• This role focuses on AI-led innovations and deep integration across the Company ecosystem, including Sales, Service, Marketing, Commerce, Data Cloud, and Agentforce

This role combines strategic vision, deep platform expertise, and hands-on architectural leadership to design scalable, integrated, and high-impact solutions for Field Service-specifically focusing on optimizing complex operations involving humans, agents, and robots, both onsite and in the field

• Designing Agentic solutions for hybrid Scheduling and Operations Optimization to support autonomous and complex scenarios involving humans, digital agents, and physical robots
• Acting as a trusted advisor to executive stakeholders to align business goals with technical execution, while mentoring technical talent and driving enterprise standards and innovation across our multi-cloud landscape

Establish the long-term technology strategy and architecture for Field Service, specifically focusing on Scheduling and Optimization for complex enterprise environments as well as cohesive end to end experiences for Dispatchers, Supervisors and technicians

• Ensure tight alignment between business priorities (e.g., reduced roll times, higher first-time fix rates) and platform investments, driving digital transformation outcomes that leverage humans, digital agents, and physical robots
• Champion emerging capabilities-specifically AI, Data Cloud, and Agentforce-to guide organizations through modernization and the adoption of autonomous field operations
• Lead architecture design covering data models, security, and scalability for global, multi-region implementations, ensuring high performance for compute-intensive scheduling operations
• Act as a trusted advisor to CIOs, CTOs, and product leaders, translating complex architectural decisions into clear execution plans for both technical and non-technical stakeholders
• Drive multi-cloud architectures that leverage Sales, Service, Marketing, Commerce, and Data Cloud to create a unified view of the customer and asset lifecycle

Coach and mentor architects, developers, and delivery teams on design excellence, standardizing patterns for hyperscale, multi-substrate architectures and system interoperability

• Bachelor's or Master's in Computer Science or Engineering
• At least fifteen (15) years of experience in platform architecture (SaaS, PaaS), including at least three (3) years of experience applying AI/ML technologies to platform or product architecture
• Broad knowledge across the Company platform, including multi-cloud capabilities, extensibility options, and ecosystem tools
• Demonstrated experience and interest in architecting complex and scalable platforms; expert-level knowledge of relevant architecture, design principles, and patterns
• Proven ability designing architectures for global, multi-region, highly regulated organizations

Proven ability to analyze complex business challenges and translate them into technical blueprints and execution plans that deliver measurable value

• Demonstrated experience with integration patterns, enterprise data architecture, API management, DevOps/CI-CD, security models, performance tuning, and distributed-system design

Demonstrated experience designing and governing integrations with core enterprise platforms (e.g., SAP, Oracle, legacy systems) using MuleSoft, Heroku, and modern API frameworks

• The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education
• In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience
• Certain roles may be eligible for incentive compensation, equity, and benefits
• Company offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program
• The typical base salary range for this position is $257,500 - $451,700 annually
• In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $310,200 - $496,400 annually

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable