Principal, Specialist SE

Principal, Solution EngineeringApplications will be accepted until 09/30/2026.Overview of the RoleSits at the intersection of AI-assisted development, Salesforce platform expertise, and customer enablement. This is not a traditional Solution Engineer role; it is built for builders who are deeply curious about how AI agents change the way technical work gets done and who want to be at the forefront of that shift.ResponsibilitiesDesign, build, and operationalize agentic AI-driven workflows using Large Language Models (LLMs), prompt engineering, and tools like Agentforce Vibes, Claude, Cursor, and GitHub Copilot to accelerate demo creationEmpower customers to build, configure, and support their own Salesforce environments faster and smarter using industry-specific clouds like Agentforce for Public SectorProactively build production-ready, open-sourced, and standards-aligned accelerators targeting State and Local Government customers based on the 80% Generic Core philosophy, providing Localization Guides for the Systems Integrator (SI)-led final 20%Scope every accelerator through the Triple Filter (Open Data Mandate, Standards Mandate, Revenue Matrix) and measure success by Net New Annual Order Value (NNAOV) and consumption metricsAct as a strategic advisor to Product Management, providing critical feedback on Agentforce Vibes and identifying cross-functional integration gaps within the Headless 360 ecosystem to optimize AI-assisted development workflowsRequired QualificationsBackground as a Platform or Technical Architect with expertise in Salesforce platform capabilities (Apex, Lightning Web Components (LWC), Flow, Salesforce DX) and industry-specific clouds like Agentforce for Public SectorHands-on experience with LLMs, prompt engineering, and AI-assisted development tools (Claude, Cursor, GitHub Copilot), along with an understanding of the Model Context ProtocolProficiency in scripting (Python, Node.js, Bash), DevOps (Git, Continuous Integration/Continuous Deployment (CI/CD), Docker), and robust API integration (REST/GraphQL) to design accelerators for State and Local GovernmentAbility to travel 20-30% for customer engagements, Tiger Team activations, and industry eventsPreferred QualificationsHands-on experience sourcing and working with open data sets from platforms like Hugging Face and KaggleFamiliarity with open-sourcing projects and creating technical localization guides for partnersFamiliarity with Agentforce, Einstein, or Salesforce AI featuresActive participation in the AI developer community (open source contributions, blog posts, conference talks)Compensation and BenefitsIn the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. The typical base salary range for this position is $113,500 to $157,640 annually. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington D.C., the base pay range is $124,000 to $173,460 per year. Additional compensation may include incentive compensation, equity, and benefits. Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.EEO StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The policy also applies to compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.J-18808-Ljbffr