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Data Analytics Engineer Jobs

8,357 active opportunities · Updated for October 2026

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Explore current data analytics engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Datadog
📍 New York• Full-time• From $280K/yr
1mo ago

Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We’re looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog’s leadership in AI observability. 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 vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for

machine learningaigo
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D
1mo ago

チャネル&アライアンスチームでは、経験豊富なパートナーセールスマネージャーを募集しています。長期的な成功を見据え、リージョナル/グローバルのシステムインテグレーター(SI)、マネージドサービスプロバイダー(MSP)、付加価値再販業者(VAR)などのチャネルパートナーを開拓・育成し、新規顧客獲得、導入促進と収益拡大をリードしていただくポジションです。 チャネル&アライアンスチームは、ベストオブブリードのマルチクラウドモニタリング製品に向けて、戦略的かつ差別化されたハイインパクトなパートナーエコシステムを構築・推進しています。シニアパートナーマネージャーとして、リージョナル/グローバルのシステムインテグレーター(SI)、マネージドサービスプロバイダー(MSP)、付加価値再販業者(VAR)などのチャネルパートナーを開拓・育成し、新規顧客獲得と収益拡大をリードしていただきます。 Datadogはオフィス文化を大切にしています。対面での関係構築やコラボレーション、そして創造性の醸成を重視し、ハイブリッド勤務制度を採用することで、各自が最適なワーク・ライフ・ハーモニーを実現できる環境を整えています。 業務内容: 収益成長を促進する新たな戦略的チャネルパートナーの特定・リクルーティング トレーニング、事業計画、共同販売活動を通じた既存パートナーの有効化・活性化 戦略的パートナーシップローンチにおける技術・マーケティング面の調整・推進 パートナーとの定期的なビジネスレビュー実施、説明責任の確保と成功指標の報告 Datadogの各営業組織および関連部門との緊密な連携 パートナー起点の新規商談パイプラインおよび収益の創出 募集要項: クラウドサービスまたはSaaS企業において、パートナー向けのビジネス開発、戦略的アライアンス、またはチャネル営業に10年以上従事した経験 リード獲得からクロージングまでの営業機会創出、契約交渉、目標達成、長期的パートナーシップ構築の実績 技術的なコンセプトやアーキテクチャシナリオを迅速に理解し、口頭・文書で的確に説明できる能力 主要クラウドMSPパートナーもしくはSIパートナーのマネジメント経験(尚可) 年間20〜30%程度の出張対応が可能な方 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。 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) プレジデント・クラブへの参加機会 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。 #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.

aigorust
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D
1mo ago

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. 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 Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to

sqlpostgresqlmysql
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D
Datadog
📍 New York• Full-time• From $280K/yr
1mo ago

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

aigorust
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D
Datadog
📍 Japan• Full-time
1mo ago

コマーシャル・セールス部門のチームマネージャーとして、中小企業をターゲットにした新規顧客(ロゴ)の開拓とクロージングに取り組むコマーシャル・アカウント・エグゼクティブたちに戦略やメンターシップを提供し、成功までの確実な道のりをハンズオンでリードします。Datadogにとって最大の事業分野のひとつで、長期的には、高い実績と評価を誇る Datadog 製品を数十億ドル規模の市場にもたらします。 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: チームのモチベーションを高め、目標を達成させる フォーキャスティングにおける高い正確性と一貫性を保つ チームメンバー(アカウント・エグゼクティブ)の採用と育成 アウトバウンド活動によるリードジェネレーションなどのセールス・アクティビティと、健全なパイプラインの作成・維持の促進 新メンバーの立ち上げをサポートし、成功まで導く 見込顧客から契約に至るまでのセールス・ファネルをモニタリングし、パフォーマンス改善のためのメトリクスを作成する 募集要項: 革新的なテクノロジーを有する企業での直販営業経験(SaaS、Cloud、インフラストラクチャーまたは類似の領域が望ましい) クロージングを含めたアウトバウンドセールスチームをマネジメントした実績 チームメンバーの業績に対する正確なフォーキャスティング能力 コーチング、メンターシップ、チームマネジメントの重要性を理解している 継続的な学習意欲と、メンバーの成長をサポートすることへの高いモチベーション 成長速度が早く、変化の激しい市場で活躍するセルフスターター 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) プレジデント・クラブへの参加機会 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 opp

aigorust
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Senior Enterprise Customer Success Managerとして、Datadogの中でも最も重要度の高いエンタープライズ顧客を担当し、プロダクトの健全な活用と優れた顧客体験の実現を牽引していただきます。 Datadogでは、Enterprise Customer Success Managerと同様に、オフィスカルチャーとハイブリッドワークを重視しています。 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戦略的な活用促進を主導 新規顧客オンボーディングの全体設計およびプロジェクトマネジメント 顧客サクセスプランの策定・管理・高度化 Datadogへの投資価値・成果について、エグゼクティブレベルの意思決定者と継続的にアライン 顧客組織内で影響力を持つステークホルダーとの戦略的関係構築 • 社内のクロスファンクショナルチーム(Sales、Support、Enablement、Product、Finance、Legal)との連携 利用状況データの分析を通じた更新機会・リスクの特定 顧客活用・健全性の最終責任者としての対応 チームメンバーや他部門と連携し、ベストプラクティスの構築・展開をリード 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5年以上(技術者向け顧客対応の経験があれば尚可) 大規模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において、豊富な実績をお持ちの方 顧客の課題・目的・優先順位を深く理解するためのディスカバリーを高いレベルで実行できる方 複雑な概念を分かりやすく伝え、顧客の課題・目的に結びつけるエキスパートレベルのコミュニケーション力かつ、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、チーム全体のレベルアップに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 日本語:読み書き・会話ともに流暢 英語:読み書き・会話ともにビジネスレベル以上 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 Dat

aigorust
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M
Mongodb
📍 Austin• Full-time• From $1.3M/yr
1mo ago

We're looking for a high-energy, detail-oriented, and hands-on individual to join the Revenue Team as a Senior Revenue Manager. This role will be based out of our Austin, Palo Alto or NYC office and will primarily be responsible for determining appropriate accounting treatment for new product offerings, analyzing and reviewing complex revenue transactions, continually refining our revenue recognition policies, providing direction on technical revenue accounting issues and articulating accounting impact to our business partners during product rollouts. In addition, this role will participate in month-end and quarter-end close activities and be responsible for leading and mentoring a small team remotely. To be successful, this individual must have the ability to adapt quickly, make decisions autonomously, operate effectively in a rapidly scaling, dynamic environment and align well with MongoDB’s core values. This is a great opportunity to join and grow with a strong accounting team at a high growth, enterprise software company! Team Description The Revenue team is an extremely visible, high-performing team, ultimately responsible for accurate financial reporting of revenue. The team is responsible for managing the monthly close, contract negotiation, and determining appropriate accounting treatment for our product offerings. Additionally, this team is responsible for designing and maintaining controls over-reporting of revenue and assisting in quarterly forecasting activities for revenue and billings. This role will report directly to the Director of Revenue. Candidate Profile Bachelor's degree in Accounting (CA/CPA preferred) with at least 9+ years of experience in a similar role at public, high-growth SaaS or technology company Prior experience with revenue close operations and reconciliation process including working with sales data, customer contracts and product offerings Deep expertise in ASC 606 Experience in hiring, managing, and mentoring hi

mongodbawsazure
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D
Datadog
📍 South Korea• Full-time
1mo ago

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

aigorust
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M
Mongodb
📍 Palo Alto• Full-time• From $164K/yr
1mo ago

We are seeking a highly skilled Staff IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation and decision support. The ideal candidate has a proven track record of managing enterprise-scale AI/ML products, collaborating across IT and business functions, and delivering measurable impact. We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model. Key Responsibilities AI Product Strategy & Roadmap Define and execute the internal AI product strategy aligned with enterprise IT and business goals Own multiple product lines in the internal AI product space Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data) Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making) Experience in implementing AI solutions for enterprises our size and scale. This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences Product Management Execution Embrace the product mindset and own the lifecycle of AI products—from ideation, critical user journey definition, requirements gathering, vendor evaluation, prototyping, and implementation to scaling in production Define and manage product backlogs, roadmaps, and success metrics Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience) Stakeholder Engagement Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives Communica

mongodbawsazure
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1mo ago

As a TPM for SRE, you will partner with SRE leaders and engineers to scale the platform that underpins all of MongoDB’s cloud products. You will drive program execution, strengthen production reliability practices, and coordinate cross-functional efforts across US and EMEA teams. Success in this role means smoother launches, clearer roadmaps, stronger reliability metrics and an SRE organization that's better-equipped to deliver predictability at scale. This role can be based out of our Dublin or Cork office or remotely in Ireland. What You'll Do Drive Program Planning & Execution – Define program scope, milestones, and success criteria with SRE engineers and leaders. Manage dependencies across platform teams, keep work clearly tracked in Jira, and deliver on time Strengthen Production Reliability – Lead change management and launch readiness programs. Partner with SREs and product teams to define and operationalize SLOs/SLIs, and use incident data, metrics, and capacity signals to drive prioritization and continuous improvement Lead Cross-Functional Coordination – Align SRE with Security, Compliance, Cloud platform, and other engineering teams. Coordinate cross-team incident response, ensure clear follow-through, and build trust as the go-to driver of complex, multi-team efforts Build Scalable Systems & Processes – Design lightweight frameworks and communication patterns that help SRE deliver reliably at scale. Work yourself out of the "hero" role by leaving teams better-equipped to execute independently Requirements 8+ years in technical program management, engineering management, or a comparable technical role partnering with software engineering teams Proven track record leading large-scale, cross-team platform initiatives through ambiguity and change Strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs, SLIs) Skilled at shaping roadmaps and managing dependencies Able to query and interpret

mongodbawsazure
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Mongodb
📍 Sydney• Full-time
1mo ago

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

javascriptpythonjava
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Role Overview Own the end-to-end technology strategy and roadmap for the Partner, Customer success, Professional Services and Customer Support organizations, translating business objectives into scalable, AI-native platforms. Lead a small team of Product Managers while staying hands-on across solutioning, architecture, and delivery. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Key Responsibilities Partner Technology Own the Partner Center technology roadmap spanning cloud provider integrations, partner attribution & telemetry, and incentive/MDF management Drive build-vs-buy decisions for the Partner platform in direct partnership with Partner leadership Deliver solutions that support the full partner lifecycle: onboarding, co-sell, information sharing, support, progress tracking, and program management across Resellers, Technology Partners, ISVs, and Cloud Marketplaces Align partner technology with Sales, Partner Ops, and Partner Specialist workflows Customer Success Technology Own the Customer Success technology stack supporting CSMs across the full customer lifecycle: onboarding, adoption, expansion, and renewal Partner with Customer Success leadership to translate business objectives into scalable tooling and automation Enable CSM productivity through health score visibility, account intelligence, and proactive risk alerting Ensure tight integration between Customer Success platforms and Sales, Support, Billing, and Product systems Drive adoption of AI-assisted workflows for CSMs including next-best-action recommendations, sentiment signals, and churn risk indicators Customer Support Technology Own the Customer Support technology stack to enable customer support team with right tooling, including AI/agentic infrastructure, ETL/data pipelines, Workforce Management, and customer engagement tooling (chat, voice, workflow automation) Partner with Technical Support, Customer Success, and Professional Services to al

reactmongodbaws
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1mo ago

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

aigorust
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We are looking to speak to candidates who are based in Gurugram for our hybrid working model. About the Role We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns. You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data. The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI. Key Responsibilities Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs al

pythonmongodbaws
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Mongodb
📍 Gurugram• Full-time
1mo ago

We are seeking a Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maint

pythonjavamongodb
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