Lead Member of Technical Staff (LMTS) - Engineering Excellence & AI Leadership

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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

We are seeking a resilient and highly experienced technical leader to join our team, our Ohana (family), and drive the next phase of our product development. As an LMTS, you will be instrumental in setting the technical direction and engineering standards for a critical product line, collaborating closely with Product Management, Architecture, and business stakeholders. Your work will directly impact millions of users, focusing on delivering features that are not only high-quality but also technically brilliant, highly scalable, and secure. We thrive on solving complex, distributed systems challenges and fostering an environment of continuous learning and innovation.

The Role: Technical Leadership & Excellence

As a Lead Member of Technical Staff, you will be a hands-on technical leader responsible for driving engineering excellence across the full development lifecycle. This role requires a blend of deep technical expertise, a passion for emerging AI technologies, and the ability to mentor and elevate the entire engineering team.

Key Responsibilities

• Technical & Engineering Leadership: Champion and enforce best-in-class engineering practices, including architecture reviews, code quality, scalability design, and security standards.

• Emerging AI Technology Lead: Spearhead the research, prototyping, and integration of AI/ML technologies and other emerging solutions to enhance product features, performance, and user experience.

• Full-Cycle Development Ownership: Lead the design and development of features from concept to production, ensuring adherence to functional, performance, security, and compliance standards for a platform catering to millions of users.

• Quality Engineering & DevSecOps: Assume ownership of service quality by defining comprehensive test strategies, building advanced automation frameworks, and promoting DevSecOps and resilience practices.

• Architecture & Strategy: Collaborate with engineering leadership and architects to define and evolve the long-term technical roadmap, system architecture landscapes, and identify key gaps between current and desired states.

• Mentorship & Influence: Set and uphold coding standards, foster critical thinking and technical innovation, and establish open dialogue and trust across upstream and downstream service teams.

What You'll Bring

Required Experience & Technical Expertise

• 10+ years of progressive experience in software development, with a significant track record in designing and building large web-based, distributed systems.

• Deep Salesforce Expertise (8+ years required): Expert-level comprehension of the Salesforce Platform and product suite (e.g., Sales, Service, Community, Marketing, Experience Clouds).

• Experience Cloud Experience & Slack Integration is required

• System Architecture & Integration Mastery:

  • Strong understanding of scalable system architecture, key design patterns, and handling large data volume (LDV) limitations and best practices.

  • Expertise in data integration patterns and tools, with hands-on experience integrating Salesforce with various business systems.

  • Must have experience with MuleSoft and other leading integration technologies.

• AI/Emerging Technology Experience: Practical experience or a strong foundational understanding of AI/ML technologies and their application in enterprise software.

• Coding Proficiency: Expert-level proficiency in multiple modern programming languages, including but not limited to Java, JavaScript, Apex, and Lightning Web Components (LWC).

• Experience in CI/CD - jenkins Pieline an