Jobs at Elastic

Own full-cycle recruiting for G&A and Marketing roles across multiple levels. Partner with hiring managers and executives to build talent pipelines, advise on hiring strategy, manage candidate engagement, improve the candidate experience, and champion consistent recruiting processes. The role also supports employer branding and recruiting strategy while balancing multiple requisitions in a fast-paced, distributed technology company.

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.

Serve as the primary technical advisor to Federal Civilian agencies, system integrators, and partners. Lead discovery, solution architecture, demonstrations, proofs of concept, technical evaluations, and RFP support across search, observability, security, analytics, and AI use cases. Build relationships with technical and executive stakeholders, translate agency missions into Elastic solutions, advocate for federal requirements, and support territory strategy throughout the sales lifecycle.

Serve as the primary technical strategist for Federal Civilian customers, mapping mission requirements to Elastic solutions. Lead presales engagements, technical evaluations, demonstrations, proofs of concept, architectural prototypes, and account strategy. Build relationships with technical and executive stakeholders, collaborate with systems integrators and partners, support RFIs/RFPs, and advocate for federal security, compliance, air-gapped, and data-sovereignty requirements. Represent Elastic at public-sector events and influence product direction based on customer needs.

Serve as the lead technical advisor for Federal Civilian accounts, aligning agency missions with Elastic solutions. Lead discovery, technical strategy, demonstrations, proofs of concept, architectural prototypes, evaluations, and RFP support. Build relationships with technical and executive stakeholders, collaborate with system integrators and partners, advocate for federal requirements, and represent Elastic at public-sector events. The role requires enterprise presales experience, federal domain knowledge, and expertise in cloud, data, security, observability, and AI/ML technologies.

Drive net-new revenue and expansion in a defined territory by building pipeline, qualifying opportunities (MEDDPICC), delivering tailored demos and value stories, negotiating multi-stakeholder deals in a consumption-based model, and partnering with Solutions Architects, Customer Success, Marketing, and RevOps to close multi-year commitments.

Serves as a senior technical presales authority for enterprise customers, account teams, and partners. The role develops security-focused architectures, demonstrates Elastic solutions, supports sales cycles from discovery through technical win, enables partners, presents at events, and communicates customer needs to engineering and leadership. Extensive SIEM expertise, AI and analytics knowledge, SOC workflow understanding, customer relationship skills, and regional travel are required.

Own the production improvement loop for an AI Context Engine, improving agent behavior, retrieval, memory, telemetry, evaluation, and safe rollout. Build production services in TypeScript or Python, design observability and evaluation systems, analyze agent traces and customer feedback, and partner with data scientists, backend engineers, product, and UX. Mentor engineers, review designs, and shape the technical roadmap for agentic products with public APIs and evolving data models.

Own the production improvement loop for Elastic’s Context Engine, improving AI agents, automations, retrieval, memory, telemetry, and evaluation. Design safe rollout processes, regression coverage, experiments, and quality, latency, and cost evaluators. Build production code in TypeScript or Python, collaborate with data science and product teams, mentor engineers, review designs, and influence the roadmap for agentic behavior and enterprise AI products.

Provides sales operations strategy, planning, forecasting, reporting, and analysis for public sector sales teams. Owns pipeline KPIs, budgets, forecasts, variance analysis, territory planning, resource models, and early-warning systems. Partners with Sales, Marketing, Finance, and leadership to improve pipeline conversion, coverage, bookings, and growth plans. Supports capacity planning, incentive strategy, overlay sales teams, and go-to-market initiatives.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, extraction automations, retrieval tools, memory, evaluation, telemetry, and safe production rollouts. Build production code in TypeScript, design AI system observability and experimentation, partner with data scientists and product teams, diagnose agent failures, and improve quality, latency, and cost. Mentor engineers, review technical work, and shape the roadmap for agentic products and public APIs.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluation, telemetry, retrieval, memory, and safe production rollouts. Build production services in TypeScript or Python, design golden datasets and quality gates, analyze traces and customer feedback, and improve agentic systems through experimentation. Collaborate with data scientists, backend engineers, product, and UX while mentoring engineers and shaping technical strategy.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluations, telemetry, safe rollouts, and production quality. Build backend services and AI-driven products using TypeScript or Python, design experiments and observability for agent traces and retrieval, and partner with data scientists, engineers, product, and UX. Mentor engineers, review technical work, and shape the roadmap for agentic systems, APIs, memory, and knowledge representation.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluations, telemetry, experimentation, safe rollout, and production code. Build and operate AI agents, retrieval tools, memory, APIs, stateful workflows, and data pipelines. Partner with data scientists, engineers, product, and UX to diagnose failures, measure outcomes, evolve public contracts, mentor engineers, and shape the technical roadmap.

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.

Coordinates marketing budgets, forecasts, accruals, compliance, team culture programs, all-hands meetings, special projects, executive communications, business reviews, and operating processes. Tracks timelines, dependencies, risks, approvals, and follow-ups while supporting global marketing leaders. Requires strong organization, communication, discretion, financial comfort, relationship-building, and project coordination skills. The role is remote within Canada and supports a distributed B2B SaaS marketing organization.

Owns global sales compensation systems and administration, including monthly and quarterly accruals, payments, system updates, SOX compliance, data analysis, reporting, user acceptance testing, and process improvements. The role partners with IT and cross-functional teams to enhance Xactly Incent, ensure calculation accuracy, resolve issues, support compensation plan changes, and train sales stakeholders.

Owns a Dutch public sector territory across municipalities, healthcare, education, and research. Responsibilities include territory planning, outbound pipeline generation, full-cycle enterprise sales, public procurement navigation, customer expansion, forecasting, Salesforce management, and collaboration with solution architects and partners. The role focuses on selling Elastic’s search, observability, security, data, cloud, and AI solutions to generate new business and expand existing accounts.

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.

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.