Lead and own competitive benchmarking initiatives: build automated benchmark harnesses, datasets, query sets and load profiles; design fair comparisons; measure latency, throughput, resource usage and cost; investigate differences with profiling and controlled experiments; and publish reproducible artifacts and technical reports. Requires solid software engineering (Python or similar), hands-on performance evaluation in distributed systems or search infrastructure, workload design, and clear technical communication.

Lead and own competitive benchmarking initiatives across search, vector/hybrid retrieval, analytics, and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles; design fair comparisons; evaluate latency, throughput, resource consumption, and cost; and investigate differences using profiling and controlled experiments. Require strong software engineering (Python or similar), hands-on performance analysis in distributed systems or search infrastructure, workload and dataset design skills, reproducible testing practices, and clear technical writing. Familiarity with Elasticsearch, Lucene, Rally, ClickBench, cloud performance and cost analysis, and serverless/autoscaling systems is a plus.

Lead product strategy and execution for the Elastic Agent Builder, working with customers, sales, data science, engineering, design, and cloud partners to build context engineering capabilities on top of Elastic retrieval and relevance. Requires 10+ years in product management for technical/platform products and deep fluency in AI/ML (LLMs, RAG, vector DBs).

Lead product strategy and roadmap for Elastic Agent Builder, working with enterprise customers, sales, solutions architects, engineering, data science, and design. Drive benchmarking and evaluation of agent capabilities, partner with cloud providers and developer communities, and evangelize Agent Builder capabilities. Role requires 10+ years in product management or solution delivery for technical/cloud/platform products and strong AI/ML fluency.

Lead the product strategy, roadmap, and metrics for Elastic's vector database and core search use cases, collaborating with engineering and research on vector indexing, hybrid retrieval, embeddings, model lifecycle, and developer-facing APIs/SDKs. Requires 8+ years in product management with strong technical knowledge of vector search fundamentals, ANN indexing, similarity metrics, and generative/model fine-tuning concepts.

Lead the vision, strategy, and multi-quarter roadmap for Elastic's vector database and core search use cases (indexing internals, APIs/SDKs, embeddings/reranking). Responsibilities include market and model research, competitive analysis, prioritizing features, coordinating with engineering and research, defining key metrics (recall, latency, index size, ingestion throughput, TCO), and managing cross-team cadence. Requires 8+ years in product management with experience in technical infrastructure, databases, search, or ML/AI platforms and working knowledge of vector search fundamentals and generative/model concepts.

Lead the vision, strategy, and multi-quarter roadmap for Elastic's vector database and core search use cases, including embedding/reranking, vector indexing, semantic ingestion, model lifecycle, and retrieval quality. Work closely with engineering and research, conduct market and competitive analysis, define metrics (recall, latency, index size, ingestion throughput, TCO), prioritize features, and manage cross-functional alignment across Serverless and Self-managed deployments. Requires 8+ years in product management with technical experience in databases, search, or ML/AI platforms and working knowledge of vector search and generative models.

Responsible for prospecting, building awareness, and driving Elastic Security solutions within new and existing enterprise accounts in Italy. Role includes coaching Account Executives, managing opportunities to close, revenue forecasting, overseeing PoCs, collaborating with Solutions Architects, product and marketing teams, and delivering demos and presentations.

Elastic is hiring a Security Enterprise Account Executive / Sales Specialist to grow Elastic Security within Enterprise and Strategic accounts in EMEA North. Responsibilities include prospecting, managing opportunities to close, revenue forecasting, overseeing POCs/value engagements, collaborating with Security Specialists and Solutions Architects, and partnering with regional marketing and product teams. Compensation is base plus variable with an OTE range of €165,800–€262,200 per year.

Elastic is hiring a Mid-Market Account Executive based in Germany to generate 100% net-new logos. The role owns the full sales cycle—from outreach to close—positioning Elastic’s Search AI platform (search, observability, security) to mid-market customers. Responsibilities include discovery and qualification using MEDDPICC, value-based selling, strategic territory planning, and cross-functional collaboration with Solutions Architects, Customer Success, Marketing and RevOps. Compensation is base plus variable with an OTE range of €135,200–€213,900.

Work on Elastic Cloud application networking to design and implement scalable networking features (Ingress, DNS, private connectivity), integrate security controls, refactor code, perform load and performance testing, and implement monitoring and tracing. Role requires hands-on Golang development experience, Kubernetes (examples: Cilium, external-dns, Envoy Gateway, Crossplane), and familiarity with at least one major cloud provider (AWS, Azure, or GCP).

Elastic is hiring a Technical Lead to drive frontend and backend development, data integrations, content management workflows, and web service reliability for Elastic.co. The role requires leading a distributed team, defining technical vision (NextJS, TypeScript, APIs), ensuring performance, accessibility, and security, and collaborating with SRE and infrastructure teams. Requires 8+ years of web development experience and 3+ years in senior/lead roles.

The Inside Account Executive (Hunter) will own a territory of whitespace accounts, develop and execute prospecting strategies, identify and qualify new opportunities, negotiate deals, and forecast territory performance. Requires 2+ years in hunting/new-account sales and strong communication, negotiation, and pipeline-generation skills. Typical base salary range listed: $65,600–$103,700 USD (annual).

The Enterprise Account Executive will own a defined territory to build pipeline, qualify opportunities (using frameworks like MEDDPICC), deliver tailored demos and value stories, negotiate and close multi-year consumption-based deals, and work closely with Solutions Architects, Customer Success, Marketing, and RevOps. Requires 5+ years closing complex enterprise SaaS deals.

Role owns territory and pipeline generation (≥50% outbound-sourced opportunities), uses frameworks like MEDDPICC for qualification, delivers tailored demos and value storytelling, leads contract/pricing negotiations for multi-year consumption commitments, and partners with Solutions Architects, Customer Success, Marketing, and RevOps. Requires 5+ years closing complex enterprise SaaS deals. Compensation is base plus variable (50/50 pay mix) with typical base salary range $94,400–$149,400 USD and typical OTE $188,800–$298,700 USD.

Serve as the technical point of contact for accounts and account managers, drive technical discovery through to the technical win, advise sales on product positioning, and onboard and enable partners. The role focuses on demonstrating Elastic products (search, security, observability, AI) at sales meetings and events, participating across the sales cycle, and requires technical presales/solutions architecture experience; travel is around 30%.

Manage end-to-end Quote-to-Cash (Q2C) transformation: define program scope, workstreams, milestones, and governance; drive changes across CPQ, pricing, contracting, order management, billing, revenue recognition, and collections; manage third-party vendors and system integrators. Requires 6+ years in program/finance transformation or revenue/order operations, experience in B2B SaaS transformations, and familiarity with Salesforce, NetSuite, and Zuora RevPro.

Design and implement enterprise SIEM and security analytics solutions using Elastic Security. Lead POVs, consultative selling, RFI/RFP responses and customer presentations; support SOC workflows, incident response, forensic analysis, and ML/behavioral-analytics use cases. Requires 8+ years of SIEM experience and willingness to travel ~30%.

Elastic is hiring a Senior Incident Response Analyst to review and respond to alerts from the Elastic Detection Engine and other sources, perform SIEM and endpoint log analysis, develop detection and response approaches, identify root causes, and oversee cross-team remediation. The role requires at least 3 years of security operations/incident response experience and familiarity with cloud and SaaS environments; experience with the Elastic Stack is a plus.

Barcelona-based Deal Desk Analyst providing EMEA Deal Desk support: assess financial and revenue risk, manage approvals for non-standard deals, advise sales on pricing/configuration/terms, maintain legal template repository, and support quote-to-cash workflows. Requires a bachelor’s degree and at least 4 years' experience in Sales Operations/Deal Desk/Contract Administration. Typical starting salary range: €42,800–€67,700 EUR per year.