Jobs at Datadog

Leads product marketing across APM, DEM, and Developer Tools, overseeing strategy, positioning, go-to-market direction, competitive intelligence, launches, campaigns, enablement, and customer programs. Builds and develops product marketing teams, manages people managers, partners with executive stakeholders, translates technical products into differentiated narratives, and drives portfolio growth through data-informed prioritization and operational excellence.

Conduct an end-to-end AI research project with Datadog AI Research and Carnegie Mellon University. The intern will frame problems, train and evaluate models using GPUs and large-scale data, run experiments, collaborate with DAIR mentors and a faculty advisor, publish findings, and potentially transition successful research into production systems.

Lead the design and delivery of next-generation frontend technology at Datadog. Responsibilities include coaching engineers, leading major product and website redesigns, owning core customer experiences, coordinating cross-team technical initiatives, and developing high-complexity, high-performance interactive browser applications. The role requires strong UI/UX judgment, experimentation expertise, architectural leadership, and deep React experience.

Manages and improves global legal processes through automation, AI adoption, system integrations, SOPs, reporting, and cross-functional programs. Oversees legal technology such as Brightflag and Salesforce, supports outside counsel operations, develops dashboards and forecasts, and promotes responsible use of AI with sensitive data. The role also contributes to shared-services coverage and process standardization across the Legal team.

Own the roadmap for Infrastructure-as-Code detection capabilities that identify high-impact infrastructure, cost, blast-radius, and configuration changes before production deployment. Define user experiences across Datadog and developer workflows, collaborate with Engineering, Design, AI, and customers, drive adoption and product-market fit, and establish quality standards for coverage, correctness, and user trust.

Leads technical sales strategy for enterprise accounts, guiding discovery, product demonstrations, solution workshops, and end-to-end technical evaluations. Partners with account executives, influences executive and technical stakeholders, develops champions, resolves customer blockers, and translates Datadog capabilities into measurable business outcomes. The role also contributes to product feedback, operational excellence, peer mentoring, and regional enablement. Requires advanced cloud, Kubernetes, observability, security, and developer-experience expertise, with customer travel as needed.

Deliver onboarding, ongoing training, reinforcement, coaching, and certification programs for Sales and Customer Success teams across AMER. Partner with sales leaders and cross-functional enablement teams to adapt global programs, diagnose field needs, facilitate live and virtual sessions, and drive measurable behavior change. Use field feedback, performance data, project management tools, and AI to improve enablement effectiveness. The role requires strong facilitation, sales methodology knowledge, technology industry familiarity, relationship-building, independent execution, and approximately 25% travel.

Supports enterprise sales leadership across the Americas by analyzing business performance, identifying revenue and sales-effectiveness opportunities, planning headcount and territories, managing KPIs, and executing strategic initiatives. Partners with Sales, Marketing, Customer Success, and other teams on operating rhythms, forecasting, QBRs, process improvements, and cross-functional projects. Requires strong analytical, communication, stakeholder-management, and problem-solving skills, plus experience in GTM operations, consulting, investment banking, or SaaS.

The Sales Revenue Analyst supports global sales commissions and new business revenue recognition. Responsibilities include optimizing commission strategies, analyzing incentive plans, reviewing deal structures and pricing, maintaining reporting for quotas and territories, developing sales compensation programs, and improving revenue and CRM dashboards. The role partners with Sales, Finance, Growth, Strategy, and senior leadership to deliver scalable operational and analytical solutions.

Software Engineering Interns contribute to Datadog’s observability and security platform by building and improving backend, frontend, infrastructure, data engineering, and developer tooling systems. Responsibilities include developing distributed and cloud-native services, addressing performance and scalability challenges, delivering technical projects from design through deployment, and collaborating with experienced engineers and mentors.

Lead a five-engineer Coordination Systems Storage team responsible for distributed configuration storage and distribution systems. Manage prioritization, delegation, ceremonies, incidents, root cause analysis, and operational excellence initiatives. Remain hands-on through feature development, remediation, investigations, performance optimization, and profiling. Collaborate with internal platform stakeholders while improving reliability through gamedays, operational reviews, validation, and proactive incident prevention.

Handle complex customer escalations involving usage metering, billing anomalies, cloud cost management, quotas, overages, and telemetry attribution. Partner with Product, Engineering, and Finance to investigate issues, improve billing transparency, develop diagnostics and playbooks, train global Solutions teams, and communicate cost impacts to technical and business stakeholders.

Manage the vulnerability lifecycle across Datadog’s multi-cloud environment, including detection, impact assessment, prioritization, remediation, and verification. Build AI-assisted automation, tools, and workflows that reduce engineering toil and address vulnerabilities earlier in the SDLC. Analyze remediation failures, identify root causes, partner with security and engineering teams, and provide vulnerability-management expertise for SOC 2, HIPAA, PCI, FedRAMP, and ISO compliance.

Own the vision, roadmap, packaging, pricing, quality metrics, and launch of Bits Release, an agentic software release validation product. Partner with customers, engineering, design, finance, marketing, advocacy, and sales to build trusted developer experiences, evaluate AI agent reliability, support production validation, and take the product from preview to general availability.

Build and manage global commercial customer success curricula, including instructor-led materials, eLearning, facilitator guides, job aids, assessments, practice, and reinforcement. Translate business goals into measurable learning objectives and observable behaviors. Partner with program managers, operations teams, facilitators, subject matter experts, and test audiences to deliver high-quality programs on schedule. Maintain content after launch, analyze learner data, and use AI responsibly to improve content creation and feedback analysis.

Lead and grow a data engineering team responsible for allocating cloud costs to products and customers. Own reproducible, versioned metric publication for Finance, platform-team cost contracts, coverage onboarding, identity mapping, and cost-to-revenue joins. Drive roadmap delivery across teams, improve cost accuracy and coverage, reduce key-person risk, and use AI tooling to increase engineering productivity.

Manage full-lifecycle recruiting for General and Administrative roles, including sourcing, candidate screening, interview process design, candidate communication, compensation negotiation, and closing. Partner with leadership and train interview teams while maintaining accurate candidate data and reporting in Greenhouse. Deliver a strong candidate experience throughout the hiring process and manage multiple openings independently.

Develop and execute go-to-market strategies, quota and capacity planning, KPI frameworks, incentive design, and revenue growth initiatives. Analyze sales data, build models and dashboards, identify channel efficiency trends, and support senior GTM leaders with strategic decision-making. Lead cross-functional operational projects involving Sales, Marketing, Strategy, and Product while managing multiple priorities and presenting insights to executive stakeholders.

Develop and scale Datadog’s integrated executive thought leadership program across regions and channels. Build playbooks, operating frameworks, and repeatable processes; identify speaking and media opportunities; coordinate with communications, social, marketing, and regional teams; shape executive messaging for major business moments; and measure program effectiveness. The role requires exceptional writing, executive ghostwriting, stakeholder influence, and strategic communications experience in B2B technology or SaaS.

Design, build, and operate high-throughput data pipelines supporting billing and cost attribution. Drive Spark optimization, latency reduction, sharding, cross-datacenter reliability, and new billing capabilities. Investigate billing accuracy issues with Finance and Product teams, participate in on-call rotation, and improve engineering standards and operational excellence.