Hybrid Success Architect, Data Cloud & AI (Agentforce)

Leadout Capital; Dublin; Hybrid; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Office-flexible schedule

Hybrid work model

Job summary

Salesforce is seeking an experienced Agentforce/Data Cloud Success Architect in Ireland. You will guide technical architecture, performance optimization, and solution design for strategic customers, collaborating with clients and partners to deliver initiatives that drive AI-enabled, data-driven outcomes.

You will engage with executive stakeholders, translate complex concepts into business value, and promote data ethics while operating in a hybrid office model requiring three days in the office.

Qualifications

• Experience implementing CDP/AI projects for enterprise customers.
• Strong data modelling, integration and governance knowledge.
• Excellent communication and cross-functional collaboration abilities.
• Ability to translate technical concepts into tangible business value and ROI.
• Hybrid/office-flexible work arrangement with client-facing duties.

Responsibilities

• Shape technical architecture and performance optimization for Agentforce/Data Cloud.
• Design effective solutions with customers, colleagues and partners.
• Mentor teams and run playbooks aligned to engagement catalog.
• Drive ROI by aligning technology strategy with business value.
• Promote data privacy and ethics in customer solutions.

Skills

CDP/AI projects

Data modelling

Data integration

Data governance

Stakeholder management

Technical direction

AI awareness

English fluency

Education

Degree or equivalent experience

Tools

Snowflake

Databricks

AWS

GCP

Azure

Job description

Salesforce is seeking an experienced Agentforce/Data Cloud Success Architect in Ireland. You will guide technical architecture, performance optimization, and solution design for strategic customers, collaborating with clients and partners to deliver initiatives that drive AI-enabled, data-driven outcomes.

You will engage with executive stakeholders, translate complex concepts into business value, and promote data ethics while operating in a hybrid office model requiring three days in the office.