Description
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 breakdown of complex initiatives
Identify risks, dependencies, and trade-offs early in the lifecycle
Drive execution across multiple concurrent projects in a global delivery model
6. Stakeholder & Cross-Functional Leadership
Partner with Product, Architecture, and Business teams to shape solutions
Translate business requirements into clear technical strategies and trade-offs
Influence decisions across teams and drive alignment on engineering direction
7. Mentorship & Talent Development
Mentor and grow engineers across skill levels
Act as a technical anchor and multiplier for the team
Contribute to hiring and raising the engineering bar
Required Qualifications
A related technical degree required
8+ years of experience in software engineering
Strong expertise in Salesforce platform: Apex, LWC, Lightning, Flows, Visualforce
Solid experience with Java and object-oriented design principles
Deep understanding of Sales Cloud and end-to-end CRM lifecycle
Experience with system integrations (REST/SOAP APIs, event-driven patterns)
Proficiency with modern development practices (Git, CI/CD, Agile)
Experience with Salesforce DX, scratch orgs, and release management processes
Preferred Qualifications
Experience with Agentforce, Data Cloud, and AI-driven application development
Familiarity with agentic development environments (e.g., Cursor, Windsurf, Claude Code)
Strong background in Large Data Volume (LDV) architecture and performance tuning
Experience with test automation frameworks and quality engineering practices
Multiple Salesforce certifications (PD I/II, Application/System Architect)
Experience in enterprise-scale SaaS environments
Leadership Expectations
Strong technical judgment and ability to drive decisions under ambiguity
Excellent communication and stakeholder management skills
Ability to operate effectively across multiple teams and priorities
Proven track record of delivering scalable, durable systems
Why This Role
This is a high-impact role where you will:
Shape the technical direction of critical business systems
Drive next-generation AI-enabled development practices
Influence engineering culture, quality, and velocity at scale