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.

We are looking for a Sr. Technical Success Manager to join our Customer Success Organization. This is a Paris based role, reporting to the Manager of Technical Success Management. You will guide customers through their Zero Trust journey as the central post-sales point of contact, helping customers adopt and maximize Zscaler's solutions to secure their digital transformation objectives. Your role centers on providing expert advice, building relationships, and ensuring successful solution adoption for our public sector partners.

What you’ll do (Role Expectations)

• Build and nurture relationships with key customer stakeholders and operational service owners to define and prioritize the strategic alignment between customer objectives and Zscaler goals

• Offer technical guidance, product insights, and best practices to develop customized strategies for the integration and operationalization of Zscaler solutions

• Provide technical expertise and organizational leadership to manage complex escalations and coordinate resolutions with internal and external teams

• Work proactively to identify adoption insights, develop risk mitigation plans, and partner with Zscaler teams to ensure long-term customer success

• Participate in the creation and sharing of intellectual capital, including best practice guides and playbooks, to strengthen the Customer Success team’s collective impact

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience in a customer-facing role such as Solutions Delivery, Customer Success Management, Technical Account Management, or Sales Engineering

• 5+ years of experience in Cloud Services Architectures, Web-based Security, Networking, or Infrastructure Solutions

• Strong communication and presentation skills with the ability to influence internal and external decisions

• Strong technical acumen with the ability to align customer business challenges to the Zscaler portfolio for desired business and security outcomes

• Proven ability to analyze customer data to gain key insights and develop tailored adoption strategies and risk mitigation plans

What Will Make You Stand Out (Preferred Qualifications)

• Deep background in Cloud and Networking Security technologies such as SD-WAN, MPLS, SWG, DLP, VPNs, and CASB

• Comprehensive understanding of industry-specific workflows and operational processes to optimize security and efficiency

• Relevant industry certifications such as CISSP, CCNP, CCIE, or Network+, or certifications from cloud providers such as AWS, Google, or Microsoft

#LI- Hybrid #LI-MP1

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will join our Research Platform team as an integral member, contributing to the development and evolution of our next-generation research platform which enables researchers to design, test, and deploy highly complex quantitative strategies. Our team collaborates closely with business stakeholders to solve challenging problems that directly impact quantitative research at scale. . This team is central to our business success, supporting distributed computation, large-scale backtesting, and rapid experimentation. Our primary language is Python and we operate in an ecosystem that increasingly utilizes Rust. 

Your future role at QRT:

• Developing user-friendly APIs for Research use
• Designing and developing a scalable, robust platform for quantitative research
• Writing automated tests and maintaining high code quality
• Integrating Research Workflows with Strategy Deployment and Production
• Developing reusable libraries and APIs
• Collaborating with researchers and engineering teams to propose and implement new framework features

Your present skillset:

• Experience and knowledge in distributed systems and large-scale data processing
• Proficiency in Python and research-oriented APIs
• Familiarity with Rust is helpful, but not required
• Understanding of parallel computation
• Knowledge of testing within continuous delivery and integration pipelines
• Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
• Familiarity with cloud technologies (AWS preferred)
• Experience in financial data or quantitative development is advantageous but not essential.
• Fluency in English

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

As a Software Engineer – ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle.

Your future role within QRT:

• Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines.
• Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling).
• Build and improve automation around packaging, configuration, and environment reproducibility.
• Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments.
• Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability.
• Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed.
• Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability.
• Create and maintain detailed documentation of system architecture, deployment processes, configurations, and support procedures.
• Stay updated with the latest technologies and best practices in software development, DevOps, and production operations.

Your present skill set:

• Proficiency in Python and strong knowledge of software engineering best practices (testing, code review, design, maintainability).
• Strong experience in software development, system integration, and automation.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their integration services.
• Strong understanding of IT infrastructure, networking, and security principles.
• Experience with DevOps practices and tools (CI/CD pipelines, Docker, Kubernetes).
• Solid understanding of production operations: monitoring/alerting, incident troubleshooting, performance tuning, and reliability practices.
• Knowledge of data management and database systems.
• Excellent problem-solving abilities and a proactive mindset.
• Strong written and oral communication (English and French), able to explain complex issues to non-technical users.
• Independent and collaborative team worker.
• Passionate about technology and its potential to transform industries and user experiences.
• Enjoys working in a collaborative environment and building relationships with team members.
• Organized, detail-oriented, and committed to delivering high-quality solutions.
• Flexible and adaptable, able to handle the dynamic nature of project requirements and timelines.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

• Collaborate closely with quantitative traders to design and build systematic, data-driven trading strategies
• Develop and maintain real-time tools used to compute indicators that drive these strategies

• Strong experience delivering production-quality Python applications
• Hands-on production experience in C# or a similar language (C / C++ / Java)
• Proven experience building, deploying, and supporting production systems
• Ability to manage priorities effectively and work collaboratively in a fast-paced environment
• Excellent communication and interpersonal skills

• Previous experience in finance, particularly within a hedge fund environment
• Exposure to a technical leadership or architectural role
• Knowledge of AWS or a comparable cloud platform
• Experience building dashboards or working with data visualization tools

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your Future Role within QRT:

As a DevOps Engineer, you will be responsible for designing, building and maintaining scalable and efficient infrastructure for our research and trading systems. You will collaborate closely with our developers and quant researchers to ensure seamless deployment and data flow while improving automation across our environments.

Your responsibilities will include:

• Designing, implementing and maintaining CI/CD pipelines for automated deployment and testing.
• Managing and optimizing AWS cloud infrastructure, with a focus on EKS for container orchestration.
• Building and maintaining data pipelines to support real-time and batch processing needs.
• Ensuring system reliability, monitoring and performance optimization.
• Implementing security best practices across infrastructure and deployments.
• Collaborating with development teams to improve automation and system integration.
• Working closely with teams across QRT’s global offices, including in Europe, London, Hong Kong, Singapore, Dubai and other locations, to ensure seamless collaboration on infrastructure and deployment initiatives.

Your Present Skillset:

• Strong experience in DevOps & automation, with a focus on cloud and containerized environments.
• Expertise in AWS, including services like EC2, S3, RDS, Lambda and EKS.
• Hands-on experience with Kubernetes for deploying and managing workloads.
• Proficiency in CI/CD tools such as GitLab CI, ArgoCD, Flux CD or similar.
• Experience with data pipelines and ETL workflows, including tools like Airflow, Kafka or AWS StepFunction.
• Infrastructure as Code (IaC) experience using Terraform
• Strong scripting abilities in Bash, Python or similar languages.
• Monitoring & logging tools such as Prometheus, Grafana or AWS CloudWatch.
• A problem-solving mindset and ability to work in a fast-paced environment.
• A collaborative approach, working closely with developers, quants and IT teams.
• Strong communication skills in English (French is a plus but not required).
• A passion for automation, efficiency and continuous improvement.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Your future role within QRT:

• Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring.
• Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT 

• Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT. 
• Contributing into software and infrastructure design and implementation in AWS cloud environment. 
• Developing data pipelines in Python using data libraries and cloud SDKs. 
• Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. 
• Optimizing performance of the data lake as well as OLAP databases in cross-region environment. 
• Ensuring data completeness and quality across critical pipelines. 
• Build and support tailored data solutions for Quants and Traders. 

Your present skillset 

• 5+ year of experience and proven track record of building data platforms. 
• Python and SQL mastery are essential. C++ is a big plus. 
• Appetite to contribute into cloud infrastructure. 
• Ability to build a structured approach to problem-solving. 
• Independent and autonomous while still a strong team player. 
• Intellectual curiosity to learn rapidly. 
• Finance experience is highly desirable.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration.

We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site, with a strong focus on ensuring the reliability and scalability of our production data infrastructure.

Your future role within QRT:

This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms.

Your responsibilities will include:

• Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.)
• Designing and operating database clusters on Kubernetes (via operators)
• Building and maintaining data pipelines (ingestion, transformation, replication)
• Driving Infrastructure-as-Code practices (Terraform, Helm)
• Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS)
• Managing Docker images and CI/CD workflows for data services
• Defining and maintaining AWS IAM policies and permissions
• Troubleshooting across the stack (databases, OS, storage, networking)
• Implementing observability (metrics, alerting, capacity planning)
• Collaborating with engineering, data, and research teams

Your present skillset:

• 5+ years in DevOps, Data Platform Engineering, or similar
• Experience with distributed data systems in production (e.g. ClickHouse, Trino, EMR)
• Strong Kubernetes experience (stateful workloads, Helm, operators)
• Solid Infrastructure-as-Code experience (Terraform, Helm, etc.)
• Good knowledge of AWS data ecosystem (S3, EKS, EMR, MSK, RDS)
• Strong understanding of AWS IAM and security best practices
• Hands-on experience with Docker and CI/CD pipelines
• Experience with data pipelines (Kafka, Spark, Airflow, etc.)
• Strong Linux fundamentals and scripting (Python and/or Bash)
• Understanding of database reliability (replication, backups, failover)

Nice to have:

• OLAP / high-throughput systems experience
• Experience with VAST Data or similar storage systems
• Familiarity with Iceberg, Delta Lake or Hudi
• Observability tools (Prometheus, Grafana, OpenTelemetry)
• GitOps tools (ArgoCD, Flux)
• CKA or strong Kubernetes expertise
• Programming in Go, Rust, or Python
• Knowledge of Parquet/Arrow and query engines
• AWS certifications

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. We are a technology and data-driven organization applying a scientific approach to investing. The combination of data, research, technology, and trading expertise shapes our collaborative mindset and enables us to solve complex challenges. Our culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Cloud Security function, working closely with Infrastructure Engineering, Platform, DevOps, and Risk teams to design and deliver strategic security enhancements across our AWS environment. This is a highly engineering-focused role, driving forward-looking cloud security initiatives including architectural improvements, automation, control uplift, and continuous maturity enhancement. You will operate in a high-performance, technology-driven investment environment where scalable, secure, and automated cloud infrastructure is critical to business success.

Your future role within QRT:

• Design and implement secure AWS architectures aligned with security best practices and internal control frameworks.
• Engineer and enhance IAM frameworks, including permission boundaries and least-privilege access models.
• Develop and maintain Service Control Policies (SCPs) and account-level governance guardrails.
• Build and automate security baselines across AWS environments.
• Design and implement infrastructure security controls using Infrastructure as Code (Terraform or CloudFormation).
• Engineer scalable encryption and key management solutions leveraging AWS KMS.
• Drive automation of security controls, compliance validation, and remediation workflows.
• Partner with DevOps and Platform teams to embed security into CI/CD pipelines and infrastructure design.
• Lead technical security uplift initiatives across CSPM, CWNP, and broader cloud security domains.
• Contribute to long-term cloud security strategy and architectural roadmaps.

Your present skillset:

• Minimum 5 years of industry experience in cloud security, infrastructure security, or related engineering roles.
• Strong hands-on experience engineering security solutions in AWS environments.
• Deep knowledge of IAM, SCPs, account governance, and AWS organizational design.
• Proven experience designing secure cloud architectures in complex, large-scale environments.
• Expertise with Infrastructure as Code tools such as Terraform or CloudFormation.
• Experience implementing and maintaining industry-standard CSPM solutions.
• Strong understanding of encryption, key management, and cloud data protection principles.
• Ability to build automation frameworks using Python or similar scripting languages.
• Experience operating in security-sensitive or regulated environments.
• Strong analytical skills with the ability to translate security requirements into scalable engineering solutions.
• Collaborative mindset with the ability to work cross-functionally in a fast-paced, high-performance environment.

QRT is an equal opportunity employer. We view diversity as essential to our success and foster an open, respectful environment where collaboration drives collective achievement. Alongside professional growth, we provide initiatives that support a healthy and sustainable work-life balance.

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 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

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

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

🚀 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

REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE

Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.

L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.

Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.

MACHINE LEARNING ENGINEER - ALTERNANCE

Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.

Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.

Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.

TES MISSIONS

Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.

Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.

• Tu contribueras aux projets existants comme tous les membres de l’équipe.
• Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
• Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
• Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
• Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.

Tu auras l’opportunité de :

• Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
• Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
• Expliquer l’utilisation de la data et sa valeur ajoutée.

TON ENVIRONNEMENT TECHNIQUE

• Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
• Cloud & Infra : AWS, GCP, Databricks
• MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
• DevOps & Tools : GitHub Actions, Git, Docker, API
• Méthodologie : Agile

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

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. 

Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake.
Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data.

Rejoignez-nous, épanouissez-vous

Vos missions : 

- Développement de pipelines ETL/ELT avec Airflow, Python, SQL
- Connexion aux bases sources (Exadata, Oracle, etc.)
- Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...)
- Nettoyage, mapping, déduplication et enrichissement des données
- Collaboration avec les ’architectes pour appliquer les modèles cibles
- Documentation technique et référentiels
- Concevoir et mettre en œuvre les flux de réplication
- Harmoniser et transformer les données
- Automatiser les pipelines de données
- Développer des Pipelines Gitlab CI/CD
- Développer d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python.
- Contribuer au FinOps

Vous êtes le bon candidat si :

- Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifique
- Très bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…)
- Très bonne maîtrise des bases des données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.)
- Maitrise des langages : SQL, Python
- Maîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL)
- Bonne expérience en Terraform pour l’IaC
- Connaissance de GitLab CI/CD pour l’automatisation des déploiements
- Expérience avec des CRM
- Connaissance des problématiques de data quality, modélisation, monitoring et alerting
- Expérience  : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements dans un environnement similaire
- Une ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciées
- Langues : Maîtrise de l'anglais courant

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 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 de la charte éthique CAPFI.

Notre processus de recrutement :

1 Nous apprenons à nous connaître lors d’un premier entretien téléphonique puis une visio

2 Si vous avez le feeling et que nous aussi, vous réalisez un test technique via la plateforme CodinGame

3 Débrief des résultats de votre test avec un consultant CAPFI

4 Kick off : nous vous proposons une offre de collaboration et nous en discutons ensemble

5 Vous embarquez pour une session d’onboarding : bienvenue dans la famille CAPFI !

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%) 

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.

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.

The Opportunity

We are looking for a meticulous and detail-oriented Biology Data Quality Engineer to ensure the integrity and usability of the various and complex datasets that are central to our mission. In this critical role, you'll leverage your expertise in biology, data science, and machine learning to ensure the quality and consistency of biological data used to train and evaluate our foundation models. You'll work in collaboration with the R&D team and our engineers, using your skills to ensure our data meets the highest standards.

What You'll Be Doing

As a Biology Data Quality Engineer, you will own the following tasks:

• Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical). Ensure data integrity, consistency, and accuracy through rigorous quality checks. Design and implement automated data quality pipelines to streamline data validation and identify potential issues early in the data processing workflow.
• Data Curation & Standardization: Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types. Curate datasets to enhance their usability for machine learning.
• Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns. Communicate data quality findings and recommendations effectively to technical and non-technical stakeholders. Communicate and synchronize with external data providers.
• Documentation & Reporting: Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications. Generate regular reports on data quality metrics and trends.
• Data Source Evaluation: Evaluate and validate external public data sources, ensuring they meet our quality standards and are suitable for inclusion in our foundation model training.
• Continuous Improvement: Stay up-to-date with the latest data quality best practices and tools in the biological domain. Propose and implement improvements to our data- quality assessment processes and pipelines.

What You'll Bring

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring strong domain expertise in biology alongside strong computational, hands-on skills.

• Omics Data Expertise. Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
• Data Quality Management: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
• Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.
• Programming & Data Analysis: Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib).
• Communication Skills: Excellent written and verbal communication skills to effectively convey data quality findings and recommendations.
• Educational Background: MSc in Biology, Computational Biology, Bioinformatics.

How to Stand Out:

• Computational Pathology Data Expertise: Experience in machine learning analysis of histology images.
• Cloud expertise: Experience working with AWS.
• Data Annotation Experience: Experience with developing and implementing data annotation guidelines and processes. Experience with data ontologies.
• Proven experience building or contributing to large-scale data collections (e.g. Human Cell Atlas).
• Spatial alignment of multimodal datasets (e.g. alignment between different imaging modalities)

The Candidate Journey

To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.
2. Technical Assessment: Given the technical nature of the role, you will be expected to complete a short set of Python exercises in a dedicated platform to assess your proficiency.
3. Interviews:
   • Data Curation Project: The hiring team will have an introductory call with you to share expectations for the role and to provide you with a Data Curation assignment. This assignment covers one or more key data modalities and consists of the submission of Python code and a detailed report about your work. You will get to present your work to the team, and have an interview to explore your knowledge on data modalities and relevant technical artefacts.
   • Team Fit: The hiring team will have a call with you to discuss your motivations, expectations for the role, and an overall Q&A based on your CV and previous experiences.
4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you.
5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus.

Why This is a Unique Opportunity

• Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
• Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
• Work in a collaborative, innovation-driven environment with top researchers and industry experts.
  
  

The Team You'll Join

You'll be part of our Security team within the GRC (Governance, Risk & Compliance) pillar, led by Maxime Lahaye, Senior Security Officer, based in Paris. Together, you'll be ensuring Mirakl's adherence to security standards and regulations while shaping the future of compliance in an AI-driven world.

AI is fundamentally transforming how we work, and you'll join an established team that's at the forefront of this evolution. This is your opportunity to participate in building the GRC infrastructure of tomorrow—where automation, intelligence, and security converge to enable Mirakl's next phase of growth.

Location: Paris (1 day remote per week)

Your Impact

1 · Compliance & certifications — automated

• Contribute to driving and maintaining Mirakl's ISO 27001, ISO 27018, and SOC 2 certifications, leveraging automated GRC platforms to enable continuous compliance monitoring and reduce manual effort
• Help manage and evolve the ISMS (Information Security Management System), ensuring it reflects both regulatory requirements and Mirakl's evolving AI-driven operations
• Automate evidence collection, control monitoring, and documentation workflows using modern GRC tooling and AI-powered agents

2 · AI Governance — to build with the team

• Working closely with your manager and the Security team, co-design and evolve Mirakl's AI usage governance framework: acceptable use policies, data classification for AI inputs, shadow AI detection, and AI vendor risk assessment
• Maintain a live inventory of AI tools used across the company and contribute to the risk-based process for evaluating and onboarding new tools
• Participate in internal awareness and training initiatives on responsible AI use across all departments
• Monitor the AI governance regulatory landscape and help adapt Mirakl's framework proactively

3 · Security by design across all company projects

• Partner with Product and Engineering teams early in project lifecycles — whether AI-powered or not — to embed security and compliance requirements from the start
• Participate in risk reviews across all types of product and platform initiatives, with specific attention to AI-related threat vectors where applicable (prompt injection, data leakage in LLMs, access control for models)

What You'll Bring to the Role

Experience:

• Master's degree (Bac +5)
• Minimum 3 years of experience in GRC security
• Experience in a consulting firm, technology company, or equivalent role is a plus
• Strong understanding of compliance frameworks and security standards
• Scripting/developing experience

Skills:

• Proactive and autonomous with strong organizational and problem-solving abilities
• Excellent communication and pedagogy skills to influence technical and non-technical stakeholders
• Integrity and ethics as core values
• Ability to work collaboratively in extended teams
• Experience with web application and cloud (SaaS) security, as well as professional certifications (CISM, CISSP, ISO), are a plus.

Tools Used

• Drata
• AWS, GCP
• N8N
• Python
• Office Suite / Google Workspace

Languages

• Fluent in French and conversational English

Our Hiring Process

1. 30-45 minute call with a Talent Acquisition Specialist
2. 1-hour technical interview with the hiring manager
3. Two 45-minute values interviews using the STAR methodology

The STAR method and structured interviews will hold no secrets for you.

About the Role

As Regional Alliance Manager for France, you will be responsible for building and driving Veeam's strategic alliances in the French market. You will focus primarily on Microsoft, HPE and Red Hat,  three alliances with significant footprint in France, while also managing the Nutanix EMEA Alliance from your location. You will coordinate with the EMEA Alliances team and work hand-in-hand with Veeam France's sales, pre-sales, marketing and channel teams to generate pipeline and accelerate revenue. 

Veeam's strategic alliance portfolio includes: Microsoft, AWS, HPE, Red Hat, Nutanix, Lenovo, EverPure and Hitachi Vantara.. 

The ideal candidate must be based in Paris or the Île-de-France region.

What You’ll Do

• Drive alliance partner awareness of Veeam to generate joint pipeline and accelerate sales 
• Enable business expansion around joint workloads, joint offer, field enablement, marketing, support and demand generation 
• Accelerate direct sales collaboration, especially on the enterprise segment, and track closure of leads and deals 
• Partner with EMEA Alliance Marketing and Veeam France Marketing to create initiatives driving opportunity generation, product evaluations and sales 
• Enable joint channel programmes to broaden reach and accelerate the sales cycle, targeting enterprise customers and prospects 
• Define, manage and execute programmatic alliance interactions that can be replicated across the alliance portfolio 
• Leverage and localise initiatives developed by Veeam Global and EMEA Alliance teams 
• Work closely with France and EMEA sales, pre-sales, marketing and channel teams to achieve joint goals 
• Manage the Pure Storage EMEA Alliance from France, in coordination with the EMEA Alliance lead 
• Navigate the French IT distribution ecosystem (Arrow, TD Synnex) and system integrators (Accenture, TCS, Kyndryl, Capgemini, Atos, Sopra Steria) 
• Understand French procurement cycles, both public sector (SecNumCloud, HDS compliance) and private enterprise 
• Travel frequently across France and occasionally across EMEA 

What You’ll Bring

• Deep knowledge of at least one of our strategic alliances is mandatory Microsoft, HPE, Red Hat and/or Nutanix preferred; prior experience as an Alliance Manager is strongly desirable 
• Demonstrated experience creating and driving a sales pipeline, directly or through channel 
• Understanding of marketing fundamentals from strategic to tactical 
• Experience in a leading enterprise software company in an alliances or channel role 
• Strong interpersonal skills and ability to motivate external teams towards a common goal 
• Excellent written, oral and presentation skills; strong influencing and negotiation abilities 
• Creative approach to local partnerships and co-marketing 
• General business acumen; MBA a plus 
• Results-driven, hands-on attitude. Willing to roll up sleeves and focus on detail while also engaging at a strategic level 
• Native or bilingual French; fluent English, both written and spoken 

What You’ll Get 

• A collaborative, high-performance EMEA Alliances team covering 8 strategic partnerships 
• Direct exposure to Veeam's top strategic partners at a regional and EMEA level 
• Opportunity to shape the alliance strategy for one of the most important markets in EMEA 
• 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
• 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-JB1

About the Role:  

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

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

What You’ll Do: 

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

What You’ll Bring: 

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

What You’ll Get:

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

#LI-DF1 #LI-REMOTE

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

THE BEST WORK OF YOUR CAREER 

Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we’re striving for more.
We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU’LL BE DOING

● Contribute to backend services using modern JVM technologies (Kotlin, Java,
Spring)
● Support the design and development of scalable, reliable systems
● Work with APIs, databases and service-oriented architectures
● Learn how to write clean, maintainable and well-tested code
● Collaborate with Product and Engineering to deliver user-facing features
● Gain exposure to cloud infrastructure (AWS), containerisation and CI/CD pipelines
● Assist in debugging, monitoring and improving system performance
● Gradually take ownership of well-scoped technical projects

You’ll learn how backend systems are built, deployed and scaled in a real production environment.

WHAT WE LOOK FOR

● Bachelor’s or Master’s degree in Computer Science or a related field
● Strong foundations in programming (Java, Kotlin, or similar)
● Understanding of core computer science concepts (data structures, algorithms,
APIs)
● Exposure to backend development through projects, internships or coursework
● Curiosity about distributed systems, scalability and system design
● Fluent English (written and spoken) — all communication and collaboration is
conducted in English
● Structured thinking and attention to detail
● Strong communication skills and willingness to learn in a fast-paced environment

WHY YOU SHOULD APPLY

This programme is designed to turn strong engineering foundations into real-world impact. You’ll gain hands-on experience building systems that serve millions of users, while being mentored by experienced engineers in a high-performance environment.

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

The Partnerships & Alliances team is the connective tissue between Dataiku and the broader AI ecosystem — Global Systems Integrators (Accenture, Deloitte, PwC, Capgemini), Regional Systems Integrators, and Tech Alliances (AWS, Microsoft, Google, Snowflake, Databricks, Nvidia). While our Partner Sales Managers (PSMs) act as the strategic advisors to the field, we're seeking a Partner Sales Manager Intern to be the operational engine that powers everything behind the scenes.

In this role, you'll help architect the visibility of partner engagement and ensure our internal sales teams (AEs, SEs, CSMs) have the resources, data, and communications they need to work effectively with our partner ecosystem. You'll gain hands-on exposure to enterprise partnerships, GTM operations, and the inner workings of a fast-scaling AI company.

How You'll Make an Impact

Communication & Brand Advocacy

• Lead the end-to-end creation and distribution of a Quarterly Partner Newsletter, tailored for two distinct audiences: an internal edition highlighting KPIs and team wins for stakeholders, and an external edition showcasing successes and metrics to strengthen partner trust.
• Draft and finalise quarterly "Win Wires" — strategic success stories celebrating major deal closures and partnership milestones across the organisation.
• Track, gather, and synthesise data (KPIs, deal progress, sourced/influenced GNARR) to fuel reporting and ecosystem visibility.

Partner Onboarding & Lifecycle Management

• Own and streamline the end-to-end partner onboarding journey, from contract setup in Ironclad through to first certification.
• Ensure partner data (tiers, regions, specialisations) is accurately reflected across Salesforce and Ironclad.
• Equip new partners with timely access to the partner portal, training, and tools they need to ramp quickly.

Operational Excellence

• Maintain dedicated Hyperscaler portals (AWS, Microsoft, Google) to ensure real-time visibility into shared opportunities, pipeline, and joint initiatives.
• Keep the Partner Capability Matrix and onboarding documentation current with new product offerings, service updates, and team announcements.
• Provide administrative support for partner event preparation and post-event follow-up in collaboration with Field Marketing and PSMs.
• Help synthesise feedback from Customer Success teams on partner performance to feed into business reviews.

What You'll Learn

• Ecosystem Strategy: How world-class enterprise software companies build, manage, and scale partnerships with GSIs, RSIs, and Hyperscalers.
• GTM Operations: Hands-on experience with the systems and processes (Salesforce, Ironclad, partner portals) that power a global partner motion.
• Cross-Functional Collaboration: Direct exposure to Partner Sales Managers, Account Executives, Sales Leadership, Field Marketing, and Partner Enablement teams.
• Mentorship & Networking: Work alongside senior Partnerships leaders and build meaningful connections across the Revenue organisation.

What You'll Bring

• Master's Degree
• Organised and detail-oriented, with a knack for making processes run smoothly and a high bar for data accuracy.
• Strong written communication skills — comfortable drafting newsletters, success stories, and partner-facing content.
• Tech-savvy and curious, quick to learn new tools (familiarity with Salesforce, Ironclad, or partner portals is a plus, but not required).
• Basic data skills — comfortable pulling reports or working with spreadsheets to track KPIs and engagement metrics.
• A proactive team player who's happy to roll up their sleeves on the admin work while keeping the bigger picture in view.
• Interest in enterprise software, AI, cloud, or the broader data ecosystem.

#LI-AS1

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

Join the Supply Chain Analytics adventure at Decathlon Digital.

At Decathlon, Analytics is a union of Data Analysts, BI Engineers, and Analytics Engineers, a team of 150 people within the Data teams, spread across various fields. If you love data and want to use it to make a difference, join us!

The Data Supply Chain, is responsible for designing, developing, and maintaining innovative analytical and AI solutions around supply chain issues such as product assortment by optimizing costs, the dispatch of our products across our network, and the visibility and availability of our products on our platforms, to name a few. 

The multidisciplinary team is composed of Data Scientists, Data Analysts, Analytics Engineers, Data PMs, and BI Engineers. It works closely with product managers and business partners using agile methodology and a state-of-the-art technical stack.

We are hiring a Senior Data Analyst (permanent contract), based in Lille or Paris.

Your mission: Collaborate, Analyze, Inform, and Drive Impact!

As a Data Analyst, you will serve as a key link between data teams and supply business teams (product managers, dispatchers, etc.), supporting them in making strategic, data-driven decisions.

YOUR RESPONSIBILITIES

You engage with business contacts and operational teams to gain a better understanding of the issues you're working on. You develop appropriate data solutions by being proactive and respecting their constraints, while maintaining a sound understanding of existing analyses and tools.

You identify the data needed for your study and ensure its quality and reliability. You perform the data cleaning and preparation prior to applying the statistical and analytical methods you choose. (Note: You respect and promote the ethical framework for the use of personal data.)

There are a variety of responsibilities :

• Analyze the performance of Decathlon's Downstream Supply Chain (Dispatch, Replenishment, Stock Positioning, Order Management)
• Support business teams and provide proactive analysis and recommendations
• Delivering impactful insights and strong recommendations to guide business decisions.
• Supporting business stakeholders in building their data skills and acting as a liaison between them and other data teams.

Your technical environment:

• Languages: SQL, Python (pandas, numpy, scikit-learn)
• BI Tools: Tableau
• Data Engineering: dbt, Databricks
• Cloud Platforms: AWS (S3, redshift), cloud provider AWS
• Versioning & DevOps: Git, CI/CD, VSCode

WHAT YOU'LL BRING

• Experience: 3+ years in Data Analysis with strong expertise in SQL and data visualization.
• Business understanding: You grasp the challenges of designing and selling physical products and know how to turn business needs into well-defined problems and actionable recommendations.
• Analytical mindset: You are strong in structuring analysis and interpreting meaningful insights.
• Collaborative spirit: You’re comfortable working in cross-functional teams (business, data, product, governance).
• Proactive & curious: You enjoy exploring new solutions and continuously improving analysis methods.
• Languages: You have professional proficiency in English

WHAT WE OFFER

• A team of sports and data enthusiasts
• Two remote working days per week
• Equipment tailored to your needs (Mac, Windows, Chromebook)
• Career development opportunities locally and internationally
• Training and technical certifications from year one
• Attractive compensation package (profit-sharing, quarterly bonuses, employee stock ownership)

If you want to shape the future of Supply Chain through data — join us!

• 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
  
  

Please note that these positions are based in London, the United Kingdom, Berlin, Germany, or Paris, France — relocation support is provided if required. 

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +4 million customers who trusted us with over 35B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

ABOUT PLATFORM ENGINEERING

Platform Engineering is the backbone of Trade Republic's engineering velocity. Our mission is to build scalable platforms for a Europe-scale bank — serving internal engineers, and building in-house control planes for managing the bank's infrastructure. We’re a ~50-person Platform team focused on one thing: enabling product engineers to move fast and operate autonomously by default.

We build self-service platforms, golden paths, and opinionated tooling so that over 400 engineers can ship with confidence. From Kubernetes fleet management and CI/CD to an internal Developer Hub built on Backstage, our work underpins every trade, savings plan, and card payment that flows through the platform.

THE CLOUD PLATFORM JOURNEY

Trade Republic's cloud infrastructure spans multiple AWS accounts across development, staging, and production environments — supporting regulated financial services across 18 European markets. Today, much of this is managed through Terraform. We're making a deliberate strategic shift: moving from declarative infrastructure-as-code toward programmable control planes — Go-based systems that use tools like Pulumi and Crossplane to continuously govern, reconcile, and automate our cloud foundations.

This isn't about running Terraform plans faster. It's about building software that manages a bank's cloud infrastructure as a product — encoding compliance, security, and cost best practices into systems that enforce the right thing by default. The patterns are already proven: our Kubernetes fleet management uses Crossplane with Sveltos, FluxCD, and ClusterAPI, and our Temporal-backed control planes already manage database and messaging operations using Pulumi. Now we need to bring this same approach to AWS account management, IAM governance, organisational structure, and networking — IAM policies, account structures, network topologies, and organisational guardrails, all governed through code that reasons about intent, detects drift, and converges autonomously.

We've gone from manually provisioned infrastructure to a platform where compute autoscales across clusters, fleet management orchestrates add-on lifecycles across environments, and infrastructure provisioning runs as self-healing workflows with cross-account automation — no human in the loop. The next frontier is bringing this same level of automation to the cloud foundations layer itself.

We also own Trade Republic's partner connectivity — the network fabric that connects us to exchanges, payment providers, and banking partners through site-to-site VPNs, AWS Direct Connect, VPC peering, transit gateways, and more. These connections are mission-critical and must be production-ready ahead of every company release.

WHAT YOU'LL BE DOING

• Build cloud control planes: Design and implement Go-based systems that programmatically manage AWS infrastructure — accounts, IAM, networking, and organisational policies — replacing manual Terraform workflows with self-healing, intent-driven automation.
• Encode governance as software: Turn compliance, security, and cost requirements into programmable guardrails that are enforced continuously, not checked after the fact — meeting the same bar of reliability and self-service that our engineers already expect from the rest of the platform.
• Own partner connectivity: Build and operate the network infrastructure that connects Trade Republic to exchanges, payment providers, and banking partners — ensuring these connections are resilient, secure, and ready ahead of every release.
• Own the platform end to end: Participate in the on-call rotation for cloud infrastructure, ensuring full end-to-end ownership of the systems you build and operate.
• Own the direction and drive it forward: Define the long-term cloud platform strategy, drive cross-team initiatives from kickoff to delivery, and align cloud infrastructure decisions with broader engineering, compliance, and cost goals.

WHAT YOU'LL SHIP IN THE FIRST 6 MONTHS

• Build control planes that integrate into Kubernetes fleet management — solving cross-account and cross-region connectivity, role management at scale, and levelling up our organisational structure.
• Continue refining cloud governance standards for IAM, account structure, and cost controls — pushing further toward enforcement through code, not process.
• Drive reliability improvements across partner connectivity — reducing manual effort, lead time, and failure modes for provisioning and managing network connections.

WHAT WE'RE LOOKING FOR

• 5+ years of experience in cloud platform engineering, infrastructure engineering, or a related SRE/systems discipline.
• We are hiring from senior to staff level, so whether you have a strong foundation and are ready for more ownership or you have been leading cloud platform strategy for large-scale systems for many years, we would love to hear from you.
• Strong programming skills in Go, with experience building infrastructure automation as software rather than scripts.
• Deep expertise with AWS — IAM, Organizations, networking (VPC, Transit Gateway, Direct Connect, VPN), and multi-account architectures.
• Experience with infrastructure-as-code tools (Terraform, Pulumi, Crossplane, or equivalent) and a clear understanding of when declarative configuration ends and programmable control planes begin.
• A track record of building systems that enforce compliance, security, and cost governance through automation rather than manual review.
• Experience with Kubernetes and cloud-native architectures in production.
• Ability to drive cross-team technical initiatives end-to-end, from ambiguous problem to shipped solution.
• Ability to contribute to architectural decisions and clearly communicate trade-offs to both engineers and leadership.
• The ability to work in a flexible hybrid setup, with 2-3 days a week in the office.

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

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.

À propos du poste

En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme.

Responsabilités

• Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes.
• Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement
• Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions.
• Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires.

Profil recherché

• Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique
• Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.
  
  

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture