Director - Field Service Engineering, AI

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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

We are seeking an experienced Director of AI - Field Service Engineering to lead the strategy, architecture, and execution of our next-generation AI-powered Field Service solutions. This leader will be responsible for building and scaling a world-class engineering organization that delivers intelligent, agentic experiences for enterprise customers. You will drive the fusion of Generative AI, RAG (Retrieval-Augmented Generation), and enterprise-grade automation to reimagine how Field Service work is planned, executed, and optimized.

What you will be doing:

• Technical Leadership: Define and own technical vision of AI-native Field Service apps, integrating LLMs, and enterprise data systems.

• Engineering Execution: Lead multiple engineering teams, ensuring high-quality, scalable delivery aligned with business goals. Ensure enterprise-grade security, availability, performance and scalability.

• Product Partnership: Collaborate closely with Product, UX, and cross functional teams to drive innovation, rapid prototyping, and customer-centric solutioning.

• Platform Thinking: Champion reusability, modularity, and headless design principles to power multi-surface applications (web, mobile, chat, voice).

• Performance Management: Build, mentor, and grow high-performing teams; foster a culture of ownership, engineering excellence, and continuous improvement.

• Customer Innovation: Engage with strategic customers to co-create solutions, influence roadmaps, and ensure adoption of emerging capabilities.

Required Sills:

• 12+ years of experience in software engineering with at least 5+ years in engineering leadership experience.

• Deep experience building large-scale enterprise applications, preferably in Field Service, or related domains (e.g., CRM, ERP).

• Foundational AI Knowledge : Exposure to modern AI/ML techniques, especially Large Language Models, RAG workflows, or agent-based systems

• Track record of delivering AI-driven features from concept to production.

• Strong communication skills; ability to influence at all levels internally and externally.

• Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related technical field

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