Here’s a little taste of your challenge:

Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.

AI process redesign & delivery:

Today at Webfleet, we are reaching the next stage of our AI journey. We're looking for an exceptional AI Process & Delivery Architect who will lead the transformation of how AI is adopted, delivered, and embedded across our organization.

This is a strategic role for someone who can turn AI vision into business reality, especially within the three layers:

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- Operational friction reduction.

- Employee cognitive load reduction.

- Transformational customer AI.

AI process redesign & delivery:

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- Analyse and redesign operational processes across CS to embed AI at the right intervention points,

- Deliver semi-automation, full automation, and AI agent implementations end-to-end,

- Map process flows, identify friction, and define AI opportunity models with measurable outcomes,

- Own handoff between architecture blueprints and working production deployments.

Agentforce & conversational AI delivery:

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- Configure and tune Agentforce agents for service, field service, sales, and self-service journeys,

- Implement prompt designs, intents, fallback handling, and grounding strategies,

- Analyse conversation logs and interaction data to continuously improve agent quality,

- Partner with the AI Solution Architect to translate architecture into functional, tested deployments.

Customer-facing AI journeys:

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- Design and deliver automated touchpoints across service, admin,



and field service channels,

- Build and optimise AI-enabled self-service and self-buying experiences,

- Ensure customer journeys are coherent, on-brand, and measurably effective,

- Collaborate with Marketing and Sales Enablement on AI-powered engagement models.

Employee AI enablement:

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- Identify where cognitive load is highest for CS, field service, and admin teams,

- Deploy AI-assisted tooling - smart suggestions, case summarisation, next-best-action - within Salesforce,

- Drive adoption through change management, training, and iterative improvement cycles,

- Measure and report on time saved, error reduction, and employee experience impact.

CRM & platform delivery:

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- Own functional delivery within Salesforce Service, Sales, Field Service, and Experience Cloud,

- Configure Flows, process automation, and Salesforce AI features to support business requirements,

- Maintain and improve the CRM capability model as AI features and product capabilities evolve,

- Document solution designs, process maps, and implementation decisions.

Cross-functional stakeholder delivery:

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- Act as the primary delivery liaison between Customer Success, IT, Engineering, Sales Enablement, and Marketing,





- Facilitate workshops, requirements sessions, and UAT with business teams,

- Translate business needs into scoped, deliverable AI and process solutions,

- Escalate architecture decisions to the AI Solution Architect; own delivery execution.

Who are you:

Essential skills:

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- 5+ years in business/solution architecture, process design, or CRM delivery,

- Hands-on Salesforce delivery experience - Service Cloud, Sales Cloud, Flows,

- Practical experience delivering AI, automation, or conversational AI solutions,

- Strong process mapping skills (BPMN, value stream mapping, Lucidchart or equivalent),

- Ability to engage and manage complex stakeholder environments,

- Experience translating requirements into working, tested system configurations.

Strong differentiators:

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- Agentforce, Einstein, or conversational AI configuration experience,

- Field Service Lightning or Experience Cloud delivery,

- Familiarity with RAG, prompt engineering, or LLM-grounding patterns,

- LEAN, Six Sigma, or continuous improvement methodology,

- Change management and AI adoption experience,

- Salesforce certifications - Service Cloud Consultant, Admin, or AI Associate.

How success is measured:

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- Friction reduced - Manual steps and handoffs eliminated per quarter.

- Handle time - Average handle and resolution time trends down.

- Self-service rate - Customer self-service and deflection rate increases.

- Employee experience - Agent satisfaction and AI adoption scores i

📌 AI Process (Barcelona)
🏢 Webfleet
📍 Barcelona