Applications Support Sr Analyst Jobs

The Agent Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. 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: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scie

We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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: Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams. Guide long-term strategy and technical direction for GenAI workflows across APM and related products. Build and benchmark GenAI/ML models using state-of-the-art techniques. Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, sc

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role The Device Experience team at HP IQ builds intelligent Windows applications that help people work more naturally with their PCs. We are looking for a senior engineer who enjoys creating thoughtful, visually compelling software. You will work closely with design and product to turn ambitious ideas into responsive interfaces, clear interaction flows, and dependable application behavior. Our work spans custom UI, animation, reusable controls, asynchronous workflows, and integration with local AI and system services. You will help deliver new experiences while improving the architecture of an existing application. AI coding assistants are an important part of how we work. We value engineers who use them effectively to investigate, prototype, implement, and test, and who take responsibility for the resulting code and user experience. Our primary stack is C#, .NET, and WPF, with WebView-based content and Windows platform integrations. What You Will Do Help shape features from the initial user problem through implementation and release. Turn designs and incomplete requirements

Job Summary: We are seeking a talented and motivated Full Stack Developer with strong experience in Spring Boot for backend development and Flutter for frontend/mobile application development. The ideal candidate should be capable of designing, developing, and maintaining scalable applications across both web and mobile platforms. Key Responsibilities: Design, develop, and maintain backend services using Spring Boot . Build cross-platform mobile applications using Flutter . Integrate frontend and backend systems to ensure seamless user experiences. Collaborate with UI/UX designers, backend engineers, and product managers to deliver high-quality products. Write clean, maintainable, and well-documented code. Implement RESTful APIs and work with third-party APIs and services. Conduct unit testing, code reviews, and performance tuning. Troubleshoot and debug applications to optimize performance and ensure reliability. Required Skills and Qualifications: Proven experience as a Full Stack Developer or similar role. Strong proficiency in Spring Boot , Java (backend). Hands-on experience with Flutter and Dart for mobile app development. Experience with REST APIs, JSON, and Web Services. Familiarity with database technologies such as MySQL , PostgreSQL , or MongoDB . Understanding of Git version control and CI/CD pipelines. Experience in Agile/Scrum development processes. Strong problem-solving skills and the ability to work independently or in a team. Preferred Qualifications: Knowledge of DevOps tools and practices. Experience with cloud platforms like AWS, Azure, or GCP. Familiarity with front-end frameworks (Angular/React) is a plus. Knowledge of state management in Flutter (Provider, BLoC, Riverpod). Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We’re seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences. RESPONSIBILITIES: Designing and architecting recommendation algorithms across various product surfaces Leverage all of SpaceXSI's infra and AI stacks to dramatically enhance the user experience Write data pipelines and training jobs that continuously learn from product data. Iterate and improve the algorithm by gathering user feedback in real time through experimentation Ensuring scalability and efficiency of machine learning systems BASIC QUALIFICATIONS: Knowledge of data infrastructure like Kafka, Clickhouse, and Spark Experienced in implementing recommender systems and/or deep learning applications at industrial scale Skilled in one or more DL software frameworks such as

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performance You are excited to work on

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL,

エンタープライズ企業向けのセールス・エンジニアとして、プレゼンテーション、製品デモンストレーション、および技術評価（POV）において技術的な専門知識を提供します。セールスエンジニアは、お客様やパートナーとの商談におけるソリューションのfeasibilityを判断し、商談を成功に導く役割を担うとともに、お客様、競合他社、パートナーからの意見に基づいて製品チームに機能の優先順位を提案する役割も果たします。 Datadogでは、人間関係やコラボレーション、そして創造性といったオフィスカルチャーを大切にしています。 業務内容： セールスチーム、テクニカルアカウントマネージャー、CSM、その他幅広いアカウントチームと協力し、Datadogの全体的な価値提案、ビジョン、戦略をお客様に説明する トライアルフェーズ中に顧客を技術的に支援する。Datadogの価値を伝え、特定された問題や懸念事項について顧客と協力して成功に導く 高度な業界知識、技術的スキル、およびお客様との信頼関係構築を通じて複雑な案件を技術的にクローズする 潜在的なお客様に対して製品および技術ブリーフィング／プレゼンテーションを提供する 製品のフィードバックや競合状況に関して、お客様およびDatadogのビジネス／技術チームと積極的に連携し、コミュニケーションを取る 募集要項： セールス・エンジニアリング（プリセールス）または関連する役割で3年以上の経験を持つ方 AWS、Azure、またはGCPのご経験がある方 DockerやKubernetesなどのコンテナ技術に関するご経験がある方 お客様にとってビジネス上重要な課題を特定し解決することに情熱を持ち、お客様と共に評価計画を構築し実行できる方 自発的に行動し、技術に精通したプロフェッショナルで、企業のビジネス要件を容易に理解し、Cレベルの役員、技術のエキスパート、そしてその間にいるすべての人に対して、Datadogの価値と技術的な詳細を説明できる方 文書及び口頭での優れたコミュニケーションスキルを持つ方。この役割には、当社の提供するビジネス上の価値と技術的な利点の両方を理解し、明確に伝える能力 次のいずれかのプログラミング／スクリプト言語での経験を持つ方：Java、Python、Ruby、Go、Node.JS、PHP、.NETなど 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： 最高のオンボーディング 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） 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） 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. Equal Opportunity at Datadog: Datad

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing a test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST and gRPC Build and maintain scalable and extensible data schemas using PostgreSQL, Clickhouse, etc. Contribute to front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular Ensure that applications are secure and adhere to industry best practices Continuously improve software development processes and practices Ideally, you'd have: Bachelor's degree in Computer Science or related field. At least 4 years of relevant work experience. Solid back

About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches ( ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive

This role can be based remotely in India. Position Summary We are seeking an exceptional Principal Technologist to join our team in India. This pivotal role will work closely with our account teams to engage with C-suite executives and senior technical leaders at MongoDB’s most strategic customers. You will bridge the gap between complex data architectures and AI to power business transformation, positioning MongoDB as the premier platform for modernizing legacy systems and building next-generation AI applications. As a recognized technical thought leader, you will shape industry perspectives through regular activities including high-impact technical evangelism and thought leadership, executive roundtables, presentations delivered to customers, keynotes at MongoDB and industry events, and regularly briefing tier-1 press, media, and analysts as a credible and trusted company spokesperson. Qualifications 10+ years of experience in customer and market-facing roles at the principal or Field CTO level Recognized technical leader with deep hands-on experience with enterprise-scale applications Influence & Scalability: Demonstrated success in scaling your technical influence and earned credibility. Experience speaking at major tech conferences, hosting technical webinars, or contributing deeply to the developer community (via technical blogs, open-source contributions, or whitepapers) is highly desired Deep portfolio and history of published content, presentations at events, interviews or quotes in the the press and media Executive Presence: Exceptional ability to command a room with credibility, deliver compelling keynote presentations, and influence technology strategies with a CxO audience Strong understanding of database architectures, distributed systems, and cloud computing concepts, with experience in distributed systems design, including scalability, fault tolerance, and consistency models Familiarity with modern application development frameworks and han

Experience 1-2 years Python Programming : Strong foundational skills in Python. Automation : Ability to automate tasks with Python scripts. Web Development : Basic knowledge of Flask or Django for building web applications. Database Management : Understanding of SQL and experience with databases like MySQL or SQLite. Version Control : Familiarity with Git for code management. Data Analysis : Experience with libraries like Pandas and NumPy. Testing : Basic knowledge of writing unit tests. Problem-Solving : Ability to troubleshoot and solve coding issues. Basic DevOps : Introduction to CI/CD tools and processes. Communication : Good verbal and written communication skills.

Experience 1-2 years Python Programming : Strong foundational skills in Python. Automation : Ability to automate tasks with Python scripts. Web Development : Basic knowledge of Flask or Django for building web applications. Database Management : Understanding of SQL and experience with databases like MySQL or SQLite. Version Control : Familiarity with Git for code management. Data Analysis : Experience with libraries like Pandas and NumPy. Testing : Basic knowledge of writing unit tests. Problem-Solving : Ability to troubleshoot and solve coding issues. Basic DevOps : Introduction to CI/CD tools and processes. Communication : Good verbal and written communication skills.

Experience 1-2 years Python Programming : Strong foundational skills in Python. Automation : Ability to automate tasks with Python scripts. Web Development : Basic knowledge of Flask or Django for building web applications. Database Management : Understanding of SQL and experience with databases like MySQL or SQLite. Version Control : Familiarity with Git for code management. Data Analysis : Experience with libraries like Pandas and NumPy. Testing : Basic knowledge of writing unit tests. Problem-Solving : Ability to troubleshoot and solve coding issues. Basic DevOps : Introduction to CI/CD tools and processes. Communication : Good verbal and written communication skills.

Experience 1-2 years Python Programming : Strong foundational skills in Python. Automation : Ability to automate tasks with Python scripts. Web Development : Basic knowledge of Flask or Django for building web applications. Database Management : Understanding of SQL and experience with databases like MySQL or SQLite. Version Control : Familiarity with Git for code management. Data Analysis : Experience with libraries like Pandas and NumPy. Testing : Basic knowledge of writing unit tests. Problem-Solving : Ability to troubleshoot and solve coding issues. Basic DevOps : Introduction to CI/CD tools and processes. Communication : Good verbal and written communication skills.