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Sr. Director, Field Technology and AI

5 hours, 36 minutes ago
United States
Full-time
Executive
AI (Artificial Intelligence)
Software Development
Databricks dbt Elasticsearch GCP Generative AI Kibana Machine Learning Salesforce Snowflake
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Elastic

Elastic

Elastic is a leading platform for search-powered solutions, providing real-time insights and making data usable for developers and enterprises worldwide.

Internet Software & Services
1K-5K
Founded 2010
View All Jobs 74

Description

  • Define and own the strategy and roadmap for Field Technology and AI across Elastic’s go-to-market ecosystem.
  • Lead and develop a multi-disciplinary organization spanning Engineering, Data Science, Customer Data Strategy, and Application Administration.
  • Partner with senior leaders across GTM, Sales, Marketing, Legal, IT, and Finance to identify and solve high-leverage business problems with AI.
  • Establish KPIs for AI outcomes, system performance, data quality, and team delivery, and report results to executive stakeholders.
  • Serve as the senior technology partner within Revenue Operations, translating GTM strategy into a technology agenda.
  • Manage four functional teams through their leaders, with clear roadmaps, success measures, and operating cadences.
  • Drive alignment and shared outcomes with peer leaders across Revenue Strategy, Marketing, Finance, and IT.
  • Champion applied AI use cases such as account scoring, next-best-action, seller copilots, agentic workflows, and conversational analytics.
  • Make build/buy/partner decisions across the GTM tech stack while balancing speed, stability, cost, and scalability.
  • Define guardrails and review mechanisms to ensure AI is deployed accurately, explainably, securely, and in line with company values.

Requirements

  • 12+ years of progressive experience in GTM technology, RevOps systems, data/analytics, or applied AI.
  • 7+ years of senior leadership experience managing multiple sub-functions and leaders-of-leaders.
  • Proven experience building or transforming a Field/GTM Technology organization in a global B2B SaaS environment.
  • Demonstrated success leading multidisciplinary teams across engineering, data science, data strategy, and application administration.
  • Exceptional executive presence and communication skills with the ability to influence senior GTM, Marketing, Finance, and IT stakeholders.
  • Track record of building, developing, and retaining strong technical leaders and specialized individual contributors.
  • Deep fluency in the modern GTM technology stack, including Salesforce, marketing automation, sales engagement, CPQ, and related integration patterns.
  • Strong working knowledge of modern data and AI stacks such as BigQuery, Snowflake, Databricks, dbt, vector databases, and LLM orchestration frameworks.
  • Experience operationalizing ML and GenAI use cases inside GTM systems and embedding them into adopted workflows.
  • Strong understanding of data governance, MDM, and enterprise data quality foundations.
  • Sound judgment on engineering practices, system architecture, vendor selection, and total cost of ownership trade-offs.
  • Hands-on experience with agentic AI, retrieval-augmented generation (RAG), or knowledge-graph-based approaches is a plus.
  • Working knowledge of the Elastic Stack, including Elasticsearch, Kibana, and vector search, is a plus.
  • Experience partnering with central IT or Enterprise Data organizations is a plus.

Benefits

  • Base salary with no variable compensation component.
  • Typical starting salary range of $212,100 to $335,600 USD.
  • Select-location salary range of $254,900 to $403,200 USD for certain U.S. metro areas.
  • Eligibility to participate in Elastic’s stock program.
  • Company-matched 401(k) with dollar-for-dollar matching up to 6% of eligible earnings.
  • Health coverage for you and your family in many locations.
  • Flexible locations and schedules for many roles.
  • Generous number of vacation days each year.
  • Up to 40 hours each year for volunteer projects.
  • Minimum of 16 weeks of parental leave.
  • Donation and service match of up to $2,000 or local currency equivalent.

Interested in this position?

Apply directly on the company website

Apply Now

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