Manager Internal Audit in France

As a Platform Security Engineer you will partner with different stakeholders across the organization to secure our infrastructure and application components of the Datadog platform. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions solving systemic risks making the secure path easier and the insecure path harder. 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: Solve our most challenging cloud infrastructure security & application security problems starting with our core building blocks and golden paths. Enable our engineers to build and ship secure solutions quickly. Build and extend Datadog’s Platform Security solutions. Leverage and influence the direction of Datadog’s products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers. Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience. You don’t want to just provide security recommendations, you want to help implement solutions to solve systemic issues. Passionate about advocating for and implementing solutions to complex security problems, at-scale, in a large multi-cloud self-managed Kubernetes environment. Proven experience in securing enterprise SaaS applications including securing the underlying authentication flows, authorization patterns, and input validation at API boundaries. Demonstrated experience in securing the deployment & management mechanisms for software and infrastructure changes. Familiarity with common security frameworks such as OWASP, MITRE ATT&CK, PAST

As Engineering Manager for Code Security, you'll lead a team of engineers building Infrastructure as Code and Secrets protection - one of the fastest-growing areas inside Datadog's security business, with a strong roadmap and real customer problems to solve. You'll partner closely with Product Management and User Experience to shape how the team delivers, stay hands-on with the technical work, and bring AI deeply into how your engineers build. The organization is still young, which means real room to shape its direction and grow into broader scope as it does. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow a team of engineers building Datadog's Infrastructure as Code and Secrets security products Own the team's roadmap, staffing, and delivery, partnering closely with Product Management and User Experience Stay hands-on: contribute to code review, weigh in on design decisions, and participate in the on-call rotation Bring AI deeply into how the team builds, from adopting agentic coding tools to rethinking workflows around them Coach engineers at every level, giving direct feedback and helping them grow their scope and careers Keep the team's projects and programs organized as priorities shift across a fast-growing area Who You Are: You've managed software engineers for 2+ years, with a track record of shipping through your team You bring a strong technical background you can draw on in day-to-day roadmap and design conversations You're comfortable staying close to the work - reviewing code and unblocking technical decisions alongside your team You've integrated AI agents into how you and your team deliver code, not just experimented with them You keep projects and programs organized, even as priorities and scope shift &n

Observability Pipelines (OP) is Datadog's on-premise, vendor-agnostic telemetry pipeline product. As an Engineering Manager on the team, you'll own people management and engineering execution for one of OP's core missions, spanning areas like Integrations (ingesting from and routing to the many source and destination systems customers rely on), streaming insights, cost control, or pipeline capabilities, reliability and scalability. You'll partner directly with Product to help shape the roadmap, and work closely with your peer EMs and senior ICs to define how OP operates and grows. This is an opportunity to build your management craft while having real influence over the technical direction of a fast-growing product area. 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: Own people management and engineering execution Establish a strong operating rhythm for the team Drive high standards for on-call rotations and incident response Partner with Product on the roadmap, balancing product priorities with technical realities Lead, coach, and grow the careers of engineers on your team Who You Are: Experienced managing engineers directly, comfortable owning a team’s operating rhythm end-to-end, from planning through execution and stakeholder communication to incident and on-call ownership Have a technical background in distributed systems and data infrastructure Have experience with on-premises or customer-installed software concepts A product-minded partner to have on the team — you enjoy working with Product on strategy Experience with high-performance or Rust-based data pipeline systems Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications o

The Security Libraries team owns the customer-side integrations behind Datadog’s run-time security products — App & API Protection , Workload Protection , and Code Security — shipping and maintaining security capabilities across seven open-source language libraries ( .NET , Java , Go , Node.js , Python , Ruby , PHP ) and a set of HTTP proxy integrations (Envoy, NGINX, and HAProxy), running inside thousands of production clusters worldwide. Recent work spans exploit prevention (RASP), WAF detections, API Security, code security (IAST and SCA), and AI-assisted onboarding. As Engineering Manager, you’ll lead part of this polyglot team, setting the technical bar and team culture while driving the pace at which new detections and AI-assisted capabilities reach customers. This is a hands-on role: you’ll balance people leadership, product and roadmap ownership, and the operational health of code that runs in production at massive scale, with room to grow into more of Datadog’s security portfolio over time. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead, grow, and develop a team of roughly 4-8 library engineers — coaching, giving direct feedback, and empowering senior ICs as technical leaders Own team delivery and productivity: planning, milestones, reviews, and the on-call rotation Set product direction with Product Management and balance priorities across App & API Protection, Workload Protection, and Code Security Stay technically close to the work — apply strong technical judgment, contribute code where it matters most, and keep quality and architecture high Build strong relationships and drive alignment across the language teams and product, backend, and frontend partners Shape team identity and culture, and own accountability when problems oc

Source Code Integration enables Product teams at Datadog to develop features that leverage our customers’ source code. This brings the platform closer to developers, as it helps them relate their telemetry to code to run automated investigations, debug their services with stack traces and profiles, scan their code for security issues, or make proactive fixes, among others. The team owns all the platform services, infrastructure and integrations required to access and synchronize our customer repositories in a secure, reliable and efficient manner. We are looking for a hands-on technical leader to drive the growth of our platform, as Datadog shifts left and becomes more developer-friendly and AI-ready. In this role you will lead the growth of our platform to support an increasing number of high profile features and teams, and work with a team of engineers of varied experience levels to shape our roadmap and deliver impactful solutions at scale. 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 and cultivate a team of engineers of diverse experience levels, including performance management and career development Lead technical and strategical discussions to better understand the challenges and opportunities faced by our team and our stakeholders Own and drive the relationships with product teams and major stakeholders, balancing competing requests with long term investments, and prioritizing impact across the whole platform Run a lightweight process to pace and track what we work on. Support the progressive delivery of high quality work through demos and frequent iteration Stay in touch with your team’s systems, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issue

We’re looking for an Engineering Manager to lead our Sensitive Data Scanner (SDS) Telemetry team. The SDS group’s mission is to be the world’s easiest-to-use tool to discover, classify, manage, and report sensitive data risks across cloud, on-premise, and code environments. This team builds and scales the detection capabilities that scan all telemetry data flowing into Datadog — logs, APM spans, and RUM events — operating in streaming, at processing time, and at very large scale. You’ll lead a small, close-knit team based in Paris, with the opportunity to shape how the team grows as SDS Telemetry’s scope expands. It’s a chance to combine hands-on technical leadership with direct customer and product impact in the security and observability space. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a team of engineers building real-time sensitive data detection across Datadog’s Logs, APM, and RUM telemetry pipelines Partner closely with the Logs, APM, and RUM teams, plus Datadog’s Trust & Safety team, to align on roadmap and integration priorities Shape product direction by working closely with Product, grounding decisions in customer needs and business impact Stay hands-on: contribute to design decisions and participate in the team’s on-call rotation Recruit, mentor, and develop engineers as the team grows beyond its initial size Help build a strong engineering culture as part of Datadog’s broader Sensitive Data Scanner group Who You Are: You have experience building and shipping revenue-generating products, with strong product acumen and a customer-first mindset You have hands-on experience with Go and/or Java, and a track record building distributed, streaming systems at scale You have experience managing engineers — or are

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 Evaluation & Annotation 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: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. 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 Evaluation & Annotation team, directly managing 4-6 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 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: A Software Engineer at heart with a previous experience leading software engineering teams, as a tech lead or people manager Excellent leader with strong interpersonal skills, and the

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds specialized models that replace frontier models where they are not necessary, making AI capabilities faster, cheaper, and more secure. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As a Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on cost-efficient specialized models and AI security capabilities Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quality, latency, cost, and safety considerations. Drive evaluation and iteration practices for AI systems: define the quality bar and guide the team in building the offline

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

Datadog’s Product Analytics suite spans Product Analytics, Session Replay, Feature Flags, and Experimentation. Together they give product teams a complete, quantitative and qualitative picture of how users experience their applications, plus the tools to release, measure, and improve those experiences with confidence. Our team of Applied Scientists makes this space smarter and more autonomous, researching, prototyping, and industrializing AI/ML capabilities that make the suite proactive and agentic by default: AI-driven event understanding and instrumentation, conversational analytics, automated insight reporting, and UI/UX issue detection from session replays. The ambition is to let product teams act with autonomy, moving from question to insight to safely released change without depending on engineering or analysts. As the Engineering Manager for this team, you’ll lead a team of Applied Scientists through an early-stage, high-impact opportunity: defining the team’s technical vision, growing its footprint, and shaping how AI capabilities get built and delivered across the suite. This is greenfield work, both in the R&D itself and in the team you’ll grow around it. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a team of Applied Scientists researching, prototyping, and industrializing AI/ML capabilities across the suite Define the technical vision and roadmap for the suite’s agentic and proactive AI/ML capabilities: event understanding, conversational analytics, insight reporting, and session-replay issue detection Stay hands-on as a technical contributor and reviewer, helping the team move from research prototypes to production-grade capabilities Shape how AI capabilities get built and delivered across the suite, partnering closely wi

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. This role will be based in Paris, France. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own the commercial pe

Product Manager – Innovation & Design Location: Paris (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Imaginez et construisez des produits qui répondent aux vrais besoins des utilisateurs et transforment durablement les services financiers. Capco recherche des Product Managers pour accompagner les acteurs majeurs des services financiers et de l'énergie dans la conception de produits utiles à leurs clients et créateurs de valeur pour leur organisation. Au sein de notre capability Tech, Product & Engineering , vous intégrerez des équipes pluridisciplinaires réunissant Product Managers, ingénieurs, développeurs et experts métiers. Votre rôle sera de comprendre les besoins des utilisateurs, identifier les bonnes problématiques à résoudre et transformer ces insights en produits simples, viables et performants. Vous intégrerez également de manière pragmatique les outils d’IA et d’automatisation approuvés dans vos méthodes de travail pour accélérer la recherche, l’analyse et l’expérimentation, tout en conservant le jugement humain au cœur des décisions produit. Vos responsabilités Travailler avec des équipes produit pluridisciplinaires pour identifier les problématiques utilisateurs prioritaires et concevoir des solutions à la fois désirables, viables et techniquement réalisables. Intervenir sur l’ensemble du cycle de vie produit, de la discovery et de la recherche utilisateur jusqu’au lancement, à la mesure de la performance et à l’optimisation continue. Combiner études de marché, recherche qualitative, données quantitatives et comportements observés pour construire une compréhension structurée des utilisateurs et exploiter, lorsque pertinent, des outils d’IA approuvés pour accélérer l’analyse et faire émerger des insights. Intégrer les contraintes propres aux services financiers – réglementation, risques et contrôles, protection des données et viabilité économique – dans les décisions produit. Piloter le produit par l

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Product Manager II for APM, you will work with world-class engineers, designers, and partner product teams to shape the future of Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will help build advanced capabilities that scale to thousands of customers and make sophisticated observability workflows accessible to every engineer, from experts to beginners. 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 will Do: Develop a deep understanding of APM customers, their performance challenges, telemetry workflows, and competitors Lead conversations with design partners and strategic customers to uncover real-world performance issues, validate product assumptions, and guide solutions from early prototypes through General Availability Define and deliver the next generation of APM features with engineering and design, especially age

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. 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: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Paris About the Department Account Executives, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community. Abo