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Recruiter at Datadog sources, screens, and hires talent for enterprise roles, managing the full recruitment lifecycle and candidate experience.
Recruiter in Tokyo who sources, screens, and hires talent for Datadog’s global observability and security platform, using Greenhouse and hybrid-office culture.
A security-focused sales engineer at Datadog demonstrates and sells the company’s security solutions to enterprise customers, leveraging expertise in SIEM, cloud security, and DevOps practices.
Design and implement secure Kubernetes and service mesh architectures for a cloud-scale observability platform, using Go/Python/Rust to harden multi-cloud infrastructure and enable secure AI adoption.
Advocate for modern app development by creating technical content, open-source tools, and feedback loops to help developers integrate observability with AI workflows and cloud platforms.
Builds a new AI-powered data analytics product at Datadog, defining the roadmap for a context layer, governance, and query experience to replace inconsistent one-off AI answers with trustworthy, governed insights.
Own the product vision and roadmap for Datadog’s Network Path feature, defining how customers visualize, monitor, and troubleshoot network traffic across hybrid and cloud environments using observability tools.
Leads cross-functional People programs at a SaaS observability company, partnering with HR, Finance, and leadership to improve employee experience and operational effectiveness.
Senior Sales Engineer in São Paulo who demonstrates Datadog’s observability platform to enterprise customers, runs technical evaluations, and gathers product feedback to help close deals.
Senior Sales Engineer at Datadog partners with enterprise customers to demonstrate and sell observability solutions, driving technical evaluations and closing complex deals while collaborating with cross-functional teams.
Senior cloud security architect designs and implements Datadog’s Security and Cloud SIEM solutions for customers, aligning deployments with frameworks like NIST and SOC 2 while guiding hands-on technical engagements.
Build and scale Datadog’s observability platform, designing high-performance backend systems and leveraging AI tools to enhance engineering workflows and products.
Build and scale Datadog’s observability platform backend, handling trillions of data points daily while integrating AI tools to improve engineering workflows and product capabilities.
Build and maintain large-scale distributed systems and data pipelines that process billions of events per second, using Go, Java, Rust, or C++ and technologies like Kafka, Redis, and Cassandra.
Build and optimize Datadog's referential data platform (REDAPL), a high-scale graph engine tracking infrastructure resources and relationships for observability and security products.
Lead the design, training, and deployment of GenAI/ML models to build agentic troubleshooting and incident-resolution tools for Datadog’s Application Performance Monitoring product.
Senior Staff Visual Designer at Datadog to define and evolve the company's visual language and design system for AI-driven product surfaces, collaborating with brand, product, and design systems teams.
Owns go-to-market strategy and technical messaging for Datadog’s cloud-native security products, collaborating with product and sales teams to drive adoption and competitive differentiation.
Designs and leads Datadog platform implementations for customers, guiding them from discovery through deployment using cloud and DevOps tools.
Define and enforce secure-by-default standards for Datadog’s platform, build scalable AppSec tooling, and lead threat modeling for AI-powered features using Go, Python, or Rust.
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