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Please note that the job is only available from the locations outlined. 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: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You

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: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You have worked extensively with multiple types of data stores. You have contribute

As a Director, Commercial Sales you will provide strategy, mentorship, and guidance for Commercial Sales Managers and their direct reports, ultimately furthering the growth of our organization. This role impacts one of the largest lines of business in the company, ultimately bringing a proven product to a multi-billion dollar market. 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: Forecast performance based on team productivity Hire, oversee, and train a team of Commercial Sales Managers Facilitate the ramp up for all new team members, coaching them to success Develop and monitor effective outbound prospecting strategies to increase customer acquisition Evaluate trends to identify areas for improvement and surface best-practices Provide regular and accurate revenue forecasting to your leadership team Cross-collaborate with stakeholder departments to actualize on go-to-market strategies, develop training curriculum, and meet hiring goals Who You Are: Experienced in 6+ years of hi-tech, cycle direct sales Able to accurately forecast team performance Passionate about coaching, mentorship, and team management Proven in overseeing first-line managers in all areas of the sales cycle Customer-centric with a strong track record of developing satisfied customers Successful in working cross-functionally, leveraging strong organizational and time management expertise 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 experience, we encourage you to apply. Benefits and Growth: High income earning opportunities based on performance Opportunity for Presidents Club New hire stock equity (RSU) and employee stock purchase

Senior Mid-Market Account Executive As a Senior Mid-Market Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers mid-to-large size markets (1000-5000HC). Senior sellers work majority autonomously following a well-defined framework and methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales, develop as individual contributors or into leadership, and continue contributing to Datadog team success. 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, in the office three days per week, to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Focus entirely on net-new logo acquisition; proven in and committed to self-prospecting Leverage tools such as Sales Navigator and DiscoverOrg and the established framework and methodology in place Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users Manage complex and lengthy deal cycles autonomously Collaborate seamlessly across the business including with SDRs to drive top of funnel activity, with Sales Ops, Engineering, Project Management, and more Manage the full sales cycle, including negotiations and on-site technical demonstrations Leverage the ecosystem, network, partners environment </ul

As an Enterprise Customer Success Manager, you will be responsible for driving the healthy adoption and positive experience of some of Datadog’s largest and most strategic customers. 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: Partner with Sales and Technical Solutions to proactively drive adoption from onboarding through to maturity. Own and project manage the on-boarding process for new customers. Discover, own and manage the customer’s success plan. Ensure consistent alignment with decision makers on the impact of their investment in Datadog. Proactively build and maintain targeted relationships with people of influence throughout the customer base. Collaborate cross-functionally with internal Datadog teams (sales, support, enablement, product, finance, and legal). Monitor and analyze usage trends to uncover potential renewal opportunities and risks. Act as the primary owner of customer adoption and health. With demonstrated understanding of observability and security platforms, align customers technical and business objectives to our platform offerings Who You Are: 3+ years in a Customer Success or Account Management role in B2B SaaS. Experience working with a portfolio of accounts that included large Enterprise. Experienced in driving discovery to understand your customers key pain points, objectives and priorities. Excellent in communicating complex concepts and aligning them to the pains and objectives of your customers. Experienced in shifting your message effectively to align with the expectations of the audience. You’re excited to work in a fast paced environment, where you’re expected to consistently develop your skill set and play an active role in the development of the team’s best practices. Able to t

About the Role We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. Key Responsibilities Data Strategy & Roadmap Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates Systems Design & Solution Leadership Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns

Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the success of complex Search Query feature development. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework. Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our query language, performance, and operability Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background Experienced in the development and maintenance of stateful distributed systems Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in debugging and profiling multithreaded applications written in Java and Rust Bonus: experience with designing high-volume query engines, such as a datab

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

About the team 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 Service Engineers are specialists in the entire MongoDB ecosystem - database server, drivers, our management suite, as well as services such as Atlas , Cloud Manager, Compass to name a few. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor. Shift Information: We are looking to speak to candidates who are interested in working out of our Palo Alto, CA office under our in-office working model Monday to Friday for the first 3-6 months depending on ramping speed Once considered ramped, they will transition to a permanent Wednesday - Sunday 8am-5pm work week (with 3 in-office days) to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability 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 In this cross‑functional role as a Technical Services E

MongoDB is helping define the next era of application development as organizations modernize legacy systems, build AI-native experiences, and power mission critical workloads across cloud, hybrid, and on-premises environments. From MongoDB Atlas, our AI ready developer data platform, to our industry leading server technology and enterprise software offerings, MongoDB provides a flexible and unified software stack that helps customers build faster, scale with confidence, and support a wide range of modern application needs. MongoDB’s standing in the market reflects that momentum: the company continues to be recognized as a leader in cloud database management while also serving organizations that require the performance, flexibility, and control of self-managed deployments. For candidates, that means the opportunity to join a company with strong market relevance, a builder-first culture, and a clear strategic focus on shaping the future of modern, intelligent applications wherever they run. We’re looking to speak to candidates based in Palo Alto, California for our hybrid working model. Life in MongoDB Technical Services As part of the Support organization, you will be directly interfacing with our largest customers and their most difficult problems. There will almost certainly be sweat. But don’t worry – you’ll have time to prepare before you take on your first escalation. The limits of your understanding will constantly be pushed, and you’ll be challenged to grow. Underlying it all is the fuel that drives our team: customer obsession. We keep mission-critical deployments online, recover from high-pressure incidents with grace and humility, become trusted advisors, and work so closely with our customers that they would swear we were part of their team. These are just a few of the things you can expect to do as a Technical Services Engineer: Become well-versed in core aspects of MongoDB Gain deeper expertise in specialized areas of the product Combine technical

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours. Responsibilities: Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services Qualifications: You might be a great fit if you match some of the following: 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations

MongoDB is hiring a Senior Manager, M&A Integration to help build and run the operational backbone for how MongoDB integrates its acquisitions, translating each deal thesis into a durable business outcome. As the Senior Manager, M&A Integration, you’ll help ensure acquisitions are integrated successfully and that the value outlined in each deal is realized. You may provide input during diligence to help flag integration risks, and you will lead integration planning and execution from LOI through post-close for assigned deals, reporting to the Chief of Staff to the CFO and partnering closely with our Corporate Development team. You'll coordinate across every functional team involved in a deal — Legal, HR, Finance & Accounting, IT, Go-to-Market, Marketing, and Product & Technology. You and the Chief of Staff together will support the Integration Management Office (IMO): defining workstreams, building the master integration plan, and supporting governance cadence for each deal. This is a hands-on execution role with real ownership of individual deal integrations. You’ll help build out MongoDB’s integration playbook – standard plans, checklists, templates – turning deal-by-deal efforts into more consistent, repeatable practices alongside the Chief of Staff. This role is ideal for someone who has led M&A integration workstreams before and knows how to bring structure to the ambiguity of a newly closed deal. You know how to drive cross-functional execution without formal authority, operate with autonomy within a defined framework, move fluidly between Day 1 planning, synergy tracking, and status reporting, and take ownership of outcomes rather than waiting to be told what to do. This role may flex across multiple concurrent deals depending on the pace of acquisitions. This role can be based in New York City, Austin, or Palo Alto for our hybrid working model or remotely in the United States. What You'll Do Integration Strategy & Planning Partner wit

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our Dublin office, or work fully remotely in Ireland. Responsibilities: Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services Qualifications: You might be a great fit if you match some of the following: 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes A deep understanding of Linux and networking concepts,

MongoDB is seeking a Business Operations & Strategy Senior Analyst to join a small, high-impact team working on some of the company’s most important strategic and financial priorities. You will work directly with senior leaders across finance, product, and analytics, including regular exposure to C-suite on high-stakes questions that shape how MongoDB scales. The scope spans strategic planning, business case development for new products, and partnerships with AWS, Google Cloud, etc.. This role is ideal for someone with strong analytical horsepower, structured thinking, and executive presence who wants meaningful ownership and direct visibility into major business decisions. This role is a hybrid / in-office role, with approximately two to three days per week in our New York City Office. Responsibilities Own high-priority strategic and operational initiatives that shape MongoDB’s growth, efficiency, and long-term scale Develop executive-facing business cases and recommendations for key product and infrastructure decisions, including scenario analysis and trade-off evaluation Manage vendor relationships and contract negotiations with hyperscalers (AWS, Google Cloud, Microsoft Azure) Partner with Finance, Product, and other cross-functional teams to evaluate business performance, surface key drivers, and translate ambiguous questions into structured analyses Build and refine gross margin analyses and forecasting frameworks across MongoDB’s core and emerging businesses Requirements 2-5 years of experience in business strategy and operations, preferably at least 2 years as a management consultant or at a data-driven product/technology company Outstanding problem-solving skills and the ability to structure ambiguous business questions into clear analyses and actionable recommendations Strong executive communication skills, with the ability to distill complex findings into concise, compelling narratives Advanced Excel and PowerPoint skills (or Google Suite

At MongoDB, our Account Development team works closely with our partners in both Sales and Marketing to build fanatical customer enthusiasm around MongoDB. SDR reps are responsible for identifying and qualifying new opportunities for our sales organization. We view our Account Development program as the best way to turbocharge a long and successful career in sales and view our Sales Development Representatives (SDRs) as the next wave of Account Executives at MongoDB. The Opportunity Being an SDR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our SDRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here. Our SDRs gain an understanding of our product, community, who we sell to, why they care, and what makes us relevant. They learn how to generate a pipeline quickly and effectively as well as how to achieve a good discovery and qualification. The team is a crucial resource for sales teams across MongoDB to get great talent from. This helps us scale our teams, as well as ensure that we have a culture of meritocracy. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Day to Day Identify high-potential businesses that would be a good fit to work with MongoDB across your region Work with the Sales team to develop and lead inbound and outbound campaigns from idea-generation through to qualified call Develop strong sales and product knowledge Interact with IT and business decision makers via telephone and email Update lead and prospect activity in Salesforce to ensure effective lead management Set qualified introductory meetings for the Sales team Nurture early phase opportunities for future