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Own the product vision and roadmap for Identity Threat Detection and Response (ITDR) at Elastic Security, building detection, investigation, and response features for human and non-human identities using AI-driven behavioral analytics.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by…
Principal Software Engineer leading performance tuning and optimization of Elasticsearch—profiling bottlenecks, building benchmarks, and driving architectural improvements across distributed, serverless, and vector search workloads using Java/JVM internals.
Leads architectural and code-level performance engineering for Elasticsearch, optimizing search, observability, and AI retrieval systems to ensure scalability, predictability, and high performance across distributed environments.
Leads architectural and code-level performance engineering initiatives for Elasticsearch, driving optimization, predictability, and scalability in distributed systems using Java, JVM internals, and performance tools like flamegraphs and JMH.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database, shaping search/AI tech for Fortune 500 clients. Owns vision, technical trade-offs, and cross-team alignment for vector indexing, retrieval quality, and developer-facing APIs.
Principal Product Manager owning XDR and exposure/vulnerability management strategy end-to-end at Elastic Security—defining roadmap, writing requirements for engineering and Security Labs, and engaging CISO-level customers. Core domain is XDR/EDR/SIEM with exposure prioritization and AI-augmented workflows on Elastic's unified data platform.
Principal Product Manager owning XDR and exposure/vulnerability management strategy and delivery for Elastic Security, working across detection, response automation, and exposure prioritization on Elastic's unified security platform.
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.
Principal Product Manager to define and execute the vision for Elastic's Agent Builder, enabling enterprises to build, manage, and scale context for AI agents using Elastic's search and AI platform.
Principal Java developer designing and optimizing Elasticsearch’s distributed, serverless search platform, focusing on scalability, resilience, and performance at petabyte scale.
Principal Software Developer designs and optimizes Elasticsearch's core storage and query engine for observability workloads, focusing on performance, scalability, and Java-based solutions.
Principal Software Engineer to lead the design and optimization of Elasticsearch's core storage and query engine, focusing on performance, scalability, and Java-based solutions for observability workloads.
Lead Elastic’s global security services practice, designing security offerings, guiding complex implementations, and aligning solutions with product roadmaps and industry trends.
Lead proactive threat hunting and adversary emulation to uncover hidden threats and stress-test detection pipelines using AI-assisted analysis and frameworks like MITRE ATT&CK.
Own the product vision and roadmap for Identity Threat Detection & Response (ITDR) at Elastic Security, defining how the platform detects, investigates, and responds to identity-based attacks across human and AI agent identities.
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.
Leads performance engineering for Elasticsearch, optimizing architecture and code to ensure high scalability, predictability, and predictability for search, observability, and AI retrieval systems used by Fortune 500 companies.
Lead performance engineering for Elasticsearch—architectural and code-level optimization, profiling, benchmarking, and building AI-assisted tools across a large-scale distributed search engine. Core tech: Java, JVM, Elasticsearch.
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