Jobs in Germany

Senior Consultant (Strategy & Data/AI Transformation)

Artefactlinkedin

Location: Zürich

<h2>Who is Artefact?</h2> Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Swiss offices are at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. <h2>Main Responsibilities</h2> As a Senior Consultant in our Zurich/Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: <ul> <li>Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact?</li> <li>Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do.</li> <li>Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers.</li> <li>Project Delivery: Support engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps.</li> <li>Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide.</li> <li>Knowledge & Practice Building: Contribute to the growth of Artefact's Zurich office by shaping new offerings, creating intellectual capital - frameworks, thought pieces, benchmarks - and taking part in business development.</li> </ul> <h2>Candidate Profile</h2> We are looking for someone who can hold a technical position and a commercial one at the same time. The strongest candidates meet most of the following. <ul> <li>Education: A degree in Computer Science, Engineering, Data Science, Business, Economics or a related field.</li> <li>Work Experience: Around three to five years in consulting, or in a technical/date-focussed role with client-facing responsibility. </li> <li>Business Acumen & AI Fluency: A genuine dual affinity for business and technology. You are comfortable with modern data and AI concepts - generative AI and LLMs, retrieval, predictive machine learning, cloud platforms - and with what they cost and where they fail, not only with what they are called.</li> <li>Technical Depth: You have built AI or data products, not only advised on them. You can explain why you chose which model you put on which part of the work, and what that choice did to both output quality and cost. You will not be writing production code in this role, but you should have the basic understanding.</li> <li>Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, and the judgement to know which number actually decides the question. You are comfortable getting to a defensible estimate with your assumptions stated out loud.</li> <li>Communication & Interpersonal Skills: Excellent written and verbal communication. You enjoy working in teams and in front of clients.</li> <li>Languages: Fluency in German/French and English, written and spoken, is strongly preferred.. </li> <li>Work Eligibility: You must be eligible to work in Switzerland.</li> </ul> <h2>Why Join Us</h2> <ul> <li>Strategy and the Build: Artefact is neither a traditional strategy consultancy nor a pure technology player. You will move between the boardroom and the build, and be expected to be credible in both.</li> <li>Engineers, not hand-offs: Our 2,500 people include the data scientists and engineers you will work beside on the same engagement - not a delivery organisation you hand a slide deck to.</li> <li>Zurich Office Impact: As part of a growing Swiss team you will have visibility and impact from the first day. You will help shape Artefact's footprint in the region and work directly with senior leadership.</li> <li>Learning & Growth: Regular training in both consulting method and AI and data capability, combined with international exposure.</li> <li>Culture of Doers: Innovation, action, collaboration. We are entrepreneurial and fast-moving, committed to delivering impact while supporting each other's growth.</li> </ul> This position is based in Zürich or Lausanne.

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Data Consulting

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Published: September 28, 2026

Senior AI Engineer / Technical Consultant

Artefactlinkedin

Location: Lausanne, Vaud

<h2 data-start="107" data-end="126">Who is Artefact?</h2> Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. <h2 data-start="797" data-end="821">Main Responsibilities</h2> As a Senior Technical Consultant / Senior AI Engineer, you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment. <ul data-start="1098" data-end="2600"> <li data-start="1098" data-end="1326"> Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind. </li> <li data-start="1327" data-end="1512"> Lead complex PoCs & pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products. </li> <li data-start="1513" data-end="1754"> Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails. </li> <li data-start="1755" data-end="1927"> Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). </li> <li data-start="1928" data-end="2127"> Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. </li> <li data-start="2128" data-end="2265"> Quality, security & governance: Enforce best practices on data privacy, model risk management, responsible AI, and documentation. </li> <li data-start="2266" data-end="2425"> Team leadership & mentoring: Coach engineers/consultants, perform code and design reviews, and help shape delivery standards and reusable accelerators. </li> <li data-start="2426" data-end="2600"> Pre-sales & thought leadership: Support proposals, estimates, and statements of work; contribute to assets, talks, and publications that advance Artefact’s AI offering. </li> </ul> <h2 data-start="2602" data-end="2622">Candidate Profile</h2> Engineer first, consultant second — with a builder’s mindset and a track record of shipping. <ul data-start="2717" data-end="3945"> <li data-start="2717" data-end="2874"> Experience: 5–8+ years in data/ML/AI engineering or adjacent roles, including end-to-end delivery of production AI systems (not just prototypes). </li> <li data-start="2875" data-end="3010"> Programming: Expert Python; solid software engineering (testing, packaging, CI/CD). SQL required; Java/Scala/TypeScript a plus. </li> <li data-start="3011" data-end="3145"> AI/ML: Hands-on with ML/DL and LLMs (prompting, fine-tuning/LoRA, embeddings/RAG, evaluation & observability, guardrails). </li> <li data-start="3146" data-end="3266"> Cloud: Deep experience on at least one major cloud (Azure, GCP, or AWS) deploying secure, scalable services. </li> <li data-start="3267" data-end="3504"> MLOps/LLMOps: Containers (Docker/Kubernetes), Git, pipelines (e.g., GitHub Actions/Cloud-native), model serving (FastAPI/TorchServe/Triton), experiment tracking, model registry, vector DBs (FAISS, Pinecone, pgvector, OpenSearch). </li> <li data-start="3505" data-end="3640"> Architecture & data: Designing data/ML platforms, APIs, microservices; familiarity with data pipelines and streaming is valued. </li> <li data-start="3641" data-end="3761"> Consulting skills: Requirements gathering, storytelling, senior stakeholder management, and clear documentation. </li> <li data-start="3762" data-end="3876"> Languages: Fluency in French and English (written & spoken). </li> <li data-start="3877" data-end="3945"> Work eligibility: You must be eligible to work in Switzerland. </li> </ul> Nice to have <ul data-start="3964" data-end="4225"> <li data-start="3964" data-end="4062"> Experience with responsible AI/governance frameworks, security reviews, and cost optimization. </li> <li data-start="4063" data-end="4158"> Domain experience in one or more industries (e.g., retail, pharma, manufacturing, finance). </li> <li data-start="4159" data-end="4225"> Contributions to open-source, publications, or conference talks. </li> </ul> <h2 data-start="4227" data-end="4241">Why Join Us</h2> <ul data-start="4242" data-end="4752"> <li data-start="4242" data-end="4359"> Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering. </li> <li data-start="4360" data-end="4494"> Romandie Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership. </li> <li data-start="4495" data-end="4630"> Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice. </li> <li data-start="4631" data-end="4752"> Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth. </li> </ul> Location: Lausanne / Geneva (Romandie) If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

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Data Science

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Published: September 28, 2026

Engagement Manager (Strategy & Data/AI Transformation)

Artefactlinkedin

Location: Lausanne, Vaud; Zürich

<h2>Who is Artefact?</h2> Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Zurich office is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. <h2>Main Responsibilities</h2> As an Engagement Manager in our Zurich or Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: <ul> <li>Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact?</li> <li>Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do.</li> <li>Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers, and you will be accountable for whether the design survives contact with production.</li> <li>Project Delivery: Run engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps.</li> <li>Feasibility & Economics: Own the answer to "will this work, and what will it cost". The evaluation approach, the unit economics per query or per case, and the point at which the business case stops closing.</li> <li>Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide.</li> <li>Team Leadership: Lead mixed teams of consultants, data scientists and engineers. You are the person who can tell whether the technical plan is realistic, and the person the client believes when you say that it is.</li> <li>Knowledge & Practice Building: Contribute to the growth of Artefact's Zurich and Lausanne offices by shaping new offerings, creating intellectual capital - frameworks, thought pieces, benchmarks - and taking part in business development.</li> </ul> <h2>Candidate Profile</h2> We are looking for someone who can hold a technical position and a commercial one at the same time, and lead a team through both. The strongest candidates meet most of the following. <ul> <li>Education: A degree in Computer Science, Engineering, Data Science, Business, Economics or a related field. A strong technical foundation counts for more with us than where you studied.</li> <li>Work Experience: Five to eight years across consulting and technology delivery, including at least one dedicated AI or data project.</li> <li>Business Acumen & AI Fluency: A strong dual affinity for business and technology. You have a deep working understanding of modern data and AI concepts — generative AI and LLMs, retrieval, predictive machine learning, cloud architectures — and of their practical business applications. You are capable of scoping AI use cases and of discussing technical constraints and opportunities confidently with C-level stakeholders.</li> <li>Technical Depth: You have owned the technical shape of AI work, not only its business case. You think in terms of enterprise architecture — how a solution fits the existing landscape, what it needs from data and governance, and how it scales from pilot to full rollout — and can defend those choices to technical and commercial stakeholders alike. You will not be writing production code, but you should have been close enough to it to be credible with the engineers with which you will collaborate.</li> <li>Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, and the judgement to know which number actually decides the question. You are comfortable getting to a defensible estimate with your assumptions stated out loud.</li> <li>Communication & Interpersonal Skills: Excellent written and verbal communication. You can take a technical trade-off to a non-technical sponsor without flattening it, and be challenged by an engineer without retreating into abstraction. You enjoy working in teams and in front of clients.</li> <li>Languages: Fluency in German/French and English, written and spoken, is strongly preferred. </li> <li>Work Eligibility: You must be eligible to work in Switzerland.</li> </ul> <h2>Why Join Us</h2> <ul> <li>Strategy and the Build: Artefact is neither a traditional strategy consultancy nor a pure technology player. You will move between the boardroom and the build, and be expected to be credible in both.</li> <li>Engineers, not hand-offs: Our 2,500 people include the data scientists and engineers you will work beside on the same engagement - not a delivery organisation you hand a slide deck to.</li> <li>Zurich Office Impact: As part of a growing Swiss team you will have visibility and impact from the first day. You will help shape Artefact's footprint in the region and work directly with senior leadership.</li> <li>Learning & Growth: Regular training in both consulting method and AI and data capability, combined with international exposure.</li> <li>Culture of Doers: Innovation, action, collaboration. We are entrepreneurial and fast-moving, committed to delivering impact while supporting each other's growth.</li> </ul>   This position is based in Zürich or Lausanne.

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Data Consulting

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Published: September 28, 2026

Senior Software Engineer - REDAPL Graph Engine

Datadog

Location: Remote

<div id="message-list_1786698316.066069"> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div>Please note that the job is only available from the locations outlined. </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>   We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. 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: <ul> <li>Build a query engine that supports efficient relationship traversals for our most demanding workloads.</li> <li>Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams.</li> <li>Lead and guide other engineers through architectural platform decisions</li> <li>Identify potential system risks and trends in reliability and design solutions to address them</li> <li>Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps</li> <li>Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL</li> </ul>   Who You Are: <ul> <li>You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience</li> <li>You have worked extensively with multiple types of data stores. </li> <li>You have contributed to initiatives in a platform or infrastructure-focused environment for several years</li> <li>You have led impactful technical initiatives in an environment where performance, cost efficiency, ease of use, and resilience/operability are first-order concerns</li> <li>You have significant back-end engineering experience and have built, and operated distributed systems to solve problems at a high scale</li> </ul> Bonus points: <ul> <li>You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph.</li> <li>You have production-grade experience with Apache Iceberg</li> <li>You have a solid grasp of query planning or better yet - contributed to a production-grade query engines or related projects (e.g. Trino, Calcite, Substrait, DataFusion, etc) ideally demonstrated through open-source contributions or PMC membership on projects.</li> </ul> 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: <ul> <li>Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.</li> <li>Have a lot of influence on product direction and impact on the business .</li> <li>Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn</li> <li>Competitive global benefits</li> <li>Continuous professional development</li> </ul> Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Remote<div class="content-conclusion"><hr> About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank">Datadog Learning Center. </a> <hr> Equal Opportunity at Datadog: Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">equal employment opportunity</a> to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank">Candidate Legal Notices</a> for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s <a class="c-link" href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" data-stringify-link="https://www.datadoghq.com/legal/applicant-candidate-privacy/" data-sk="tooltip_parent">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank">Interviewing at Datadog AI Guidelines</a>.</div>

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Dev Eng

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Published: September 28, 2026

Major Account Manager (EMEA)

Datadog

Location: Remote

The Datadog Major Accounts Team is focused on driving new business and expanding the current Datadog footprint with our largest and most strategic clients. The success of the Major Accounts Team directly impacts the success of Datadog and is a highly visible position with bold revenue targets. We are searching for seasoned and successful Account Executives that have a passion for technology and a fast-paced sales environment. The Major Accounts Team has experienced unprecedented success since its inception in 2021 and we are continuing to expand the team. This is a lucrative opportunity for any driven and competitive salesperson.  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: <ul> <li>Prospect into a targeted set of accounts while running an efficient sales process</li> <li>Nurture existing client relationships and grow the Datadog footprint</li> <li>Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts</li> <li>Develop a deep comprehension of the customer's business</li> <li>Negotiate favorable pricing and business terms by selling value and ROI</li> <li>Demonstrate resourcefulness when faced with challenges</li> <li>Determine necessary steps to close business and gain customer validation</li> <li>Identify a robust set of business drivers behind all opportunities</li> <li>Ensure high forecasting accuracy and consistency</li> </ul> Who You Are: <ul> <li>Someone with 7+ years Enterprise software sales experience</li> <li>Experienced in selling Fortune 100 companies with the ability to win new business</li> <li>Experience managing a complex account team from multiple GTM Ecosystem partner functions to support Sales cycle</li> <li>Experience/success selling new solutions into accounts already leveraging core technical products</li> <li>Combination of leveraging existing customer contacts and net new PG to break into new BUs and sell net new products</li> <li>Have consistently met/exceeded direct sales goals</li> <li>Able to demonstrate methodology to prospect and build pipeline on your own</li> <li>Experienced in working for an innovative tech company</li> <li>Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs.</li> </ul>    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: <ul> <li>High income earning opportunities based on individual performance</li> <li>New hire stock equity (RSUs) and employee stock purchase plan (ESPP)</li> <li>Continuous professional development, product training, and career pathing</li> <li>Sales training in MEDDIC and Command of the Message</li> <li>Intradepartmental mentor and buddy program for in-house networking</li> <li>An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)</li> <li>Access to Inclusion Talks, our Internal panel discussions</li> <li>Free, global Spring Health benefits for employees and dependents age 6+</li> <li>Competitive global benefits</li> <li>Giving programs</li> </ul> Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.       #LI-SN3 #LI-Remote This is a remote position<div class="content-conclusion"><hr> About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank">Datadog Learning Center. </a> <hr> Equal Opportunity at Datadog: Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">equal employment opportunity</a> to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank">Candidate Legal Notices</a> for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s <a class="c-link" href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" data-stringify-link="https://www.datadoghq.com/legal/applicant-candidate-privacy/" data-sk="tooltip_parent">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank">Interviewing at Datadog AI Guidelines</a>.</div>

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Enterprise Sales

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Published: September 28, 2026

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