Description
Key Responsibilities:
* Serve as an architecture governance authority for key SI partners, conducting design reviews, pre-go-live assessments, and post-deployment optimization for Agentforce implementations.
* Build working reference implementations, Partner Field Kits, and reusable patterns that partners can fork, extend, and deploy, scaling our impact across the ecosystem.
* Provide white-glove deployment support for lighthouse, high-risk, and first-of-kind Agentforce deployments in enterprise environments.
* Advise on partner technical artifacts including MCP servers, sub-agents, and agent skills for production readiness, security, and performance considerations.
* Establish evaluation frameworks, observability standards, and production quality benchmarks that make Agentforce feel like a real enterprise platform.
* Collaborate with Salesforce Product and Engineering teams to translate field signals into platform improvements—owning the partner feedback loop.
* Model agent economics and consumption patterns, helping partners build outcome-based pricing and sustainable delivery models.
What We're Looking For:
* 5+ years of hands-on Salesforce development and architecture experience, with deep expertise in Data Cloud (vector databases, semantic retrieval, zero-copy federation), Agentforce, and Einstein AI.
* 3+ years of production AI/ML experience, including LLM deployments, agent development, advanced prompt engineering, evaluation frameworks, and cost optimization at scale.
* True builder mindset—you work with code, create reusable assets, and learn by building. Portfolio of technical work required (GitHub, demos, architecture docs).
* Applied agentic architecture expertise: single-agent and multi-agent patterns, orchestration, memory management, guardrails, hallucination mitigation, and production debugging.
* Enterprise strategic planning exposure—you've worked with CIOs, CTOs, and enterprise architects on multi-year AI transformation roadmaps and understand consumption economics.
* Track record of connecting technical work to business outcomes—you understand how architecture quality drives partner win rates, consumption growth, and expansion velocity.
* Strong understanding of regulated industry requirements (HIPAA, GDPR, SOC2) and enterprise security patterns.
* Exceptional communication skills—able to lead architecture conversations at both strategic and deeply technical levels.
Preferred Qualifications:
* Salesforce Technical Architect certification or equivalent enterprise architecture credentials.
* Experience at a tier-1 system integrator (McKinsey, Accenture, Deloitte, etc.) or in a field CTO / forward-deployed engineer capacity.
* Published thought leadership—conference talks, technical blog posts, open source contributions, or architecture whitepapers.
* Experience designing certification programs, maturity models, or partner enablement frameworks.
* Deep consumption economics expertise—TCO modeling, outcome-based pricing, agent economics.
* Familiarity with enterprise architecture frameworks (TOGAF, Zachman) and capability maturity models.
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.