Field CTO

Who you are

• 15+ years of progressive experience in enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains
• Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform
• Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical advisor — influencing architecture decisions, not just presenting in them
• Track record of presenting at major industry events, publishing technical thought leadership, or building a recognized personal brand in the Data and AI ecosystem
• Proven ability to design and deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale
• Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns
• Experience with prompt engineering, agent lifecycle management, and hands-on prototype development
• Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks
• Understanding of agent interoperability standards (MCP, A2A) and the broader external agent ecosystem
• Experience operating in complex, matrixed enterprise environments across multiple EMEA markets
• Exceptional communicator and storyteller — able to translate architectural complexity into board-level narratives and back again
• Fluent English required; additional EMEA language skills are a strong plus
• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
• Data Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift
• AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like Databricks, Snowflake, SageMaker, or Vertex. Agent lifecycle management, observability, and governance frameworks
• Agentforce & Salesforce Platform Deep architectural understanding of how Data and AI are activated within Salesforce — including Agentforce, Data360, Sales Cloud, Service Cloud, and Industry Clouds. Hands-on experience with Agentforce Studio and Agent Builder to configure conversational and background agents; integration with external channels including voice via hyperscaler APIs. Proficiency in prompt design, testing, monitoring, and iteration; familiarity with agent lifecycle best practices from development through refinement. Understanding of how external agents (Copilot, Gemini, etc.) integrate with Agentforce via open standards (MCP, A2A)
• Analytics & BI Working knowledge of Tableau, PowerBI, or Looker and how they connect to enterprise data strategy
• Integration Patterns MuleSoft APIs, hyperscaler SDKs, cross-platform integrations, and enterprise governance and compliance frameworks

What the job involves

• 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 Data360, but genuinely succeed with them
• 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
• Be a compelling, credible voice for Data and AI at Salesforce events, industry conferences, analyst briefings, and customer roundtables 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
• 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 Data360
• 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 post-sale by tuning agents and guiding customers toward self-sufficient enablement
• Serve as a long-term trusted advisor to strategic customers — building relationships that outlast any single deal cycle
• Package and codify architectural patterns, reference designs, proof-of-concept frameworks, and technical playbooks that other Technical Architects across EMEA can deploy directly in their deal cycles
• Be an internal multiplier — elevating the architectural quality of the broader team through coaching, IP contribution, and program leadership
• Develop scalable enablement assets — including demo environments, architectural workshop templates, and POV accelerators — that compress time-to-value for the field
• Partner with Product and Engineering to translate field-driven architectural insights into roadmap input and product improvements
• Contribute to the global Architect community, sharing reusable IP and best practices that raise the bar across the function

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year