This role pays more than
69%
of similar roles. Most pay
$204,212–$285,000
— the shaded band above.
At the midpoint, this role pays about
$274k
versus about
$245k
for comparable roles.
Based on 239 similar postings.
Employer
About Elastic
Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.
Elastic currently has
240 open roles
on FindRole.
Listed pay typically runs
$133,100–$210,600
across 91 roles with salary data.
Sr. Director, Field Technology and AI leads the GTM Technology organization to accelerate and apply artificial intelligence across the company's go-to-market motion. Reporting into Revenue Operations leadership, this role oversees four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. The primary responsibility is to unify these disciplines into a single operating model that solves go-to-market problems at scale by embedding AI into seller and leader experiences. Key initiatives include developing account scoring, next-best-action tools, seller copilots, agentic workflows, and conversational analytics. The role requires expertise in the modern GTM technology stack including Salesforce, marketing automation, and CPQ systems. Additionally, the candidate must possess deep knowledge of data and AI stacks involving BigQuery, Snowflake, Databricks, dbt, vector databases, and LLM orchestration frameworks to ensure trustworthy, high-quality data for enterprise-scale applications.
LLM
Vector Databases
Agentic Orchestration
MLOps
AWS
Azure
GCP
Docker
Kubernetes
PLM
CFD
FEA
Six Sigma
Data Engineering
Digital Thread
Model Based Systems Engineering
Generative AI
Large Language Models (LLMs)
Foundation Models
Natural Language Processing
Computer Vision
Model Alignment
Fine-tuning
Machine Learning
Multimodal Data
AI
Machine Learning
Data Engineering
Python
SQL
ETL
Predictive Analytics
Oracle Fusion Cloud
Business Intelligence
Data Modeling
Cloud Infrastructure
Distributed Systems
Automation Frameworks
Lean
Six Sigma