Top Tech Jobs & Startup Jobs

Leads enterprise data strategy, platform architecture, Master Data Management, federated governance, data quality, compliance, and real-time analytics. Builds scalable data infrastructure, modernizes legacy pipelines, establishes operational data hubs, and enables secure data products across the enterprise. Oversees data engineering, architecture, MDM, governance, and embedded analytics teams while partnering with executives and business units to drive transformation, operational efficiency, AI readiness, and acquisition integration.

Leads Elastic’s Financial Services Strategic Accounts region and a team of enterprise sales professionals. Owns regional strategy, revenue, pipeline, account growth, retention, forecasting, executive relationships, and strategic opportunity execution. Coaches and develops sellers, builds relationships with major financial institutions, recruits sales talent, and coordinates cross-functional resources. Drives complex enterprise sales involving technology, security, procurement, compliance, and regulatory stakeholders while expanding adoption of Elastic’s Search, Security, Observability, data, and AI solutions.

Own the vision and roadmap for Elastic’s US public sector offering across FedRAMP and DoD IL5 environments. Translate compliance and agency requirements into product priorities, collaborate with Engineering, Security, Compliance, Legal, Sales, and Marketing, support government customers, track regulatory changes, and develop market insights. The role requires deep technical product management experience, federal compliance expertise, cloud knowledge, and eligibility to work in restricted US government environments.

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.

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.

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.