About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The world of work is changing, and Salesforce is looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Agentforce is the future of AI, and this role is the future of Salesforce.
This is Salesforce's most senior technical voice on AI and agentic strategy in EMEA — someone who's actually shipped an AI product into production, not just prototyped one, and knows how to turn LLM/agentic capability into measurable business value customers can trust. Solid on at least one Salesforce cloud, but the real bar is production trust, transparency, and business-process ROI — not Salesforce platform depth or fine-tuning mechanics.
The Field CAIO needs to be credible enough to help a CDAIO shape their AI strategy and vision for enterprise AI at scale — and then translate that vision into the role Salesforce plays within it, connecting enterprise-wide AI ambition to what's actually buildable and trustworthy on the platform.
Your Impact
1. AI & Agentic Thought Leadership
•The field's go-to authority on LLMs and agentic implementations — not the hyperparameters or fine-tuning mechanics, but how to put the technology to real, measurable work based on the Salesforce Platform
•Sales-driven, C-level presence: CAIOs, CTOs, and business leaders treat you as the peer who can turn "we should use AI" into a funded, working plan
•Present at events, analyst briefings, and customer boards; publish points of view on what actually works in production AI versus what's hype
2. From Idea to Production — Business Value & Trust
•Own the hardest part of the AI story: getting tools out of the demo and into production, with the trust and transparency for a business to depend on them
•Translate AI capability into concrete business process improvement — help customers frame the problem, size the value, and pick the right first use case
•Bring hands-on architectural credibility on agentic patterns (orchestration, tool use, guardrails, observability) so customers trust what an agent will and won't do
•Long-term trusted advisor to strategic accounts on their AI roadmap, beyond any single deal
3. Reference Architecture & Technical GTM for AI
•Build reference architectures and GTM narratives for new AI/agentic offerings ahead of launch
•Package proof points and playbooks — ideally drawn from your own track record of shipping AI products — that the wider architect community can reuse
•Co-own architecture patterns with AI ecosystem partners (hyperscalers, model providers, agent-framework vendors) to accelerate joint solutioning
Qualifications
•10-15+ years in AI/ML, applied data science, or technical consulting, with recent deep focus on LLMs and agentic systems
•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
•Good tech depth on at least one Salesforce cloud and core/platform, and a good understanding of major features and capabilities of Salesforce offering
•Strong grasp of what makes production AI trustworthy: transparency, observability, guardrails, evaluation — able to speak to this with engineering and business audiences alike
•Demonstrated C-level advisory experience, translating AI potential into business-process outcomes
•Fluent English required; additional EMEA languages a plus
•Degree or equivalent experience
Technical Skill Set
•AI & Agentic: LLMs, RAG, vector stores, agent orchestration, MCP/A2A interoperability, evaluation/observability frameworks
•Applied AI-to-Value: Use-case framing, business process redesign, ROI measurement for AI initiatives
•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
•Production & Trust: Guardrails, governance, monitoring, and transparency patterns for deployed AI systems
Key Qualities
•Builder — has shipped an AI product, not just prototyped one
•Pragmatist — cares about measurable business value over technical novelty
•Trust Broker — makes customers comfortable putting AI into production
•Storyteller — moves a room from "interesting demo" to "let's fund this"
•Sales Instinct — genuinely enthusiastic, commercially driven
