt pour l’impact du sport sur le développement personnel et collectif.
- L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.
POURQUOI NOUS REJOINDRE ?
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :
- Primes mensuelles, intéressement, actionnariat
- Avantages CSE
- 25% de réduction sur nos produits
- Prise en charge de ta CVEC
- Remboursement de 50% du titre de transport & aide à la mobilité urbaine
🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !
FAQ – TOUTES TES QUESTIONS
Comment préparer ma candidature et comment se déroule le processus de recrutement ?
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
Être étudiant chez Decathlon, c’est quoi ?
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Ready to apply?
Apply to Decathlon Digital FR
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Be Contributing to Moloco:
Moloco's Commerce Media (MCM) organisation powers Retail Media Platforms for retailers globally, enabling them to build and scale advertising businesses powered by machine learning. As customer count and technical complexity grow, we are evolving our support model to deliver faster, deeper, and more scalable technical expertise.
The Technical Solutions Engineer (TSE) is a newly established role at the heart of this evolution. The TSE serves as the Regional Tier 2/3 technical escalation point — taking ownership of complex issues escalated from Frontline Support Specialists (FSS) and driving them to resolution. Beyond firefighting, the TSE plays a foundational role in building the operational infrastructure of our support organisation: designing playbooks, developing automation tools, and establishing the metrics that measure how effectively we serve our customers.
The Opportunity
- Own Tier 2/3 technical escalations from Frontline Support Specialists (FSS), triaging and resolving complex issues across ad serving, data pipelines, and ML infrastructure.
- Perform structured Root Cause Analysis (RCA) on production issues — including campaign delivery failures, budget pacing anomalies, fill rate degradation, and ROAS fluctuations — using service logs and operational metrics.
- Lead incident response for production ads service disruptions: scoping impact, coordinating with internal engineering teams (Ad Serving, Data Platform, ML), and driving toward resolution within SLA.
- Author postmortem documents and track remediation action items to prevent recurrence.
- Build and maintain diagnostic playbooks and runbooks that enable FSS to self-resolve a growing share of issues over time.
- Develop internal tooling and automation scripts for issue detection, diagnosis, and reporting.
- Define and track operational KPIs — including MTTR, escalation rate, and recurrence rate — to continuously measure and improve support efficiency.
- Partner closely with the Customer Engineering team to ensure smooth issue handoffs, shared customer context, and aligned escalation workflows.
- Contribute to internal and external documentation to scale knowledge across the organization.
- Review technical integrations during new platform onboarding and surface potential operational risks early.
How Do I Know if the Role is Right For Me?
- 6+ years of professional experience in technical support, solutions engineering, or software engineering.
- Strong troubleshooting skills and ability to analyze large-scale datasets — able to independently write and interpret complex queries against large-scale data warehouse environments.
- Hands-on experience with API integrations and distributed systems — including REST API debugging, log analysis, and understanding how service components interact at scale.
- Demonstrated experience handling technical escalations — breaking down complex problems methodically and driving them to resolution through a structured approach.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
- Experience in AdTech or retail media domains (DSP, SSP, ad serving, attribution) is a strong plus.
- Familiarity with monitoring and observability tools such as Datadog.
- Experience as a founding member or early contributor in building new teams, systems, or operational processes (zero-to-one experience)
- Familiarity with scripting, AI tools for automation, process enhancement
- Fluent in English. Multilingual communication skills (preferred) for global support environments.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
MinIO is the industry leader in high-performance object storage and the company behind the world’s fastest, most widely deployed object store, powering production infrastructure for more than half of the Fortune 500, including 9 of the 10 largest global automakers and all 10 of the largest U.S. banks. Our enterprise offering, AIStor, is engineered to handle the scale, speed, and pressure of modern AI and analytics workloads—from terabytes to exabytes—all in a single namespace.
We are seeking a technical, creative, and entrepreneurial Enterprise Account Executive to drive MinIO’s next stage of growth in the France region. This is a role for a proven seller who can combine technical depth in storage, data infrastructure, data lake/lakehouse, AI/ML, and HPC environments with the ability to close complex $250K+ enterprise deals. The ideal candidate has experience competing against legacy storage solutions, thrives in a startup environment, and brings a mix of creativity, persistence, and technical credibility to win transformative deals.
What You Will Do
- Drive New Business Acquisition: Actively prospect and identify enterprise opportunities, leveraging your network and creative outreach to generate pipeline and close high-value deals
- Technical & Vision Selling: Confidently articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, and HPC not just incremental improvements. Translate technical capabilities into compelling business value.
- Close Complex Deals: Own the full sales cycle from lead to close, with a focus on $250K+ opportunities and annual quota attainment of $1.5M+
- Compete & Win Against Legacy Software: Position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage for modern workloads.
- Educate & Influence: Teach prospects about AI infrastructure optimization and data architecture modernization, leading them beyond product comparisons to strategic transformation.
- Quantify Value: Build business cases and ROI models that include quantified benefits, risk mitigation, and financial justification.
- Partner-First Territory Strategy: Build and execute partner-led co-selling strategies, working with channel and alliance partners to expand territory coverage and accelerate deals.
- Cross-Functional Collaboration: Partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions, ensure successful POCs, and create a seamless customer experience.
- Forecasting & Planning: Maintain disciplined pipeline management, accurate forecasting, and clear account strategies that support predictable and scalable revenue growth.
Your Skills and Experience
- Enterprise Sales Expertise: 7+ years of enterprise sales experience with consistent quota attainment ($1.5M+) and average deal sizes of $250K+.
- Technical Acumen: Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. Able to engage technical stakeholders and translate technical concepts into business impact.
- Partner-Led Approach: History of building co-selling strategies with channel and alliance partners to scale market presence.
- Vision & Thought Leadership: Skilled at leading transformation sales by shaping buyer thinking and providing unique customer insights.
- Competitive Selling: Proven ability to sell against legacy storage solutions and displace entrenched vendors with a differentiated value proposition.
- Startup Experience: Demonstrated success in fast-paced, entrepreneurial environments where creativity and adaptability are essential.
- Challenger Mindset: Skilled at teaching, tailoring, and challenging customer perspectives to unlock new opportunities.
- Network & Territory Expertise: Deep relationships within the territory, including decision makers and influencers who can be leveraged to accelerate business.
- Communication & Influence: Exceptional presentation, negotiation, and relationship-building skills with both technical and executive stakeholders.
- Education: BA/BS in computer science, engineering, business, or related field; MBA preferred.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Ready to apply?
Apply to MinIOSecure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Enterprise Sales team in France is growing!
Okta EMEA’s enterprise sales organisation are a team of entrepreneurial and driven sales professionals and they are playing a key role in the expansion of Okta as we establish ourselves as a market leader in the French territory, leveraging Okta’s existing customer references, marketing programs, partner base and ISV & alliance relationships.
The Enterprise Account Executive will focus on user base accounts between 5000 and 20000. base accounts and develop strategies and sales tactics to generate pipeline and drive sales opportunities to produce repeatable and predictable bookings, while adhering to Okta’s core value of always focusing on the success of our customers.
As an Okta Enterprise Account Executive you will:
- Build your territory planning based on pipeline reconciliation plan
- Engage with your internal ecosystem
- Build trusted relationship with Okta partners
- Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
- Embrace to Okta’s #1 core value to always love our customers
- Generating new business with the world’s largest organisations
- Position Okta at both the functional and business value level with target stakeholders;
- Champion Okta to prospective clients at sales presentations, site visits and product demonstrations
- Build effective working partnerships with your Okta colleagues (channel partners, sales engineering, business value management, customer first + many more!) with humility and enthusiasm
Passion for technology and how it can help organisations compete and thrive in the Digital Age;
- Excitement about the opportunity to join the French territory arm of an exciting and fast-growing SaaS provider;
- A track record of success selling a Software-as-a-Service and/or Cloud Computing services to the largest and most complex organisations in the French territory
- Experience in value-based selling at senior/C-Level
- A reputation as a trusted business partner for you peers in the local reseller and system integrator community
- Excellent verbal and written communications skills;
- The ability to travel, including customer & partner sites, and visits to our EMEA HQ in London, and the US
- Understanding of and experience with Identity & Access Management, Single Sign-on and API-based solutions is always great but definitely not a must have
- BSc/BA degree or equivalent (preferred but not essential)
#Paris
#IG
#LI_LinkedinP2501
Below is the annual On Target Compensation (OTE) range for candidates located in France. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/fra.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Large Enterprise Sales team in France is growing!
Okta EMEA’s enterprise sales organisation are a team of entrepreneurial and driven sales professionals and they are playing a key role in the expansion of Okta as we establish ourselves as a market leader in the French territory, leveraging Okta’s existing customer references, marketing programs, partner base and ISV & alliance relationships.
The Large Enterprise Account Executive will focus on user base accounts above 20000. base accounts and develop strategies and sales tactics to generate pipeline and drive sales opportunities to produce repeatable and predictable bookings, while adhering to Okta’s core value of always focusing on the success of our customers.
- Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
- Embrace to Okta’s #1 core value to always love our customers
- Generating new business with the world’s largest organisations
- Position Okta at both the functional and business value level with target stakeholders;
- Champion Okta to prospective clients at sales presentations, site visits and product demonstrations
- Build effective working partnerships with your Okta colleagues (channel partners, sales engineering, business value management, customer first + many more!) with humility and enthusiasm
Passion for technology and how it can help organisations compete and thrive in the Digital Age;
- Excitement about the opportunity to join the French territory arm of an exciting and fast-growing SaaS provider;
- A track record of success selling a Software-as-a-Service and/or Cloud Computing services to the largest and most complex organisations in the French territory
- Experience in value-based selling at senior/C-Level
- A reputation as a trusted business partner for you peers in the local reseller and system integrator community
- Excellent verbal and written communications skills;
- The ability to travel, including customer & partner sites, and visits to our EMEA HQ in London, and the US
- Understanding of and experience with Identity & Access Management, Single Sign-on and API-based solutions is always great but definitely not a must have
- BSc/BA degree or equivalent (preferred but not essential)
#LI-IG
#LI-Hybrid
P13754_3396751
Below is the annual On Target Compensation (OTE) range for candidates located in France. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/fra.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Senior Software Engineer (Agent Engineer) - AI Code Gen
Share this job
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.
We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
- Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions
- Prototype and see what works well in the real world, iterate closely with our users, and then ship
- Follow the latest research on LLM prompt optimization, agents, and code editing.
- Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of “one click to reproduce” for production errors.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
- You are passionate about Generative AI and its ability to help software engineers be more productive
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Senior Software Engineer - AI Platform
Share this job
The AI Platform owns Datadog’s entire AI stack—everything from distributed training infrastructure (for our SOTA models) to the frameworks that power Bits AI, LLMObs, and the next wave of generative‑AI experiences. We’re expanding beyond model creation to the tooling that lets engineers ship production‑grade GenAI systems: retrieval‑augmented pipelines, autonomous agents, and evaluation harnesses.
We’re looking for a Senior Engineer to design and build this next‑gen platform, partner with Applied AI, product, and core‑infra teams to deliver:
-
Large‑scale experimentation, training, deployment, and monitoring
-
Developer toolchains for agents and other GenAI applications
-
Low‑latency serving infrastructure that plugs AI features into any Datadog product
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Lead the design, development, and deployment of scalable tools and infrastructure to support the efforts of our data scientists (model training & serving infra, CI/CD, orchestration, deployment,...)
- Create a development ecosystem that enables rapid experimentation and deployment of algorithms
- Stay on the cutting edge of development in the MLOps domain and document best practices to share across teams
- Drive the technical growth of Machine Learning as a distributed capability at Datadog, spanning all product areas, as well as leverage DD’s knowledge in observability to contribute back to the MLOps community
Who You Are:
- You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or a related scientific field or equivalent experience
- You are a software engineer at heart with 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
- You have proven ability to architect, build, and operate distributed systems to solve problems at a high scale
- You have extensive experience executing projects that span data engineering, data science, and machine learning
- You ship fast, route around blockers, and are comfortable working with ambiguity
- You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Senior Software Engineer, AI Platform - Evaluation & Annotation
Share this job
The AI Platform team at Datadog builds the infrastructure that powers the next generation of generative AI features across our products.
As a Senior Software Engineer on the Evaluation and Annotation team, you will design and evolve the systems that define and measure AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows that assess correctness, safety, bias, and reliability across production use cases.
Your work will directly shape how Datadog ships and maintains trustworthy AI capabilities. You will partner closely with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with our observability platform, and build human-in-the-loop feedback mechanisms that continuously improve model behavior.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Design and scale robust evaluation systems to measure the performance and reliability of LLMs and AI agents across Datadog’s product ecosystem
- Lead efforts to build human-in-the-loop and automated annotation pipelines for model assessment, ensuring high-quality training and feedback data
- Define and implement continuous evaluation workflows in CI/CD and production environments to monitor model behavior in real time
- Analyze model outputs for correctness, bias, safety, and reliability and translate insights into actionable improvements
- Collaborate cross-functionally with Applied Scientists, Researchers, product managers, and platform engineers to establish best practices for responsible AI
- Mentor team members and contribute to long-term technical strategy focused on AI quality, trust, and safety
Who You Are:
- You have 6+ years of experience building large-scale distributed systems or machine learning systems in production environments
- You’ve designed infrastructure to support AI/ML model evaluation, annotation, or benchmarking workflows
- You approach engineering with a focus on system design, long-term maintainability, and reliability
- You bring a strong understanding of AI/ML concepts, including evaluation metrics, prompt analysis, and trust & safety challenges
- You thrive in cross-functional teams and communicate effectively with technical and non-technical stakeholders
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
- Bonus: you’ve used open-source tools like evaluation frameworks (e.g., lm-eval-harness), vector databases, or human feedback loops
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog