Director, Software Engineering

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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.

The Legal, Risk and Compliance (LRC) organization is seeking a visionary Director of Software Engineering to lead transformational change across our compliance, governance, and risk management platforms. This is a unique opportunity to shape the future of intelligent, AI-powered compliance and risk solutions using Agentforce and the Salesforce Platform—redefining how we enable trusted, ethical, and resilient business operations globally.

In this high-impact leadership role, you will guide teams of talented software engineers to deliver secure, scalable, and intelligent capabilities that empower our legal and compliance stakeholders. Your focus will be on building adaptive systems and AI agents that automate controls, surface actionable insights, and strengthen enterprise-wide compliance posture—while partnering closely with product management, architecture, and engineering leaders.

We’re looking for a leader with a proven track record in building AI/ML-driven enterprise applications in domains such as governance, risk, compliance, or security. You should be passionate about large-scale system design, data-driven intelligence, and have the technical depth to mentor and inspire senior engineers in delivering trusted, next-generation LRC experiences.

Required Skills/Experience

• 15+ years of professional experience with 5+ years in people management and leading software engineering teams

• Experience building Enterprise Software that incorporates LLM solutions.

• Deep understanding of API design and integration patterns (REST, GraphQL, bulk, composite).

• Knowledge of data modeling, data governance, and master data management (MDM) best practices.

• Good understanding of technology and architecture in a highly scalable and available setup

• Experience running scrum and kanban processes, and have worked on a product that was released for public consumption

• Knowledge of professional software engineering best practices including coding standards, code reviews, build processes, testing, and operations

• Experience with short release cycles, the full software lifecycle, and experience working on products that have been released for broad public consumption

• Strong verbal and written interpersonal skills, impeccable organizational and time management skills

• Experienced in managing managers, mentoring engineers, recruiting, and retaining top talent

Desired Skills/Experience

• Salesforce technology expertise preferred including Salesforce Platform and Data Cloud

• Experience leading cross-cloud or multi-cloud Salesforce implementations.

• Experience of working in full-stack technologies with expertise in Front-end (Javascript etc), Back-end (business logic) and Data layer

• Experience integrating Salesforce with external systems via MuleSoft, REST/SOAP APIs, or event-driven architectures.

• Familiarity with DevOps Center, CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins), and automated testing frameworks.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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