Jobs at Elastic

Own the full enterprise sales cycle for Elastic’s Search AI, observability, and security solutions, focusing on new-logo acquisition and territory growth. Build strategic account plans, conduct deep discovery, navigate complex sales cycles, negotiate contracts, and accurately forecast revenue. Act as a trusted technical advisor by connecting cloud, search, security, and data capabilities to measurable business outcomes while partnering with solutions architects, customer success, marketing, and revenue operations.

Lead the technical vision and development of Elasticsearch core search infrastructure, including indexing, query execution, retrieval, and relevance. Research advanced search algorithms and data structures, guide long-term roadmaps, collaborate across teams, mentor expert engineers, and contribute hands-on to scalable, high-performance distributed systems.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, and relevance. Research search algorithms and data structures, contribute to Lucene, guide long-term roadmaps, mentor engineers, and collaborate across distributed teams. Build and optimize high-performance distributed search systems while serving as a technical authority in key Elasticsearch domains.

Lead the technical vision and development of Elasticsearch search infrastructure, including indexing, retrieval, query execution, and relevance. Research search algorithms and data structures, contribute hands-on code, mentor expert engineers, guide technical projects, and collaborate across teams to shape long-term roadmaps. The role requires deep expertise in distributed search systems, Java, Elasticsearch, Lucene, or Solr, along with strong communication and autonomous execution skills.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, query execution, retrieval, and relevance. Research search algorithms and data structures, contribute to Lucene, guide technical roadmaps, mentor expert engineers, and collaborate across distributed teams. Build and optimize high-performance distributed search systems while serving as a domain authority for Elasticsearch capabilities.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, and relevance. Research search algorithms and data structures, contribute to Lucene, guide technical roadmaps, mentor engineers, collaborate across teams, and build high-performance distributed systems.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, query execution, retrieval, and relevance. Research search algorithms and data structures, contribute to Lucene, guide technical roadmaps, mentor engineers, and collaborate across teams to build scalable, high-performance distributed search systems.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, and relevance. Research search algorithms and data structures, improve Lucene and Elasticsearch capabilities, guide technical roadmaps, mentor expert engineers, and collaborate across distributed teams. The role requires hands-on development of scalable, high-performance distributed search systems and autonomous leadership from design through implementation.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, relevance, and distributed systems. Research search algorithms and data structures, guide technical roadmaps, mentor expert engineers, collaborate across teams, and contribute hands-on to high-performance Java software. The role requires deep expertise in Elasticsearch, Lucene, or Solr, strong communication, autonomy, and experience operating large-scale search platforms.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, query execution, retrieval, and relevance. Research search algorithms and data structures, guide long-term roadmaps, contribute hands-on code, mentor engineers, collaborate across teams, and improve large-scale distributed search systems.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, and relevance. Research search algorithms and data structures, contribute to Lucene, guide technical roadmaps, collaborate across teams, mentor senior engineers, and build high-performance distributed search systems. Serve as a subject-matter expert while driving projects from concept through completion.

Own Salesforce DevOps and release engineering, including GitHub administration, Git automation, branching, CI/CD pipelines, sandbox and scratch-org management, backups, and release governance. Build full-stack Salesforce solutions with Apex, LWC, SOQL/SOSL, Flows, APIs, integrations, and event-driven patterns. Support Certinia PSA, CPQ/ARM, AI initiatives, and enterprise projects while establishing deployment gates, telemetry, quality controls, and reliable production releases.

Leads the migration from Salesforce CPQ to Revenue Cloud and owns end-to-end Quote-to-Cash capabilities, including quoting, pricing, contracting, ordering, billing, subscriptions, and revenue recognition. Provides Salesforce architecture, integration strategy, technical governance, roadmap ownership, delivery risk management, and cross-functional leadership. The role manages engineering capacity and sprint commitments, leads workshops and proofs of concept, ensures security and compliance, and mentors Salesforce development and configuration teams.

Own and improve Elastic’s observability infrastructure across hosted cloud deployments. Responsibilities include Terraform-based infrastructure delivery, Python and Go development, production operations, incident response, on-call participation, RCA and postmortem writing, code and design reviews, mentoring, and improving operational documentation and processes. The role also involves operating Linux and containerized workloads, delivering complex projects independently, and maintaining secure, reliable platform infrastructure.

Serve as a technical authority and trusted advisor for public sector customers, sales teams, partners, and communities. Develop customer relationships, understand business goals, design solution architectures, demonstrate Elastic products, support sales cycles, enable partners, create technical collateral, and communicate customer needs to engineering and leadership. The role requires continuous learning, strong influencing and presentation skills, and regional travel.

Provides technical support for hardware, software, networks, office peripherals, and user technology issues. Diagnoses and resolves incidents, monitors system performance and logs, manages network devices and security protocols, maintains hardware and software inventories, documents configurations and resolutions, supports onboarding, trains users, and coordinates hardware procurement with vendors.

Drive net-new revenue and account expansion across enterprise telecom customers. Sell Elastic’s Search AI, observability, and security solutions through complex, value-based SaaS sales cycles. Build territory plans, develop pipeline, conduct deep discovery, negotiate contracts, forecast accurately, and partner with Solutions Architecture, Customer Success, Marketing, and RevOps. Advise technical and executive stakeholders on cloud economics, data architectures, AI, search, security, and observability use cases.

Own a new Latin American territory targeting AI-native companies. Generate outbound pipeline, sell Elastic’s Search AI, Security, and Observability solutions, engage technical executives, develop channel partnerships, manage complex enterprise sales cycles, negotiate multi-year commitments, maintain forecast accuracy, and expand existing accounts. The role requires enterprise SaaS or cloud sales experience, strong technical and executive credibility, MEDDPICC expertise, Portuguese and English fluency, and residence in São Paulo, Brazil.

Own an enterprise territory, generate pipeline, qualify complex opportunities using MEDDPICC, deliver executive presentations and demos, negotiate multi-year consumption contracts, and close strategic SaaS deals. The role requires technical fluency in search, observability, security, cloud economics, and modern data architectures, while partnering with Solutions Architects, Customer Success, Marketing, and RevOps to drive revenue and customer outcomes.

Own an enterprise territory, generate pipeline, qualify opportunities using MEDDPICC, deliver executive-level demos, and close complex multi-year SaaS agreements. The role requires accurate forecasting, value-based negotiation, and fluency in cloud economics, observability, security, search, and usage-based pricing. The Account Executive partners with Solutions Architects, Customer Success, Marketing, and RevOps to drive net-new revenue and expansion within strategic accounts.