It Operations Analyst Jobs

Commercial Account Executive (AE)은 중소규모 시장에서 전략적으로 신규 고객을 유치하고 거래를 성사시켜 Datadog의 전반적인 비즈니스 성장을 지원하게 됩니다. 영업 담당자는 잘 정의된 방법론을 따르고, 내부 이해관계자와 협력하며, 고객의 고유한 요구 사항을 파악하고, Datadog 제품의 가치를 명확하게 전달합니다. AE는 영업 분야에서 경력을 쌓고 Datadog 팀의 성공에 지속적으로 기여할 수 있는 기회를 갖게 됩니다. Datadog은 사무실 문화를 통해 구축되는 관계와 협업, 창의성을 중시합니다. 우리는 데이터독 직원들이 자신에게 가장 적합한 일과 삶의 조화를 이룰 수 있도록 하이브리드 업무 환경을 운영하고 있습니다. 담당 업무 아웃바운드 활동을 통한 신규 로고 확보에 집중 지속적인 제품 및 영업 교육을 통해 데이터독 전문가 기술 데모 및 협상을 포함한 전체 영업 주기를 관리 영업 개발 담당자와 협업하여 퍼널 상단의 활동을 촉진 최고 기술 책임자, 엔지니어링/IT 리더, 기술 최종 사용자를 전략적으로 전망 자격 요건 영업 사원으로서의 호기심, 추진력, 동기를 갖춘 분 창의적으로 어카운트를 매핑하고 세분화할 수 있는 분 피드백을 통해 학습하고 성장 마인드를 고취할 수 있는 분 고도로 기술적이고 빠르게 변화하는 환경에서 편안한 운영이 가능한 분 검증된 성공 실적과 함께 할당량을 운반한 경험이 있는 분 Datadog은 모든 계층의 사람들을 소중히 여깁니다. 모든 사람이 입사 첫날에 위의 모든 자격 요건을 충족하지 못할 수도 있습니다. 괜찮습니다. 기술에 대한 열정이 있고 경험을 쌓고 싶다면 지원하실 것을 권장합니다. 혜택 및 성장 자기 성과에 따른 고소득 창출 기회 신규 채용 우리사주(RSU) 및 직원 주식 매입 계획(ESPP) 지속적인 전문성 개발, 제품 교육 및 커리어 경로 제공 MEDDIC 및 Command of the Message 의 영업 교육 사내 네트워킹을 위한 부서 내 멘토 및 버디 프로그램 포용적인 기업 문화, 커뮤니티 길드 가입 기회 풍성한 글로벌 혜택 위에 나열된 혜택 및 성장은 근무 국가 및 데이터독 고용의 성격에 따라 달라질 수 있습니다. 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 Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity 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 p

About Datadog: Datadog is a best-in-class SaaS business, delivering a rare combination of growth, profitability, and stock market appreciation. Built by engineers, for engineers, our monitoring and security platform is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack. We’re dedicated to creating, developing, and supporting our product and customers, allowing for seamless collaboration and problem-solving among Dev, Ops, and Security teams globally. Come join the team for an exciting opportunity to learn from top-level leaders and colleagues and grow alongside the company as we rapidly expand. The Team: Our sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. The Opportunity: Datadog is the monitoring and analytics platform for developers, IT teams and business users in the cloud age. We're scaling our Inside Sales team to help IT and Technology leaders recognize Datadog’s impact in their digital transformation and migration to the cloud. This is an opportunity to bring a proven product, loved by thousands of customers, to a multi-billion dollar market. You Will: Focus 100% on net new logo acquisition Manage the full sales cycle Run and partner with Sales Engineers on demos Use tools such as Sales Navigator and ZoomInfo Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users You Are: Focused on hunting and closing net new logos A top performer with a history of success Bold on the phones, and creative in your emails Able to strategic

Datadog is seeking a strategic, data-driven, and collaborative Area Vice President, Enterprise Security Sales to lead our Enterprise Security Sales organization and scale Datadog’s security business through a tightly integrated co-sell motion with Enterprise Account Executives. This senior leader will own the Enterprise Security strategy, ensuring security resources are deployed effectively to influence pipeline creation, deal progression, and multi-product adoption across Datadog’s largest and most strategic enterprise accounts. This senior leader will be responsible for driving market expansion and establishing Datadog as a trusted strategic partner to CISOs and security leadership teams. The role sits at the intersection of GTM design, sales execution, cross-functional orchestration, and customer value creation—ideal for a leader passionate about scaling high-growth security businesses. 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: Recruit, build, manage, and develop a world-class team of Enterprise Security Directors and Enterprise Security Sales Specialists. Own Enterprise Security revenue contribution and influence targets, ensuring consistent attainment through effective co-selling with Enterprise AEs. Inform and evolve Datadog’s Enterprise Security overlay strategy, including coverage models, specialist-to-AE ratios, rules of engagement, and prioritization frameworks. Define and own the Enterprise Security pipeline generation strategy within a co-sell / overlay model, establishing clear rules of engagement for when and how Security Specia

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem. What you need We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted. It’s important for candidates to check off these boxes: Systems engineering experience, including Linux

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in Toronto, ON hybrid. Successful candidates will have the following qualities: 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Experience developing distributed systems and cloud services Experience with at least one modern statically typed programming language, and interest in working with Java Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Have the opportunity to lead projects and own subsystems Provide input on the team’s roadmap and help determine the architecture of our system Success measures: In 3 months you’ll have a solid high-level understanding of what our team does and how we operate.

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. The position will be based in our Sydney office. The standard work week post ramping will be Tuesday to Saturday, every week. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, wh

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. Successful candidates will have the following qualities: 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Experience developing distributed systems and multithreaded applications Experience with at least one modern statically typed programming language, and interest in working with Java Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Have the opportunity to lead projects and own subsystems Provide input on the team’s roadmap and help determine the architecture of our system Success measures: In 3 months you’ll have a

Enterprise Customer Success Managerとして、Datadogの中でも最大規模かつ戦略的に重要な顧客を担当し、プロダクトの健全な活用促進と、ポジティブな顧客体験の実現をリードしていただきます。 Datadogでは、オフィスカルチャーを大切にしています。人と人との関係性やコラボレーション、そこから生まれる創造性を重視し、ハイブリッドワークを通じて、一人ひとりに合ったワークライフバランスを実現しています。 主な業務内容（What You’ll Do） SalesおよびTechnical Solutionsと連携し、オンボーディングから活用成熟フェーズまでのプロダクト利用促進を主体的に推進 新規顧客のオンボーディングプロセスをオーナーとして設計・推進・プロジェクト管理 顧客のサクセスプランを策定し、主体的に管理・実行 Datadogへの投資価値・成果について、意思決定者と継続的に認識をすり合わせ 顧客組織内のキーパーソン・影響力のあるステークホルダーとの関係構築・維持 社内の各部門（Sales、Support、Enablement、Product、Finance、Legal）との密な連携 利用状況データをモニタリング・分析し、更新機会やリスクの早期把握 顧客のプロダクト活用および健全性（Customer Health）の最終的な責任者として対応 求める人物像（Who You Are） B2B SaaSにおけるCustomer SuccessまたはAccount Managementの実務経験3年以上 大手エンタープライズ顧客を含むアカウントポートフォリオの担当経験 顧客の課題・目的・優先順位を理解するためのディスカバリーを主導できる方 複雑な内容を分かりやすく伝え、顧客の課題・目的と結びつけて説明できる高いコミュニケーション力 また、相手に応じてメッセージを柔軟に調整できる方 スピード感のある環境で、自身のスキルを継続的に高めながら、チームのベストプラクティス形成にも積極的に関与できる方 必要に応じて顧客訪問やイベント対応のための出張が可能な方 本ポジションでは、日本国内およびグローバルの社内関係者・社外のお客様とのコミュニケーションが発生するため、日本語・英語ともに、読み書きおよび会話においてビジネスレベル以上の語学力をお持ちの方 Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 利益と成長： 最高のオンボーディング MEDDICとCommand of Messageの営業研修 包括的な企業文化、コミュニティ・ギルドに参加する機会 社内ネットワークのための部門内メンターおよびバディ・プログラム 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 新規雇用株式（RSU）および従業員株式購入制度（ESPP） 手厚く競争力のある福利厚生パッケージ 上記の福利厚生と成長は、雇用国やDatadogでの雇用内容によって異なる場合があります。 #LI-Hybrid 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 Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to

MongoDB is seeking a Staff Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. This engineer will also work on our Atlas Data Federation & Archiving product. Atlas Data Federation & Archiving allows customers to move data from hot to cold storage and run federated queries over that data. We are forming a new Atlas Clusters team in the Dublin area. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office working model. What you’ll do Build and design new features for MongoDB Atlas and Atlas Data Federation & Archiving Contribute to and lead complex technical projects Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 10+ years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc) Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new module and maintained it in production Is eager to solve tough problems Has excellent communication skills Is curious, collaborative, and motivated Success Measures In 3 months, you'll have shipped code into production and c

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem. What you need We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted. It’s important for candidates to check off these boxes: Systems engineering experience, including Linux perfo

#LI-KO1 コマーシャル・セールス・チームのアカウント・エグゼクティブとして、中小規模の市場において戦略的に新規顧客を獲得し、クロージングすることで、Datadogのビジネス全体の成長に貢献します。確立されたセールス・メソッドとプロセスに沿って営業活動を進め、社内にいる複数の関係者と協力し、顧客独自のニーズを特定し、Datadog製品の価値を明確に伝えます。アカウント・エグゼクティブとして確実なキャリアを構築しながら、Datadogのコマーシャル・セールス・チームとして、一緒に成功を掴みましょう！ Datadogでは、オフィスカルチャーによって築かれる人間関係やコラボレーション、そこからもたらされる創造性を大切にしています。私たちは、従業員それぞれに合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド・ワークプレイスとして運営しています。 業務内容： アウトバウンドでの営業活動による新規顧客（ロゴ）獲得に注力 継続的かつ充実した製品・セールスのトレーニングを通じて、Datadogのエキスパートになる 技術面なデモや交渉などを含めた、すべての販売サイクルを担当する セールス・デベロップメント・チームと協力し、潜在顧客の開拓活動を推進する CTO・CIOや、エンジニアリング・ITのリーダー層、技術系エンドユーザーを戦略的に開拓する 募集要項： IT製品のフィールドセールス経験（クロージング含む）が2年以上 好奇心旺盛で新しいテクノロジーに関する知識習得への高い意欲 限定されたやり方に捉われず、クリエイティブな新規開拓活動ができる フィードバックから学び、継続的に成長し続けるマインド テクニカルな製品の取り扱いや、ペースの速い環境での業務に慣れている 営業KPI達成の経験があり、高い実績がある Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 福利厚生と成長機会： 個々のパフォーマンスと成果に基づく豊かな報酬体系 新入社員への株式付与（RSU / 譲渡制限付株式ユニット）および従業員株式購入制度（ESPP） 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 MEDDICとCommand of Messageに関する丁寧な営業研修 社内ネットワーク構築のためのメンターおよびバディ・プログラム インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金（401K） ペットの養子縁組と保険プログラム 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 世界中のすべての候補者様にご理解頂けるよう、応募情報に関する項目は一部、英語のままで記載されています。全ての求人情報を英語でご確認されたい場合は、 こちら をご覧ください。 #LI-Hybrid 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 Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyon