Jobs at Elastic

Lead the technical vision, roadmap, and development of Elasticsearch’s ES|QL analytics and compute engine. Build data-intensive enhancements using modern Java, research algorithms and data structures, collaborate across teams, mentor engineers, guide technical projects, and improve search and analytics capabilities. Work autonomously in a globally distributed environment while partnering with product, user experience, and customer-facing teams.

Generate qualified sales pipeline for Korean accounts through phone, email, social selling, events, and inbound and outbound prospecting. Collaborate with Account Executives and Marketing, research decision-makers using sales technologies, uncover customer challenges, qualify opportunities, communicate Elastic’s platform value, and continuously improve through coaching and AI-enabled workflows.

Lead the technical vision, roadmap, and development of Elasticsearch’s ES|QL analytical engine and query capabilities. Design data-intensive systems, algorithms, APIs, and compute infrastructure; research search and analytics technologies; collaborate across product and engineering teams; mentor senior engineers; and contribute hands-on modern Java development. The role requires autonomous technical leadership, expertise in database internals and analytics systems, and the ability to guide complex projects from conception through delivery.

Owns Elastic’s marketing technology ecosystem, including MarTech strategy, build-versus-buy decisions, product roadmaps, engineering delivery, integrations, governance, vendor management, budget, compliance, adoption, and team leadership. The role leads internal marketing applications and third-party platforms while aligning Marketing, Sales, IT, Engineering, Legal, Finance, and RevOps around scalable systems, clean data flows, measurable performance, and go-to-market objectives.

Serves as a trusted technical advisor for Elastic customers, developing technical success plans, guiding onboarding and adoption, resolving technical friction, and increasing solution consumption. Partners with account, solutions architecture, support, and services teams to align Elastic deployments with business goals, improve customer outcomes, identify expansion opportunities, and drive recurring revenue growth.

Drive adoption of Elastic’s AI-powered search and analytics solutions among new and existing state and local government accounts in Texas. Build trusted customer relationships, identify opportunities, develop use cases, navigate complex technology sales cycles, and create territory business plans. The role requires solution selling, public sector sales experience, accurate Salesforce forecasting, and collaboration across business functions. Open source sales experience is preferred.

Own a mid-market territory, generate outbound pipeline, qualify opportunities using MEDDPICC, and lead complex SaaS sales cycles. Present Elastic’s Search AI, observability, and security solutions through tailored storytelling and demos. Manage mutual close plans, maintain forecast accuracy, negotiate multi-year consumption contracts, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps. The role requires strong executive communication, technical cloud fluency, negotiation skills, and consistent quota-carrying success.

Engage inbound and outbound prospects through phone, email, LinkedIn, and other digital channels; research target accounts, identify decision-makers, uncover business challenges, qualify opportunities, and generate sales pipeline. Collaborate with Account Executives and Marketing, learn Elastic’s AI-powered platform, personalize outreach using sales technologies, and pursue continuous coaching and professional development.

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Leads competitive intelligence for Elastic Search by analyzing competitors, products, pricing, packaging, marketing, and market trends. Creates battlecards, training, comparisons, blogs, and web content that communicate product differentiation. Tracks competitive developments, supports win/loss analysis, and partners with product marketing, product management, sales, engineering, and leadership to shape positioning and go-to-market strategies. Participates in industry events and translates technical insights into compelling business value.

Serve as a technical authority and trusted advisor for enterprise customers, sales teams, partners, and the Elastic community. Design architectures using Elastic solutions, support sales cycles from discovery through technical close, demonstrate product value, enable partners, create collateral, and communicate customer needs to engineering and leadership. The role requires strong presales experience, customer relationship skills, technical communication, influence, public speaking, continuous learning, and 30% regional travel.

Leads competitive intelligence for Elastic’s Search-focused Product Marketing organization. Responsibilities include analyzing competitors’ products, pricing, packaging, strategies, and market developments; creating battlecards, enablement materials, blogs, and web content; supporting win/loss analysis; monitoring search-market trends; and partnering with product marketing, product management, sales, engineering, and leadership to develop competitive positioning.

Leads Enterprise Sector services business across EMEA Central, owning bookings and revenue targets, territory strategy, forecasting, bids, negotiations, and Statements of Work. Oversees concurrent technology engagements, governance, risk, escalations, delivery quality, margins, and customer satisfaction. Partners with sales, solution architecture, delivery, customer success, operations, and partners to align Elastic Services with customer outcomes, transformation initiatives, missions, and regulatory requirements.

Leads Enterprise and Public Sector Services across MENA, owning bookings and revenue targets, territory strategy, forecasting, bids, negotiations, and Statements of Work. Oversees complex concurrent engagements, ensuring delivery quality, margins, customer satisfaction, governance, risk mitigation, escalations, and change management. Partners with sales, solution architecture, delivery, customer success, operations, and channel teams to align services with customer transformation and mission objectives. Requires Arabic and English fluency and travel up to 50%.

Serves as a technical authority and trusted advisor during sales cycles, translating customer goals into Elastic-based architectures and value propositions. Responsibilities include technical discovery, demonstrations, solution positioning, partner enablement, customer relationship development, event participation, sales collateral creation, and communicating customer needs to engineering and leadership. The role requires technical presales expertise, knowledge of AI enterprise search, observability, or cybersecurity, strong communication and influencing skills, and 30% regional travel.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Lead development of Elasticsearch vector similarity search, designing algorithms and data structures, implementing features, fixing bugs, and improving performance, relevance, and maintainability. Collaborate asynchronously with globally distributed engineers and open-source contributors, guide initiatives from design through delivery, review code, and provide technical expertise on vector search. Develop modern Java software and use AI to accelerate development, debug systems, and optimize code.

Lead development of vector similarity search capabilities in Elasticsearch, including designing new features, implementing algorithms and data structures, fixing bugs, and improving search relevance, speed, and maintainability. Collaborate asynchronously with a globally distributed engineering and open-source community, provide technical leadership, and guide initiatives from design through delivery. Write modern Java and serve as a subject-matter expert for vector search and Elasticsearch.

Lead development of Elasticsearch vector search capabilities, including new features, algorithms, data structures, performance improvements, and bug fixes. Collaborate with globally distributed engineers and open-source contributors, provide technical leadership, and guide initiatives from design through delivery. The role requires deep expertise in vector similarity search, modern Java, data storage technologies, concurrency, and scalable search platforms.

Lead development of Elasticsearch vector similarity search capabilities, including designing and implementing algorithms, data structures, and search features. Resolve complex bugs, improve code quality, and contribute to Lucene. Collaborate asynchronously with globally distributed engineers and open-source contributors, provide technical guidance, triage issues, and lead initiatives from design through delivery using modern Java.