Senior Lead Jobs

The Opportunity Datadog is looking for a strategically-minded and action-oriented Senior Sales Curriculum Manager to design, deploy and scale global Sales Enablement programs for our Enterprise Sales and Mid-Market Sales teams. Reporting to the Senior Manager, Enablement Curriculum and working with a cross-functional Enablement team, you will identify business needs and work with stakeholders to plan, build and implement best-in-class learning experiences. This role relies on a blend of instructional design expertise, sales acumen and data-driven decision making. 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. Who you are: An owner: You take pride in your outputs and their outcomes. You take ownership from strategy through execution and consistently deliver measurable results. An innovator: You enjoy challenging the status quo by bringing new ideas to the table and looking for ways to improve what already exists. An agile problem solver: You shift seamlessly between detail and big picture to meet the moment, adapting to change with a solutions-oriented mindset. A lifelong learner: You challenge assumptions and use curiosity to drive continuous improvement. A trusted advisor: You ask sharp questions, synthesize complex ideas, and build relationships to understand and explain ambiguous concepts. A clear communicator : You bring structure, clarity and polish to your work - whether it’s written, verbal or visual communications. What you’ll do: Own and evolve the curriculum strategy for Enterprise and Mid-Market Sales globally, aligning enablement investments to revenue priorities and performance outcomes. Build and maintain role-specific learning journeys (including onboarding, everboarding and on-demand resources) for Enterprise Account Executives, Mid-Market Account Execu

As the Senior Product Manager for Network Path, you’ll own the vision, roadmap, and execution for how our customers visualize, monitor, and troubleshoot network traffic across complex hybrid and cloud environments. You’ll work closely with a diverse set of Network, DevOps, and SRE teams to understand how they manage their infrastructure, what challenges they face regarding network visibility and routing, and how our product can help them better observe, isolate, and remediate latency, packet loss, and connectivity issues across the public internet, cloud providers, and private data centers. In addition, you’ll work with product teams across the organization to identify opportunities to create integrated experiences—bridging the gap between infrastructure monitoring, application performance, and network health—and you’ll partner with engineers, designers, and go-to-market teams to drive adoption across thousands of 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: Define the strategy and pioneer new ways to visualize end-to-end network paths. You will determine how we capture, analyze, and map complex routing data to give customers a true hop-by-hop view of their network traffic. Own the core Network Path roadmap, ensuring deep coverage for cloud-native networking (e.g., AWS VPCs, Transit Gateways), SD-WAN, and traditional on-premise routing topologies. Explore ways to combine flow and metrics to provide a holistic view of network health and pinpoint the problem. Partner with Product Marketing to articulate the business value of network path monitoring, showing customers how improved visibility directly correlates to reduced MTTR and optimized cloud egress costs. Identify opportunities to build intelligent alerting and root-cause analysis c

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

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

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in London for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to tec

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Senior Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 5+ years of experience building production-quality systems software Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture. Interest in the theory and practice of high-availability, security-critical systems Position Expectations Design, implement, and operate production

The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper. This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript) that customers use to manage their backups. Common project themes are performance, scaling, and ease of use. We are looking to speak to candidates who are based in New York for our hybrid working model. We're looking for someone who is Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Fond of chasing down tough problems in a distributed systems environment Cool under pressure - has wrangled production crises, and secretly finds this a little fun Experienced with Linux, and able to correlate application performance problems with underlying hardware limits Comfortable working across the stack of a modern web application Always striving to expand their knowledge Curious, collaborative and intellectually honest Responsibilities Work closely with product teams, considering the user’s perspective while helping the team achieve success Collaborate with team members over best practices and core concepts Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development Own our

The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking a Senior Software Engineer to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who Has at least 5 years of experience as a backend or full stack engineer Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend Has written backend systems in a compiled language (Java, C#, Go, etc.) Has experience with the design and architecture of a modern, scalable web application Enjoys chasing down difficult problems in a distributed environment and on an database diagnostic/operation level Always strives to expand their knowledg

Overview Responsible for US tax provisioning and compliance and reporting under ASC 740, including deferred tax analysis and FIN48 documentation. Also handles tax compliance, filings, audits, reconciliations, and support for tax systems and reporting tools. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Key Responsibilities: Tax Provisioning & Reporting: Prepare global income tax provisions in accordance with ASC 740, including deferred tax assets/liabilities analysis. Prepare accurate quarterly and annual tax provision calculations to meet internal and external reporting requirements. Prepare analysis and documentation of income tax positions in compliance with FIN48 (Accounting for Uncertain Tax Positions). Federal, State, and Local Tax Filings: Prepare federal, state, and local income tax returns. Track tax filing deadlines and prepare submissions in a timely manner Compliance & Audit: Support external audits and assist with the preparation of responses to inquiries related to the tax provision. Prepare schedules, documentation and other necessary information as requested by external auditors. Track U.S. and international tax developments and prepare analysis of their impact on the company’s tax positions. Tax Data & Analytics: Reconcile tax accounts and rollforward balances for month-end, quarter-end and year-end close processes. Assist with tax provision software implementation, configuration, and system upgrades. Qualifications: Education & Experience: Bachelor’s degree in Commerce, Accounting, or Finance (CA qualified, CA Inter or equivalent qualification in taxation/finance is preferred). Minimum of 4 years of experience in income tax accounting and tax compliance (either in public accounting firms, corporate finance, or other relevant roles). Skills & Competencies: Proficient in tax compliance software/tools (e.g., OneSource, Corptax, Alteryx) and Microsoft Excel. Tec

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the produ

About Voyage AI Team at MongoDB Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions. Position Overview We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Responsibilities Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers Innovate in next-generation information retrieval and LLM agent paradigm Collaborate closely with other research scientists and research engineers as well as peers across the organization Qualifications PhD degree in Computer Science or related field Strong background in machine learning, deep learning, and natural language processing Familiarity with training distributed training of neural networks for language and visual understanding What We Offer Opportunity to work on real-world problems at the cutting edge of AI research Opportunity to utilize research vision to innovate the entire company and make real-world impact Exposure to the full lifecycle of AI model development, from research to production Our compensation (base + equity) for this position is competitive with frontier AI labs About MongoDB

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate for this role will have 6+ years of engineering experience in backend systems, distributed systems, or core platform development. Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning. Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) Exposure to client-side technologies such as JavaScript and React is a plus Good understanding of algorithms, data structures and their time and space complexity Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and wri

The Senior Relationship Account Management (Sr. RAM) team is focused on driving long-term partnerships with MongoDB’s mature customers, creating expansion & evangelism in the process. This team was established ~2 years ago and continues to grow and scale with our expansion to APAC. We are looking for someone who can thrive with a high level of ambiguity and change while maintaining a customer centric approach at scale for our customers across Asia Pacific. Individuals within Sr. RAM org have a passion for technology that delivers business outcomes and understand how to retain and grow clients through a focus on their success. In this role you will act as the primary point of contact for your customer base and leverage the MongoDB ecosystem to help drive expansion and retention of a customer portfolio. As a Sr. RAM you will be responsible for success, education, enablement, upsell/cross-sell, renewal and everything in between. We are looking to speak to candidates who are based in Gurugram or Bengaluru for our hybrid working model. Experience 2+ years of quota- carrying Account Management or New Business sales experience SaaS or technology background; demonstrated ability and interest in managing client relationships end-to-end Has held responsibility for clients with complex use cases and multiple stakeholders across renewal, upsell and expansion into new business units Excels at juggling competing priorities while executing on targets and KPIs Our ideal candidate will have 8+ years of work experience, of which at least 4+ years of quota-carrying experience in Sales or Account Management, or similar customer-centric role with direct revenue responsibility. Enterprise account experience is a plus A proven track record of hitting sales targets; this role will be responsible for expansion/upsell AND renewal/retention The ability to execute on activity and pipeline expectations and published standards of excellence Outstanding verb

The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education. We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred) Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring less-senior engineers Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration Strong experience operating production Kubernetes clusters, not just deployed to it Has practical experience defining and operating against SLI/SLOs for services they owned Str