Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration.

Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action.

Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life.

Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM problems at scale. You will set the vision for how AI is embedded into the seller and GTM leader experience, while ensuring each team delivers against its own roadmap, outcomes, and success measures in service of broader fiscal-year strategic goals. What You Will Be Doing Strategy & Leadership Set the Field Technology & AI Vision : Define and own the strategy for how Elastic applies AI across the GTM ecosystem, aligning Engineering, Data Science, Customer Data Strategy, and Application Administration into a unified roadmap that aligns with RevOps and GTM strategic priorities.

Lead a Multi-Disciplinary Organization : Build, mentor, and lead an organization o across four functional teams, each with their own leaders, roadmaps, and outcomes. Set clear success measures, develop leaders, and create the framework for success Drive AI Adoption Across GTM : Partner with senior GTM, Sales, Marketing, legal, IT, and Finance leaders to identify the highest-leverage GTM problems AI can solve, and lead those solutions from concept to adoption. Measure & Communicate Impact : Establish KPIs for AI-driven outcomes, system performance, data quality, and team delivery.

Regularly report progress, trade-offs, and business impact to executive stakeholders. Operate as an Executive Partner : Serve as the senior technology voice within RevOps, translating GTM strategy into a technology agenda, and translating technology capability into GTM opportunity. Execution & Delivery Lead Four Functional Teams : Manage Engineering, Data Science, Customer Data Strategy, and Application Administration through their respective leaders.

Set distinct roadmaps, success measures, and operating cadences for each team while ensuring their outputs combine into a single, coherent GTM technology portfolio. Influence Beyond Your Org : Drive alignment and shared outcomes with peer leaders across Revenue Strategy, Marketing, Finance, and IT. Shape executive-level decisions on GTM priorities, secure cross-functional investment in your roadmap, and resolve trade-offs that span organizational boundaries.

Productize AI for GTM : Champion a portfolio of applied AI use cases, including account scoring, next-best-action, seller copilots, agentic workflows, and conversational analytics, and drive each from design, prototype, and ultimately to scaled adoption.