We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Paris for our hybrid working model.

As an ideal candidate, you will have:

• 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 designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• 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

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

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 over 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: 426224

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.

MongoDB and Customer Success

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications.

Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment.

Customer Success Manager

The Role

As a Customer Success Manager, you are the trusted advisor helping customers navigate their journey on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of accounts, acting as a strategic connector between your customers and the right resources at the right time to achieve their unique business goals. You’ll drive customer retention, revenue realization, and advocacy. You’ll build deep relationships, understand customer needs inside and out, and seamlessly navigate account team and internal resources to deliver real, measurable impact where your customers need it most.

We are looking to speak to candidates who are based in Paris for our hybrid working model.

Key Responsibilities

Customer Advisory

• Proactively identify risks and ensure deployment health by advising on best practices and operational strategies. Deliver optimal solutions to critical customer challenges, accelerating time-to-value and guiding customers to achieve their business goals through their MongoDB deployments.
• Conduct comprehensive customer business reviews, analyzing technical health and operational performance while translating insights into value-based outcomes. Partner with technical and business leaders to align on objectives and champion mutual success plans that foster growth and retention.

Account & Portfolio Management

• Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage a portfolio of customers across various stages of the journey, creating and executing strategies to maximize value realization, advocacy, and long-term success.
• Track and report progress against key business outcomes, forecast revenue retention and realization to senior leadership for business predictability, and identify new opportunities to expand customer impact, collaborating with presales teams to support growth.
• Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI-driven tools to streamline daily workflows, improve productivity, and optimize customer success outcomes.

Internal Collaboration & Customer Advocacy

• Amplify the voice of the customer within MongoDB, leveraging customer insights to inform MongoDB’s product roadmap and coordinate across Sales, Product, Services, Support, and Training teams to drive customer health, satisfaction, and value realization.
• Connect customers with the right internal resources, including Marketing programs and Executive Sponsor engagement, while contributing learnings from customer interactions to strengthen team success and maximize customer value.

What You Will Bring

• Relevant Experience: 5 to 7+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product.
• Accountability: 3+ years experience being accountable for customer health and revenue realization for a defined book of business for Enterprise/High Tech customers
• Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes, bilingual in English and French
• Education: Bachelor’s degree in Computer Science, STEM, or equivalent technical work experience.

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 over 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: 1273399040

MongoDB and Customer Success

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications.

Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment.

Customer Success Manager

The Role

As a Customer Success Manager, you are the trusted advisor helping customers navigate their journey on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of accounts, acting as a strategic connector between your customers and the right resources at the right time to achieve their unique business goals. You’ll drive customer retention, revenue realization, and advocacy. You’ll build deep relationships, understand customer needs inside and out, and seamlessly navigate account team and internal resources to deliver real, measurable impact where your customers need it most.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Key Responsibilities

Customer Advisory

• Proactively identify risks and ensure deployment health by advising on best practices and operational strategies. Deliver optimal solutions to critical customer challenges, accelerating time-to-value and guiding customers to achieve their business goals through their MongoDB deployments.
• Conduct comprehensive customer business reviews, analyzing technical health and operational performance while translating insights into value-based outcomes. Partner with technical and business leaders to align on objectives and champion mutual success plans that foster growth and retention.

Account & Portfolio Management

• Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage a portfolio of customers across various stages of the journey, creating and executing strategies to maximize value realization, advocacy, and long-term success.
• Track and report progress against key business outcomes, forecast revenue retention and realization to senior leadership for business predictability, and identify new opportunities to expand customer impact, collaborating with presales teams to support growth.
• Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI-driven tools to streamline daily workflows, improve productivity, and optimize customer success outcomes.

Internal Collaboration & Customer Advocacy

• Amplify the voice of the customer within MongoDB, leveraging customer insights to inform MongoDB’s product roadmap and coordinate across Sales, Product, Services, Support, and Training teams to drive customer health, satisfaction, and value realization.
• Connect customers with the right internal resources, including Marketing programs and Executive Sponsor engagement, while contributing learnings from customer interactions to strengthen team success and maximize customer value.

What You Will Bring

• Relevant Experience: 5 to 7+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product.
• Accountability: 3+ years experience being accountable for customer health and revenue realization for a defined book of business for Enterprise/High Tech customers
• Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes, bilingual in English and French
• Education: Bachelor’s degree in Computer Science, STEM, or equivalent technical work experience.

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 over 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: 1273399040

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in Paris for our hybrid working model.

About The Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize  deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs 

What you will bring to the table

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful 
• Fluency in French and English 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus
  

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: 425599

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

About the job

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

About The Role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in Paris for our hybrid working model.

About The Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize  deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs 

What you will bring to the table

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful 
• Fluency in French and English 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus
  

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: 425601

🚀 About the Team

🎯 Your Mission

✏️ Your Responsibilities

DevSecOps Strategy & Roadmap

• Assess the current DevSecOps maturity and define a clear roadmap in coordination with the Architecture Committee.
• Prioritize actions using a global risk-based approach — not only security risk — adapted to Wakam’s context.
• Define performance and reliability metrics for security processes.

Team Support & Enablement

• Support development and operations teams on day-to-day security topics.
• Put business and technical risks into perspective to help teams make informed decisions.
• Train and raise awareness among teams on security best practices, including secure coding, threat modeling, and related practices.
• Help build a sustainable DevSecOps culture across the organization.

Shift-Left Security

• Integrate SAST, DAST, and SCA tests directly into CI/CD pipelines with optimized response times.
• Design and deploy fast, reliable, parallelized security test suites with immediate feedback for developers.
• Document data flows and model attack surfaces from the design phase.

Automation & Tooling

• Deploy and configure static and dynamic analysis tools such as SonarQube, Trivy, Snyk, OWASP ZAP, and similar solutions.
• Orchestrate secure deployments through CI/CD pipelines, including automatic rollback mechanisms and multi-level validation.
• Develop custom automation tools when market solutions do not fully meet Wakam’s needs.

Versioning & Configuration Management

• Implement Infrastructure as Code (IaC) with embedded security controls using tools such as Terraform and Ansible.
• Ensure full versioning of code, infrastructure, configurations, and security policies.
• Manage secrets and certificates through dedicated solutions such as HashiCorp Vault or equivalent tools.

Monitoring & Incident Management

• Deploy and maintain security monitoring tools, including SIEM, alerting, and monitoring solutions.
• Automate anomaly detection and incident response through SOAR and automated runbooks.
• Actively contribute to the management and resolution of security incidents.

Workplace Environment Security Support

• Provide technical support to the team managing the workplace environment, including Microsoft 365, Exchange Online, and SharePoint, on security and monitoring topics.
• Contribute to integrating collaborative tools into global security policies, including authentication, conditional access, DLP, and SIEM alerts.
• Help automate recurring administration tasks and implement alerts for abnormal behaviours.

Technology Watch & Continuous Improvement

• Maintain active monitoring of DevSecOps trends, new threats, and emerging practices.
• Evaluate and integrate relevant technologies for Wakam’s environment.
• Share best practices and lessons learned internally and within the DevSecOps community.

✨ Who You Are

• 7+ years of experience in software engineering and/or operations.
• A solid development background, either as a Developer or DevOps profile.
• Strong hands-on experience in application security and infrastructure security.
• A good understanding of cloud-based production environments.
• Experience with Security Operations / SOC is a plus.

Technical Skills

• DevOps & Automation: CI/CD, Azure DevOps, GitHub Actions
• Containers: Docker, Kubernetes
• Infrastructure as Code: Terraform, Ansible
• Cloud Platforms: Azure, AWS
• Scripting: Python, Bash, PowerShell
• Application Security: OWASP, secure coding practices
• Security Tools: SAST, DAST, SCA, vulnerability scanning

Security Expertise

• Knowledge of security protocols and cryptography.
• Familiarity with compliance frameworks and standards.
• Experience using vulnerability scanning and mitigation tools.
• Strong infrastructure security practices.

🧠 What You Bring

• Strong mentoring, influence, and support skills.
• Excellent communication skills, with the ability to explain technical risks and concepts clearly.
• Proven technical leadership and change management capabilities.
• High autonomy and a proactive, solution-focused mindset.
• A 360° vision, with the ability to balance security, business, and technology needs.
• Adaptability and comfort working in a transforming environment.

🌟 Why Join Wakam?

• Being at the heart of tech-led transformation.
• Collaborating with passionate experts across disciplines.
• Joining a culture that promotes ownership, agility, and innovation.
• Benefiting from flexible working arrangements — hybrid or fully remote within the UK.

🏆 Hiring Process

1. Interview with our Talent Acquisition Partner
2. Manager interview with our Head of Information Security
3. Case study with the Digital Team
4. HRBP interview

AI-Assisted Interview Process Policy | Notion

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

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. 

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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. 

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.

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

 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.

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

• 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).

Join a team of passionate and hardworking entrepreneurs to transform healthcare! 

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with engineering, design, and business teams.

Doctolib is looking for a Senior Site Reliability Engineer to keep Doctolib production database systems running smoothly. You will also be a key-player to support the exponential growth of Doctolib services.

What you will do

You will join a team of developers, DBA and SRE responsible for:

• Improving and protecting the health of our datastores,
• Empowering the whole tech teams to use our datastores in the most efficient way,
• Collaborating everyday with our Database Architects, Principal Engineers and Site Reliability Engineers from other teams.

As a Senior Site Reliability Engineer in our Doctolib Database Optimization team, you will play a critical role in ensuring the reliability, availability, and performance of our databases. You will:

Design, build and maintain core infrastructure databases that allow Doctolib scaling to support hundreds of thousands of concurrent users.

• Automate deployment, scaling, and maintenance of databases to enhance system reliability and operational efficiency,
• Implement and improve monitoring, alerting, and incident response processes to identify and address potential issues before they impact both practitioners and patients,
• Provide documentation and tooling to empower the feature teams in their use of their databases, while ensuring their reliability,
• Mitigate production database issues during working hours when the issue cannot be fixed by the responsible feature team,
• Research and evaluate new technologies, tools, and best practices to continuously improve the reliability and availability of our systems and processes.  

Who you are

Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!

• Have a strong hands-on experience (6y+) on a production platform, if possible at scale,
• Have proven experience with cloud platforms such as AWS, Azure or Google Cloud, 
• Have proven experience with datastores such as PostgreSQL and/or Kafka and/or Couchbase,
• Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes),
• Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and understanding of infrastructure as code principles,
• Are fluent in English.

Now, it would be fantastic if you:

• Have an experience with monitoring and observability tools,
• Like troubleshooting performance issues in complex environments.

What we offer

• Free Health Insurance for you
• Up to 14 days of RTT
• A flexible workplace policy offering both hybrid and office-based modes
• Flexibility days allowing to work in EU countries and the UK 10 days per year
• Wellbeing program with free mental health and coaching through moka.care
• Special support package for caregivers and workers with disabilities
• Lunch voucher with Swile card
• Work Council subsidy for sport club membership or creative activities
• Bicycle subsidy
• Public transportation reimbursement
• Relocation support for international mobility

The interview process 

• Recruiter Interview
• SRE Technical interview
• System Design Interview
• Behavioral interview
• Reference Check
• Offer!

Job details

• Contract: Permanent position
• Workplace: Nantes
• Start date: As soon as possible
• Remuneration: Competitive salary package according to your profile
  
  

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.

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

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 

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.

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.

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 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.

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.

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 une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven, dont la mission est d’accélérer l'adoption de l'IA pour un impact positif sur les individus et les organisations.

Pionnière dans son domaine, à partir des données et de technologies avancées d’intelligence artificielle, les équipes de consultants métiers et d’ingénieurs travaillent ensemble pour développer des solutions qui créent de l’impact business et améliorent la productivité sur l’ensemble de la chaîne de valeur des entreprises, et ce dans le respect d’un usage éthique et responsable de la data.  

Alliant le meilleur de l’expertise technologique et de l’excellence opérationnelle, Artefact accompagne plus de 1000 sociétés dans le monde pour accélérer leur transformation business, dont plus de 300 entreprises internationales telles qu’Orange, Samsung, L’Oréal ou encore Sanofi. Ses 1700 experts répartis dans 27 bureaux à travers le monde, interviennent dans tous les secteurs clés de l’économie : industrie, retail, luxe, grande consommation, santé, finance, etc…

En tant que stagiaire Ingénieur Logiciel chez Artefact, tu seras intégré(e) au sein d'une équipe de développement et tu participeras activement à la conception et à l'implémentation de solutions techniques robustes et scalables. Sous la supervision de ton tuteur, tes missions seront les suivantes :

• Architecture logicielle : Contribuer à la réflexion sur l'architecture de nos applications, en veillant à la performance et à la maintenabilité du code
• Déploiement et opérations (DevOps) :  automatisation des tests et des déploiements cloud avec des pipelines CI/CD et une infrastructure en tant que code (ex : Terraform), packaging d'applications dans des conteneurs (ex : Docker), implémentation d'outils d'observabilité des données (ex : DBT)
• Déploiement de ton logiciel sur le cloud : GCP, AWS ou Azure  
• Déploiement d’une ou plusieurs expertises techniques suivantes : développement logiciel, ingénierie analytique, ingénierie ML, architecture cloud ou ingénierie de sécurité et de fiabilité des sites 
• Veille technologique : Explorer de nouvelles technologies et outils pour optimiser nos méthodes de travail.

Profil recherché

• Formation : Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une spécialisation en génie logiciel, informatique, ou développement web et tu recherches ton stage de fin d’études à partir de Janvier 2026
• Compétences techniques :
• Maîtrise d'un ou plusieurs langages de programmation comme Python, Java, JavaScript (Node.js), Go ou Scala.
• Connaissance des principes de la programmation orientée objet et/ou de la programmation fonctionnelle.
• Expérience avec des bases de données SQL ou NoSQL.
• Une familiarité avec le Cloud (GCP, AWS, Azure) et les conteneurs (Docker, Kubernetes) est un atout.
• Connaissance des outils de versioning, en particulier Git.
• Qualités personnelles :
• Curiosité et proactivité : Tu as envie d'apprendre et de proposer de nouvelles idées.
• Rigueur et souci du détail : Tu es soucieux(se) de produire un code propre et de qualité.
• Esprit d'équipe : Tu es capable de travailler en collaboration et d'échanger avec des profils variés (Data Scientists, Consultants, etc.)
• Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux 

Le processus de recrutement : pour rejoindre Artefact, nous te proposons un processus de recrutement en quatre étapes durant lequel tu auras l’occasion de parler de ton expérience et d'en apprendre davantage sur Artefact et le poste d'ingénieur logiciel.

• Entretien RH
• Entretien #1 – Test de codage avec un Senior Software Engineer 
• Entretien #2 - Test d'architecture et de pipeline avec un Senior Software Engineer 
• Entretien #3 - Entretien de motivation avec le Directeur du pôle Data Engineering 

Processus d'onboarding : 

L'intégration comprend une formation sur des compétences transversales critiques telles que la gestion du temps, la communication orale et écrite. Un mentor te sera également attribué qui te guidera dans ta familiarisation avec la culture et les méthodes de travail de l'entreprise. De plus, tu auras l'opportunité de travailler sur des projets internes pour acquérir une expérience pratique et perfectionner tes compétences. De plus, tu auras la possibilité d'obtenir des certifications sur les fournisseurs cloud avant de travailler sur des missions clients. Ce processus d'intégration est conçu pour te doter des connaissances et des compétences nécessaires pour devenir un ingénieur logiciel performant chez Artefact.

Ce que nous offrons

• Un stage de 6 mois basé à Paris.
• Un environnement de travail stimulant, où tu seras encouragé(e) à prendre des initiatives.
• Un accompagnement par un mentor expérimenté pour te faire progresser rapidement.
• L'opportunité de travailler sur des projets variés et complexes.
• La possibilité d'être embauché(e) en CDI à la fin du stage.

Prêt à rejoindre l'aventure ?

Si tu te reconnais dans cette description et que tu souhaites mettre tes compétences au service de projets concrets et impactants, envoie-nous ta candidature !

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.

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 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.

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.

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.

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.