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You’ll demo and explain Datadog’s observability platform to prospects, run technical evaluations, and relay customer feedback to the product team to shape future features.
Lead a team building Datadog’s Infrastructure as Code and Secrets security products, integrating AI into engineering workflows while owning roadmap, staffing, and hands-on technical contributions.
Lead a team maintaining Datadog’s security libraries (.NET, Java, Go, Node.js, Python, Ruby, PHP) and proxy integrations, driving exploit prevention, WAF detections, and AI-assisted capabilities for runtime security products.
Lead the evolution of Datadog’s visual identity and brand systems, building scalable Figma-native libraries and guidelines that enable consistent, high-impact brand expression across campaigns, digital experiences, and customer touchpoints.
Build AI-powered collaborative notebooks for data analysis and incident response, integrating LLM tools to enhance user workflows and bridge Datadog’s observability platform with AI agents.
Own the product vision for Journey Monitoring, a unified observability hub that combines RUM, Synthetics, and Product Analytics to track user journeys, conversions, and uptime across tech stacks.
Lead the design and delivery of Datadog’s Observability Data Platform, building shared capabilities for cost intelligence, operational tooling, and developer experience to reduce friction and improve reliability.
Owns go-to-market strategy and content for Datadog’s Incident Response suite, launching features and enabling sales with demos, blogs, and battlecards while driving customer stories and cross-channel campaigns.
Lead a team of Applied Scientists building AI/ML features for Datadog’s Product Analytics suite, including event understanding, conversational analytics, and session-replay issue detection.
You’ll advocate for Datadog’s service-management tools by creating demos, writing, speaking, and partnering with engineering to educate users on observability and incident response.
Drive Datadog’s most complex, cross-functional programs by engineering automation, AI-powered risk detection, and end-to-end lifecycle solutions to reduce manual coordination and accelerate delivery.
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