Sr. Director, Field Technology and AI

Das ist der Job

What is The Role As the Sr.

Darum lohnt es sich

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. 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.

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.

Lead a Multi-Disciplinary Organization : Build, mentor, and lead an organization across four functional teams, each with their own leaders, roadmaps, and outcomes. Measure & Communicate Impact : Establish KPIs for AI-driven outcomes, system performance, data quality, and team delivery.

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.

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.

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.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. 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.

Data Science creates new synthetic signals for action. 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.

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.

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.

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.

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.

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.

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 for this role is in the form of base salary.

This role does not have a variable compensation component. The typical starting salary range for this role is $212,100—$335,600 USD. The typical starting salary range for this role in the select locations listed above is $254,900—$403,200 USD.

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. Your age is only a number.

It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. Competitive pay based on the work you do here and not your previous salary. Health coverage for you and your family in many locations. Ability to craft your calendar with flexible locations and schedules for many roles.

Generous number of vacation days each year. Increase your impact – We match up to $2000 (or local currency equivalent) for financial donations and service. Up to 40 hours each year to use toward volunteer projects you love. Embracing parenthood with minimum of 16 weeks of parental leave.

Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or 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 for all individuals. To request an accommodation during the application or the recruiting process, please email We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster).

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia.

If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #J-18808-Ljbffr