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.

• Own the system architecture for AI-powered client systems • Implement and integrate solutions from concept through production and ongoing operation • Build, maintain and ensure the stability of automations and workflows • Produce technical documentation for the systems • Ensure the quality, scalability and continuous improvement of the solutions

• Deliver advanced AI and GenAI training programs, workshops, and enterprise capability-building sessions • Mentor professionals on real-world AI application development and enterprise AI adoption • Design and customize enterprise learning content, labs, technical assessments, and sandbox-based learning initiatives • Guide teams on AI architecture, deployment, governance, best practices, and operational implementation • Support AI readiness, transformation, and capability development engagements for enterprise clients

• Execute paid advertising campaigns across major digital platforms, including Meta, TikTok, Google, Snapchat, and other emerging channels • Proactively identify and recommend specific acquisition improvements and channel optimizations based on performance analysis • Contribute to retention and engagement initiatives through channel execution and lifecycle insights • Identify growth experiments, conversion opportunities, and user acquisition improvements in partnership with product and analytics teams • Analyze campaign performance, including CAC, ROAS, payback periods, creative performance, funnel conversion, and retention metrics • Collaborate with creative, influencer, product, and analytics teams to turn insights into growth actions • Build and maintain testing frameworks for paid ads, creative, landing pages, and offers • Support a high-velocity growth culture through structured experimentation, clear reporting, and disciplined execution • Help Cal AI maintain a high-velocity growth culture through rapid experimentation, clear reporting, and disciplined execution • Manage multiple projects simultaneously, making informed tradeoffs and escalating risks to your manager as needed