Lead technical direction for evaluating, improving, and scaling conversational/agentic search quality (RAG, agents, retrieval, citations, vector search). Define evaluation strategy (offline/online, metrics, LLM-as-judge), prototype and productionize evaluation pipelines and telemetry, influence product and model decisions, and mentor other data scientists and engineers. Requires 8+ years experience and hands-on skills with Python, PyTorch/Transformers, retrieval methods, and Elasticsearch.

Lead technical direction for evaluating, improving, and scaling chat quality across Elastic’s agentic platform. Responsibilities include defining evaluation strategy and metrics, designing experiments and A/B tests, improving retrieval and ranking (sparse/dense, vector search, re-ranking), productionizing evaluation pipelines and telemetry, and mentoring other scientists. Requires 8+ years applied DS/ML experience and hands-on skills with Python, PyTorch/Transformers, Elasticsearch, IR/NLP, and evaluation methodologies.

Lead technical direction for evaluating and scaling conversational search and agent quality (RAG, agents, tools, retrieval, citations, memory). Define evaluation strategies, metrics, and decision frameworks; prototype and productionize evaluation pipelines and telemetry; collaborate with engineering, product, and UX; mentor data scientists. Requires 8+ years applied DS/ML experience with expertise in IR, NLP, ranking, semantic search, RAG/LLM systems and hands-on experience with Python, PyTorch/Transformers, and Elasticsearch.

Elastic is hiring a Senior Partner Manager in South Korea to develop and drive execution of business plans with focus partners (VARs, Regional SIs, distributors, etc.), grow executive relationships, enable joint sales plays, manage pipeline and revenue cadence, and collaborate with cross-functional teams. Requires 8+ years in partner management/SaaS or open source technologies and willingness to travel up to 20%.

Role owners design and execute account-level ABM strategies and campaigns (1:1 and integrated programs) across technical and business buyers in the Americas. Requires 5+ years B2B marketing experience (2+ years in ABM/strategic field marketing), campaign ownership across channels (paid media, events, direct mail, content syndication), and familiarity with ABM platforms (Demandbase, 6sense, Userled), Salesforce, and Marketo.

Deliver multi-day virtual and on-site Elastic training courses and workshops, collaborate with Curriculum and Training Operations on course development and LMS improvements, mentor new instructors, and travel up to 60% (primarily within the US). Requires 2+ years education experience, fluency in English, and deep understanding of Elastic solutions.

Elastic seeks a Senior Solutions Architect focused on security/SIEM to design next-generation security solutions using Elastic Security and AI, deliver proof-of-value projects, and support consultative pre-sales activities. The role requires 5+ years in enterprise pre-sales, deep SIEM and SOC experience, forensic and threat-mitigation background, strong presentation and RFI/RFP skills, fluency in German and English, and travel of 30–50%.

Work on Elasticsearch’s distributed systems components to improve concurrent and consistent indexing, maintain cluster coordination for performance and safety, and scale shards, nodes, and petabytes. Requires strong background in distributed systems and consensus algorithms, deep Java knowledge, algorithmic proficiency, and experience owning and managing multi-engineer projects.

Role to improve Elasticsearch components for concurrent and consistent indexing, maintain cluster coordination, scale shards/nodes/petabytes, investigate performance and concurrency issues, and lead projects across multiple engineers. Requires strong distributed systems, consensus algorithm, and core Java skills; experience with Lucene/Netty is a bonus. Based in Hungary; salary range provided in HUF.

Work on Elasticsearch distributed systems components including concurrent and consistent indexing, cluster coordination, shard/node scaling, and performance/concurrency issues. Requires strong background in distributed systems, consensus algorithms, core Java, algorithms, and experience owning and managing multi-engineer projects.

Work on concurrent and consistent indexing, cluster coordination, and enabling Elasticsearch to scale to large numbers of shards, nodes, and petabytes. Responsibilities include addressing performance and concurrency issues, supporting support engineers, and owning multi-engineer projects. Requires strong distributed systems and consensus algorithm knowledge, proficiency in core Java, and deep algorithmic skills.

Join the Elasticsearch Distributed Systems team to improve concurrent and consistent indexing, maintain cluster coordination for performance and safety, and scale shards, nodes, and petabytes. The role requires strong expertise in distributed systems, consensus algorithms, core Java, concurrency, and debugging complex multi-node systems; experience managing multi-engineer projects is expected.

Work on Elasticsearch components that support concurrent and consistent indexing across machines, maintain cluster coordination to preserve safety and liveness as nodes and data move, push scalability limits for shards/nodes/petabytes, diagnose and resolve performance and concurrency issues, support support engineers on difficult problems, and own multi-engineer projects from design through delivery.

Work on Elasticsearch components that support concurrent and consistent indexing, cluster coordination, data allocation and replication across nodes. Requires a strong background in distributed systems, consensus algorithms, and core Java; responsibilities include performance and concurrency debugging, owning projects end-to-end, and supporting support engineers on complex issues.

Work on Elasticsearch components for concurrent and consistent indexing, cluster coordination, shard/node scaling and data replication. Requires strong expertise in distributed systems, consensus algorithms, core Java (JDK), concurrency and algorithms; responsibilities include debugging performance/concurrency issues, owning projects end-to-end, and supporting other engineers.

Role on the Elasticsearch Distributed Systems team working on node communication, indexing, allocation, and replication to improve scale, performance, and resilience. Responsibilities include improving concurrent and consistent indexing across machines, maintaining cluster coordination, addressing performance and concurrency issues, and supporting engineers. Requires strong background in distributed systems, consensus algorithms, core Java, data structures, concurrency, and algorithms. Salary range listed: 128,300–203,000 CAD per year.

Lead international GAAP, IFRS, and local statutory tax provisions and compliance for jurisdictions outside the U.S.; manage external consultants, support acquisitions/restructurings/tax planning, monitor global tax legislation, and mentor two direct reports. Requires 5+ years of experience, bachelor’s in accountancy; CPA and/or MS in Tax strongly preferred; experience with NetSuite and OneSource tools noted.

Work on Elasticsearch’s distributed systems: concurrent and consistent indexing, cluster coordination, data allocation and replication, and scaling to large numbers of shards/nodes. Requires strong Java, distributed systems, consensus algorithms, concurrency, and debugging skills; experience with Lucene, Netty, search or data stores is a bonus.

Work on Elasticsearch components for concurrent and consistent indexing, cluster coordination, shard/node scaling, and data replication. Requires strong background in distributed systems, consensus algorithms, core Java (JDK), concurrency, and algorithmic problem solving. Experience with Lucene, Netty, and large-scale data stores is a plus.

Work on Elasticsearch core components for concurrent and consistent indexing, cluster coordination, data allocation and replication across nodes. Requires strong core Java skills, deep knowledge of distributed systems and consensus algorithms, and experience debugging performance and concurrency issues. Typical starting salary range: €67,000–€106,000 EUR.