Drive net-new revenue and expansion within strategic enterprise accounts by building pipeline, qualifying deals (using MEDDPICC), delivering demos/value stories, and closing multi-stakeholder, usage-based contracts. Role requires technical and cloud fluency (observability, security, search), strong negotiation and forecasting skills, and quota-carrying SaaS experience; a typical starting salary range is $94,400–$149,400 USD (year).

Own a defined territory to build pipeline (≥50% from outbound), qualify opportunities using MEDDPICC, deliver tailored demos and value storytelling, and lead executive negotiations to close multi-year consumption-based contracts. Requires 5+ years closing complex enterprise SaaS deals, technical/cloud fluency (search, observability, security), and strong negotiation and cross-functional collaboration skills. Base salary range listed: $94,400–$149,400 USD; OTE range: $188,800–$298,700 USD.

Role delivers end-to-end onboarding from Day 1 to first meeting booked, facilitates workshops, creates training materials focused on prospecting, territory planning, messaging and tool adoption, establishes certification standards, analyzes performance metrics to evaluate training effectiveness, maintains SDR learning assets, and collaborates with sales leadership to align programs with sales goals.

Join Elastic's Prism team to design and implement reliable, performant systems that turn security data into a trustworthy picture of users, hosts, and services. Responsibilities include end-to-end ownership of small-to-medium projects, data modeling, background tasks, APIs, profiling and optimizing queries, writing TypeScript/React and Node.js code, building telemetry and tests, and collaborating across Elastic Security, Kibana, and Elasticsearch teams. Typical starting salary range: €87,300–€138,100 EUR per year.

Join the Prism team to design and deliver scalable, performant systems that transform security data into entities and risk signals. Responsibilities include owning projects end-to-end (data modeling, background tasks, APIs), optimizing queries and performance, writing TypeScript/React and Node.js services, building telemetry and tests, and collaborating with product, design, and other Elastic teams. Experience with Elasticsearch, Kibana, SIEM/UEBA, and AI-assisted development is noted as a bonus.

Lead technical work on the Prism team to design, implement, and operate systems that convert security data into reliable entity views and risk scores. Responsibilities include data modeling, background tasks, APIs, performance profiling and optimization, writing TypeScript/React and Node.js code, building telemetry and tests, and collaborating across Elastic Security, Kibana, and Elasticsearch teams.

Join the Prism team to design and ship scalable, correct, and performant systems that turn security data into a trustworthy picture of users, hosts, and services. Responsibilities include data modeling, background tasks, APIs, performance optimization, telemetry and tests. Required: several years building production software and strong TypeScript/JavaScript skills (React, Node.js). Familiarity with Kibana, Elasticsearch, SIEM/UEBA, and performance profiling are listed as bonuses.

Elastic is seeking a Regional Vice President to lead a team of strategic account executives focused on large Financial Services customers (banking, capital markets, payments, insurance). The role owns regional strategy, revenue attainment, pipeline creation, executive engagement, talent development, and cross-functional alignment; regular travel is required. Compensation includes base salary plus variable pay and equity eligibility.

Responsible for product vision and roadmap for Elastic's US public sector/regulatory offerings (FedRAMP Moderate/High through DoD IL5), translating compliance into product requirements, keeping authorizations current, working with agencies and federal partners, and collaborating across Security, Compliance, Legal, Sales and Engineering. Requires 5+ years product management experience with technical products and direct experience or eligibility to work in DoD IL4/IL5 and federal compliance frameworks.

Join InfoSec - Security Architecture to build and maintain ingestion of security telemetry into Elasticsearch, operate and upgrade Elastic Cloud on Kubernetes clusters, manage pipelines/index templates/ILM, integrate with cloud and third-party APIs, use Terraform and Helm for deployments, apply Python scripting for automation, and improve data quality and reliability. Preferred experience includes ECK, cloud provider logs (GCP), AI-assisted tooling, and SOC/IR workflows.

Senior InfoSec Infrastructure Engineer responsible for end‑to‑end security telemetry ingestion into Elasticsearch, operating Elastic clusters (ECK/Kubernetes), managing pipelines, index lifecycle, capacity and upgrades, integrating with cloud/provider APIs, using Terraform/Helm and Python scripts, and applying AI automation to reduce toil. Collaborates with detection, IR, and SOC teams to ensure reliable security data for investigations and operations.

Role focuses on end-to-end security telemetry ingestion into Elasticsearch (cloud audit logs, identity/SaaS activity, endpoint/asset data), building and maintaining ingest pipelines, operating Elastic Cloud on Kubernetes (ECK), managing cluster health (upgrades, ILM, shards, capacity), using Terraform and Helm for infrastructure and scheduled jobs, integrating with REST APIs, and applying Python scripting and AI automation to reduce toil. Experience with cloud provider logging (preferably GCP), SOC/IR workflows, and CI/GitHub tooling is listed as a plus.

Join Elastic's Security Architecture team to manage end-to-end security telemetry pipelines into Elasticsearch, maintain Elastic Cloud on Kubernetes clusters, handle ingest integrations with cloud/provider APIs, ensure data quality and ILM, and use Terraform, Helm, and Python for infrastructure and automation. Role based in Poland; compensation range provided in PLN.

Own end-to-end security telemetry ingestion into Elasticsearch (cloud provider audit logs, identity/SaaS activity, endpoint/asset data), maintain Elastic Cloud on Kubernetes clusters, manage pipelines, index templates and ILM, integrate with third‑party/cloud APIs, use Terraform, Kubernetes/Helm, Python scripting and AI automation to improve reliability and reduce toil. Preferred experience includes ECK/Elasticsearch on Kubernetes and familiarity with cloud providers (preferably GCP), SOC/IR workflows, and CI tooling.

Join the Security Architecture team to own end-to-end security telemetry ingestion into Elasticsearch, maintain Elastic Cloud on Kubernetes clusters, manage pipelines, index templates and ILM, and use Terraform, Kubernetes and Helm for deployments. The role requires Python scripting, API integrations, experience operating Elasticsearch in production, and applying AI/automation to improve reliability and reduce toil.

Elastic is hiring an Enterprise Account Executive based in South Korea to sell its Search AI Platform (search, observability, security) into enterprise accounts. Responsibilities include driving adoption and expansion, managing complex sales cycles, using qualification frameworks like MEDDPICC, and collaborating with solutions architects and customer success. The role requires SaaS enterprise sales experience, technical/cloud fluency, executive negotiation skills, and fluency in English.

Owner of a defined territory responsible for building pipeline (≥50% outbound-sourced opportunities), conducting deep discovery using MEDDPICC, delivering tailored demos and value storytelling, maintaining forecast accuracy, leading executive negotiation and closing multi-year consumption commitments. Requires 5+ years of SaaS enterprise sales experience and technical/cloud fluency (observability, security, search, cloud economics). Salary range provided: $94,400–$149,400 USD base (annual).

Individual contributor role focused on deep engagement with AI-native customers (West of Texas / San Francisco), leading complex enterprise sales cycles from discovery to adoption, building executive account strategies, partnering with solutions architecture and product teams, and providing customer-driven product feedback. Requires experience selling AI infrastructure, cloud platforms, enterprise search or related enterprise software into strategic accounts.

The role uses established enterprise dashboards and reports to analyze global and regional marketing performance, diagnose anomalies, and provide strategic recommendations to regional marketing leaders. Requires 3–5 years in marketing analytics/BI or similar, proficiency with BI tools (e.g., Tableau, Power BI, Looker), intermediate Excel/Google Sheets, experience with CRM and marketing automation reporting (Salesforce, Marketo), and basic SQL knowledge preferred.

Lead strategy and execution of onboarding and "Getting Started" documentation, partner with Self-Service, Product, and Field teams to design cohesive user flows, measure effectiveness using analytics/UXR/telemetry, and iterate content. Role requires 7+ years of relevant technical writing or developer-focused experience and cross-functional leadership.