Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Platform Sales team works with B2B Software Platforms to help them facilitate payments for their customers using our Stripe Connect product. Software Platforms, also known as B2B Indirect, are software platform businesses who serve other businesses. Platforms already using Stripe include Shopify, Lightspeed and Mindbody.

As a key member to the Stripe Platforms team, you will manage and elevate relationships with a named account list while identifying new growth opportunities and ways Stripe can exceed expectations. This role will be dedicated to accounts located in France.

If you’re motivated, smart, persistent, and a great teammate, we want to hear from you!

What you’ll do

As an Account Executive (New Business), you will create partnerships between Stripe and the most innovative and fastest-growing software platforms in the world by helping them to understand how Stripe’s online commerce infrastructure can make payments a competitive advantage for their businesses.

Responsibilities

• Directly manage and nurture a named account list and develop account plans for winning business with upper middle market and enterprise companies
• Build and maintain key relationships with C-level executives, while orchestrating the right executive touch points as well
• Contribute to shaping our platform partnership strategy and building repeatable processes and scaled engagement models
• Develop outbound strategies to create and nurture opportunities
• Own the full sales cycle from lead to close for upper middle market and enterprise companies
• Develop relationships with executive stakeholders
• Work with company leaders from multiple functions (e.g., Engineering, Product, and Finance) to lead complex product workshops and financial analyses
• Lead and contribute to team projects to develop and refine our sales process
• Engage with Product and Engineering teams to help drive product strategy

Who you are

You are an adept salesperson and relationship manager capable of engaging in business-level and technical conversations at multiple levels of the organization, including the CTO, COO, and CFO. You have experience working with upper middle market and enterprise companies. You have an in-depth understanding of the buyer journey and can lead a complex, multi-party sale in a highly consultative manner. You are used to building value in competitive situations and enjoy working on products that require deep product understanding, combined with technical knowledge. You are naturally analytical and enjoy digging into business models and helping customers quantify their investment decisions. You get excited about prospecting, and are capable of independently leading a sales cycle from start to finish. Finally, you enjoy building – you like to actively participate in the development of our sales process, the articulation of our value proposition, and the creation of key tools and assets.

If you’re motivated, smart, persistent, and a great teammate, we want to hear from you!

Minimum requirements

• 8+ years of sales experience, preferably selling a technical product, with a track record of top performance
• Extensive experience directly selling a technology product or service, preferably at an API-first company, with a record of top performance
• A proven track record of moving sales processes forward from inception to close by leading complex, multi-party sales in a highly consultative manner, understanding strategies and applying value proposition
• Great listening skills and ability to quickly become a trusted resource for decision-makers across technology and finance orgs within software companies
• An ability to understand complex technical problems and understand how Stripe’s solutions can address them
• A positive attitude and tireless work ethic when encountering blockers to success, whether external or internal
• Strong presentation skills
• Proven ability to lead complex negotiations involving bespoke commercial agreements
• Superior verbal and written communication skills
• Ability to operate in a highly ambiguous and fast-paced environment
• Strong interest in technology and a deep understanding of the space
• Experience in or excitement in learning about financial technology infrastructure
• Fastidious approach to CRM hygiene and experience utilizing thorough sales forecasting metrics on a weekly/quarterly basis and communicating them in a succinct manner

Preferred requirements

• Prior experience at a growth stage Internet/Software company
• Experience in fintech/payments is a plus, but not prerequisite

About The Role 

As a Technical Account Manager in our EMEA region, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.

In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.

What You’ll Do

• As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
• You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
• From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
• Provide customers with clear proactive technical guidance and expertise across all our products
• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
• Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level

What We're Looking For

• 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
• Excellent project management and communication skills
• Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, reporting tools, etc.)
• Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
• Ability to collaborate cross functionally with different teams and types of people
• Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease
• Proficiency of spoken and written English

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 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.

The global Infrastructure team designs, builds, and operates QRT’s high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide.

Your Future Role within QRT
You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT’s high-performance on-premise datacentre.

• Design and evolve the network automation framework (source of truth, templating, validation, change control).
• Build idempotent automation to provision and operate data centre fabrics at scale.
• Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.)
• Capture network intent as code, ensuring peer reviews and quality gates.
• Instrument the network with telemetry, alerting, and SLOs to drive automated remediation.
• Adhere to NetDevOps practices and share knowledge across the team.
• Collaborate with network and platform engineers to translate designs into automated workflows.
• Deliver frequent, incremental improvements through safe, tested changes.
• Monitor vendor and industry developments and propose practical adoption paths.

Your Present Skillset

• Advanced Python development for production-grade tools and services.
• Go (preferred) for performant tooling.
• Strong Ansible experience (roles, collections, YAML/JSON data models).
• Git proficiency including branching, pull requests, and semantic versioning.
• Observability fundamentals (Prometheus, Grafana, logging and tracing).
• Source of truth/CMDB systems (NetBox, Nautobot etc.).
• Linux networking (iptables, DHCP, DNS) and strong Bash scripting.
• Workflow orchestration (Temporal or equivalent).
• Network validation and testing tools (pyATS, NAPALM etc.).
• Containers and orchestration (Docker, Kubernetes).
• Secure secrets and configuration management (Vault, PKI best practices).
• Experience with data centre fabrics, QoS, and high-performance networking is a plus.

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.

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.

QRT is seeking a Software Engineer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on.

Your future role within QRT

• Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems
• Build automation for operations, deployment, monitoring, and incident response
• Evaluate and implement tools that balance performance, complexity, and maintainability
• Own and evolve our observability stack: metrics, logs, tracing, and alerts
• Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis

Your Present Skill Set

• Bachelor's degree in Computer Science or a strongly related field
• Strong Python programming skills
• Strong problem-solving skills and deep understanding of computer science fundamentals
• Commitment to code clarity, documentation, and reducing technical debt
• Hands-on experience with Linux/Unix systems in production environments
• Proven track record designing and delivering scalable systems in production environments

Preferred Qualifications

• Experience with infrastructure-as-code tools (Terraform, Ansible)
• Experience with monitoring and observability tools (Prometheus, Grafana or similar)
• Experience with container orchestration (Kubernetes, Docker, ECS)
• Knowledge of low-latency systems, trading environments, market data, or exchange protocols

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.

Join our Site Reliability Engineer team to help evolve and scale our high-performance trading platform. You’ll build tools, automation, and resilient systems that support the speed and reliability our business depends on.

Your future role within QRT:

• Build automation for operations, deployment, monitoring, and incident response.
• Apply SRE fundamentals (SLIs/SLOs/Error Budgets) to improve service health.
• Deliver and document system designs focused on resilience and performance.
• Evaluate and implement the right tools for the job, balancing performance, complexity, and maintainability.
• Own the observability stack (metrics, logs, tracing, alerts).
• Lead incident response and drive continuous improvement across systems.
• Collaborate with developers, quants, and platform teams on system evolution.

Your Present Skill Set:

• Hands-on experience in SRE or production engineering roles.
• Strong Python skills for infrastructure tooling and automation.
• Deep understanding of monitoring, incident response, and system architecture.
• A commitment to code clarity and reducing technical debt.
• Strong communication and collaboration skills across teams.
• Experience designing and delivering scalable systems in production environments.
• Experience with Linux/Unix.
• Bachelor’s degree in CS, Engineering, or related field.
• Experience with Kubernetes, Docker, or container orchestration.
• Familiarity with Terraform, Ansible, or infrastructure automation tools.
• Knowledge of low-latency trading environments, market data, or exchange protocols is preferred
• Background in Go, Bash, or other performance-focused system languages.

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.

• Support cross-functional strategic projects across research, technology, and business teams
• Contribute to internal AI and LLM-related initiatives
• Build lightweight data tools and automation scripts
• Assist with small coding and workflow optimization projects
• Prepare structured analyses and executive-ready materials
• Coordinate and follow up on multi-stakeholder initiatives to ensure strong execution

• Strong academic background in mathematics, engineering, computer science, finance, economics, or related fields
• Demonstrated excellence through academic performance, competitions, hackathons, research, or meaningful side projects

• Strong analytical and logical reasoning abilities
• Coding skills (Python preferred)
• Comfortable using AI tools and automation technologies
• Fluent English required; additional languages are a plus (French appreciated)

• Exceptionally curious and fast learner
• Structured thinker with a genuine interest in technology
• Comfortable navigating ambiguous, open-ended problems
• Strong intellectual agility and problem-solving mindset
• Eager to learn across both strategic and technical domains
• Humble, intellectually honest, and impact-driven

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:

You will join a cross-functional team that supports the business across a wide range of activities, including:

• Providing trading support: analysing and reporting PnL and positions, managing corporate actions, resolving booking issues
• Modelling and analysing performance drivers at the strategy level
• Producing daily dashboards and reports for management
• Performing NAV system gap analyses
• Conducting ad-hoc investigations and deep-dives
• Maintaining and enhancing internal reporting tools
• Working closely with traders, quantitative researchers, operations, risk teams, and IT

Your present skillset:

• An advanced degree in business or engineering, ideally with a focus on finance
• Relevant experience is appreciated but not mandatory
• Strong programming skills in at least one language (VBA, Python, or SQL)
• Advanced proficiency with Microsoft Office
• Ability to adapt, prioritise, and stay detail-oriented in a fast-moving environment
• Solid analytical and organisational skills
• Clear written and verbal communication
• A collaborative mindset

Your enhanced experience and learning opportunities at QRT:

• Mentorship from experienced industry professionals
• Hands-on exposure to low-latency trading systems (software and hardware)
• Experience working with large-scale data technologies
• Insight into a highly collaborative and supportive environment

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.   

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.    

 Your future role at QRT    

• Take ownership of the maintenance and reliability of live trading systems, ensuring robustness, stability, and real-time monitoring. 

• Develop and maintain production-ready Python systems supporting trading, risk, analytics, and reporting, with a focus on writing clean and scalable code that enables fast iteration in live environments. 

• Build, improve, and automate performance and risk reporting frameworks, with strict attention to data integrity and accuracy. 

• Monitor live strategies and exposures intraday, proactively identifying anomalies or inconsistencies. 

• Contribute to research implementation and backtesting pipelines with high coding standards. 

• Operate across multiple tasks, prioritising effectively in a fast-paced trading environment without compromising accuracy or attention to detail. 

Your present skillset    

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering    

• Advanced coding skills required in Python, and an ability to write clean, modular, efficient, and production-ready code. 

• Strong understanding of software engineering best practices: version control (Git), testing, debugging and logging. 

• Proven ability to multitask under pressure in a real-time trading environment. 

• Exceptional attention to detail and strong operational discipline. 

• Fluent in English, any other language is a plus 

• Prior experience supporting automated trading systems and/or exposure to derivatives, macro or rates market is a plus. 

Interviewing:    

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.  

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.    

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 

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

Programme duration: 6 months, starting in 2026.   

Who qualifies: Final year students completing a Bachelor's, Master's.

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

As a Machine Learning Engineer at QRT, you will contribute to building the systems used to evaluate and compare LLMs across a range of tasks and datasets. Design evaluation pipelines, define scoring methodologies, and develop the services that run, track, and reproduce experiments at scale. Integrate new models into a unified framework and optimize evaluation workflows for performance and reliability.

Your present skillset  

• Strong Python skills, with experience building reliable and maintainable systems.

• Solid software engineering fundamentals, including APIs, testing, and modular design.

• Experience working with data pipelines and experimentation workflows.

• Excellent communication skills - you will interact directly with Traders and Researchers.  

• Strong analytical and problem-solving skills, with a structured approach to ambiguous problems.

• Interest in large language models (LLMs), machine learning systems, and evaluation methodologies.

Preferred qualifications (a plus): 

• Experience with LLM tooling or frameworks (e.g. Hugging Face, OpenAI APIs, vLLM, or similar).

• Familiarity with evaluation or benchmarking frameworks (e.g. lm-eval, HELM, or custom evaluation pipelines).

• Exposure to distributed systems, parallel computing, or GPU-based workloads.
• Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) or similar systems.
• Interest in model evaluation, robustness, and real-world performance of machine learning systems.

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

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.

Join QRT Academy as an Academic Partnerships & Research Lead in London, Paris or Hong Kong, working at the interface between academia and industry. QRT Academy connects leading research communities and talent with QRT through academic collaborations and research engagement initiatives. In this role, you will lead the development of QRT’s academic collaborations, working directly with leading institutions and research groups globally to shape and contribute to research projects and collaboration opportunities.

Your future role at QRT:

• Lead the design and delivery of engagement programmes with academic partner institutions, including research collaborations, visiting practitioner initiatives, and student programmes
• Collaborate directly with academic partners on research projects, including contributing to research direction, publications, and conference engagement
• Build and develop long-term partnerships with leading academics, departments, and research groups across priority institutions
• Act as a primary point of contact for partner institutions, collaborating closely with academics and researchers to shape collaboration opportunities
• Identify and engage high-potential students and early-career researchers through academic programmes and networks
• Develop and scale the model for academic partnerships across institutions and regions
• Ensure alignment between academic engagement activities and broader research and talent objectives
• Work closely with internal teams to connect academic collaborations with QRT’s research priorities
• Partner with the operations function to support effective delivery of programmes, maintaining focus on academic content and relationships

Your present skillset:

• PhD in a quantitative discipline (mathematics, statistics, computer science, engineering or related field) with a strong research background
• Experience managing or contributing to academic collaborations, research programmes, or university partnerships
• Strong stakeholder management skills, with the ability to engage effectively with senior academics and researchers
• Strong understanding of how leading research institutions structure external collaborations
• Ability to shape and manage complex academic partnerships across institutions and regions
• Strong organisational and problem-solving skills, with the ability to operate in evolving or ambiguous environments
• Experience working in globally distributed or research-intensive environments is advantageous
• Strong engagement with research and the academic ecosystem

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.

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 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 are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.  

Your future role within QRT  

This team is integral to the firm’s success. As such, your responsibilities will include:  

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities  
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems  
• Proactively solving data related problems in order to minimise time to production  
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production  

Your present skillset  

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstratable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

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.

You will work on the HPC Research Platform, building and evolving an in-house research platform that provides efficient, secure access to compute and data for research teams across the organisation. The focus is on enabling the execution of large-scale compute pipelines by developing the services and tools that underpin job submission, scheduling, security, and observability across a range of environments. You will collaborate closely with Quantitative Researchers as well as engineering and infrastructure stakeholders to deliver a platform that supports computational research at scale.

Your Future Role Within QRT 

• Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities 

• Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments 

• Improve the usability, reliability, and performance of large-scale quantitative research workflows, with a strong focus on developer experience and operational excellence 

• Contribute to the design and implementation of scheduling, security, and observability solutions suitable for highly parallel, compute-heavy systems 

• Work with state-of-the-art infrastructure and modern software engineering practices to support massive compute pipelines and rapidly evolving research demands 

• Take ownership of complex technical problems, operating with a high degree of autonomy while making pragmatic trade-offs to deliver impact quickly and safely 

Your Present Skill Set 

• BSc / MEng / PhD in Computer Science or a closely related field, or equivalent practical experience, with 5+ years of professional software development 

• Strong proficiency in at least one statically-typed programming language (e.g. C, C++, Java, Rust), with an interest in Go (prior experience welcome but not required). Experience with Python is a plus 

• Required: 5+ years of experience designing, implementing, and operating large-scale distributed systems in production environments 

• Preferred: Prior experience in quantitative finance or working closely with quantitative researchers and data-intensive workloads 

• Preferred Understanding of GPU programming models and performance considerations (e.g. CUDA, memory hierarchies, parallel execution), with exposure to ML frameworks such as PyTorch or TensorFlow 

• Solid understanding of systems concepts such as concurrency, performance, fault tolerance, and reliability 

• Comfortable working in fast-moving, rapidly evolving environments; proactive in learning new technologies and improving existing systems 

• Pragmatic engineering mindset, with a focus on delivering high-impact solutions while maintaining long-term platform health 

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:

You will join the global infrastructure support team at QRT. Working with end users, application teams and engineering teams you will be key in supporting QRT’s growing Linux on-prem estate in order to meet complex and evolving business requirements. As well as day to day support, the role will also include project-based activities such as new deployments, general administration tasks and upgrades. The role will also involve working closely with engineering teams to enhance platform automation and monitoring initiatives.

• Administer, support, and enhance Linux-based trading and research platforms in a high-availability environment
• Deploy new servers and manage end-to-end build and provisioning processes
• Partner with engineering teams to develop and improve automation and monitoring solutions
• Troubleshoot incidents, perform root-cause analysis, and implement long-term stability improvements
• Contribute to operational documentation and promote knowledge sharing across the team
• Participate in an on-call rota and perform occasional out-of-hours support (primarily remote)

Your present skillset:

• 4+ years’ experience in a systems engineering or infrastructure role supporting high-availability systems
• Strong Linux administration expertise (Red Hat, CentOS, Rocky Linux)
• Proven experience delivering full server lifecycle deployments, from hardware installation through OS build
• Solid understanding of AMD and Intel server hardware and components
• Working knowledge of server networking fundamentals, including TCP/IP, UDP, and LAN/WAN technologies
• Experience with infrastructure automation tools such as Ansible
• Familiarity with scripting languages, including Python and Bash
• Strong problem-solving ability with excellent analytical and communication skills
• Collaborative, team-oriented mindset with a willingness to learn and adapt
• Genuine enthusiasm for technology and continuous improvement
• Exposure to NFS or SAN storage systems is advantageous but not essential

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

• Your core objective is to deliver high-quality analytics of trading and production data, with a focus on ensuring the accuracy and integrity of the data used in decision-making.
• You will manage and maintain the data processes, ensuring smooth data flow across systems and resolving any discrepancies promptly with the trading support team.
• You will respond to inquiries related to financial metrics and trading data, providing clear and accurate insights to traders, researchers, and senior management.

Your present skillset

• You hold an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering.
• You have strong coding skills in Python and SQL, with the ability to efficiently work with and manage large datasets.
• Prior experience in a financial institution or audit firm is a plus.
• You possess excellent communication skills, allowing you to clearly explain complex data issues and methodologies to both technical and non-technical audiences.

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands-on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate environment

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

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

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.

Eligible candidates: Final-year PhD students or postdoctoral researchers

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.   

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software.  

Your future role within QRT 

You will join a team of quantitative researchers to learn how to design trading algorithms in a real-world data environment – a fast track to become a seasoned quantitative researcher. Surrounded by peers who have successfully transitioned from academia to applied research, you will receive mentorship from experienced professionals who will help you translate your theoretical expertise into real-world impact. The research environment at QRT is designed to be collaborative and intellectually stimulating. 

Within one of QRT's systematic teams - spanning high, mid, and low-frequencies - your core objective will be to develop high-quality predictive signals: 

• Leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. 

• Collaborate with fellow researchers to exchange ideas and refine methodologies. 

• Translate theoretical models into production-ready signals. 

• Lead the full research cycle - from idea generation to implementation. 

Your present skillset 

• Holding or pursuing a PhD (final year) degree in a quantitative field such as statistics, mathematics, physics, biology, computer science, or engineering. 

• A pragmatic attitude towards translating theoretical models into real-world data problems.   

• Proficiency in Python (preferred) or another leading programming language such as R, MATLAB, C++, or C#. 

• Experience working with large datasets across multiple time frames (a plus). 

• Ability to multitask in a fast-paced environment with attention to detail. 

• Intellectual curiosity to explore new data, solve complex problems, and connect ideas across disciplines. 

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise. 

• Strong communication skills. 

• Fluency in English (additional languages are a plus). 

Interviewing:   

• Apply online: All applications are reviewed by our Talent Acquisition Team, on a rolling basis. 

• Interviews: Conducted on-site or via Teams, they assess both your technical expertise and alignment with our collaborative culture. 

We invite candidates for the Quantitative Research position to take part in one of our Data Challenges. This task is designed to give you insight into the daily responsibilities of the role and allows us to assess your abilities and interest: Challenge data (ens.fr) 

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

• Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
• Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
• Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
• Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
• Experience in finance is a plus
• Excellent communication skills

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands-on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate environment

Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

• Type: Individual Contributor
• Languages: French (main) & english (required) 
• Location: Paris
• Contract Type: CDI

How You’ll Shape Our Story:

As a Partnership Success Coordinator, you will hold a key position, responsible for deepening existing partnerships with retailers and commercial real estate owners, in order to embed our kiosks seamlessly into their retail operations. Your role will be highly dynamic and will encompass a wide range of responsibilities:

• Ensure the satisfaction of signed clients by working closely with the Operations team
• Drive client adoption of our various tools to integrate with their retail activities: integration with loyalty programs, cross-promotions, and temporary marketing campaigns on kiosks to generate in-store traffic
• Design and launch special campaigns on the kiosks aligned with retailers’ events
• Maximize our Net Promoter Score (NPS) among clients
• Collect client feedback to inform our product roadmap and sales messaging
• Automate the above processes as much as possible 
• Identify underperforming locations and propose initiatives to increase usage, either jointly with the client or independently Business development responsibilities:
• Expand our partner network
• Identify locations where additional kiosks can be deployed and secure extension contracts on existing sites
• Turn existing clients into ambassadors to support outreach to new prospects
• Coordinate with the broader Business Development team to support the achievement of commercial growth objectives

This Is About You, Not Us 🫵🏼:

• Master’s degree (Bachelor +5) from a top Business School, Engineering School, or equivalent
• 2–3 years of professional experience, ideally in Customer Success Management within a fast-growing B2B scale-up
• Excellent written and verbal communication skills, with the ability to concisely present progress updates and potential blockers, and to clearly articulate our value proposition to clients from a commercial standpoint
• Strong organizational skills with a clear sense of priorities
• You have critical thinking and you assess situations and data efficiently, creatively and accurately
• Pragmatic and solution-oriented, able to avoid unnecessary detail and quickly identify simple, effective solutions to problems
• Strong entrepreneurial mindset, with the autonomy and independence required to make important decisions quickly 
• Rigorous and methodical, capable of analyzing the performance of initiatives and drawing clear, actionable conclusions 
• Highly comfortable with both written and spoken communication, with a strong affinity for client interaction
• Excellent stress management skills, particularly in high-pressure or tense client situations
• Strong commercial acumen, combined with creativity and a taste for challenge, enabling the proposal of innovative and relevant solutions to clients
• Ability to understand our Business Plan and key growth and profitability drivers as an investment-backed company, as well as to grasp retailers’ business models in order to propose solutions tailored to their needs
• Strong interest and enthusiasm for sustainable mobility, with the ambition to help capture a rapidly growing market through a disruptive value proposition. Experience in electric mobility is a plus; if not, we will support your ramp-up
• Fluency in English is required

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 🏥 Private health insurance coverage
• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (last year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• 🚆 50% Reimbursement of navigo
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

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 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

• Own and build Nebius’ ISV partner ecosystem from the ground up with your key target accounts — defining strategy, segmentation, onboarding models, and long-term growth frameworks
• Identify, recruit, and close high-impact AI and ISV partners that can drive net-new customer acquisition and revenue growth
• Develop and scale repeatable co-sell motions, embedding partners into Nebius’ core sales plays and strategic opportunities
• Drive partner-sourced and partner-influenced pipeline, with a strong focus on net-new accounts and expansion
• Build structured frameworks for joint business planning, pipeline generation, forecasting, and performance management
• Lead joint go-to-market execution, ensuring partners are actively generating demand and influencing deals
• Drive partner technical readiness and platform adoption through onboarding, enablement, and joint solution development
• Act as a key architect of Nebius’ partner program, including co-sell models, incentives, and engagement frameworks
• Stay deeply connected to the AI ecosystem, identifying emerging players, trends, and high-leverage partnership opportunities
• Represent Nebius across industry events, ecosystem forums, and strategic partner engagements
• Serve as the voice of partners internally, working cross-functionally with Sales, Product, Engineering, Marketing, Legal, and GTM teams

• 10+ years of experience in partnerships, business development, or indirect sales within B2B technology
• Strong understanding of the AI/ML and cloud ecosystem (infrastructure, models, data pipelines, ISVs, tooling
• Proven track record of building partner ecosystems from early stages — not just managing existing relationships
• Demonstrated ability to source, negotiate, and close strategic partnerships that drive measurable business impact
• Proven success in driving net-new pipeline, opening new accounts, and scaling revenue through repeatable co-sell programs
• Experience leading co-sell and joint go-to-market motions with sales organizations
• Solid grasp of cloud platforms and consumption-based business models
• Technical fluency — able to engage in architecture discussions, use-case validation, and product alignment
• Builder mindset — comfortable operating in ambiguity and creating structure from scratch
• Strong executive presence with experience navigating complex, multi-stakeholder environments
• Excellent communication, negotiation, and prioritization skills

• Experience working closely with Product and Engineering teams to influence partner integrations and roadmap
• Background in AI-intensive industries such as Financial Services, Healthcare, Robotics, Retail, or Automotive

• You are building the ecosystem — not inheriting one
• Direct ownership of partner-driven revenue and growth
• High autonomy and visibility across the business
• Opportunity to shape how modern AI partnerships are defined and executed at Nebius

Job Description

The PM - Payment Network is a technical role within the Product team dedicated to maximizing the health and efficiency of Mangopay’s payment processing network. As our payments volume grows, this role ensures that our technical performance matches our innovative product suite.
You will also work closely with our payments partners to ensure all Mangopay clients are compliant with card processing standards.

Roles & Responsibilities:

Authorization & Performance Excellence

• KPI Management: Own the optimization of authorization rates, fraud-to-sales, and chargeback performance through advanced data monitoring and performance tuning.
• Issuer and payment partner Liaison: Manage relationships with key ecosystem participants and issuers to troubleshoot authorization bottlenecks and improve global acceptance rates.
• Deep-Dive Analytics: Utilize internal data tools to identify systemic improvements in the payment path, reducing friction for merchants and cardholders.

Technical Data Integrity & Mandates

• Data Stewardship: Oversee processes ensuring that clearing and settlement data across our network meets the highest levels of accuracy and scheme compliance.
• Technical Execution: Lead the technical implementation of specific card processing needs for 3DS, tokenization, and authorization messaging, partnering with Product teams to ensure timely delivery.
• Roadmap Management: Track and socialize technical deadlines for payment partner-driven changes, ensuring Mangopay’s infrastructure is prepared for upcoming industry shifts.

Technical Governance & Security Compliance

• PCI-DSS Leadership: Manage the end-to-end validation process for merchant SAQ and RoC submissions, ensuring the continued security of our processing environment.
• Compliance Reporting: Submit bi-annual technical reports and manage the relationship with Qualified Security Assessors (QSAs) during recurring audits.
• Incident Response Coordination: Provide technical expertise during security reviews or breach response scenarios, ensuring all scheme reporting obligations are met with precision.

Experience

You are recognised for:

• 5+ years of experience in technical payment operations, payment engineering, or technical compliance for a major PSP or global acquirer.
• Technical Breadth: Deep understanding of ISO 8583, 3D Secure frameworks, and the technical mechanics of the authorization and settlement lifecycle.
• Security & Compliance Expertise: Strong background in PCI-DSS governance and a history of successfully managing technical audits.
• Data-Driven Problem Solving: Expert ability to monitor and analyze payment performance data; professional experience with SQL and Snowflake is required.
• Cross-Functional Influence: Proven ability to lead complex technical projects that require collaboration between Treasury, Engineering, and Security teams.
• Relevant Certifications: PCIP, CISA, or similar technical certifications are a plus.

🚀 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

About The Role:

• You will be responsible for the full lifecycle management of large-scale events, from the moment the sales and legal teams sign the commercial contract through to the final closing of the event.
• You will act as the main point of contact between all stakeholders, including event organizers and the internal teams involved.
• While you will have overall ownership of the process, you will work as part of a team and be responsible for ensuring timely and effective execution by coordinating tasks across departments.
• You will communicate product (Fever usability) and process needs to HQ, working closely with Product and Engineering teams to consolidate requirements and prioritize them accordingly.
• You will create and maintain comprehensive Q&A documentation to support potential user issues handled by the customer support team.
• You will ensure that all requirements needed to achieve project goals are properly documented and accessible.
• Depending on the event, your presence on-site may be required during launch or at key moments.

About you:

• You hold a relevant degree and have a background in project management. You thrive in a fast-paced environment and take pride in being flexible, detail-oriented, analytical, and highly organized.
• You have an entrepreneurial mindset and are comfortable operating in ambiguous environments. This role requires a combination of project management and operational experience, as well as the ability to coordinate multiple departments to ensure timely delivery of requirements.
• You have 2-3 years of experience in a project management role or a consulting background. While this is not an events-specific role, prior experience in events is a plus.
• You are fluent in English and French; additional languages are a plus.
• You have a strong appetite for learning and the ability to quickly acquire new skills. You also possess strong analytical, relationship management, and organizational abilities.
• You are solution-oriented, able to identify problem areas and develop actionable plans to resolve them.
• You have excellent communication skills and a proven track record of building positive working relationships.
• You are highly organized and efficient, with a curious mindset and a willingness to challenge boundaries and explore new concepts.
• You are comfortable communicating with event partners, brands, agencies, and talent.
• You are able to think strategically when working on event partnership briefs or analyzing proprietary data to determine which events perform best.

Benefits & Perks:

• Opportunity to have a real impact in a high-growth global category leader!
• 40% discount on all Fever events and experiences
• Home office friendly!
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• We have free food, drink and fruit at the office!

#LI-hybrid #LI-fulltime #LI-CM1

About The Role:

• You will be responsible for the full lifecycle management of large-scale events, from the moment the sales and legal teams sign the commercial contract through to the final closing of the event.
• You will act as the main point of contact between all stakeholders, including event organizers and the internal teams involved.
• While you will have overall ownership of the process, you will work as part of a team and be responsible for ensuring timely and effective execution by coordinating tasks across departments.
• You will communicate product (Fever usability) and process needs to HQ, working closely with Product and Engineering teams to consolidate requirements and prioritize them accordingly.
• You will create and maintain comprehensive Q&A documentation to support potential user issues handled by the customer support team.
• You will ensure that all requirements needed to achieve project goals are properly documented and accessible.
• Depending on the event, your presence on-site may be required during launch or at key moments.

About you:

• You hold a relevant degree and have a background in project management. You thrive in a fast-paced environment and take pride in being flexible, detail-oriented, analytical, and highly organized.
• You have an entrepreneurial mindset and are comfortable operating in ambiguous environments. This role requires a combination of project management and operational experience, as well as the ability to coordinate multiple departments to ensure timely delivery of requirements.
• You have 2-3 years of experience in a project management role or a consulting background. While this is not an events-specific role, prior experience in events is a plus.
• You are fluent in English and French; additional languages are a plus.
• You have a strong appetite for learning and the ability to quickly acquire new skills. You also possess strong analytical, relationship management, and organizational abilities.
• You are solution-oriented, able to identify problem areas and develop actionable plans to resolve them.
• You have excellent communication skills and a proven track record of building positive working relationships.
• You are highly organized and efficient, with a curious mindset and a willingness to challenge boundaries and explore new concepts.
• You are comfortable communicating with event partners, brands, agencies, and talent.
• You are able to think strategically when working on event partnership briefs or analyzing proprietary data to determine which events perform best.

Benefits & Perks:

• Opportunity to have a real impact in a high-growth global category leader!
• 40% discount on all Fever events and experiences
• Home office friendly!
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• We have free food, drink and fruit at the office!
  
  

#LI-onsite #LI-fulltime #LI-CM1

The community you will join:

Airbnb is seeking Field Sales Interns to join the EMEA Services team for a 6-month internship.

Just like Airbnb disrupted hospitality, Airbnb Services is redefining the guest experience by bringing premium in-home services directly to Airbnb stays. Airbnb Services offers 10 categories (chefs, photography, massage, personal training, nails, etc.) across 280 cities, with new offerings and locations dropping regularly in the Airbnb app.

We’re seeking a dynamic and people-oriented person to be the frontline voice of Airbnb Services in EMEA. This role focuses on the acquisition of key hosts in Paris.

The difference you will make:

As a field sales, you’ll work on projects that cover the following:

• Lead Generation: Identify potential leads sourcing through online research, community engagement and local networking.
• Cold outreach: connect with potential hosts through mails, cold callings as well as in-person visits.
• Sales Pitches: Deliver persuasive in-person conversations to showcase Airbnb Services and its offerings, effectively converting interest into host submissions.
• Onboarding: Partner with cross-functional teams to facilitate the initial onboarding of new hosts, ensuring they are well-informed and equipped for success.

The intern experience:

As an intern, you’ll be integrated into a team where you’ll contribute to challenging projects. Your manager, team, and our incredible employee community will strive to be superhosts to you during the summer. We provide the support, mentorship, fun, and real world experience needed to accelerate your learning and make a real impact on our product, as Airbnb revolutionizes connection, belonging, and travel. You can expect to:

• Collaborate with multiple team members to achieve project milestones
• Communicate with stakeholders across different teams to provide project updates
• Seek and provide feedback throughout the internship
• Actively participate in and contribute to the Airbnb Services Supply team and broader Airbnb community

Your expertise:

• Current master’s student (or recently graduated within the last year) in a top engineering or business school, with at least 3 years of studies completed.
• One first commercial experience in sales, partnerships, account management, or community engagement.
• Exceptional interpersonal skills; comfortable with cold calling and initiating conversations in various formats.
• A curious and scrappy mindset with an eagerness to proactively identify new tactics & approaches to source, engage and close successful leads.
• Highly organized, with the ability to manage multiple conversations and leads across various platforms.
• Clear and positive communicator, both verbally and in writing, with an authentic voice.
• Passionate about Airbnb’s mission to create belonging and economic opportunity for hosts.
• Familiarity with social platforms (Facebook Groups, Reddit, Nextdoor) for community engagement and lead generation.
• Experience with or understanding of small business owners, hosts, or side hustlers is a plus.
• Based in Barcelona, Milan or Paris and deep local knowledge of the market and its service offerings.
• Native speaker of French, Italian, and/or Spanish and fluent in English (written and spoken) 

Your location:

This position is hybrid (half remote half onsite) and you must be living in Barcelona, Milan or Paris and have work authorization for one of those countries to be eligible.

Our commitment to inclusion and belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Please submit all application materials in English.

The mission of OrgStore is to provide an easy-to-use, fully-managed platform to store and search data. With Postgres as our cornerstone technology, we focus on transactional (OLTP) data use-cases while providing a custom data plane and a flexible administrative layer. Our users are the thousands of engineers representing hundreds of teams producing products at Datadog. As a platform infrastructure team, our goal is to accelerate product teams by helping them rapidly stand up new features and make step change improvements to their application's performance. Data storage is ubiquitous and the service we are providing is critical for Datadog as the business scales and expands its product offerings.

As the Engineering Manager for the OrgStore Blueprint Team, you will lead a high-performing team of software engineers, guiding them in building and maintaining these mission-critical systems. Collaboration is key in this role, needing to work closely with other engineering, product, and support teams across Datadog. Your strategic vision will not only guide your team's day-to-day operations but also influence the long-term roadmap of support within Datadog.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Guide and mentor a diverse team of 4-8 software engineers, fostering their career growth while ensuring high team performance.
• Drive the technical roadmap in collaboration with your team, product managers, and support teams ensuring it aligns with company objectives and directly contributes to improving customer satisfaction.
• Engage strategically with complex technical problems and work with your team to produce well-defined and actionable plans.
• Be a core contributor and reviewer of code, lead design decisions, and participate in our  well-scoped on-call rotation.
• Understand the broader business context to align technical decisions with business goals, supporting long-term objectives and driving innovation.
• Contribute to engineering-wide initiatives as a member of Datadog’s engineering management team.
  
  

Who You Are:

• A seasoned software engineer with experience building developer tools, running databases, and maintaining infrastructure with a focus on reliability and fault tolerance
• A proven leader with the ability to manage team dynamics, set goals, provide feedback, and foster a positive and productive work environment
• A capable project manager who can plan, organize, and oversee multiple software engineering projects
• An excellent communicator who is comfortable interacting with team members, stakeholders, and upper management alike
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus points: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

FEQ327R157

As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. 

You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.

The impact you will have:

• Hire, mentor and grow the pre-sales team for the Qatar & Africa markets
• Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
• Support increased return on investment of SA involvement in sales cycles
• Ensure a solution and value-based selling within the field-engineering organization
• Display an understanding of needs and revenue potential for accounts in the assigned region
• Engage with key customer executives to build and strengthen strategic partnerships
• Ensure close alignment with partners and internal services to secure implementation strategies within accounts
• Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region

What we look for:

• Experience managing a team of successful Big Data, Cloud, or SaaS professionals
• Experience in consumption based business environments
• Have experience mentoring and scaling technical teams
• Success in instituting processes for technical field members to lead efficiency and product focus
• Ability to partner and collaborate with Sales and other cross-functional leaders
• Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions
• Technical or consulting background either in Data Engineering, Database technologies or Data Science
• Strong communication skills. Italian native-speaker and fluent in English.

Note: Location for the role is either Paris or London (i.e. within commutable distance).

#LI-hybrid

TEAM INTRO

The ECOM team at Alma builds and maintains the payment integration plugins for the main CMS platforms in the market: PrestaShop, Adobe Commerce / Magento 2, WooCommerce, Sylius, and Salesforce Commerce Cloud, as well as the shared PHP library used across all these plugins.

We are looking for a senior technical support who will bring structured support to level up the team.

Reporting line: François Gomis [Engineering Manager, ECOM team]

Team composition: 1 senior developer + 2 mid-level developers

Why this mission is open now

The team is at a critical growth moment. Alma is implementing AI-driven development processes, and the technical foundations — code quality, test coverage, architectural rigour — need to be solid before the next phase of growth. There are no pre-defined project deliverables for this engagement: this is a time & materials mission, focused entirely on supporting the team's daily technical work.

Mission scope

This is not a classic backend developer or integrator role. We are looking for someone who:

• Has built CMS plugins from the ground up — not someone who installs or configures plugins
• Can work across 3 to 5 CMS platforms with genuine fluency in each one's architecture
• Brings a tech lead posture: setting the bar for quality, challenging approaches, and mentoring developers

What you will do

1. Maintain and raise code quality standards

• Conduct structured code reviews across all active CMS plugin repositories; identify architectural risks and document clear remediation paths
• Define and enforce best practices for native PHP OOP, design patterns, and CMS-specific module architecture (PrestaShop hooks, Magento 2 module system, WordPress hooks…)

2. Upskill the team through hands-on pair programming

• Run regular pair programming sessions with mid-level developers on real production tasks, adapting your approach to each developer's level and knowledge gaps
• Build a shared understanding of plugin development fundamentals across the team — and help developers own their technical choices over time

3. Support technical reflection and ticket decomposition

• Participate in refinement sessions and help break down complex technical subjects into clear, actionable tickets
• Challenge technical approaches during design discussions and introduce or reinforce TDD and unit testing practices across the plugin codebase

4. Transfer knowledge and set the team up for long-term autonomy

• Document architectural decisions, patterns used, and CMS-specific implementation choices
• Facilitate knowledge-sharing sessions (tech talks, written guides) on high-impact topics — and continuously adapt your support approach to accelerate the path to full team autonomy

What we are looking for

Must have

• Native PHP mastery (OOP, design patterns) specific to CMS plugin development — not just framework-based PHP. Experience limited to Laravel or Symfony alone will not be sufficient; we work with CMS-native mechanisms (PrestaShop hooks, Magento 2 module system, WordPress hooks…)
• Hands-on CMS plugin development experience on at least 2 of the following: PrestaShop, Adobe Commerce / Magento 2, WooCommerce
• Unit testing expertise: ability to implement, structure and improve test coverage in a real-world plugin codebase
• Tech lead posture: ability to set quality standards, challenge technical approaches, and drive team-wide improvements not just execute tasks
• Pedagogy and knowledge transfer

Nice to have

• Experience on additional CMS platforms: Sylius, Salesforce Commerce Cloud
• JavaScript proficiency (used in frontend plugin components)

Mindset & ways of working

• You're comfortable working in a régie (time & materials) context.
• You bring structure without rigidity.
• You're at ease working with developers at different levels, and you adapt your communication and teaching style accordingly
• Comfortable communicating in French (team language) for daily collaboration

Tools you will use

• PHP (native, 8.x)
• JavaScript (ES6+)
• CMS platforms: PrestaShop, Adobe Commerce / Magento 2, WooCommerce (+ Sylius, SFCC)
• PHPUnit (or equivalent unit testing framework)
• Git / GitHub (code review, PR workflow)

OUR VALUES

• Raise the bar
• Do the right thing
• Test, Learn, Repeat
• Make it happen
• Lead with humility

DIVERSITY & INCLUSION

At Alma, we're committed to fostering an environment where diversity and inclusion are at the heart of our values. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome.

As an equal opportunities employer we make sure the application process and our workplace is for everyone.

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What you’ll do:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to

provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. 

You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Manage and grow the Training & Serving team, directly managing 10+ engineers
• Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. 
• Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on work: Code reviews, design reviews and some coding

Who You Are: 

• Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager
• Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader
• Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
• You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders
• You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

APM Data Hub is at the core of APM, one of the product pillars of Datadog. Our team is responsible for the backend pipeline that processes, transforms, and routes tracing data at scale after ingestion. Our mission is to extend the pipeline's capabilities so that multiple products across Datadog can leverage the rich data present in traces — serving not only APM Distributed Tracing but a growing number of product teams that depend on this data.

As an Engineering Manager for APM Data Hub, you'll lead a distributed team of 6 engineers with diverse seniority, shaping the technical vision of a platform that sits at a critical intersection of Datadog's product ecosystem. You'll own the roadmap for how tracing data is processed and exposed to multiple consumers, maintain high engineering standards for a system operating reliably at scale, and facilitate cross-functional collaboration with the product teams building on top of your  pipeline. You'll have the opportunity to contribute to solving complex engineering challenges with a transversal impact on multiple products.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Manage a team of 6 engineers responsible for a pipeline powering critical features of Datadog platform
• Provide technical leadership by identifying, addressing, and removing roadblocks to maintain team velocity and code quality.
• Collaborate closely with the Product teams to enhance our APM experience and with Platform teams to support our evolutions
• Lead strategic, multi-quarter initiatives, navigating ambiguity to establish clear goals and execution paths.
• Foster professional growth and career advancement for team members, including performance reviews and promotions.
• Participate and lead by example in the team's 24/7 on-call rotation to maintain service reliability.
  
  

Who You Are:

• Proven experience (1+ years) leading a team of 4+ engineers with an emphasis on customer-driven improvements.
• Skilled collaborator, able to effectively coordinate efforts across multiple teams and functions.
• Demonstrated technical judgment and ability to guide technical decisions across back-end distributed systems
• Passionate about mentoring and growing engineers, actively developing the next generation of technical leaders.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

Graphing Experience creates simple tools that enable all users to explore data and communicate insights through visualizations. As the Engineering Manager for the team, you will lead critical product initiatives that enable Datadog to grow its business. 

You will define our technical vision and shape the product roadmap, working closely with product managers and engineers on the team. You will support growing the team, onboarding new hires and growing engineers to the next level. Your team will play a leading role in enabling new product use cases, improving user experience for different user personas, and building UIs for advanced data querying use cases.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Manage and grow the Graphing Experience team, directly managing 5-7 engineers
• Define our technical roadmap in alignment with product goals 
• Work with PMs and partner teams to make graphing UIs both easier to use and more powerful
• Create a strong team culture aligned with our engineering standards and our customer focus
• Ensure that team processes and practices are aligned with Datadog's engineering standards and best practices
• Participate in code and design reviews to ensure that the team is delivering high-quality software

Who You Are: 

• You have successfully led diverse and inclusive engineering teams, including onboarding and performance management
• Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams
• Interested in addressing ambiguous business problems and figuring out the right short-term and long-terms plans to solve them
• You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners.
• Strong technician, particularly with Typescript and React, who is interested in remaining a hands-on leader

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

The REDAPL organization is seeking an experienced and strategic leader to oversee our Resource Graph team. REDAPL is Datadog’s main platform for tracking our customers’ infrastructure resources and relationships. REDAPL Resource Graph also plays a key role in serving Datadog’s Security products.

This position will play a critical role in driving the future of our data infrastructure and ensuring the highest level of performance and reliability for our systems. As the team is also quickly growing, you will also be involved in hiring the best candidates for this team.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Strategic Leadership: Drive the vision and strategy for the teams, ensuring alignment with the overall goals.
• Team Oversight: Provide guidance and support to the ICs in the team, fostering a collaborative and high-performing work environment.
• Technical Excellence: Ensure the teams maintain high standards of code quality, performance, and reliability across all systems and services.
• Innovation and Improvement: Identify opportunities for innovation and continuous improvement within the datastore and serving domains, promoting best practices and new technologies.
• Talent Management: Lead hiring efforts to attract and retain top talent, ensuring the growth and development of team members through mentoring and professional development opportunities.
• Cross-functional Collaboration: Work closely with other teams and stakeholders to align on priorities, address challenges, and deliver high-impact solutions.
  
  

Who You Are: 

• You have proven experience managing teams that shipped and operated business-critical systems.
• You have demonstrated ability in designing, building, and operating distributed systems to solve problems at scale.
• You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph.
• Managed a team for over 2 years.
• You are an excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders.
• You are comfortable in a fast-paced, high-growth environment, able to adapt strategies and solutions in response to emerging challenges and opportunities.
• Skilled in setting team goals and prioritizing features that align with business needs.
• Effective at giving and receiving feedback, enhancing the work environment and team collaborations.
• Possess excellent teamwork, communication, and technical problem-solving skills to contribute to multidisciplinary teams.
• Demonstrated leadership in guiding teams through the full design process from concept to launch, with minimal oversight.
• Maintain a growth mindset, actively seeking learning opportunities and new challenges.
• Able to clearly articulate design decisions and strategies 
• Proven ability to envision long-term goals and focus efforts to achieve them.
• Efficient in optimizing team workflows and processes to enhance team output and collaboration.
• Known for balancing fast iteration, strategic ambiguity, and high-quality outcomes in a dynamic business environment.
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus points: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Lead a fast-growing organization around 20 people across 2 teams soon to be 3. 

• You will define the roadmap for your scope and work with ICs and managers to establish the technical direction

• Collaborate with the engineering team and product manager to define the future of the roadmap

• Create a strong organizational culture centered around our engineering standards and customer- focused approach

• Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring

Who You Are: 

• You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. 

• An experienced engineer and team player with strong technical skills to influence the technical direction of your teams

• A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers

• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity.

• You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

• Continuous professional development, product training, and career pathing

• Intradepartmental mentor and buddy program for in-house networking

• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

• Access to Inclusion Talks, our Internal panel discussions

• Free, global mental health benefits for employees and dependents age 6+

• Competitive global benefits

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

#LI-Hybrid

Datadog Real User Monitoring (RUM) provides deep insight into frontend applications’ availability and performance, enabling customers to monitor user experiences in real time across web, mobile, smart TVs, and other platforms. As a Product Manager II for RUM, you will help customers onboard and expand their usage in scalable and efficient ways, drive product consistency, and build intelligence powered by availability and performance data. You will partner closely with enterprise customers and cross-functional teams to shape the product vision, strategy, and execution for one of Datadog’s fastest-growing offerings. This role offers the opportunity to influence a high-impact product at scale while deepening your expertise in frontend observability and user experience monitoring.

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:

• Identify customer needs and business opportunities through quantitative data analysis and qualitative customer research
• Translate insights into clear business cases, product requirements, features, and roadmaps
• Collaborate closely with engineering, design, data science, and other product teams to deliver high-impact solutions
• Partner with marketing, customer success, and technical writing to launch features that are intuitive and easy to adopt
• Communicate feature releases to internal and external audiences to support effective go-to-market and product discovery

Who You Are:

• You have 3+ years of Product Management experience, ideally in enterprise software serving a technical audience
• You bring prior engineering experience or a strong understanding of frontend technologies and troubleshooting workflows, such as diagnosing crashes, latency, and performance issues
• You demonstrate strong ownership and accountability for outcomes, partnering across sales, solutions, marketing, and other teams
• You are customer-focused and hold a high bar for product quality and user experience
• You communicate clearly and confidently, with the ability to present and defend ideas to technical stakeholders and executives

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

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

#LI-Hybrid

Datadog is seeking an extremely talented professional to drive product strategy, source, manage, and execute acquisitions, source venture investments. You will be a key partner to Datadog’s founders and startup founders and highly visible at the most senior levels of Datadog. The group reports directly to the CEO.

We are looking for an innovative and strategic thinker who is passionate about Datadog and the future of cloud services. The ideal candidate enjoys driving new product development ideas, likes to “roll up sleeves and get hands dirty”, is hungry for more responsibility, and puts the company’s interests first. Superb negotiation skills (or willingness to develop them) are essential. This role includes managing relationships that may be unconventional in nature and have broad implications across Datadog. The team is small and values authentic, strong-willed individuals who think creatively and proactively.

The ideal candidate will research and generate ideas for new markets to enter, prioritize objectives and plan internal activity, drive due diligence and valuation analysis, spearhead term sheet and contract negotiations, create and present strategic documents and recommendations, and support integration by partnering with key leaders.

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:

• Develop a deep understanding of Datadog’s products and potential new markets for further expansion
• Identify opportunities for M&A and Datadog Ventures through direct engagement with senior business leaders, entrepreneurs, and venture capitalists
• Work closely with senior product and engineering leaders to assess potential acquisitions and investments
• Partner with business and product teams to comprehensively assess expansion opportunities and build internal and external consensus
• Lead all pre-transaction diligence efforts
• Identify value creation opportunities and risks in potential transactions
• Bring transactions over the finish line
• Engage with the startup community, early-stage VCs, and key internal stakeholders Play a critical role in negotiating large, highly-complex partnerships with the major cloud hyperscalers
• Work with cross-functional groups within Datadog, including Product, Operations, Engineering, Legal, Finance, Tax, and Accounting teams

Who You Are:

• Demonstrated technical knowledge via either work experience (as a software engineer/product manager/VC/etc.) or through a Computer Science (or equivalent) degree, is required. 
• Some experience in financial modeling, forecasting, analysis, and financial reporting.
• Capable of building and maintaining a network of relationships to facilitate deal flow
• Self-starter who excels in technically-demanding, fast-paced, and fluid environments
• Ability to prioritize multiple stakeholders and projects with limited resources

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive global 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

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

#LI-Hybrid

#LI-Hybrid

#LI-Remote

#LI-Remote