Sr. Director, Field Technology and AI

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.