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Field CTO, Data and AI

Job in City Of London, Central London, Greater London, England, UK
Listing for: Salesforce
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 180000 GBP Yearly GBP 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Sales Job  Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're 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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Distinguished Technical Architect, Data & AI is a senior technical leadership role within Salesforce's EMEA Go-to-Market organization.

The Agentforce & Data
360 Specialist team includes an elite group of Technical Architects operating at the intersection of Data, AI, and enterprise transformation. We are purpose-built to accelerate Agentforce and Data
360 sales and value realization across EMEA's most strategic enterprise customers. This isn't a generalist architect role — it's a field-facing, C-suite-adjacent function where the best architects in the industry come to work on the hardest problems at the highest stakes.

This team sits at the centre of Salesforce's GTM strategy in EMEA, connecting the dots between Data & AI Products, Product Marketing, Enablement, Customer Success, and the Partner Ecosystem — and operating across the full customer lifecycle to ensure customers don't just buy Agentforce and Data
360, but genuinely succeed with them.

Your Impact As Distinguished Technical Architect, Data & AI, you are Salesforce's most senior technical voice on Data and AI in EMEA — a Field Chief Data and AI Officer in practice, even when the room doesn't know your title. Your impact spans three primary dimensions:
1. Thought Leadership & Industry Presence Be a compelling, credible voice for Data and AI at Salesforce events, industry conferences, analyst briefings, and customer round tables across EMEA.Present on stage and command a room — with the depth to hold a conversation with a Chief Scientist and the clarity to move a CEO to action.

Publish technical thought leadership (blogs, whitepapers, reference architectures) that shape how the market thinks about enterprise AI and data strategy.

Represent Salesforce's architectural point of view in the external ecosystem — with partners, analysts, press, and the broader technical community.

Build and maintain a personal brand as a trusted authority on the intersection of Data, AI, and enterprise architecture.
2. Strategic Architecture in Complex Deal Cycles Operate as a senior technical authority in Salesforce's most strategic and complex EMEA deal cycles — not as an executive presence at meetings, but as a material influence on buying decisions, architectural direction, and adoption outcomes.

Engage at CDAO, CTO, and CIO level to shape enterprise data and AI strategy — connecting Salesforce's platform to the customer's most important business outcomes.

Lead architectural deep-dives, whiteboard sessions, and design sprints that give customers the confidence to make bold decisions on Agentforce and Data
360.Collaborate with AEs and SEs to build hands-on prototypes and proof-of-value demonstrations — targeting delivery in under two weeks — that make the architecture real and accelerate buying decisions.

Own technical architecture decisions at customer engagements: data modelling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); advise customers on how these systems collaborate within their enterprise architecture.

Navigate ambiguous, high-stakes technical conversations with authority — knowing when to prescribe, when to co-design, and when to challenge.

Support early adoption engagements…
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