Work on Elasticsearch components for concurrent and consistent indexing across machines, maintain cluster coordination for performance and safety, scale shards/nodes/data, investigate and resolve performance and concurrency issues, and support engineering teams on complex problems. Requires strong Java, distributed systems, algorithms, and concurrency skills.

Responsible for prospecting and generating pipeline across UK government departments, leading discovery conversations, positioning Elastic's Search AI/Observability/Security capabilities, working with solutions architects and customer success to develop public sector strategies, expanding accounts via land-and-expand, and maintaining accurate pipeline and forecasting in Salesforce. Requires 3+ years' experience selling into the UK public sector.

The Customer Architect partners with account and services teams to define and execute Technical Success Plans, onboard customers, remove technical frictions, and drive consumption and expansion of Elastic solutions. The role requires hands-on technical experience (preferably with Observability, Security, or Enterprise Search and the Elastic stack), strong communication and stakeholder skills, and significant onsite customer engagement with travel.

Produce short- and long-form technical content and media end-to-end (Twitter/LinkedIn posts, blog posts, videos, infographics) about Search, AI, and the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash). Build demos and translate research into accessible content. Requires a solid technical foundation, independent execution, adaptability to learn new tools/topics quickly, collaboration within a distributed team, and strong written and spoken English.

Serve as a technical authority and trusted advisor to sales, customers, and partners for Elastic's search and security solutions. The role emphasizes deep SIEM and SOC experience, advising on product positioning, enabling partners, developing technical collateral, engaging the community, and driving technical wins. Requires presales/solutions architecture experience and willingness to travel ~30% regionally and occasionally internationally.

Role serves as a technical authority and trusted advisor to sales, customers and partners in the Public Sector, owning solution architecture, technical presales, partner enablement, demonstrations and customer engagement for Elastic products (search, observability, security, cloud). Willingness to travel ~30% regionally and occasionally internationally. Compensation stated as typical OTE range €100,900–€159,600.

Design and implement agentic workflows and enterprise-grounded agents using Retrieval Augmented Generation and the Elasticsearch Relevance Engine. Integrate and fine-tune LLMs, connect agents to internal APIs and SaaS tools, and manage training, deployment, and performance at scale on cloud platforms (AWS/Azure/GCP). Requires 3–5 years experience and at least 1 year with the Elastic Stack; skills include Python or TypeScript, Kubernetes, Docker, Terraform, LangChain/LangGraph/LangSmith, and Jina AI.

Lead development and execution of a competitive intelligence program for Search, including product and pricing analysis, market and SWOT assessments, win/loss participation, and creation of enablement content (battlecards, training, blogs). Collaborate with product marketing, product management, sales, and engineering to inform positioning and GTM strategies and respond to competitor activity.

Elastic is hiring a Principal Competitive Intelligence Manager within Product Marketing for Search to analyze competitors (products, pricing, packaging, marketing, financials), produce enablement materials (battlecards, training, comparisons), support win/loss analysis, and collaborate with product, sales, and engineering to inform positioning and go-to-market efforts.

Provide Deal Desk support for EMEA: partner with Sales and Finance on complex deals, enforce approvals and revenue recognition, manage non-standard contracts and legal language templates, create CRM workflows, and propose process and system improvements. Requires a bachelor’s degree and at least 5 years’ related experience.

Elastic is hiring an entry-level Sales Development Representative (0–1 years experience) in Austin, TX. The SDR will proactively identify and nurture opportunities, collaborate with sales/marketing/partner teams, use Salesforce, Outreach and LinkedIn for prospecting and account research, and communicate technical value to users. Role is on-site in Austin a few days per week. Compensation includes base plus variable (OTE); typical starting salary range listed at $46,200–$73,000 USD per year.

Responsible for driving adoption of Elastic's AI-powered search solutions within VA and federal civilian accounts, identifying new use cases and business opportunities, navigating complex sales cycles, and developing territory business plans using customer and partner ecosystems. Requires demonstrated SaaS subscription sales success, experience selling to federal civilian agencies (specifically the Department of Veterans Affairs), and knowledge of enterprise search, log analytics, security, APM, cloud, and SFDC-based forecasting.

Create deep-dive technical videos and open-source demos that connect Elasticsearch with search, vector databases, LLMs and AI tools; publish content on Elastic channels and GitHub, engage the community, and provide product feedback while working with distributed teams.

Identify and unlock public sector opportunities within Saudi government; act as a trusted advisor to technical and executive stakeholders; evangelize Elastic’s search-powered solutions across Enterprise Search, Observability, and Security; manage complex sales cycles and forecasting; and collaborate with partners and communities. Requires proven Enterprise SaaS/public sector sales success in Saudi Arabia and experience navigating government procurement.

The role involves fostering the Elastic community (with a local focus on Amsterdam), creating technical content (code examples, talks, blogs, videos, demos), speaking at virtual and in-person events across EMEA, answering developer questions on forums and Slack, contributing to repositories, and helping users succeed with Elastic Stack and cloud offerings. Excellent English communication and strong engineering background are required.

Elastic is hiring a Mid-Market Account Executive focused on MSSPs in the UK. The role owns the full sales cycle—from outreach to close—driving adoption of Elastic’s search, observability, and security solutions, uncovering customer pain and business impact using frameworks like MEDDPICC, and working cross-functionally to close complex deals.

Elastic invites people who work in engineering to join its global engineering talent community to be considered for future opportunities. The company is distributed and highlights candidates based in North America or EMEA; candidates in APJ are encouraged to join a dedicated APJ community. Applicants submit a resume/application to be added to the community and may be actively sourced by recruitment specialists.

Elastic is hiring a Mid-Market Account Executive to drive net-new SaaS sales in an assigned territory. The role owns prospecting through close, demonstrates technical and cloud value (search, observability, security), uses frameworks like MEDDPICC for qualification, and works with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals.

Join the globally distributed Elasticsearch Search Scaling team to define and implement the next generation of core search infrastructure. Responsibilities include researching search infrastructure and retrieval algorithms, contributing to Elasticsearch and Lucene, shaping technical vision and roadmap, mentoring engineers, and collaborating with product and partner teams. Requires deep expertise in search internals, distributed systems, Java, data structures, and concurrency.

Work on Elasticsearch’s distributed systems components: concurrent and consistent indexing across machines, cluster coordination to maintain performance and safety as nodes join/leave, scaling shards/nodes/petabytes, diagnosing performance and concurrency issues, and supporting other engineers. Requires strong background in distributed systems, consensus algorithms, core Java, data structures, concurrency, and algorithms; experience managing multi-engineer projects is expected.