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Principal Product Manager for Elastic Security who manages enhancement request pipelines for strategic enterprise accounts, translating CISO and SOC-level needs into coherent product direction across SIEM/SOAR/XDR security solutions.
Principal Product Manager owning the relationship between Elastic Security's product org and its most strategic enterprise accounts—managing enhancement request pipelines, prioritizing customer needs, and translating them into product direction for SIEM/SOAR/XDR security platforms.
Optimizes compute resources for Elastic’s cloud-hosted and serverless workloads, ensuring seamless scaling across 60+ regions via capacity modeling, autoscaling frameworks, and cross-team collaboration.
The Senior Customer Architect acts as a trusted technical advisor to ensure customers successfully adopt and derive value from the Elastic Search AI Platform. They define technical success plans, eliminate friction, and collaborate with internal teams to drive product consumption and customer satisfaction.
Lead full-stack engineer at Elastic building features across UI, APIs, and integrations on the Salesforce platform, leveraging AI-assisted development tools like Cursor and Claude Code daily.
Design and build front-end interfaces for generative and agentic AI experiences at Elastic, using React, TypeScript, and the Elastic Stack (ESRE, EUI, Agent Builder) to create streaming, conversational, and multi-modal AI user interfaces for internal enterprise products.
The AI QA & Evaluation Engineer will design and implement testing frameworks, evaluation rubrics, and CI/CD pipelines to validate the accuracy, reliability, and safety of GenAI solutions. The role involves collaborating across engineering teams to monitor model performance, mitigate hallucinations, and ensure compliance with data governance standards.
The Consulting Architect will serve as a technical authority helping enterprise customers design, optimize, and scale complex Elasticsearch cluster topologies. The role involves hands-on work with AI-powered semantic search, performance tuning, and cloud-native infrastructure to ensure successful deployments.
Senior Solution Architect at Elastic helps customers and partners adopt the Elastic Stack for search, security, and observability, acting as a technical advisor and trusted bridge between sales and engineering.
Lead the product vision and roadmap for Elastic’s self-service cloud growth, focusing on user onboarding, trial activation, and product-led growth strategies for Elastic Cloud.
Customer Architect at Elastic helps clients adopt and expand usage of Elastic’s search, observability, and security solutions, aligning technical deployment with business goals while driving customer success and revenue growth.
Partner Solution Architect at Elastic helps technical partners in EMEA integrate and sell Elastic’s AI-powered search, security, and observability platform, traveling up to 30% to co-architect solutions and drive adoption.
Build and ship full-stack features for Elastic Cloud’s admin UX, using React, TypeScript, and Node.js while owning production operations and AI-assisted development workflows.
Senior Solutions Architect at Elastic designs and advocates for the Elastic Stack (search, security, observability) to customers and partners in Sydney, aligning technical solutions with business goals.
Partner Solutions Architect at Elastic builds technical capacity in partners (SI, resellers, MSSPs) to sell and deliver Elastic’s search, security, and observability solutions, driving partner-sourced deals and co-innovating repeatable solutions.
Build and optimize backend services in Java for Elastic’s AutoOps platform, integrating APIs, RESTful services, and the ELK stack while troubleshooting performance and stability issues.
Build and optimize Elastic’s cloud networking layer (Ingress, DNS, private connectivity) using Go and Kubernetes tooling to scale secure, low-latency interactions with Elasticsearch and Kibana.
Senior Software Developer on the Elasticsearch Performance team, optimizing distributed search and AI retrieval systems through profiling, benchmarking, and code-level improvements in Java/JVM.
Senior Software Engineer on the Elasticsearch Performance team, profiling and optimizing a large-scale distributed search engine using Java/JVM, benchmarking tools, and AI-assisted workflows.
A Principal Software Developer focused on performance tuning for Elasticsearch, leading architectural and code-level performance engineering initiatives, optimizing distributed systems, and developing performance models and methodologies for complex systems.
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