Support Jobs

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 an Employment Counsel to join our growing global Employment Legal team. In this role, you will serve as a trusted legal advisor to the People team, business leaders, and cross-functional partners on a broad range of employment law matters impacting our workforce and culture. While your primary focus will be supporting our U.S. operations, you will also contribute to global initiatives and projects as the company continues to scale. This role offers the opportunity to influence strategic people decisions while partnering across a fast-paced, collaborative technology organization. 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: Advise the People team and business leaders on a broad range of U.S. employment law matters, including recruiting, hiring, performance management, accommodations, leaves of absence, employee relations, investigations, compensation, terminations, restrictive covenants, and wage and hour compliance. Draft, review, and provide legal guidance on employment-related documents, including offer letters, contractor agreements, separation agreements, and employment policies. Partner cross-functionally with Legal, People, and business stakeholders to develop compliant employment practices and support strategic company initiatives. Provide employment law support throughout mergers, acquisitions, and post-close integration activities. Assess legal risk, recommend practical business solutions, and support decision-making on complex workforce matters. Monitor changes in employment laws and regulations and help implement policies and processes that promote ongoing compliance. Who You Are: J.D. from an accredited law school and an active member in good standing of a U.S. state bar (New York preferred). At least 4 years of experien

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing technical expertise and delivering compelling solutions to our customers. You will work closely with our enterprise sales engineers and sales team to identify customer needs, craft go to market strategy, demonstrate the value of Datadog's security solutions, and ensure customer satisfaction. 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 will do: Support the Enterprise Security Sales team in driving adoption of Datadog’s security offering within target strategic accounts. Collaborate with the broader sales team to identify and understand security requirements across Datadog’s Enterprise customer base. Conduct detailed product demonstrations and presentations, showcasing the capabilities and benefits of Datadog's security solutions. Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives. Develop and maintain a deep understanding of Datadog's security products, industry trends and current vulnerabilities, staying updated with the latest features and enhancements. Assist in the creation of technical proposals, documentation, and other sales materials. Work closely with the product management and engineering teams to relay customer feedback and influence product development. Participate in industry events, conferences, and webinars to promote Datadog's security solutions.. Who You Are : Bachelor’s degree in Computer Science, Information Technology, or a related field. Deep experience with SIEM platforms and detection pipelines, SOC workflows (alert triage

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. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. 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, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together. W

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

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems. Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours for each time-zone. We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience in data intensive environments Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases B.Sc in Computer Science or similar field, or equivalent practical experience Experience in C++ and in developing database systems is a plus Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Position Expectations Understand and improve current functionality of the MongoDB query engine Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work with other engineers to

MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they're broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing. MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have 2+ years of professional software development experience in Java or another programming language Experience with generative AI and specifically LLMs is highly desirable Experience with text processing engines such as ANTLR is highly desirable Strong understanding of software engineering, system design, data engineering and/or cloud architecture Have experience with compiler design, code parsing or related areas Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis Curiosity, a positive attitude, and a drive to continue learning Actively engages in emerging trends and research relevant to product features Excellent verbal and written communication skills Position Expectations Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract

The Recruiting team is responsible for growing our teams at Datadog with great people in multiple technical and business areas. Our Recruiters are strategic business partners, matchmakers, sellers, and marketers who have strategic relationships with the leadership team. As an Emerging Talent Recruiting Coordinator, you have a high-impact role with significant visibility and the opportunity to make a real difference in Datadog's future as you support hiring efforts for technical intern and early career positions. 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: Organize all facets of a candidate’s interview process: scheduling interviews, managing communication workflows, sending offer letters and managing onboarding tasks at a high volume during peak recruiting season Coordinate end-to-end logistics for the intern program, including travel, onboarding, recruiter meetings, manager feedback, and conversion offers Manage job opening and job posts in our applicant tracking system, ensuring all externally publicized information is accurate and compliant Provide exceptional experiences for all candidates Partner with Global Intern Program Manager to plan and execute intern events, partnering with external vendors for offsite events and internal Office Ops and IT teams for onsite activities. Support the training of new interviewers to scale interview panels Assist with interviewer capacity planning to ensure a smooth and efficient hiring process &

MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user

MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they're broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing. MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have 2+ years of professional software development experience in Java or another programming language Experience with generative AI and specifically LLMs is highly desirable Experience with text processing engines such as ANTLR is highly desirable Strong understanding of software engineering, system design, data engineering and/or cloud architecture Have experience with compiler design, code parsing or related areas Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis Curiosity, a positive attitude, and a drive to continue learning Actively engages in emerging trends and research relevant to product features Excellent verbal and written communication skills Position Expectations Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract

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

MongoDB continues to grow incredibly fast. This is the perfect opportunity to roll up your sleeves and have a positive impact at a hyper-growth company. We’re looking for someone who is excited to join a team where they can proactively identify and implement systems and process improvements to help grow and scale the business. In this high impact role, you will work closely with executives and internal functions including Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance and Accounting, and HR to improve and establish processes and systems for our next stage of growth. Shift Timings: 6:00 PM-2:00 AM -Night Shift (Cabs will be provided) We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities: We are looking for a highly motivated Sales Commissions Analyst to play a key role within MongoDB’s Sales Compensation Team. This highly visible position is key to supporting the continued rapid growth of the Company and will be primarily responsible for administration & analysis of the Global Sales Incentive Plans. We are looking for someone who is detail oriented with excellent organizational and time management skills. Excellent verbal and written communication, and collaborative skills are also required to interface in a cross functional teaming environment with various levels of management. This is an excellent opportunity for a sharp, eager professional passionate about working in a dynamic environment with one of the fastest growing companies in the Database Market. Responsible for the administration of MongoDB’s Global Sales Compensation Plan in Xactly Incent, including timely electronic distribution and acceptance tracking of plans Responsible for the calculations of MDB compensation plans to ensure payments are accurate, complete, and in compliance with company policy and practice Partner with Sales Operations and Sales Finance to maintain and deploy worldwide annual compensation pl

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. What you’ll do Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment Drive strong engineering practices across code quality, documentation, release managem

Job Summary This role reports to the Senior Manager, Global Real Estate Transactions, and sits within the Global Real Estate team responsible for MongoDB's portfolio of 60+ office and flex locations worldwide. The team includes Transaction Management and Project Management functions, working closely with Legal, Procurement, FP&A, and Workplace/IT partners. Lead all aspects of the real estate transactional and operational process within the India / Asia Pac region including but not limited to; the development of real estate strategy, defining & optimizing space requirements, site selection, negotiations, improvements and property management. We are looking to speak to candidates who are based in Gurugram and Bengaluru for our hybrid working model. Requirements for the Role Geographic coverage: focus on Asia Pacific / India Region with transaction support to MongoDB Real Estate (RE) team on global Flex office transactions 5+ years of Corporate Real Estate transaction/portfolio management experience with MNC Experience influencing and driving results through external partners including leading cross-functional teams across multiple projects. Experience in financial analysis and modelling Experience applying AI tools to real estate portfolio management and reporting (e.g. AI-assisted lease abstraction, portfolio analytics, forecasting, or reporting/dashboard automation) strongly preferred Fluency in English required, strong written and verbal communication skills Analytical in approach. Process and detail-oriented Strong customer service and interpersonal skills Ability to lead and drive change and operate across the region Demonstrated ability to manage and prioritize a heavy workload with changing requirements. Ability to engage with and influence senior stakeholders and local business leaders Solid organizational skills Responsibilities: Execute on Asia Pacific / India flex real estate plans to deliver on key RE portfolio metrics Support Global Transact