Lead Salesforce Full Stack AI Engineer
Elastic
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 90% of similar roles. Most pay $184,950–$216,000 — the shaded band above. At the midpoint, this role pays about $146k versus about $200k for comparable roles.
Based on 240 similar postings.
Employer
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.
Most-posted roles
At a glance
Lead Salesforce Full Stack Engineer. This role involves joining a technical team to design, build, and ship full-stack features including UI, APIs, business logic, data models, and integrations. You will develop modern frontend experiences using component-based UI and responsive design while building robust backend services and RESTful APIs. The position requires extensive use of AI-assisted development tools like Cursor, Claude Code, Codex, or GitHub Copilot to manage the software development lifecycle. Key technologies include Salesforce, MuleSoft, Lightning Web Components, Apex, SOQL/SOSL, Flows, JavaScript, TypeScript, HTML, CSS, and SQL. You will solve complex business problems by streamlining revenue processes, scaling platform architecture, and building agentic, AI-powered features like workflow automations and AI agents to eliminate manual work while ensuring high-quality, maintainable code across the entire stack.
Skills
What you'll do
What we're looking for
More like this
Elastic
MongoDB
Elastic
Palo Alto Networks
MongoDB
Salesforce