Senior Software Engineer in Massachusetts

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. You will: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs 6+ years of experience Bonus points: You've worked at high scale with systems like Redis, Cassandra, Kafka You wrote your own data pipelines once or twice before You have a strong background in statistics You have significant experience with Go, C, or Python You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualificat

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 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: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. Datadog values peo

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. 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 in-house subject matter expert for Datadog’s LLM Observability product Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: You bring a strong software engineering foundation, with hands-on experience bu

Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for 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 Own and evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI

What You Will Achieve A Senior Scientist (R 4 ) position is available in the Upstream Process Development group within the Bioprocess R&D organization. The successful applicant will join a team of scientists and engineers focused on developing and optimizing manufacturing processes for recombinant proteins and other modalities for early- and late-phase human clinical trials. In this role, the candidate will be responsible for designing and executing laboratory experiments in bench-top bioreactors and associated scale-down equipment with the goal of developing robust, scalable, and high productivity processes. The work will also involve collaborating with pilot, clinical, and commercial production facilities to ensure accurate technology transfer, successful large-scale production and associated regulatory filing activities. The candidate may also be involved in cutting edge technology development projects that seek to improve production processes and control strategies leveraging various process analytical technologies. How You Will Achieve It Design and execute

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You’ll own the strategy and execution for Datadog’s AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own and drive the roadmap for Datadog’s AWS Serverless observability products, including Lambda, Fargate, and Step Functions Define how developers monitor, debug, and operate serverless systems across distributed environments Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers Engage with customers to understand serverless adoption patterns and validate product direction Define and track success metrics such as adoption, usage, and impact on developer workflows Who You Are: 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability Strong understanding of distributed systems, cloud-native architectures, and modern application development practices Familiarity with serverless technologies, containers, Kubernetes, or microservices environments Comfortable working closely with engineers and discu

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. The Product Solution Architecture team works closely with Datadog customers, Datadog’s Product management, engineering and Tech Solutions teams to help architect and implement the Datadog Solution. The team has grown to cover more than 12 Product Categories and needs a highly motivated, results-oriented individual to help lead the team. 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: Manage a team of expert individual contributors, working with Engineering and Product Management on their Product, who help create best practices for adoption of Datadog at scale. Assist in recruiting and hiring of top talent for the team. Mentor/coach new hires during on-boarding to ensure proper ramping of skills and capabilities Ensure that your team is aligned to top company initiatives and enabled to work with various Datadog internal and external stakeholders Deliver performance reviews along with collaborating on and executing individual development plans Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Sales, Support, Partners and Customers Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization Participate in Executive Brief conversations with high profile customers and prospects about overall architecture, Observability Best Practices and industry trends Who You Are: 10+ years of experience solving complex problems for customers and a strong kno

Senior Partner Program Manager - Datadog Reseller Program Remote (US) or New York, New York, USA We're looking for an experienced Senior Partner Program Manager to own partner pricing strategy, partner deal support, and pricing enablement across Datadog's Channels & Alliances organization. In this role, you'll serve as the subject matter expert for partner pricing, helping shape how Datadog structures, operationalizes, and scales partner pricing across its ecosystem. You'll act as the primary liaison between Channels & Alliances and Deal Desk, ensuring partner-specific pricing requirements, commercial frameworks, and program considerations are represented in Datadog's broader pricing strategy and processes. You'll support both internal teams and external partners by providing guidance on pricing models, deal structures, incentives, and commercial programs. You'll also own pricing enablement for the partner organization, developing training content and onboarding programs that help Partner Sales Managers confidently navigate Datadog's evolving pricing landscape. This is a highly cross-functional role that requires deep experience with Deal Desk, partner commercial models, and SaaS pricing, along with the ability to translate complex pricing concepts into scalable programs, tools, and training. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Own global partner pricing for the Datadog Partner Network Serve as the Channels & Alliances subject matter expert for partner pricing, commercial frameworks, and deal strategy Act as the primary liaison between Channels & Alliances and Deal Desk for partner-related pricing, discounting, incentives, and program requirements Advise Partner Sales Managers (PSMs) and partners on pricing models, deal structure

Senior Product Manager - Search Datadog’s Search team helps users – both human and agents – find answers to their questions. Search is a critical function in Datadog, and touches many product surfaces: the query editors in product homepages and dashboards, search bars for finding relevant assets, the global cmd+k navigation search, and the MCP tools that our Bits AI agent uses to respond to natural language prompts. Search is a full-stack team: owning user-facing search components, backend search ranking systems, and machine learning models to produce recommendations. The Search team is relatively new, and still growing. We have recently built out agentic search tools, and we are looking for a leader to help us expand to ambitious orchestration systems that deliver accurate results, and proactive recommendations across both keyword and semantic search. Beyond this, you’ll have room to influence how Datadog thinks about Search as a strategic surface. What you’ll do: Define and deliver how Datadog's AI agents discover the right context and tools to answer natural-language questions accurately and at scale Stay on top of industry trends in UI and agentic search experiences and capabilities Collaborate with Applied AI teams to integrate ranking, personalization, and recommendation models that scale across both human and agentic users Define and monitor KPIs for search quality, adoption, and downstream impact on user productivity; use them to drive data-informed decision making Engage directly with customers and internal product teams to deeply understand search journeys across query editors, global navigation, and natural-language agent interfaces Who you are: You have experience with search, ranking, or recommendation systems You are familiar with or very interested in MCP servers and differences between human and agentic UX You have a sharp eye for design and strong opinions on the micro-interactions — keyboard navigation, autocomplete behavior, loading

Datadog is seeking a Senior Payroll Specialist to keep up with our rapidly growing company. In this role, you will support the payrolls either directly through Workday and ADP or indirectly via a PEO (Professional Employer Organization) for the Americas (Canada, Mexico, and Brazil).. The individual will work closely with the internal team and with local payroll providers in order to securely process payroll within specified deadlines. You will also play a key role in supporting the company’s equity events by coordinating with the Equity team for stock based compensation including Restricted Stock Unit releases, Non Qualified Stock Options, and Employee Stock Purchase transactions, ensuring accurate tax withholding, regulatory compliance, and timely reporting. Most importantly, you will collaborate with our People and Finance teams to continue to scale this critical function. 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 Manage the preparation and processing of payroll, ensuring data accuracy and meeting of deadlines. Handle all government reporting requirements for payroll taxes, withholdings and employer contributions. Manage regional payroll partners and PEO, including defining KPIs and standards they are required to meet. Liaise with payroll counterparts in APAC and EMEA to ensure global consistency of payroll processes and practices. Partner with the Benefits team on all matters involving benefits. Partner with the HRIS team for configuration and testing of new codes, tax withholding configurations, inbound/outbound integrations, and all other payroll related projects involving Workday. Partner with Finance stakeholders bridging the relationship between Payroll and Finance functions and support audits, identify and implemen

Datadog is looking for a visionary Senior Leader of Sales Engineering (SE) to lead and scale a high-performing team of SE Directors in North America across Enterprise, Majors, and Public Sector accounts. This is a strategic leadership role with regional and global impact. You will define the Sales Engineering strategy for North America and act as a regional voice in global discussions with Product Management, Engineering, and Go-To-Market teams—ensuring that customer needs in North America influence Datadog’s global direction. 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 Executive Leadership & Organizational Growth Recruit, develop, and lead a team 3rd line SE Directors, fostering a culture of technical excellence, customer-centricity, and continuous growth. Define and drive the technical sales strategy across North America, and globally. Set the vision, priorities, and operating model for Sales Engineering, ensuring alignment with Datadog’s business objectives and local market dynamics. Partner with Sales Leadership to align on revenue targets, go-to-market initiatives, and strategic customer engagement across the region. Represent North America Sales Engineering globally, ensuring regional perspectives and requirements are reflected in Datadog’s product roadmap and GTM planning. Customer Partnership & Advocacy Act as a trusted advisor to C-level and senior technical executives, demonstrating how Datadog solves critical observability, performance, and security challenges, especially given the rapid business adoption of AI. Provide executive support for high-stakes opportunities, offering guidance throughout complex sales cycles. Serve as an executive sponsor for strategic customers across North America. Promote value-based technical s

ROLE SUMMARY: The key strategic focus within the Internal Medicine Research Unit (IMRU) is identifying novel therapies to prevent or treat metabolic diseases such as obesity and cardiovascular disease. Our goal is to build a world-class research team of dedicated scientists committed to developing a deep mechanistic understanding of the metabolic pathways underlying disease pathogenesis. As a senior scientific leader and member of the obesity discovery biology team, this individual will play a significant role in shaping the scientific direction for the obesity therapeutic area and influencing broader IMRU research strategy and portfolio priorities. The individual will help create and drive discovery research strategy across multiple programs, including target ideation, validation, translational biomarker strategy, hypothesis testing, and early clinical development within the IMRU obesity portfolio. The successful candidate will lead through both direct team leadership and influence across multidisciplinary partners, helping align scientific decisions across discovery biology, translational sciences, clinical, computational, and external collaborators. The individual will identify emerging therapeutic opportunities, advance portfolio programs with scientific rigor and urgency, and represent research strategies to internal leadership and the external scientific community. Knowledge and experience in the study of metabolic pathways are essential, and familiarity with the pathophysiology of dysmetabolic states would be advantageous. Strong self-motivation, excellent communication and interpersonal skills, and the ability to lead, mentor, and build scientific capability in a highly collaborative environment are essential. ROLE RESPONSIBILITIES: Shape and influence the scientific direction for discovery research programs aligned with IMRU therapeutic area and portfolio strategy. Ap

We are seeking a Head of Executive Search to build and lead a centralized, specialized function responsible for global leadership hiring across sales, marketing, technical solutions, and G&A. This role will bring consistency, rigor, and strategic ownership to Senior Director, VP, and SVP hiring while partnering closely with executive stakeholders to deliver high-impact talent outcomes. You will elevate assessment and decision-making practices, develop proactive executive talent pipelines, and generate market intelligence that informs hiring and organizational strategy. This is a high-visibility opportunity to shape how Datadog attracts, evaluates, and hires senior leadership globally, with potential to expand scope to Director+ and executive-level searches over time. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own end-to-end strategy and execution for Senior Director, VP, and SVP searches, with dotted line to APAC Recruit highly confidential searches end to end, taking on execution responsibilities when needed Build and lead a specialized executive search team, including defining operating rhythms and performance expectations Establish and operationalize a standardized leadership hiring playbook, including executive assessment frameworks, confidentiality protocols, and stakeholder governance Partner directly with C-suite, VP, and SVP stakeholders to drive alignment, calibration, and high-quality hiring decisions Develop proactive, long-term pipelines for critical leadership roles while producing market intelligence to inform talent and organizational strategy Define and execute an agency engagement and executive candidate closing strategy to reduce external spend and deliver a high-touch candidate experience Who You Are: Expe

Datadog is seeking a Payroll Specialist to keep up with our rapidly growing company. As a Payroll Specialist, you will support the US payroll process for over 3000 employees. Direct responsibilities will include facilitating the semi monthly payroll for salaried exempt and nonexempt employees. The Payroll Specialist will review accuracy and partner closely with senior team leads to ensure payrolls are processed in a timely fashion. You will also be responsible for providing administrative support across our Canada, and Latin America population. Most importantly, you will collaborate with our People and Finance teams to continue to scale this important function. 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 payroll team stakeholders to analyze data entry feeds while also supporting the semi-monthly payroll process from start to finish, ensuring employees are paid correctly and on time within our Workday payroll module. Understand the US payroll function and process payroll according to internal accounting principals and regulatory requirements. Process new hires, terminations, status changes, tax changes, domestic and international transfers, 401k contribution feeds and changes, timesheet data, compensation changes, employee personal information changes, retroactive adjustments, garnishments and supplemental payments entered into Workday HRIS. Resolve payroll discrepancies by running and analyzing Workday data reports. Directly involved in processing of equity transactions inclusive of restricted stock units (RSU), non-qualified stock options (NSO), incentive stock options (ISO), disqualified dispositions and all other equity related transactions. Collaborate with Finance stakeholders to support audits, identify and