Sr. Director, Field Technology and AI

Elastic; United States; Hybrid; USD 212,100 - 335,600; Full time

Benefits offered by this job

401(k) matching

Generous vacation days

Health coverage

Job summary

Elastic is looking for a Sr. Director of Field Technology and AI to lead the GTM Technology organization, driving AI adoption and delivering measurable outcomes. You will oversee Engineering, Data Science, Customer Data Strategy, and Application Administration teams, aligning them into a unified roadmap.

Success in this role entails strategic leadership in AI, a strong command of modern GTM technology stacks, and the ability to influence across departments. The typical starting salary for this position ranges from $212,100 to $335,600 USD.

Qualifications

• 12+ years in GTM technology and 7+ years in leadership roles.
• Experience in building or transforming a Field/GTM Technology organization.
• Strong track record of leading multi-disciplinary teams.

Responsibilities

• Define and own the AI strategy across the GTM ecosystem.
• Lead and mentor a multi-disciplinary organization.
• Establish KPIs and report progress to stakeholders.
• Manage engineering, data science, customer strategy, and admin teams.

Skills

Leadership in GTM technology

Data science expertise

Strong communication skills

AI knowledge

Technical stack fluency

Tools

Salesforce

BigQuery

Snowflake

Job description

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 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.
  • Govern the Technology Portfolio: Make principled build/buy/partner decisions across the GTM tech stack, balancing innovation speed with platform stability, cost, and long-term scalability.
  • Embed AI Responsibly: Establish the principles, guardrails, and review mechanisms that ensure AI is deployed at Elastic in ways that are accurate, explainable, secure, and aligned with company values.

What You Bring

• Strategic Leadership & GTM Understanding
  • 12+ years of progressive experience in GTM technology, RevOps systems, data/analytics, or applied AI, including 7+ years in senior leadership roles managing multiple sub-functions and leaders-of-leaders.
  • Proven track record building or transforming a Field/GTM Technology organization in a global B2B SaaS environment, with measurable impact on pipeline, productivity, or revenue outcomes.
  • Demonstrated success leading multi-disciplinary teams across engineering, data science, data strategy, and application administration, and creating an operating model that aligns them around shared outcomes.
  • Exceptional executive presence and communication skills, with the ability to influence senior GTM, Marketing, Finance, and IT stakeholders, and to translate technical strategy into business outcomes.
  • Track record of building, developing, and retaining strong technical leaders and specialized individual contributors.
• Technical Expertise & Execution
  • Deep fluency in the modern GTM technology stack, including CRM (Salesforce), marketing automation, sales engagement, CPQ, and the integration patterns that connect them.
  • Strong working knowledge of modern data and AI stacks (BigQuery, Snowflake, Databricks, dbt, vector databases, LLM orchestration frameworks) and how they combine to deliver applied AI capabilities into operational workflows.
  • Experience operationalizing ML and GenAI use cases inside GTM systems, moving from model output to embedded, adopted, measurable seller and leader experiences.
  • Strong understanding of data governance, MDM, and the data quality foundation required to make AI trustworthy at enterprise scale.
  • Sound judgment on engineering practices, system architecture, vendor selection, and total-cost-of-ownership trade-offs.

Bonus Points

• Hands‑on experience deploying agentic AI, retrieval‑augmented generation (RAG), or knowledge‑graph‑based approaches in a GTM or enterprise operations context.
• Working knowledge of the Elastic Stack (Elasticsearch, Kibana, vector search) and how it can be leveraged to power internal GTM applications and AI use cases.
• Experience partnering closely with central IT/Enterprise Data organizations to deliver shared outcomes across organizational seams.

Compensation

Compensation for this role is in the form of a base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is $212,100 — $335,600 USD.

The typical starting salary range for this role in the select locations listed above (Seattle WA, Los Angeles CA, San Francisco Bay Area CA, New York City Metro Area) is $254,900 — $403,200 USD.

In addition to cash compensation, this role is eligible to participate in Elastic’s stock program. Elastic also offers a company‑matched 401(k) with dollar‑for‑dollar matching up to 6% of eligible earnings, along with other benefits focused on employee well‑being.

Additional Information – We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. We value people of all ages and stages of life and encourage a culture of inclusivity.

We strive to provide parity of benefits across regions. Benefits include competitive pay, health coverage for you and your family, flexible scheduling options, generous vacation days, donation matching up to $2,000, volunteer leave up to 40 hours, and a minimum of 16 weeks of parental leave.

Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience. To request an accommodation during the application or recruiting process, please email [e-mail]. We will reply to your request within 24 business hours of submission.

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