Top Tech Jobs & Startup Jobs

Own renewal base analytics, multi-year forecasting, renewal targets, quota inputs, and bookings classification policy within GTM FP&A. Partner with Sales, RevOps, Finance, IT, and Salesforce engineering to resolve data issues, operationalize business rules, connect recurring-revenue metrics to enterprise financial plans, and support annual planning, reforecasting, scenario analysis, and board reporting.

Drive net-new revenue and expansion across strategic enterprise accounts. Build pipeline, conduct MEDDPICC-based discovery, deliver executive presentations and demos, negotiate complex multi-year contracts, and maintain accurate forecasts. Partner with Solutions Architects, Customer Success, Marketing, and RevOps while positioning Elastic’s Search AI, observability, and security capabilities. Success requires SaaS enterprise sales experience, technical and cloud fluency, strong negotiation skills, and the ability to sell consumption-based solutions.

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 Pacific Northwest enterprise territory, generate new pipeline, qualify opportunities using MEDDPICC, and close complex multi-stakeholder SaaS deals. Deliver executive presentations and tailored demos, negotiate multi-year consumption commitments, maintain accurate forecasts, and collaborate with Solutions Architects, Customer Success, Marketing, and RevOps. Candidates need 5+ years of enterprise quota-carrying success, strong negotiation and discovery skills, technical cloud fluency, and familiarity with observability, security analytics, search, or open-source infrastructure.

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.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Identify, nurture, and create new sales opportunities for Elastic’s public-sector business. Research accounts and contacts using Salesforce, Outreach, LinkedIn, and other prospecting tools; craft targeted messaging; respond to interested users; collaborate with sales, marketing, and partners; and communicate Elastic’s technical value proposition. The role requires meeting monthly targets, learning continuously, and working from the Arlington, Virginia office three days per week.

Serve as a trusted technical advisor for Elastic customers, guiding onboarding, adoption, implementation, consumption, and expansion. Define technical success plans, align Elastic solutions with business objectives, resolve technical friction, coordinate with support and service teams, and identify opportunities to increase customer value and recurring revenue. The role requires hands-on technical expertise, strong communication, customer relationship skills, project coordination, onsite engagement, and frequent travel.

Build technical capability and revenue through managed partners in the US public sector. Responsibilities include driving partner-sourced pipeline, supporting deal qualification and proofs of concept, developing technical engagement plans, delivering enablement and lab workshops, co-architecting repeatable solutions, creating demos and sales collateral, supporting deployments, and maintaining relationships with senior technical stakeholders. The role requires approximately 30% travel and strong presales, cloud, security, observability, communication, and partner-influence skills.

Lead the technical vision, roadmap, and development of Elasticsearch’s ES|QL analytical engine and query capabilities. Design data-intensive systems, algorithms, APIs, and compute infrastructure; research search and analytics technologies; collaborate across product and engineering teams; mentor senior engineers; and contribute hands-on modern Java development. The role requires autonomous technical leadership, expertise in database internals and analytics systems, and the ability to guide complex projects from conception through delivery.