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LMTS, Salesforce

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Salesforce, Inc.
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
## LMTS, Salesforce Apply remote type:
Office Tech-Flexible locations:
Texas - Dallas time type:
Full time posted on:
Posted Todayjob requisition :
JR341970
* To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
* Job Category Software Engineering Job Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
** About the Team
** DET Sales Engineering is a world-class digital engineering organization responsible for designing, building, and scaling applications and intelligent agents that power Salesforce's Sales & Post Sales business processes.

You'll be joining the broader DET Salesforce on Salesforce team, a strategic pillar within Salesforce's Digital Enterprise Technology organization and a key part of Salesforce's "Customer Zero" initiative. Specifically, you'll be part of the Salesforce on Salesforce Technology group, where we develop and deploy enterprise-scale solutions that power the company's global sales operations, customer success processes, and revenue operations — while serving as the primary validation ground for emerging Salesforce technologies.

This role offers the unique opportunity to build cutting-edge solutions using Agentforce, AI agents, and next-generation platform capabilities, directly impacting thousands of internal users and influencing product development across Sales & Partner Operations, Customer Success, Revenue Operations, and major M&A integrations. You'll be at the forefront of Salesforce's internal digital transformation, working on high-visibility initiatives that demonstrate the full potential of the Salesforce platform to both internal stakeholders and the broader customer ecosystem.
** Role Overview
** We are seeking a Lead Member of Technical Staff (LMTS) to drive end-to-end engineering ownership across a portfolio of complex, business-critical initiatives.

This role goes beyond implementation—you will shape architecture, influence engineering standards, mentor teams, and drive adoption of modern (AI-assisted) development practices.

You will partner closely with Architects, Product Managers, and global engineering teams to build scalable, high-performance Salesforce applications that deliver long-term business value.
** Key Responsibilities
** 1. Technical Leadership & Architecture
* Lead end-to-end technical design and delivery of complex Salesforce solutions
* Translate architectural vision into scalable, maintainable implementations
* Drive design decisions balancing performance, governor limits, security, and extensibility
* Define and evolve enterprise engineering patterns (Apex, LWC, integration frameworks)2. Engineering Excellence & Governance
* Establish and enforce coding standards, review practices, and quality benchmarks
* Provide hands-on code reviews and actively guide developers across teams
* Drive test automation, CI/CD maturity, and release discipline
* Proactively manage technical debt, dependencies, and system health
3. Platform Strategy & Innovation
* Lead adoption of Agentforce, Data Cloud, and AI-assisted development tools
* Evaluate new technologies via POCs, build vs. buy decisions, and technical benchmarking
* Introduce agentic development workflows to improve engineering velocity
4. Data & Performance Engineering
* Design and govern scalable data models for large data volumes (LDV)
* Optimize SOQL, indexing strategies, and transaction performance
* Ensure high standards of data integrity, security, and compliance
5. Delivery Ownership & Execution
* Own technical scoping, estimation, and…
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