Lead Salesforce Full Stack AI Engineer

Elastic

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
21 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $211k
$187k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $192,050–$230,400.

Based on 240 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.

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At a glance

TL;DR · Lead Salesforce Full Stack AI Engineer

Lead Salesforce Full Stack AI Engineer As a Lead Salesforce Full Stack AI Engineer, you will join the engineering team to transform ambiguous business challenges into high-quality production solutions while streamlining critical revenue processes and scaling platform architecture. You will design and build full-stack features including UI, APIs, data models, and integrations using Lightning Web Components, Apex, SOQL/SOSL, Flows, and MuleSoft. The role requires an AI-native workflow, utilizing tools like Cursor, Claude Code, Codex, or GitHub Copilot to accelerate development across the software development lifecycle. You will build agentic features and automated workflows to eliminate manual work while ensuring engineering rigor. Key technical requirements include proficiency in JavaScript, TypeScript, HTML, CSS, RESTful API design, and SQL. You will solve complex problems by integrating AI-powered tools into business processes to improve reliability and scalability within the Salesforce ecosystem.

What you'll do

  • Build and ship full-stack features including UI, APIs, business logic, and data models.
  • Develop modern frontend experiences using component-based UI and responsive design principles.
  • Integrate AI-assisted development tools like Cursor or Claude Code to accelerate the software development lifecycle.
  • Design and implement integrations using REST APIs and event-driven patterns.
  • Develop Salesforce-specific features using Lightning Web Components, Apex, SOQL/SOSL, and Flows.
  • Build agentic and AI-powered features to automate manual business processes and workflows.
  • Manage the full feature lifecycle from initial solution design through testing and production support.
  • Improve platform reliability and scalability while streamlining critical revenue processes.

What we're looking for

  • 12+ years of professional full-stack software engineering experience across frontend, backend, APIs, and data.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
  • Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS) and backend development (OOP, RESTful API design, SQL).
  • Hands-on experience using AI-assisted coding tools like Cursor, Claude Code, Codex, or GitHub Copilot to develop and review code.
  • Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices.
  • Ability to translate ambiguous business problems into scalable technical solutions through strong analytical and problem-solving skills.
  • Experience with Salesforce (LWC, Apex, SOQL/SOSL) or MuleSoft is supported for those willing to ramp up on the platform.
  • Export controls.

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