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Sr. Director of AI - Field Service Engineering

Salesforce
San Francisco, United Statesfull_timeVerifiedPosted 14 Jul 2025
💰 $306,600/yr($211,500/yr$306,600/yr)

About the role

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Job Category

Software Engineering

Job Details

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’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’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 looking for a technically strong, energetic and experienced Director of 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. If you thrive in a fast-moving environment, have a passion for innovation, and want to be at the forefront of AI transformation, we want to hear from you!

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 overseeing design and development, ensuring high-quality, scalable delivery aligned with business goals. 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.

  • Operational & Technical Excellence: Ensure performance, reliability, and scalability through best practices, monitoring, and hands-on technical guidance.

  • Strategic & Cross-Functional Leadership: Drive collaboration across teams, translating technical goals for leadership and influencing long-term AI investments.

  • 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 managing multiple engineering teams driving complex initiatives.

  • 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.

  • Excellent verbal and written communication skills with ability to influence at all levels internally and externally.

  • Experience with agile methodologies and acting as a S

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Company

Salesforce

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