Principal, Specialist SE

Applications will be accepted until 06/29/2026.

Sits 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.

• Design, build, and operationalize agentic AI‑driven workflows using Large Language Models (LLMs), prompt engineering, and tools like Agentforce Vibes, Claude, Cursor, and Git Hub Copilot to accelerate demo creation.
• Empower customers to build, configure, and support their own Salesforce environments faster and smarter using industry‑specific clouds like Agentforce for Public Sector.
• Proactively 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 metrics.
• Act 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 workflows.

• B.S. Computer Science, Software Engineering, MIS
• United States Citizenship required
• Knowledge of related applications, relational database and web technology
• Solid oral, written, presentation, collaboration and interpersonal communication skills
• Ability to work as part of a team to solve technical problems in varied political environments
• Minimum of 4 years of professional experience
• Background 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 Sector.
• Hands‑on experience with LLMs, prompt engineering, and AI‑assisted development tools (Claude, Cursor, Git Hub Copilot), along with an understanding of the Model Context Protocol
• Proficiency in scripting (Python, Node.js, Bash), Dev Ops (Git, Continuous Integration/Continuous Deployment (CI/CD), Docker), and robust API integration (REST/Graph
  
  QL) to design accelerators for State and Local Government
• Ability to travel 20‑30% for customer engagements, Tiger Team activations, and industry events

• Salesforce Certifications
• Previous experience as a solution/sales engineer
• Hands‑on experience sourcing and working with open data sets from platforms like Hugging Face and Kaggle.
• Familiarity with open‑sourcing projects and creating technical localization guides for partners.
• Familiarity with Agentforce, Einstein, or Salesforce AI features.
• Active participation in the AI developer community (open source contributions, blog posts, conference talks).

For roles in San Francisco and Los Angeles:
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.