Field CAIO (AI & Agentic Ecosystem)

Join Salesforce as a Field Chief AI Officer (CAIO) and play a pivotal role in shaping the AI strategy and vision for enterprise AI at scale. You will be the go-to authority on large language models (LLMs) and agentic implementations, translating AI capability into concrete business process improvement. You will also serve as a long-term trusted advisor to strategic accounts on their AI roadmap and co-own architecture patterns with AI ecosystem partners.

Agir en tant que conseiller de confiance à long terme pour les comptes stratégiques sur leur feuille de route en matière d'IA.

Good tech depth on at least one Salesforce cloud and core/platform, and a good understanding of major features and capabilities of Salesforce offering

Builder — has shipped an AI product, not just prototyped one

Fluent English required; additional EMEA languages a plus

About Salesforce

Demonstrated C-level advisory experience, translating AI potential into business-process outcomes

Responsibilities

• Aider un CDAIO à façonner leur stratégie et leur vision de l'IA pour l'entreprise à grande échelle.
• Être l'autorité de référence sur les LLM et les mises en œuvre agentiques, en traduisant la technologie en résultats mesurables.
• AI & Agentic: LLMs, RAG, vector stores, agent orchestration, MCP/A2A interoperability, evaluation/observability frameworks

Requirements

• Salesforce Platform: Solid working knowledge of Agentforce and at least one cloud (Data 360, Sales, Service, or Industry Clouds)
• Data Foundations: Enough data-platform fluency (cloud DWH/DL) to know when data quality is the real blocker to AI value

Sales Instinct — genuinely enthusiastic, commercially driven

• Strong grasp of what makes production AI trustworthy: transparency, observability, guardrails, evaluation — able to speak to this with engineering and business audiences alike
• 10-15+ years in AI/ML, applied data science, or technical consulting, with recent deep focus on LLMs and agentic systems
• Production & Trust: Guardrails, governance, monitoring, and transparency patterns for deployed AI systems
• Applied AI-to-Value: Use-case framing, business process redesign, ROI measurement for AI initiatives
• Demonstrated track record of taking AI tools into production — ideally: built an AI product or company, and can show references for the business impact delivered to customers

Degree or equivalent experience

• Pragmatist — cares about measurable business value over technical novelty
• Trust Broker — makes customers comfortable putting AI into production

Pay

Storyteller — moves a room from "interesting demo" to "let's fund this"