Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

We are looking for a Principal Specialist Sales Engineer to join our Global Speciality Sales team. This is a remote role based in Paris, France, reporting to the Specialist Solution Director. The Principal Specialist Sales Engineer serves as the primary technical lead and strategic advisor, guiding customers across Southern Europe to secure workloads and traffic across diverse hybrid and multi-cloud environments by leveraging Zscaler’s Zero Trust Architecture to achieve key business outcomes. The role will also collaborate with field teams (SEs, AEs, and Transformation Architects) at the highest levels, driving internal and customer-facing enablement for Zero Trust Cloud use cases to accelerate Zscaler’s regional GTM strategy. Furthermore, The Principal Specialist Sales Engineer will act as a critical link between the field and Product Management, providing real-world insights and customer feedback to influence the Product Roadmap and ensure Zscaler’s innovations continue to solve the most complex Cloud Security challenges.

What you’ll do (Role Expectations)

• Serving as the technical expert for Zero Trust Architecture in Cloud environments, focusing on AWS, Azure, and GCP
• Collaborating with sales and engineering teams to provide technical insights that influence the Product roadmap
• Leading conversations about Zero Trust Security trends, strategies, and deployment with customers at all organizational levels
• Running customer Proof-of-Value engagements in collaboration with Sales Engineers, demonstrating Zscaler’s unique value proposition
• Providing competitive insights and positioning Zscaler solutions as the best alternative

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent certifications/experience
• 5+ years of experience in technical sales, systems engineering, or enterprise security architecture
• Hands-on expertise in security, networking, and applications, with practical experience on at least one of AWS, Azure, or GCP
• Strong presentation and communication skills to engage with diverse audiences, from practitioners to executives
• Fluency in English and French is required while proficiency in Spanish and/or Italian is desirable

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with Zscaler Internet Access (ZIA) and Private Access (ZPA) or similar enterprise-grade SSE/SASE/Cloud Security solutions
• Experience delivering cloud-based solutions within Zero Trust frameworks
• Expertise in modern networking (SD-WAN) and cloud connectivity strategies

#LI-Remote 

#LI-LS2

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

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

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

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

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. 

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.

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.

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) 

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

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.

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Marre de faire uniquement du "Run" sur des infrastructures vieillissantes ? Envie de piloter la sécurité à l'ère du Cloud ? J'accompagne actuellement un de nos clients dans la transformation de sa division technologique.

Le défi ? Garantir la disponibilité absolue des infrastructures pour des millions d'utilisateurs.

• Environnement hybride de pointe (On-Premise / Cloud)
• Forte culture de l'automatisation et de l'IaC
• Zéro compromis sur la performance et la sécurité

Nous recherchons des ingénieurs passionnés par l'architecture et le troubleshooting avancé pour rejoindre la Squad "Network Security & Cloud".

Tes missions :

• Build & Architecture : Concevoir et déployer des architectures réseaux et sécurité On-Prem et Cloud (AWS/Azure).
• Automatisation : Industrialiser les déploiements via Terraform et Ansible pour supprimer les tâches récurrentes.
• Security & Traffic Management : Accompagner les développeurs sur les configurations WAF et optimiser les Load Balancers.
• Exploitation de haut vol : Gérer les incidents critiques et assurer le maintien en conditions opérationnelles (MCO).

L’environnement technique qui t’attend :

• Sécurité : Expertise F5 (LTM/ASM), Palo Alto, Fortinet, Cisco ISE.
• Cloud & DevOps : AWS, Azure, Terraform, Ansible.
• Réseau : Cisco (IOS-XE/XR, NX-OS), BGP, OSPF et VXLAN.
• Observabilité : Prometheus, Grafana, Linux.

Profil recherché

• Expérience : 5 ans minimum sur des environnements de production critiques.
• Hard Skills : Maîtrise impérative du trio WAF / AWS / Terraform.
• Mindset : Forte culture de l'automatisation et solides capacités de troubleshooting.
• Soft Skills : Autonome, rigoureux et capable de dialoguer avec des Architectes comme des Développeurs.
• Formation : Bac +5 (Ingénieur ou équivalent).

Pourquoi rejoindre ce projet ?

• Une stack hybride complexe et ultra-moderne.
• Un secteur passionnant à forte visibilité.
• Une autonomie réelle sur des projets de bout en bout.
• Une équipe à la pointe de l'innovation technologique.

Localisation : Hauts-de-Seine (92) Démarrage : Dès que possible

About the Role: 

As a Cloud Ops Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution

For this position, we are seeking an Observability Hero who will be responsible for the fault tolerance, scalability, and performance of logging pipelines and monitoring

Your Impact: 

• Managing the Wrike product infrastructure
• Implementing reliable solutions to ensure a product uptime SLA of 99.9%
• Working with GCP, AWS and other cloud providers in the IaC paradigm
• Introducing and supporting new infrastructure services
• Actively participating in incident response and management, including on-call duties
• Developing and maintaining professional connections within and outside of the team

Your Qualifications: 

• PostgreSQL as DB platform
• Kafka and rabbitmq for messaging
• Kubernetes and ArgoCD (Service-oriented architecture)
• Nginx, HAproxy and Istio for load balancing
• GCP, AWS and Cloudflare are our main cloud providers
• Puppet, Ansible and Terraform for defining everything as a code
• Python to automate everything
• Prometheus (VictoriaMetrics) and Zabbix for monitoring
• Graylog, Logstash, Fluentd for logging
• Jenkins and Gitlab-CI for building pipelines
• Upper Intermediate English skills

Standout Qualities: 

• A suitable candidate must have extensive hands-on experience supporting and optimizing the Observability stack
• Intermediate knowledge of the following areas: Data networks, Security, Databases, Cloud providers, Process automation, Kubernetes
• Advanced experience with any Cloud Provider management using IAC (AWS/GCP/Azure).
• Advanced Linux administration skills with experience in maintaining highly available infrastructure for web application stack

Team Dynamics: 

• Your manager will be Dmitrii Vlasov, SysOps Team Lead 
• We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn

Our Work Style:

• Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
• Hybrid mode (1-2 days per week)
• On-call shifts in production and development environments

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Why Join Wrike?

• 30 days of paid vacation + seniority leave + Recovery Days (RTT)
• Parental Leave: 16 Weeks Maternity / 4 Weeks Paternity + Daycare Spot
• Health Insurance (Employees + Dependents)
• Life Insurance Plan
• Home Allowance (Hybride 20€/month or Full remote 50€/month)
• Public transportation: Coverage of 75% of subscription fee / Sustainable mobility package 200€/year
• CSE Specific Benefits i.e. vacation vouchers,negotiated fees etc. 

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.


#LI-AV1

Poste à pourvoir au sein de Capfi, pour notre secteur Industrie & Services

Industrie et Service, apporte expertises et services aux entreprises, pour un impact business. En créant des solutions innovantes, durables et adaptées aux besoins. En protégeant les SI et pérennisant les activités. En augmentant la performance grâce aux données.

Ce poste est fait pour vous si :

• Vous avez une première expérience en développement et vous maîtrisez une ou plusieurs technologies de notre Stack technique 

-Frontend : Angular 7-15

-Backend : JAVAEE, Spring Boot, Spring Security, Spring Data, Spring Cloud, Hibernate...

-Cloud : Azure, AWS, Firebase, GCP, …

-CI/CD : Docker , Git, Jenkins, Kubernetes

-Testing : Jasmine, Junit, Mocha, Jest

• Synthétique, vous visualisez les idées et vous comprenez les enjeux de nos clients, afin de construire des solutions adaptées. Vous savez communiquer avec des interlocuteurs non techniques et faire preuve d’un bon relationnel.
• Efficace, organisé et rigoureux, vous êtes attentif à la qualité, au “clean code” et aux bonnes pratiques.
• Vous êtes titulaire d’un diplôme de niveau Bac +5.

Vos missions : 

En tant que développeur Fullstack expérimenté, vous rejoindrez notre pôle technologique et vous accompagnerez nos clients sur différentes missions telles que :

• La Conception d’applications intégrant des technologies pertinentes dans les développements
• Le développement d’applications, Vous codez avec une équipe impliquée et portez la vision technique du produit tout en vous assurant que l’aspect fonctionnel soit bien intégré dans les applications
• La mise en place de bonnes pratiques de développement au sein du pôle (Tests, automatisation , revue de code, …) 
• L’industrialisation des processus à l’aide de pratiques DevOps. (Participer ou mettre en oeuvre du DevOps et des solutions de CI/CD) 

Ce que nous avons à vous offrir

CAPFI est une entreprise vivante qui place le collectif et le partage entre pairs au cœur de sa culture. Nous vous proposons un environnement de travail flexible dans l’organisation et agile dans le choix de vos missions. CAPFI c’est aussi : 

• Vous laisser libre de choisir votre manager ;
• Vous offrir la possibilité de suivre des formations certifiantes ;
• Vous permettre de rejoindre les Tribus et de faire vivre l’énergie collective et l’expertise de CAPFI ;
• Vous permettre de consacrer un peu de votre temps pour aider les autres, via NQT, Emmaüs Connect et Le Congé Solidaire, des initiatives dont CAPFI est partenaire.

Chez CAPFI, nous mettons aussi un point d’honneur à ce que tous nos talents évoluent dans un environnement de travail sain, serein et respectueux des exigences sociétales et environnementales. C’est pourquoi :

• Nous sommes labellisés B Corp ;
• Nous sommes signataires de la charte sur l’équilibre vie professionnelle – vie personnelle .

Et comme la diversité des profils fait la richesse de notre expertise, nous traitons toutes les candidatures de façon égale en nous concentrant uniquement sur les compétences du candidat et non sur son origine, son âge, son identité de genre, son invalidité ou sa religion. 

THE ROLE

As a Strategic Account Executive, GSI France, you will drive Everpure’s engagement across the Global Systems Integrator (GSI) ecosystem in France, one of the most influential hubs for system integrators.

You will manage and develop strategic GSI partnerships in France, including NTT, Kyndryl, DXC, Accenture, Capgemini, and Atos, executing joint account plans in close alignment with Global Account Directors to drive local revenue, pipeline, and partner engagement, while contributing to the growth and expansion of the broader ecosystem, including partners such as TCS, Wipro, Infosys, Cognizant, and HCL

This role requires the ability to drive revenue both by selling directly to GSIs and by executing a sell-through motion in close collaboration with Everpure field sales teams.

You will focus on strong local execution, including:

• Driving pipeline generation and revenue growth with and through GSIs
• Executing joint account plans and co-sell motions with Everpure field teams
• Building and managing relationships across GSIs, sales teams, and alliance stakeholders
• Operating effectively in a complex partner ecosystem with multiple priorities

Your success will be measured by your ability to drive revenue, execute consistently, and build scalable partnerships within the French market.

WHAT YOU’LL DO

Execute GSI Strategy in France

• Manage relationships and execution across priority GSIs
• Contribute to the expansion of partnerships across the broader GSI ecosystem

Execute Joint Go-To-Market Plans

• Support and execute joint go-to-market (JGTM) plans with GSIs, including industry-specific plays and co-sell frameworks
• Drive account alignment and co-sell motions to generate pipeline

Drive Revenue & Pipeline Growth

• Identify white-space opportunities across GSI portfolios
• Support and execute joint pursuits and partner-driven deals
• Deliver against pipeline and bookings targets

Build Executive-Level Relationships

• Develop relationships with alliance leaders and key stakeholders within GSIs
• Position Everpure within transformation and cloud initiatives

Drive Cross-Functional Execution

• Work closely with Sales, Alliances, Product, and Marketing teams
• Ensure consistent execution and alignment across stakeholders
• Contribute to regular business reviews and execution cadence

Support Complex Commercial Frameworks

• Support deal structuring and execution involving:
• Cloud marketplace deals (AWS, Azure, GCP)
• Enterprise agreements (EDP, MACC)

WHAT YOU BRING

Hybrid Sales & Alliance Background

• Experience combining direct enterprise sales and GSI / partner sales
• Ability to operate in both sell-to and sell-through models

Enterprise Sales Experience

• Proven track record of driving revenue in complex enterprise environments
• Experience working with large accounts and multi-stakeholder deals

GSI Ecosystem Experience

• Experience working with GSIs such as NTT, Kyndryl, DXC, Accenture, Capgemini, Atos
• Understanding of GSI operating models and partner engagement

Partner & Ecosystem Mindset

• Experience working with enterprise technology vendors (e.g. Red Hat, Commvault)
• Exposure to hyperscalers (AWS, Azure, GCP)

Execution-Oriented Operator

• Strong time management and prioritization skills
• Ability to manage multiple partners, stakeholders, and sales motions simultaneously

Executive Presence & Collaboration

• Ability to build relationships and influence stakeholders across organizations
• Strong collaboration with internal sales and partner teams

Languages & Location

• Fluent in French and English
• Based in Paris, France
• Willingness to travel (~20%) 

Senior Enterprise Account Executive 

Black Duck helps organizations build secure, high‑quality software by minimizing risk and maximizing development speed. As a pioneer in application security, Black Duck delivers industry‑leading SAST, SCA, and DAST solutions that help teams identify and remediate vulnerabilities across proprietary code, open‑source components, and application behavior. With powerful tools, services, and deep expertise, Black Duck enables organizations to secure the modern software supply chain and strengthen DevSecOps practices. 

Role Summary 

The Senior Enterprise Account Executive (Hunter) is responsible for acquiring new enterprise customers, penetrating greenfield accounts, and driving net‑new revenue for Black Duck’s Application Security platform, with a primary focus on Software Composition Analysis (SCA) and open‑source risk management. 

This role is built for a high‑energy, high‑impact seller who excels at prospecting, competitive displacement, and closing complex enterprise deals. You will engage senior engineering, security, and DevOps leaders to position Black Duck as the strategic solution for modern software supply chain security. 

Core Responsibilities 

New Logo Acquisition & Revenue Growth:

• Own the full new‑business sales cycle—from prospecting and qualification to technical evaluation, negotiation, and close. 
• Build and execute territory plans targeting high‑value enterprise prospects across industries. 
• Identify and develop greenfield opportunities through outbound prospecting, partner collaboration, and market intelligence. 
• Drive competitive takeouts and position Black Duck as the preferred SCA and AppSec platform. 
• Consistently achieve new‑logo ARR targets and pipeline creation goals. 

Executive Engagement & Value Selling:

• Build multi‑threaded relationships with CISOs, CTOs, AppSec leaders, DevOps executives, and procurement stakeholders. 
• Lead executive‑level conversations around open‑source governance, SBOM strategy, and secure SDLC modernization. 
• Deliver compelling business cases that quantify risk reduction, compliance alignment, and developer productivity gains. 

Sales Execution & Deal Leadership:

• Run disciplined, high‑velocity sales cycles with strong qualification, forecasting accuracy, and CRM hygiene. 
• Partner with Sales Engineering to guide prospects through technical validation, PoCs, and integration discussions. 
• Navigate complex procurement processes, legal reviews, and multi‑stakeholder decision cycles. 
• Collaborate with Marketing and SDR teams to accelerate pipeline generation and campaign execution. 

Market Expansion & Thought Leadership:

• Represent Black Duck at industry events, conferences, and customer briefings. 
• Provide market feedback to Product and Marketing to influence roadmap and positioning. 
• Stay current on AppSec trends, regulatory pressures, and emerging software supply chain risks. 

Qualifications 

Required

• 7–10+ years of enterprise new‑business sales experience in cybersecurity, DevSecOps, developer tooling, or related technical domains. 
• Proven track record of hunting and closing large, complex enterprise deals with multi‑million‑dollar ARR impact. 
• Strong understanding of Application Security, SCA, SBOM, and modern software supply chain challenges. 
• Ability to engage both technical and executive audiences with credibility and confidence. 
• Exceptional prospecting, negotiation, and strategic selling skills. 

Preferred 

• Experience selling SCA or AppSec platforms (e.g., Black Duck‑style solutions, Snyk, Veracode, Checkmarx, GitHub Advanced Security). 
• Familiarity with CI/CD ecosystems (GitHub, GitLab, Jenkins, Azure DevOps, Bitbucket). 
• Background selling into Fortune 500 or global enterprise organizations. 

Success Indicators 

• Consistent attainment of new‑logo ARR and pipeline generation targets. 
• Strong competitive win rates and successful displacement of incumbent solutions. 
• Rapid expansion of Black Duck’s footprint within target industries and territories. 
• High‑quality forecasting and disciplined sales execution. 

We help our customers develop quality and secure mobile apps, and leverage and manage AI in the SDLC.Our global enterprise clients lead their industries as innovators in digitisation across financial services, retail, telco, public services, telco, technology, manufacturing, transportation, and energy with our AI-powered DevSecOps platform. 

About the role:

As a Customer Experience Architect, you will serve as a technical account manager, a named resource and partner for Digital.ai customer organizations. You are a trusted advisor, forging deep relationships with your customers and account teams, maintaining an awareness of key events, needs, potential risks, and value drivers. With a continual focus on your customers’ business needs, you will help to improve their overall technical and operational health, helping them to realize the maximum value out of their Digital.ai investment.

What your impact and success look like:

Within 1 month:

• Introductions across Digital.ai organisation enabling the beginning of an internal network that will be fundamental to supporting customers
• Build a solid understanding of our full product suite and the solutions we offer
• Be familiar with our internal processes and at an advanced stage through our internal learning system
• Introductions to customers whilst working alongside current team members

Within 3 months:

• Support and take ownership of a portfolio of assigned customers, providing them with a single point of accountability
• Establish regular cadence calls with key customers covering issues, roadmaps and any other items of interest and concern
• Awareness of key milestones across all of your accounts and alignment with other team members
• Run a user group or webinar, showcasing how end users can get the most from our products
• Understand the team’s quarterly objectives and actively contribute towards them

Within 6 months: 

• Build reputations and relationships as a Trusted Advisor to the customer
• Show strong relationship-building across your customer portfolio, supported by clear account plans for each customer
• Demonstrate real added value through your product knowledge and the outcomes you’ve driven
• Built and nurtured strategic relationships with key customers, while proactively identifying and developing new relationships to expand engagements
• Display the right level of analytical ability to gather data, produce insights and recommend meaningful solutions
• Identified and worked with customers to resolve issues and any blocs for adoption and value realisation
• Provided feedback to Product through roadmap session and customer interactions

What you will bring:

• Technical Proficiency: Core / Must-have
  • Strong experience with DevOps practices and CI/CD ecosystems, including pipeline design, release orchestration, and enterprise delivery processes
  • Hands-on experience with automation and Infrastructure as Code tools (e.g., Ansible, Terraform)
  • Experience working with modern CI/CD toolchains (e.g., Azure DevOps, GitHub, GitLab, Atlassian suite)
  • Ability to troubleshoot and operate within complex customer environments, including integrations across multiple systems and tools
  • Proficiency in at least one programming language (preferably Python) to support integrations, scripting, and environment analysis
  • Strong understanding of enterprise platforms, cloud concepts, and system integrations
• Important but Secondary
  • Familiarity with Agile delivery practices and test automation frameworks (e.g., Selenium, Playwright)
  • Understanding of DevSecOps concepts, including policy-driven governance and security gates in pipelines
• Nice-to-have
  • Awareness of GenAI impact across the SDLC and ability to discuss practical use cases
  • Exposure to AI-assisted development tools (e.g., GitHub Copilot)
  • Basic understanding of LLMs and emerging AI patterns
• Customer Service Orientation: A strong desire to help customers succeed, with a proactive approach to identifying and addressing their needs
• Communication Skills: Excellent verbal and written communication skills to explain complex technical concepts to non-technical users. This also includes active listening to understand customer needs.
• Problem-Solving Abilities: Ability to diagnose and resolve technical issues efficiently. This includes troubleshooting skills and a methodical approach to problem-solving.
• Project Management: Ability to manage multiple customer accounts and projects simultaneously, ensuring timely and effective delivery of solutions.
• Interpersonal Skills: Building and maintaining strong relationships with customers, understanding their business goals, and acting as a trusted advisor.
• Training and Education: Experience in conducting training sessions, webinars, and creating educational materials to help customers maximize the use of the software.
• Analytical Skills: Ability to analyse customer data and usage patterns to identify opportunities for improvement and optimization.
• Adaptability: Flexibility to adapt to changing customer needs and evolving product features.
• Collaboration: Working effectively with cross-functional teams, including sales, product development, and engineering, to ensure customer success.
• Language: Fluency in French and English speaking/reading/writing skills
  
  

What makes Digital.ai a great place to be?

Digital.ai offers benefits such as:

• 25 days PTO and 12 days RTT
• Comprehensive pension plan
• Work from home allowance
• Unlimited access to continuous learning and professional development with TalentLMS 
• Flexible working arrangements
• Opportunity to work with a diverse, globally distributed team

At Digital.ai, we believe in fostering a culture of pay transparency. We are committed to providing our employees with fair and competitive compensation. The current salary for this specific job is estimated to be €95,000 - €105,000 pus commission target. Please note that final compensation will be determined based on factors such as qualifications, experience, and internal equity. We value transparency and aim to create an inclusive and equitable workplace for all our employees. Certain positions at Digital.ai might also be eligible for additional compensation in the form of bonuses, or other employee benefits which are separate from the base salary and to be defined at offer stage.

All are welcome to apply.  We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation.

For individuals with disabilities who would like to request accommodation, please advise us within your job application or cover letter.

FRAUD PREVENTION ALERT: please note that Digital.ai does not use third party recruiters. In our efforts to protect you against impersonation please check the email address or if you are contacted by an unfamiliar/third party requesting please reach out directly to Digital.ai.

We’re looking for a Product Designer 2 to join the Cloud Cost Management (CCM) team at Datadog, focused specifically on commitment programs. In this role, you’ll design user experiences that help customers understand, choose, and manage cloud commitments—unlocking significant cost savings in a highly technical and high-impact product area.

You’ll partner closely with product managers and engineers to shape workflows that span discovery, optimization, and long-term management of commitments. This is a hands-on role with ownership over meaningful features, where you’ll help define information architecture, interaction models, and visual direction as the product evolves from an AWS-only experience to a true multi-cloud offering (AWS, Azure, and GCP).

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

• Lead end-to-end design work for commitment programs, from early discovery and concept exploration through high-fidelity design and production.
• Own key workflows and features, helping evolve the product from an MVP into a differentiated, multi-cloud experience.
• Collaborate closely with cross-functional partners (PMs, engineers, and fellow designers) to define problems, explore tradeoffs, and ship high-quality solutions quickly.
• Help shape information architecture and interaction patterns as the product expands across different cloud providers with varying commitment models.
• Contribute to Datadog’s design system and ensure consistency across CCM and the broader Datadog platform.
• Advocate for user needs through thoughtful design decisions and clear communication with stakeholders at all levels.
• Develop deep expertise in commitment programs while sharing knowledge and best practices across the broader design team.
• Champion thoughtful, polished visual design that raises the bar for the product’s look and feel.

Who You Are

• You have 3+ years of experience in digital product design, ideally within SaaS or technically complex domains.
• Your portfolio demonstrates strong end-to-end design execution with measurable impact and high-quality user experiences.
• You are an excellent communicator, able to clearly articulate design rationale and collaborate effectively with cross-functional teams.
• You’re proficient with modern design and prototyping tools (e.g., Figma, Sketch, Framer, InVision, Principle). Bonus if you have utilized tools like Cursor or Claude Code in your design workflow.
• You think in systems and are comfortable working within, and contributing to, component-based design patterns.
• You value feedback, iteration, and collaboration, and you actively help raise the quality of work across the team.
• You bring creativity and visual craft to your work.
  
  

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 programs for in-house networking
• Inclusive company culture with access to Community Guilds and Inclusion Talks
• Free, global mental health benefits for employees and dependents (age 6+)
• Competitive global benefits package

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get:

• 25 paid vacation days plus RTT days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Mandatory public health insurance with broad medical coverage
• Employer-paid private medical, dental, optical, and wellness plan through Axa, with options for dependents
• Life insurance with enhanced coverage above the Social Security ceiling
• Education pension for dependent children up to age 26 if in full-time education
• State and supplementary pension contributions by Veeam
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-DF1 #LI-REMOTE

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English 
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

What You’ll Get 

• 25 paid vacation days plus RTT days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Mandatory public health insurance with broad medical coverage
• Employer-paid private medical, dental, optical, and wellness plan through Axa, with options for dependents
• Life insurance with enhanced coverage above the Social Security ceiling
• Education pension for dependent children up to age 26 if in full-time education
• State and supplementary pension contributions by Veeam
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside of France. Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in France.

#LI-AP1

 Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.

We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.

Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory (ADF), GoodData, Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both bulk and real-time processing.

WHAT YOU'LL DO

• Your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform.
• Build and maintain high-performance data pipelines, contributing to a robust data and application architecture.
• Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
• Operate and enhance our data infrastructure, ensuring seamless data movement across platforms.
• Support the evaluation and integration of tools that empower engineering and data science teams.

WHAT YOU BRING

• 5+ years of experience in software development or data engineering in cloud-based environments.
• Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience would be nice to have
• Very good grasp of Infra-as-Code (IaC) and Terraform
• Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
• Experience designing scalable and robust data platforms.
• Familiarity with data modeling techniques (e.g., star schema, data vault).
• Experience with distributed data systems and Database optimization
• Comfortable working with NoSQL data stores and SQL Server.
• Experience in ETL processes and orchestration tools like Apache Airflow etc
• A passion for continuous learning, mentoring, and solving complex problems.
• Excellent communication skills in English.

HIRING PROCESS

• HR Screening
• Hiring manager Screening
• Technical Screening with an Architect
• Second Technical Screening with a Tech Lead or Data Engineer
• Final Round with Hiring Manager

#LI-RH1 #LI-HYBRID 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

A quick snapshot…

The Information System Engineer is responsible for the deployment and support of IT infrastructure, systems, application software and network services. This holder provides complex technical support to ensure application, infrastructure and system availability. The role includes problem diagnosis and resolution with activities comprising of requirement analysis, testing, integrating and managing components and applications. The role holder may also specialize in individual areas of responsibility where they may be the subject matter expert having greater responsibility and focus in these areas.

Why it’s a big deal…

This role is critical to keeping Conga’s technology environment secure, stable, and scalable. By proactively managing systems and infrastructure, responding effectively to incidents, and ensuring compliance with internal IT strategy, security, and regulatory standards, the System Engineer directly enables business continuity and future growth.

Here’s what we’re looking for...

• Proactively maintain and manage the technologies and platforms for the area responsible.
• Design, Document and Implement solutions as required.
• Provide support and escalation in response to issues as required by the business, potentially including out of business hours, ensuring SLA and resolution times are adhered to and correct escalation paths are appropriately followed.
• Accurately log and document changes and work in the appropriate systems.
• Impact assesses work and changes to ensure minimum impact to not only the platforms you are responsible for but any platforms or business processes which interact with your area of responsibility.
• Ensure any work undertaken is in line with the Internal IT Strategy and in compliance with company, security and regulatory standards.
• Assisting with ad-hoc or project tasks required by the business or in line with the overall IT strategy.
• To maintain equipment and software inventory and liaise with Asset Management teams.
• Ensuring policies and processes are adhered to while also maintaining the appropriate urgency to a piece of work.
• Evaluating and balancing priorities to ensure work is completed on a business impact/benefit basis.
• To keep up to speed with emerging technologies and developments both within group and externally within their field of expertise.
• Share, and encourage the sharing of, technical knowledge across the company.
• Occasional travel may also be required between offices.
• Lead desktop and helpdesk support efforts, making sure all desktop applications, workstations, and related equipment problems are resolved in a timely manner with limited disruptions
• Troubleshoot hardware and software errors by running diagnostics, documenting problems and resolutions, prioritizing problems, and assessing impact of issues
• Communications: concisely deliver the appropriate information to the right audience
• Must work well in a distributed team environment

Here’s what will give you an edge…

• 3+ years of experience or relevant technical training in one or more of the following:
  • Identity Management (Permissions, Policies, Authentication/ Replication)
  • Collaboration tools (Email, Messaging, etc)
  • Microsoft Server and Windows OS
  • Networking Skills (VPN, DHCP, Wireless)
  • Device Management tools (Intune, Jamf, Patch Management)
• Experience of working within an enterprise environment with remote disparate users on a global scale.
• Understanding of device deployment processes.
• Familiar with Apple MAC devices.
• Understanding of IP networking as it relates to local area and wide area networks.
• Experience with cloud platforms Azure, Microsoft 365, AWS.
• Understanding of security technologies and best practices.
• Outstanding customer service skills and an ability to work with all levels of management.
• Strong communication and interpersonal skills required.
• Must be able to take direction, manage priorities, and perform tasks with minimal supervision.
• Must possess attention to detail and keen aptitude for technology along with willingness to take on new challenges.
• Ability to document and explain complex technical subject matter.

• Own relationships for OCD/ Devoteam at EMEA and local Level:
• Named Partner sales reps, Named partner SE's
• Drive enablement activities for National Partners with Partner Sellers and Technical team
• Drive internal enablement with Wiz Sellers on Partner go-to-market and value
• Develop and Execute Business Plans with managed Partner Accounts
• Drive Account mapping activities with Regional Partner Sellers and Wiz Sellers
• Support Account mapping activities with National Partner Sellers and Wiz Sellers
• Regular Team Meeting cadence to present updates to the Wiz Sales team in region
• 1:1 with Wiz Sellers and RSD's
• Best Practice Sharing with Wiz Sellers and Specialist team (can be RPM)
• Go-to contact for any National partner conflict and support in Sales cycles of deals
• Own escalations to ensure conflict is resolved
• Hold Partners accountable for External Partner Rules of Engagement
• Help hold Wiz sellers accountable for Internal Partner Rules of Engagement

• Own Reseller Agreement process while collaborating with Wiz Legal (if National partner related)
• MNDA, OTRA, master agreements, order forms
• Deliver Wiz First Meeting Pitch to Partner teams
• Align with Wiz Marketing on regional strategy with Partners
• Work with field marketing on driving attendance, and communicate follow up strategy
• Goal to do 3 events per quarter per region (Wiz/CSP/Partner)
• Manage available budgets (and spiff promotion, execution)
• Deal Registration Qualification and administration
• Manage deals alongside Wiz Sellers to ensure smooth partner engagement
• Track private offers and work with Wiz Seller, Partner Operations to ensure the deal runs smoothly
• Partner team forecasting ensuring proper deal management and engagement in opportunities
• Weekly reports updates to teams supported and leadership

• Process Oriented. You pay attention to the details. You update your SFDC accounts. Your previous Sales Operations Teams love you.
• A Channel Matchmaker. You know how to find the right partner for the right opportunity.
• A Team Player. Selling is a team sport and the field is our customer. You were your previous Field teams "go to" channel person.
• Experience in channel recruitment and onboarding.
• SaaS Channel Experience.
• Consistent track record of meeting and exceeding targets. 
• Cloud Service Provider Marketplace experience (AWS, Azure, GCP, etc).

SUMMARY

WHAT YOU’LL DO

• Lead threat modeling and security review exercises across Wiz’s production and CI/CD environments – identifying and mitigating risks in our products and the cloud services that support them 
• Drive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls 
• Extend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents  
• Build deep functional partnerships with Wiz’s engineering and operations teams – helping them deliver secure-by-design solutions 

WHAT YOU’LL BRING

• 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: 
• AWS platforms and services (we will also consider equivalent experience in Azure and GCP) 
• Kubernetes (AWS EKS) and container infrastructure 
• IAM and managing cloud identities at-scale 
• Secure development and application of IAC solutions (Terraform, Helm) 
• Cloud-native observability and management tools 
• Development experience in Go, Python and Rust

PREFERRED QUALIFICATIONS

• Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree 
• Experience working with remote, globally distributed teams  
• Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers   
• Experience with CNAPP, CSPM, or CIEM solutions

#LI-Remote

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

As a Partner Sales Engineer at Ping Identity, you will bring a passion for identity and a customer-first mindset. You will work with a highly effective partner team on engaging and interactive customer-oriented meetings, demonstrations, and proofs of concept that articulate the business and technical value customers will receive from a Ping Identity solution. You will be an active member of a team that empowers personal, team, and partner success. This role will be a key contributor to our overall sales and business development strategy as we look to continue maturing our partner network to ensure sustained growth across Europe and build out our partner capability in a number of other developing markets.

As a Partner Sales Engineer, you will have the opportunity to not only enable partners but also work alongside them and support them as they go to market with Ping Identity solutions. In this capacity, you will build and exercise deep technical and consultative skills while leveraging soft skills to maintain engagements and keep them moving forward. Collaboration is at the heart of this role; you will need to exercise consultative skills to rapidly understand an identity problem, prototype a full-stack solution, and implement this as a reusable asset that can be leveraged to accelerate partner-led engagements.

Expertise with Identity and Access Management (IAM) technologies coupled with insight into System Integrators’ unique needs, all matched with Ping Identity’s visionary capabilities, will enable the presentation of uniquely innovative and effective solutions that will enhance customer success with Ping Identity.

Responsibilities:

• Foster close relationships with delivery partners to support the technical sales relationship and build a mutually beneficial plan of success for delivering Ping Identity solutions.
• Support partner teams to understand and deliver enablement to drive business goals.
• Share knowledge and collaborate closely with the Field SE team, and occasionally contribute to broader opportunities and initiatives.
• Become familiar with elements that include marketing events, solution and sales training, joint solution development, and joint account sales activities that will drive the alliance relationship.
• Support partner technical learning events across supported sales regions, which might include delivering solution presentations, whiteboarding, and demonstrations.
• Work with the partner team to identify gaps in partner enablement, then create and execute plans to close those gaps.
• Provide pre-sales technical guidance to partners, i.e., product demonstrations, proof of concept for proposed solutions, and/or technical workshops.
• Work with partner teams to enable them to achieve customer wins. Emphasis during key sales cycle phases of: Qualification, Discovery, and Technical Proof Phase.
• Able to travel up to 30% of the time.

Skills & Qualifications:

• 3+ years in customer-facing professional services or pre-sales positions.
• Strong base of system integrator industry knowledge.
• Ability to develop and nurture relationships with System Integrators and Ping Identity Partner teams to better understand demonstration needs and solution requirements.
• Ability to rapidly innovate through the development of mobile and web applications, APIs, and platform configuration to build demonstration assets that resonate with both business and technical audiences. The focus is to enable system integrator teams to sell Ping Identity successfully.
• Strong written and verbal communication skills to empower System Integrator and Channel partner communities.
• Ability to work with a high level of self-direction and/or collaboratively with other teams within Ping Identity.
• Ability to relate proposed solution technical capabilities back to customer needs in a narrative style.
• Competency with scripting languages (JavaScript, Groovy, etc.), RESTful Web Services, and web development frameworks such as Node.JS and Vue.js.
• Some experience but, most importantly, a willingness to learn mobile and hybrid frameworks to deliver demonstrations on a variety of platforms.
• Developing and delivering technical presentations, workshops, customized demonstrations, and proof of concepts.
• Experience working with IAM solutions in or with enterprise organizations.
• Experience with the installation and configuration of one or more IAM technologies from: Ping Identity, Forgerock, CA, Oracle, IBM, Novell/NetIQ/Microfocus, or similar.
• Working knowledge of IAM-related protocols and formats such as: OAuth2, OIDC, SAML, SCIM, LDAP, JSON, XML, SQL, etc.
• General networking concepts and technologies such as: TCP/IP, HTTP/S, routing, load balancers, proxies, etc.
• Cloud Platforms - AWS, GCP, or Azure.
• Proficiency in speaking and writing French is a must have in addition to English as means of communication.
• Proficiency in Spanish will be nice to have.

Ideal Candidate Skills (one or more):

• First hand familiarity with capabilities of one or more IAM technologies from Ping Identity, Forgerock, Okta, Auth0, SailPoint, CA, Oracle, or similar.
• Understanding of one or more standards and protocols relating to IAM: OAuth2, OIDC, UMA, SAML, SCIM, LDAP, JSON.
• Expertise with one or more typical cloud services providers such as AWS, GCP, Azure.
• Consultancy experience working with external stakeholders such as business partners, customers.
• Experience working closely with a sales organization.
• Understanding of IAM concepts such as Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow.

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

How you’ll make an impact

At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.

You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.

Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.

What you’ll work on

• Operate, maintain, and troubleshoot UNIX/Linux systems running in cloud environments
• Support and maintain existing configuration management and Infrastructure as Code setups
• Assist with the operation of cloud-based infrastructure, including virtual machines, networking components, and managed services
• Help monitor system health and performance, investigate alerts, and participate in incident response and root cause analysis
• Perform routine infrastructure updates and maintenance to ensure systems remain secure, reliable, and up to date
• Support Kubernetes clusters and containerized workloads, primarily from an operational and troubleshooting perspective
• Collaborate with senior engineers to improve automation, monitoring, and operational practices
• Document procedures, operational runbooks, and troubleshooting steps to improve team efficiency

What you need to be successful

• Experience working with UNIX/Linux systems, including hands-on troubleshooting and shell scripting
• Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data-center environments
• Basic experience operating infrastructure in a cloud environment (preferably AWS), including compute, networking, and monitoring services
• Basic scripting or development experience (e.g., Python)
• Clear communication skills and a collaborative, respectful approach to working with teammates
• Willingness to learn, ask questions, and grow technical depth over time

Nice to have

• Exposure to Infrastructure as Code tools such as Terraform
• Familiarity with at least one configuration management or automation tool (e.g., Ansible, Chef, Puppet, SaltStack)
• Familiarity with Kubernetes or container-based environments
• Experience with monitoring tools such as Grafana or similar platforms
• Ability to investigate incidents, follow runbooks, and escalate appropriately when needed
• Interest in automation and reliability, even if you have not yet designed large-scale systems yourself #LI-Hybrid #LI-FR1

Why Engineering at Dataiku? 

Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

What to know about the Field Engineering team 

As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.

How you’ll make an impact

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

Initial call with a member of our Technical Recruiting team

Video call with the Field Engineer Hiring Manager

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with Field Engineer Team members

Final Interview with the Sr Director Field Engineering

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Paris office or full remote from any part of France.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring

• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

As a Fullstack Engineer, you will join our core Engineering team to build complete designs for applications and features that deliver direct value to our customers. You will solve complex technical challenges by working within your squad and collaborating across the organization with Data Scientists, QA, and Product Managers. Your focus will be on delivering high-performance, scalable, and quality solutions that modernize our platform. This role is essential for driving the technical migrations and architectural improvements that power Shift’s mission.

What Your Impact Looks Like

At Shift, we value ownership from day one. In this role, you will:

• Jump In & Own It: 
• Take full ownership of technical tasks and resolve delivery blockers promptly without waiting for direction.
• Design and implement intuitive user interfaces to collect and review information.
• Build and maintain robust APIs that automate decision-making processes.
• Simplify the Complex: Design, write and test (from unit to end-to-end) clear, clean, well-structured C# and React code that is easy for others to maintain. 
• Test, Learn, Scale: 
• Contribute to technical migrations, modernization efforts, and architectural improvements as our platforms evolve.
• Experiment with new frameworks and use retrospectives to identify opportunities to improve delivery speed and quality.
• Communicate with Impact: Share progress and technical trade-offs clearly during stand-ups, adapting the detail for both peers and stakeholders.
• Solve Without Drama: Address production incidents and bugs calmly and methodically, focusing on root causes and long-term solutions.
• Finish what you start: Demonstrate reliability by validating that all code meets user needs and is fully documented before moving to new work.

We work with modern technologies and always encourage our team to explore what’s new in the market. Our main tools are:

• Frontend: React/Redux/TS/Vanilla Extract/LESS/Dev Container with Vite
• Backend: ASP.NET, C#, MSSQL, Elasticsearch
• IDE: your choice - Rider, VS Code, or Visual Studio + Resharper
• Cloud: Microsoft Azure
• Foundational toolchain: GitHub Enterprise, GHAS, GH Copilot + coding agent
• CI/CD: GitHub Actions / TeamCity, Cypress, GH Packages (npm, NuGet), Octopus
• Collaboration: Slack, Jira, Confluence

What You'll Need to Succeed

We are looking for a Shifter who is:

• C# Expert: You have 2 to 6 years of experience in software development with a deep, production-level mastery of C# and .NET.
• Fullstack-Capable: You are comfortable across the stack and have hands-on experience with React or modern JavaScript frameworks.
• Architecturally Minded: You don’t just write code; you design scalable, maintainable systems and write clean, testable logic.
• Growth-Oriented: You have a test-and-learn mindset, actively exploring new tools and frameworks to improve performance and quality.
• Impact-Driven: You focus on outcomes over output, taking full ownership of your tasks from initial design to production monitoring.
• Collaborative & Clear: You are a fluent English speaker who can explain technical trade-offs simply and partner effectively with cross-functional squads.

• 30-minute video interview with our Talent Acquisition Specialist
• 2x 1-hour technical interviews, one with a Backend dev and one with a Frontend dev
• 1-hour final interview with the Hiring Manager

#LI-RH1 #LI-HYBRID 

Who we are

What you will be doing: Key responsibilities

As a Senior Data Analyst, your role will encompass:

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
• Extracting valuable insights from our clients’ marketing-related data sources.
• Designing dashboards for marketing decision-making while taking into account the business needs
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
• Actively contributing to the expertise level and competencies of the Data & Analytics team
• Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 3 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) 

  In addition, you have the knowledge in one or more of the following technologies:

  • Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized

  Ideally you have: 

  • Knowledge of statistics 
  • Knowledge of machine learning and data engineering

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Qui sommes-nous

Artefact est un cabinet de conseil spécialisé en data et IA, comptant plus de 1 700 collaborateurs répartis dans 27 pays et 27 bureaux. Nous combinons la rigueur du conseil stratégique avec une expertise approfondie en data, digital et intelligence artificielle pour accompagner les grandes marques mondiales dans leur transformation.

Artefact 3000 est l’agence créative d’Artefact : 70 experts créatifs (prompt artists, directeurs artistiques, spécialistes marketing & média, ingénieur IA) qui opèrent à l’intersection du talent créatif et de l’IA. 

• Nous accompagnons des grandes entreprises dans la transformation de leurs activités marketing et de production de contenus. 
• Nous concevons et produisons des contenus image et vidéo en IA, avec une qualité, une rapidité et un volume que la production traditionnelle ne peut atteindre.

Au sein d’Artefact 3000, la business unit “AI for content production and marketing transformation” développe une expertise forte autour des dernières technologies d’IA générative pour conseiller nos clients et les accompagner dans le développement de solutions innovantes. Nos clients sont des marques internationales dans les secteurs du retail, FMCG, luxe, énergie, services financier, santé, etc. 

Nos trois offres principales : 

Production Image & Vidéo avec l’IA : création d’assets IA entièrement personnalisés, conformes aux guidelines de marque 

GenAI Factory pour le production de Contenu at Scale : Développement d’outils de production IA qui automatisent la génération, la traduction, la localisation et le déploiement d’assets marketing

Formation aux outils Gen AI : montée en compétences des équipes marketing et créatives sur les solutions d’IA générative à tous les niveaux.

Nous sommes partenaires d’acteurs technologiques majeurs et travaillons main dans la main avec Google et Adobe pour utiliser et intégrer leurs solutions chez nos clients. 

Le poste

En tant que Spécialiste Gen AI - Création de Contenu & Marketing, vous rejoindrez la business unit “AI for content production and marketing transformation” et interviendrez sur l’ensemble de nos offres : délivrance de projets clients, R&D sur les modèles et outils émergents, formation interne et externe, et développement commercial de l’offre. Vous travaillerez à l’intersection de la production créative, de l’ingénierie IA, de l’innovation et du conseil : un positionnement hybride unique qui exige à la fois profondeur technique et sens business.

Il s’agit d’un poste opérationnel avec un impact direct sur des projets clients en cours pour de grandes marques internationales. Vous serez amené(e) à contribuer de manière autonome dès votre arrivée, en collaboration étroite avec nos creative technologists, prompt artists, directeurs artistiques et consultants data.

Missions principales

Délivrance projets clients

• Développer et déployer des solutions d’IA générative pour la production de contenu à l’échelle (assets image, vidéo, texte pour SMA, TV Ads, SEA, CRM, e-commerce website …)
• Concevoir et construire des pipelines de production IA intégrant les modèles de référence (Flux, Seedream Wan, Z-Image, Gemini, Seedance, VEO, Sora, etc.) avec des workflows nodaux (ComfyUI, Fal, Freepik, Weavy) et de la génération via intégration d’API dans des interfaces
• Produire directement des assets créatifs générés par IA pour les campagnes clients, en garantissant la cohérence de marque et un niveau de qualité commercial
• Mettre en place des workflows de fine-tuning LoRA et d’adaptation de modèles pour reproduire fidèlement des éléments visuels spécifiques à une marque (produits, personnages, mascottes)
• Architecturer des solutions de “content factory” de bout en bout : de la génération d’assets IA à la validation de conformité de marque, jusqu’à l’activation sur les canaux et la mesure de performance
• Cadrer les besoins clients en IA générative : identification des cas d’usage, cadrage technique, partage de références et conception de solutions

R&D, veille technologique et innovation

• Être constamment informé(e) des dernières avancées en IA générative pour le contenu : nouveaux modèles, outils, techniques et mises à jour de plateformes
• Benchmarker et évaluer les outils émergents sur l’ensemble de la chaîne créative : génération d’images (Google, Midjourney, Adobe Firefly, Flux, Reve …), génération vidéo (Runway, Kling, Seedance, Wan, Minimax …), voix/musique (ElevenLabs, Suno) et interfaces de production nodales (ComfyUI, Freepik, Flora, Fal, Weavy …)
• Tester, prototyper et intégrer les nouvelles capacités dans nos pipelines de production
• Partager les découvertes avec l’équipe et contribuer aux bases de connaissances internes et aux bonnes pratiques

Formation et transfert de compétences

• Concevoir et animer des sessions de formation sur les outils d’IA générative pour les équipes internes (créatifs Artefact 3000, consultants) et les clients externes (profils marketing, créatifs et business)
• Créer des supports de formation dédiés couvrant le prompt engineering, les workflows de génération image/vidéo, les interfaces nodales et la production de contenu assistée par IA
• Accompagner les workshops clients et les sessions de sensibilisation IA au niveau COMEX
• Contribuer aux programmes de formation certifiés Qualiopi d’Artefact sur la Gen AI

Développement commercial

• Contribuer aux réponses aux appels d’offres et aux propositions commerciales pour des mandats de production de contenu Gen AI
• Soutenir la préparation des pitchs avec des démonstrations techniques, des preuves de concept et des supports de case studies
• Identifier et qualifier de nouvelles opportunités business en production de contenu par l’IA
• Participer au développement de l’écosystème de partenaires (Google, Adobe et autres partenaires technologiques)

Votre profil

Formation 

• Diplôme d’ingénieur ou Master (IA, informatique, data science) avec une sensibilité créative marquée et un intérêt pour la production de contenu et le marketing
• Formation créative, design graphique/digital (direction artistique, design graphique, motion design, création digitale) avec une expertise démontrée sur les outils d’IA générative, les outils de production digitaux (Suite Adobe, Blender, Figma, Jitter …) et une forte aptitude technique pour les workflows nodaux ou le code (python, json) 
• 1 à 3 ans d’expérience professionnelle dans un poste similaire  (conseil, ingénierie IA, innovation, creative technology, production digitale). 

Compétences techniques (requises)

• Connaissance pratique des modèles génératifs de référence : Nano Banana, Flux, MidJourney,  Seedance, Seedream, Z-Image, Minimax, Kling, Runway, etc, et capacité à évaluer rapidement les nouvelles sorties
• Maîtrise des interfaces de production IA nodales : ComfyUI, Weavy, Fal, ou équivalent pour la génération d’images/vidéos
• Connaissance pratique des logiciels de production digitaux/PAO : Suite Adobe, Blender, Houdini, Figma, Jitter …
• Expérience ou compréhension solide des outils de génération image/vidéo
• Maîtrise des assistants IA et outils de productivité : Claude, Chat GPT, Gemini, Cursor, V0, Lovable, etc.  
• Connaissance de base des languages de programmation (ex : Python), les intégrations API et l’infrastructure IA cloud (GCP/Azure/AWS) est un plus

Compétences techniques (appréciées)

• Expérience en fine-tuning LoRA (Kohya, scripts d’entraînement custom)
• Maîtrise des logiciels de production digitaux/PAO : Suite Adobe, Blender, Houdini, Figma, Jitter
• Expérience avec des systèmes DAM/PIM et des plateformes de gestion d’assets marketing

Savoir-être et état d’esprit

• Fort sens business et capacité d’analyse. Vous comprenez que les outils IA sont des moyens au service de résultats business. Vous savez traduire un brief client en approche technique et quantifier l’impact.
• Autonome et agile. Vous évoluez naturellement dans des environnements rapides, gérez vos priorités et délivrez sans supervision constante. Vous vous adaptez rapidement lorsque les périmètres de projet ou les technologies évoluent.
• Curiosité insatiable et innovation. Vous explorez de nouveaux modèles, testez des outils et lisez des publications en dehors de vos heures de travail. Votre connaissance du paysage Gen AI est toujours à jour.
• Communication claire. Vous savez expliquer des concepts techniques complexes à des interlocuteurs non techniques (directeurs marketing, membres du COMEX) et produire des livrables clients de qualité.
• Esprit d’équipe et ADN conseil. Vous êtes à l’aise dans les interactions clients, la résolution structurée de problèmes et le rythme de la délivrance en conseil.

Langues

• Français : Natif ou courant ( la majorité des interactions clients et des opérations internes sont en français)
• Anglais : Niveau professionnel (clients internationaux, documentation technique, écosystèmes d’outils et de modèles en anglais)

Pourquoi nous rejoindre

• Artefact 3000 se situe à l’intersection exacte de la production créative et de l’ingénierie IA. Ce n’est ni un poste purement technique, ni un poste purement créatif. C’est les deux.
• Vous travaillerez avec les derniers modèles et outils d’IA générative sur de vrais briefs de production pour de grandes entreprises internationales.
• Petite équipe au sein d’une grande organisation. Vos contributions seront visibles et votre trajectoire de croissance rapide.
• Accès direct aux derniers produits IA de Google et Adobe grâce à notre statut de partenaire certifié.
• Formation continue en méthodologies de conseil et en capacités IA, exposition internationale au sein du réseau mondial d’Artefact.
• Innovation, action, collaboration. Nous avançons vite, livrons des solutions et soutenons la progression de chacun.

Processus de recrutement

1. RH Call
2. Entretien avec Etienne, Senior Gen AI Manager
3. Etude de cas
4. Restitution de l’étude de cas 
5. Entretien final avec la direction d’Artefact 3000

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, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 700 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 700 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

o Analyse et compréhension des besoins clients 

• Vous travaillez en étroite collaboration avec le business en animant des ateliers pour étudier les besoins des clients 
• Vous êtes force de proposition dans la formalisation du problème, afin de s’assurer de cerner le vrai besoin
• Vous vous appropriez la culture et l’écosystème du client afin de maîtriser son contexte et assurer le cadrage technologique

o Conception de solutions

• Vous préconisez les solutions et les architectures cibles, en estimant la faisabilité ainsi que les risques d’implémentation de chaque projet
• Vous travaillez avec les directions techniques des clients afin d’identifier les solutions les plus pertinentes vis à vis de l’organisation
• Vous maitrisez les différents flux de données mis en oeuvre dans la solution ainsi que leur transformation, leur stockage et leur distribution dans un contexte Cloud (GCP et Azure)
• Vous mêlez pragmatisme et vision, créant des solutions réalistes qui répondent aux besoins futurs, et faisant preuve de scalabilité et fiabilité

o Suivi de l’implémentation

• Vous travaillez avec les équipes de développement et les data scientists afin de guider et faciliter la production et le déploiement des solutions
• Vous travaillez avec les équipes business afin d’itérer sur les solutions et travailler en agilité, tout en raffinant votre compréhension du besoin
• Vous collaborez avec les équipes client afin de faciliter la prise d’ownership de la solution, et sa pérennité 

Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes et mobiliser les énergies des équipes 
• Vos qualités d’investigation vous permettent d’obtenir toutes les informations  pour construire la meilleure solution répondant au besoin du client 
• Curieux(se), vous êtes en constante veille des nouvelles technologies pour comprendre en profondeur ce qui sera utile pour livrer les futures architectures data
• Bienveillant(e), vous contribuez à la montée en compétences des équipes de développement autour des technologies 
• Business oriented, vous interagissez avec nos clients (externes et internes) et toutes les parties prenantes techniques pour répondre aux exigences complexes et y apporter les solutions adéquates.

Profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une excellente connaissance du fonctionnement des principaux composants d’une architecture technique moderne.
• Vous disposez d'au moins 5 ans d'expérience, qui vous permet de prendre de la hauteur vis à vis des sujets que vous traitez, pour autant vous possédez une ou plusieurs expertises : Architectures Data, Cloud, Architecture du SI, IoT, Devops…
• Vous avez au moins une expérience dans le conseil.
• Vous maitrisez l’anglais et vous avez des expériences réussies dans un environnement similaire (SSII, consulting ...).

Les plus:

• connaissance spécifique pointue des technologies cloud de Google (GCP), Microsoft (Azure) ou Amazon (AWS);
• expérience en développement logiciel
  
  

Pourquoi nous rejoindre 

• Stack complète à la pointe de l’innovation : Python, Kubernetes, Kafka, Spark, Google Cloud Platform (BQ, Dataflow, Compute Engine, PubSub, AppEngine…) , Airflow, Docker
• Diversité des projets, par exemple (non exhaustif) :
  - Mise en place de Datalake
  - Création de chatbot
  - Industrialisation d’algorithme de machine learning
  - Définition de stratégie Data 
• Environnement jeune et challengeant, équipe compétente
• Rayonnement international et entreprise en croissance

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, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

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, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Who are we 

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. 

We specialize in data & AI transformation and data-driven marketing to drive tangible business results across the entire enterprise value chain. Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. 

From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1700+ employees operate in 25 countries (Europe, Asia, Americas, Middle East, India, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi.To support this growth, our Consulting department is looking for a Junior Software Engineer.

What is it to be a Senior Software Engineer in Artefact?

As a Senior Software Engineer at Artefact you will work on all aspects of data engineering in multidisciplinary client teams. As a Senior Software Engineer at Artefact, you will be responsible for the good relationship with your clients in terms of software engineering tasks and you will start to supervise more junior profiles.

You will be using data as a tool to solve the real-world problems encountered by various sectors (e.g. retail, luxe, telecom, healthcare). This involves multiple activities:

• You will work in an agile team composed of data experts like you, but also non-technical people.
• You will work on and deploy your software to the cloud (GCP, AWS or Azure).
• You will implement software with Python and SQL to create applications and data transformations.
• You will apply DevOps principles: automating tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (we use terraform), packaging applications in containers (we usedocker), implementing enablers for data observability (we use DBT).
• You will be developing one or more of the following technical expertises: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering

Profile - What we are looking for?

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and  indexation systems (ElasticSearch, Vespa) is a plus 
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English and you are fluent in french to work in our Parisian office.

The recruitment process : 

To join Artefact, we propose to you an hiring process in four steps : 

• HR Call 
• Interview #1 - Coding Test with a senior Software Engineer
• Interview #2 - Architecture and Pipeline Test with a senior Software Engineer
• Interview #3 - Fit Interview with the software engineer Director.

Each interview is an opportunity to talk about your experience and learn more about Artefact and the software engineer position 

Onboarding Process : 

When you join Artefact, we organize an onboarding week to give you a 360 degree view of the company (training to give you the keys of the consulting culture and the consulting skills, share of tips about the project management). This time allows you to meet other newcomers and to have a large vision of the company.

Tasty Benefits : 

• Ideal location: we are based in the heart of Paris in the 9th district. 
• A unique mix of talents (Data consultants, Data Analyst, Data scientist, software engineer), and fast career opportunities. 
• A great place to learn: You will master the key skills of the data consulting world: you will receive regular training on technology, you will work in hybrid teams, you will learn the specific ways of working in tech (product mindset, agility...). At the end of your Artefact experience, you are an experienced technology leader.
• In addition, you have a mentor who will be dedicated to help you in your orientation and your professional development within Artefact.
• Culture: Innovation, Collaboration and Action are our values. We are doers who working together to create innovative solutions

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Qui sommes-nous

Artefact est un cabinet de conseil spécialisé en data et IA, comptant plus de 1 700 collaborateurs répartis dans 27 pays et 27 bureaux. Nous combinons la rigueur du conseil stratégique avec une expertise approfondie en data, digital et intelligence artificielle pour accompagner les grandes marques mondiales dans leur transformation.

Artefact 3000 est l’agence créative d’Artefact : 70 experts créatifs (prompt artists, directeurs artistiques, spécialistes marketing & média, ingénieur IA) qui opèrent à l’intersection du talent créatif et de l’IA. 

• Nous accompagnons des grandes entreprises dans la transformation de leurs activités marketing et de production de contenus. 
• Nous concevons et produisons des contenus image et vidéo en IA, avec une qualité, une rapidité et un volume que la production traditionnelle ne peut atteindre.

Au sein d’Artefact 3000, la business unit “AI for content production and marketing transformation” développe une expertise forte autour des dernières technologies d’IA générative pour conseiller nos clients et les accompagner dans le développement de solutions innovantes. Nos clients sont des marques internationales dans les secteurs du retail, FMCG, luxe, énergie, services financier, santé, etc. 

Nos trois offres principales : 

Production Image & Vidéo avec l’IA : création d’assets IA entièrement personnalisés, conformes aux guidelines de marque 

GenAI Factory pour le production de Contenu at Scale : Développement d’outils de production IA qui automatisent la génération, la traduction, la localisation et le déploiement d’assets marketing

Formation aux outils Gen AI : montée en compétences des équipes marketing et créatives sur les solutions d’IA générative à tous les niveaux.

Nous sommes partenaires d’acteurs technologiques majeurs et travaillons main dans la main avec Google et Adobe pour utiliser et intégrer leurs solutions chez nos clients. 

Le poste

En tant que Spécialiste Gen AI - Création de Contenu & Marketing, vous rejoindrez la business unit “AI for content production and marketing transformation” et interviendrez sur l’ensemble de nos offres : délivrance de projets clients, R&D sur les modèles et outils émergents, formation interne et externe, et développement commercial de l’offre. Vous travaillerez à l’intersection de la production créative, de l’ingénierie IA, de l’innovation et du conseil : un positionnement hybride unique qui exige à la fois profondeur technique et sens business.

Il s’agit d’un poste opérationnel avec un impact direct sur des projets clients en cours pour de grandes marques internationales. Vous serez amené(e) à contribuer de manière autonome dès votre arrivée, en collaboration étroite avec nos creative technologists, prompt artists, directeurs artistiques et consultants data.

Missions principales

Délivrance projets clients

• Développer et déployer des solutions d’IA générative pour la production de contenu à l’échelle (assets image, vidéo, texte pour SMA, TV Ads, SEA, CRM, e-commerce website …)
• Concevoir et construire des pipelines de production IA intégrant les modèles de référence (Flux, Seedream Wan, Z-Image, Gemini, Seedance, VEO, Sora, etc.) avec des workflows nodaux (ComfyUI, Fal, Freepik, Weavy) et de la génération via intégration d’API dans des interfaces
• Produire directement des assets créatifs générés par IA pour les campagnes clients, en garantissant la cohérence de marque et un niveau de qualité commercial
• Mettre en place des workflows de fine-tuning LoRA et d’adaptation de modèles pour reproduire fidèlement des éléments visuels spécifiques à une marque (produits, personnages, mascottes)
• Architecturer des solutions de “content factory” de bout en bout : de la génération d’assets IA à la validation de conformité de marque, jusqu’à l’activation sur les canaux et la mesure de performance
• Cadrer les besoins clients en IA générative : identification des cas d’usage, cadrage technique, partage de références et conception de solutions

R&D, veille technologique et innovation

• Être constamment informé(e) des dernières avancées en IA générative pour le contenu : nouveaux modèles, outils, techniques et mises à jour de plateformes
• Benchmarker et évaluer les outils émergents sur l’ensemble de la chaîne créative : génération d’images (Google, Midjourney, Adobe Firefly, Flux, Reve …), génération vidéo (Runway, Kling, Seedance, Wan, Minimax …), voix/musique (ElevenLabs, Suno) et interfaces de production nodales (ComfyUI, Freepik, Flora, Fal, Weavy …)
• Tester, prototyper et intégrer les nouvelles capacités dans nos pipelines de production
• Partager les découvertes avec l’équipe et contribuer aux bases de connaissances internes et aux bonnes pratiques

Formation et transfert de compétences

• Concevoir et animer des sessions de formation sur les outils d’IA générative pour les équipes internes (créatifs Artefact 3000, consultants) et les clients externes (profils marketing, créatifs et business)
• Créer des supports de formation dédiés couvrant le prompt engineering, les workflows de génération image/vidéo, les interfaces nodales et la production de contenu assistée par IA
• Accompagner les workshops clients et les sessions de sensibilisation IA au niveau COMEX
• Contribuer aux programmes de formation certifiés Qualiopi d’Artefact sur la Gen AI

Développement commercial

• Contribuer aux réponses aux appels d’offres et aux propositions commerciales pour des mandats de production de contenu Gen AI
• Soutenir la préparation des pitchs avec des démonstrations techniques, des preuves de concept et des supports de case studies
• Identifier et qualifier de nouvelles opportunités business en production de contenu par l’IA
• Participer au développement de l’écosystème de partenaires (Google, Adobe et autres partenaires technologiques)

Votre profil

Formation 

• Diplôme d’ingénieur ou Master (IA, informatique, data science) avec une sensibilité créative marquée et un intérêt pour la production de contenu et le marketing
• Formation créative, design graphique/digital (direction artistique, design graphique, motion design, création digitale) avec une expertise démontrée sur les outils d’IA générative, les outils de production digitaux (Suite Adobe, Blender, Figma, Jitter …) et une forte aptitude technique pour les workflows nodaux ou le code (python, json) 
• 1 à 3 ans d’expérience professionnelle dans un poste similaire  (conseil, ingénierie IA, innovation, creative technology, production digitale). 

Compétences techniques (requises)

• Connaissance pratique des modèles génératifs de référence : Nano Banana, Flux, MidJourney,  Seedance, Seedream, Z-Image, Minimax, Kling, Runway, etc, et capacité à évaluer rapidement les nouvelles sorties
• Maîtrise des interfaces de production IA nodales : ComfyUI, Weavy, Fal, ou équivalent pour la génération d’images/vidéos
• Connaissance pratique des logiciels de production digitaux/PAO : Suite Adobe, Blender, Houdini, Figma, Jitter …
• Expérience ou compréhension solide des outils de génération image/vidéo
• Maîtrise des assistants IA et outils de productivité : Claude, Chat GPT, Gemini, Cursor, V0, Lovable, etc.  
• Connaissance de base des languages de programmation (ex : Python), les intégrations API et l’infrastructure IA cloud (GCP/Azure/AWS) est un plus

Compétences techniques (appréciées)

• Expérience en fine-tuning LoRA (Kohya, scripts d’entraînement custom)
• Maîtrise des logiciels de production digitaux/PAO : Suite Adobe, Blender, Houdini, Figma, Jitter
• Expérience avec des systèmes DAM/PIM et des plateformes de gestion d’assets marketing

Savoir-être et état d’esprit

• Fort sens business et capacité d’analyse. Vous comprenez que les outils IA sont des moyens au service de résultats business. Vous savez traduire un brief client en approche technique et quantifier l’impact.
• Autonome et agile. Vous évoluez naturellement dans des environnements rapides, gérez vos priorités et délivrez sans supervision constante. Vous vous adaptez rapidement lorsque les périmètres de projet ou les technologies évoluent.
• Curiosité insatiable et innovation. Vous explorez de nouveaux modèles, testez des outils et lisez des publications en dehors de vos heures de travail. Votre connaissance du paysage Gen AI est toujours à jour.
• Communication claire. Vous savez expliquer des concepts techniques complexes à des interlocuteurs non techniques (directeurs marketing, membres du COMEX) et produire des livrables clients de qualité.
• Esprit d’équipe et ADN conseil. Vous êtes à l’aise dans les interactions clients, la résolution structurée de problèmes et le rythme de la délivrance en conseil.

Langues

• Français : Natif ou courant ( la majorité des interactions clients et des opérations internes sont en français)
• Anglais : Niveau professionnel (clients internationaux, documentation technique, écosystèmes d’outils et de modèles en anglais)

Pourquoi nous rejoindre

• Artefact 3000 se situe à l’intersection exacte de la production créative et de l’ingénierie IA. Ce n’est ni un poste purement technique, ni un poste purement créatif. C’est les deux.
• Vous travaillerez avec les derniers modèles et outils d’IA générative sur de vrais briefs de production pour de grandes entreprises internationales.
• Petite équipe au sein d’une grande organisation. Vos contributions seront visibles et votre trajectoire de croissance rapide.
• Accès direct aux derniers produits IA de Google et Adobe grâce à notre statut de partenaire certifié.
• Formation continue en méthodologies de conseil et en capacités IA, exposition internationale au sein du réseau mondial d’Artefact.
• Innovation, action, collaboration. Nous avançons vite, livrons des solutions et soutenons la progression de chacun.

Processus de recrutement

1. RH Call
2. Entretien avec Etienne, Senior Gen AI Manager
3. Etude de cas
4. Restitution de l’étude de cas 
5. Entretien final avec la direction d’Artefact 3000

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, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 700 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions

Cadrage et conception technique

• Vous traduisez les besoins des équipes marketing et CRM en exigences fonctionnelles et techniques, en collaboration étroite avec les Product Owners, les équipes data et les interlocuteurs métiers (CMO, CRM managers, growth teams).
• Vous concevez l'architecture technique de projets data marketing complexes : collecte, unification et modélisation de la donnée client, mise en place ou évolution de CDP, intégration des plateformes d'activation, chiffrement de la donnée, application des réglementations (rétention, purge, chiffrement de la donnée client…).
• Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
• Vous rédigez les documents de conception technique et formalisez les décisions (architecture, sécurité, temps réel) pour assurer l'alignement de toutes les parties prenantes.

Leadership et supervision de la livraison

• Vous supervisez la livraison d'un ou plusieurs streams techniques dans des projets data marketing (CDP, data pipelines marketing, tracking, identity resolution, modeling, personalisation temps réel…), en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
• Vous participez directement à l'implémentation et à la résolution de problèmes techniques complexes (réconciliation d'identités, gestion de la conformité RGPD, orchestration des flux d'activation).
• Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et proactive avec les équipes client et les partenaires technologiques (éditeurs CDP, agences media, etc.).
• Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe.

Management et mentorat

• Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation, notamment sur les spécificités de l'écosystème martech.
• Vous êtes un "advocate" du partage de connaissances : vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
• En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
• Vous participez à l'amélioration d'un mandat interne (recrutement, formation, sécurité, bonnes pratiques, offres…) pour améliorer les compétences et le bien-être de l'équipe.

Votre mindset

• Ingénieux(se), vous aimez résoudre des problèmes complexes – notamment liés à l'unification et à l'activation de la donnée client – et avez les bonnes intuitions pour aborder n'importe quel sujet technique.
• Curieux(se), vous êtes en veille constante sur les évolutions de l'écosystème martech, des design patterns data, des nouvelles réglementations sur la privacy et des outils d'activation.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes – tracking, identité, audiences – et justifier vos choix par leur impact sur la performance marketing mesurable (CAC, LTV, ROAS…).

Votre profil

• Issu(e) d'une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions data dans un contexte marketing, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des sujets SRE.
• Vous maîtrisez a minima un cloud provider ou plateforme data standards ((GCP, Azure, AWS, Databricks, Snowflake…).
• Vous avez une expérience concrète sur un ou plusieurs sujets parmi les suivants :
• CDP (Segment, Treasure data, Salesforce Data Cloud, Adobe Experience Platform, Tealium…)
• Collecte & tracking (Tag Management, server-side tagging, Consent Management Platform)
• Identity resolution et réconciliation de profils clients (offline/online, first-party data)
• Activation & intégrations martech (connexions avec des plateformes publicitaires, CRM, email, push)
• Conformité data marketing (RGPD, cookieless, privacy-by-design)
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, CDP, couches d'activation) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement

1. HR call
2. Interview 1 technique – Revue des expériences passées, modélisation de données et test SQL
3. Interview 2 business & technique – Data Marketing business case & architecture data marketing.
4. Interview 3 fit

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, notamment de croyances, de genre, d'âge, de situation d'handicap, d'origine ethnique, d'orientation sexuelle, d'appartenance à une organisation politique, religieuse, syndicale ou à une minorité.