Jobs at Elastic

Own a focused portfolio of strategic AI-native customers, building executive relationships and leading complex enterprise software sales cycles from discovery through adoption. Develop account strategies, drive revenue and forecasting, collaborate with technical and business teams, engage ecosystem partners, and provide customer insights to influence product strategy. The role requires strong AI and modern infrastructure knowledge, enterprise sales expertise, executive presence, strategic planning, and familiarity with open-source and product-led growth.

Lead Elastic’s inorganic growth strategy through M&A and strategic partnerships. Responsibilities include identifying acquisition targets, conducting market assessments and due diligence, building financial models and valuations, negotiating and closing transactions, planning post-merger integration, and presenting recommendations to executive and board-level audiences. The role partners closely with product, finance, legal, and executive leadership.

Own a strategic enterprise territory, generate outbound pipeline, qualify complex opportunities using MEDDPICC, and deliver tailored executive value narratives and demos. Lead negotiations, close multi-year consumption-based contracts, maintain forecast accuracy, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps. The role requires strong SaaS enterprise sales performance, technical and cloud fluency, executive communication, negotiation skills, and familiarity with observability, security, search, or open-source infrastructure.

Lead technical strategy and integrations with OpenAI and Anthropic, build prototypes and reference architectures using Elasticsearch as the retrieval layer, influence product roadmap, own partner relationships, and create co-branded go-to-market and enablement content.

Lead and scale a specialized AI-native sales unit to sell Elastic's search and generative AI platform directly and via co-sell partnerships. Manage and coach account and alliance teams, build GTM and sell-with strategies, drive quota attainment, engage C-suite and partners, and influence product roadmap through cross-functional collaboration and hands-on deal support.

Develop and execute content strategies for Elastic’s global public sector business, covering government and higher education audiences. Create and oversee whitepapers, solution briefs, executive narratives, web copy, campaigns, videos, case studies, and sales enablement materials. Translate complex technology into compelling customer value, monitor public sector trends and compliance requirements, collaborate across marketing and field teams, and optimize content using performance data. The role requires strong technology-sector writing, storytelling, project management, and public sector marketing experience.

Own sales strategy and operations by analyzing business health, developing performance metrics, designing coverage and forecasting models, managing territories and data hygiene, and identifying growth opportunities. The role supports executive reporting, sales process improvements, Salesforce and business-system enhancements, change management, user training, and adoption of new tools and processes across global sales teams.

Analyzes revenue data, develops forecasting models and performance dashboards, improves RevOps processes, validates data, and delivers strategic insights to sales and marketing stakeholders. The role supports business reviews, annual planning, cross-functional reporting initiatives, revenue strategy, risk mitigation, and stakeholder training while identifying operational efficiencies and growth opportunities.

Develop core infrastructure and horizontally scalable APIs for Elasticsearch. Solve complex performance, concurrency, stability, and operational issues; improve observability and developer productivity through automation and AI-enabled workflows. Lead cross-team projects, design APIs, support difficult customer issues, and own investigations through resolution. Collaborate across distributed engineering teams while contributing to open-source projects and maintaining secure, performant, and reliable platform functionality.

Design, build, and operate distributed infrastructure for Serverless Elasticsearch across cloud providers. Own Kubernetes orchestration, scalable APIs, automation, observability, CI/CD, and operational investigations. Resolve complex performance and concurrency issues, improve developer productivity, and contribute to core Elasticsearch infrastructure. Lead cross-team initiatives, collaborate with engineers and users, support difficult production issues, and own projects from technical design through successful delivery.

Develop and maintain core Elasticsearch infrastructure, scalable APIs, CI/CD workflows, observability, and cloud operations. The role focuses on improving developer productivity through automation and AI-enabled workflows, resolving complex performance and concurrency issues, and leading cross-team technical projects. Responsibilities include end-to-end operational investigations, supporting difficult customer issues, and collaborating across distributed engineering teams and open-source projects.

Designs and delivers scalable Elastic-based observability and security solutions for enterprise customers. Leads engagements from discovery and roadmap development through implementation, enablement, and optimization. Architects distributed tracing, metrics, logs, SIEM, endpoint security, data pipelines, dashboards, detection rules, and alerting. Advises stakeholders, provides technical leadership, shares best practices, and collaborates with Professional Services, Engineering, Product, and Sales. Requires deep Elastic, cloud, Kubernetes, Linux, data pipeline, and security expertise, with customer-site travel as needed.

Build and grow Elastic’s emerging and growth accounts across the United States. Develop territory and partner strategies, generate demand, prospect for new opportunities, evangelize Elastic’s Search AI, security, and observability solutions, manage complex sales cycles, forecast performance, and close SaaS transactions. The role works cross-functionally with sales development, marketing, partners, product, and customer service teams while using Salesforce, Clari, Outreach, and ZoomInfo to manage pipeline and business plans.

Lead Elastic's Observability Product Marketing team to define messaging, GTM strategy, and field enablement. Provide market and competitive thought leadership, create technical content and sales enablement, hire and develop PMM talent, represent the company at events, and act as the internal expert on SRE and developer personas.

Lead and grow a global engineering team building endpoint visibility, prevention, and on-device ML across Windows, macOS, and Linux. Own roadmap and delivery, direct model development and telemetry, drive cross-platform protection parity, coordinate with product and partner teams, and represent the team externally through research and conferences.

Recruit and advise hiring teams across G&A and Marketing, managing the full hiring lifecycle from talent engagement through offer and onboarding. Build candidate pipelines, partner with hiring managers and executives, improve candidate experience, execute recruiting strategies, and represent Elastic’s employer brand. The role requires managing multiple requisitions, recruiting for varied corporate functions, influencing stakeholders, and using ATS and recruiting technologies.

Partners with enterprise and strategic clients to quantify solution value, develop ROI analyses and business cases, facilitate executive workshops, and deliver value realization strategies. Collaborates cross-functionally to identify use cases, manage initiatives, align stakeholders, and communicate technical solutions as measurable business outcomes. The role requires expertise in value engineering, consulting, value-based selling, financial modeling, change management, and executive presentations.

Own a focused portfolio of strategic AI-native enterprise customers, building executive relationships and leading complex software sales cycles from discovery through adoption. Develop account strategies, drive revenue, manage forecasting and pipelines, collaborate with technical and business teams, partner across the AI ecosystem, and provide customer insights that influence product strategy. The role requires strong enterprise sales performance, AI and modern infrastructure knowledge, executive presence, strategic planning, and experience with complex, multi-year opportunities.

The Senior Business Systems Analyst will gather and document CPQ requirements, analyze workflows, translate business needs into technical specifications, and facilitate communication between stakeholders and IT teams. Responsibilities include leading validation sessions, coordinating cross-functional input, documenting defects, supporting solution testing, conducting user acceptance testing, and improving CPQ processes. The role requires strong Salesforce CPQ expertise, business systems analysis experience, process documentation skills, and familiarity with Agile and Scrum methodologies.

Own channel strategy and partner-sourced pipeline for Elastic’s East Enterprise region. Responsibilities include onboarding and enabling partners, developing joint business plans, managing quotes and deal registrations, maintaining CRM pipeline accuracy, enforcing partner attach standards, forecasting, and reporting channel performance. The role partners closely with sales, solutions architecture, marketing, operations, legal, resellers, distributors, MSPs, and hyperscalers to accelerate bookings and expansion.