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Elastic

Self-described as the leading platform for search-powered solutions, Elastic helps organizations, their customers, and their employees find what they need faster while protecting a

Sr. Director, Field Technology and AI

Location

United States

Posted

19 days ago

Salary

$212.1K - $403.2K / year

Seniority

Lead

No structured requirement data.

Job Description

Sr. Director, Field Technology and AI

Elastic

Role Description 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. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM problems at scale. 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. - Lead a Multi-Disciplinary Organization: Build, mentor, and lead an organization across four functional teams. - Drive AI Adoption Across GTM: Partner with senior leaders to identify GTM problems AI can solve. - Measure & Communicate Impact: Establish KPIs for AI-driven outcomes and report progress to executive stakeholders. - Operate as an Executive Partner: Serve as the senior technology voice within RevOps. - Execution & Delivery - Lead Four Functional Teams: Manage Engineering, Data Science, Customer Data Strategy, and Application Administration. - Influence Beyond Your Org: Drive alignment with peer leaders across various departments. - Productize AI for GTM: Champion a portfolio of applied AI use cases. - Govern the Technology Portfolio: Make principled build/buy/partner decisions across the GTM tech stack. - Embed AI Responsibly: Establish principles and review mechanisms for AI deployment. Qualifications - 12+ years of progressive experience in GTM technology, RevOps systems, data/analytics, or applied AI. - 7+ years in senior leadership roles managing multiple sub-functions. - Proven track record building or transforming a Field/GTM Technology organization in a global B2B SaaS environment. - Demonstrated success leading multi-disciplinary teams across engineering, data science, data strategy, and application administration. - Exceptional executive presence and communication skills. - Track record of building, developing, and retaining strong technical leaders. Requirements - Deep fluency in the modern GTM technology stack, including CRM (Salesforce), marketing automation, and sales engagement. - Strong working knowledge of modern data and AI stacks (BigQuery, Snowflake, Databricks, etc.). - Experience operationalizing ML and GenAI use cases inside GTM systems. - Strong understanding of data governance, MDM, and data quality foundations. - Sound judgment on engineering practices, system architecture, and vendor selection. Bonus Points - Hands-on experience deploying agentic AI or knowledge-graph-based approaches. - Working knowledge of the Elastic Stack (Elasticsearch, Kibana, etc.). - Experience partnering closely with central IT/Enterprise Data organizations. Benefits - Competitive pay based on the work you do. - Health coverage for you and your family in many locations. - Flexible locations and schedules for many roles. - Generous number of vacation days each year. - We match up to $2000 for financial donations and service. - Up to 40 hours each year for volunteer projects. - Minimum of 16 weeks of parental leave.

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