Jobs at Elastic

Design, build, test, deploy, and operate full-stack Elastic Cloud admin features using React and Node.js. Own delivery across product variants and environments, production support, release rotations, incident response, feature flags, dependency security, automated testing, and continuous delivery. Collaborate with product managers and designers, conduct code reviews, improve architecture, and mentor peers while using AI tools to accelerate development and maintaining quality.

Serve as a trusted technical advisor to customers, guiding onboarding, adoption, implementation, consumption, and expansion of Elastic solutions. Develop technical success plans, align platform capabilities with business objectives, resolve technical friction, coordinate with support and services teams, and identify opportunities to increase customer value and recurring revenue. The role requires hands-on technical expertise, customer relationship management, onsite work, and significant travel.

Lead Elastic’s AWS alliance strategy across North America, driving AWS Marketplace growth, co-sell execution, partner activation, new-logo acquisition, and regional expansion. Build executive relationships with AWS and Elastic leaders, coordinate field sales and solutions teams, manage AWS funding programs, develop joint campaigns and sales plays, and represent Elastic at strategic AWS events. The role requires deep AWS ecosystem expertise, strong enterprise sales knowledge, cross-functional influence, and experience managing large-scale cloud partnerships.

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.

Serves as a technical authority and trusted advisor for sales teams, customers, and partners. The role develops customer architectures, demonstrates Elastic solutions, supports sales cycles from discovery through technical win, enables partners, creates sales collateral, engages communities through events, and communicates customer needs to product and engineering teams. The position requires strong technical presales and customer relationship skills, with 30% regional travel and occasional international travel.

Leads enterprise data strategy, platform architecture, Master Data Management, federated governance, data quality, compliance, and real-time analytics. Builds scalable data infrastructure, modernizes legacy pipelines, establishes operational data hubs, and enables secure data products across the enterprise. Oversees data engineering, architecture, MDM, governance, and embedded analytics teams while partnering with executives and business units to drive transformation, operational efficiency, AI readiness, and acquisition integration.

Own the vision and roadmap for Elastic’s US public sector offering across FedRAMP and DoD IL5 environments. Translate compliance and agency requirements into product priorities, collaborate with Engineering, Security, Compliance, Legal, Sales, and Marketing, support government customers, track regulatory changes, and develop market insights. The role requires deep technical product management experience, federal compliance expertise, cloud knowledge, and eligibility to work in restricted US government environments.

Own renewal base analytics, multi-year forecasting, renewal targets, quota inputs, and bookings classification policy within GTM FP&A. Partner with Sales, RevOps, Finance, IT, and Salesforce engineering to resolve data issues, operationalize business rules, connect recurring-revenue metrics to enterprise financial plans, and support annual planning, reforecasting, scenario analysis, and board reporting.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Serve as a trusted technical advisor for Elastic customers, guiding onboarding, adoption, implementation, consumption, and expansion. Define technical success plans, align Elastic solutions with business objectives, resolve technical friction, coordinate with support and service teams, and identify opportunities to increase customer value and recurring revenue. The role requires hands-on technical expertise, strong communication, customer relationship skills, project coordination, onsite engagement, and frequent travel.

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.

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.

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.

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 strategic build-versus-buy engineering initiatives within Elastic’s IT organization. Design and deliver internal platforms using Elasticsearch, Kibana, Elastic ML, AI, and cloud technologies across developer productivity, FinOps, IT service management, and enterprise efficiency. Establish architecture and engineering standards, partner cross-functionally with IT, Security, Platform Engineering, Finance, and other teams, and validate Elastic products through internal production systems.

Designs, deploys, scales, and optimizes enterprise Elasticsearch architectures and high-throughput ingestion pipelines. Leads cluster design, vector and semantic search implementations, performance tuning, migrations, customer engagements, architectural reviews, and technical delivery. Partners with customer and internal engineering teams, provides field feedback, documents implementation practices, and mentors technical staff.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, data structures, and bug fixes in modern Java. Improve search speed and relevance, contribute to Lucene, collaborate with a globally distributed engineering community, guide projects autonomously, review code, and work with technologies including Elasticsearch, Solr, PostgreSQL, MongoDB, and Cassandra.