Deliver solutions across core and emerging Salesforce capabilities, including: Salesforce Media Cloud (industry-specific data models, media workflows, advertising lifecycle) Salesforce Agentforce (AI-powered agent experiences, automation, and augmentation)
Use AI-assisted tools (Claude Code, OpenAI Codex, Github Copilot, or equivalent) as a core part of delivery to: Accelerate and validate metadata configuration Support solution design and edge-case handling Generate documentation, test cases, and implementation artefacts Improve delivery speed and quality
Contribute to solution architecture discussions , working closely with Technical Architects
Design and maintain scalable data models , including industry-specific schemas (e.g. Media Cloud)
Design and support integrations with third-party systems (telephony, marketing tools, document generation, data platforms)
Own and contribute to testing strategy : UAT Regression testing Release readiness
Work within structured delivery environments: Agile sprint planning Estimation and backlog management Release and DevOps processes
Build reports, dashboards, and analytical solutions to support business decision-making
Support pre-sales activities , including demos and solution shaping
Mentor junior team members and set standards for quality and best practice
Requirements
5+ years Salesforce experience, ideally within a consultancy or multi-client delivery environment
Proven experience delivering end-to-end Salesforce implementations , not just incremental enhancements
Strong hands-on experience with: Salesforce Flow (essential) Data modelling and relational data structures Security and sharing models
Experience across: Sales Cloud and Service Cloud
Additional exposure to Experience Cloud, Marketing Cloud, or Industry Clouds is beneficial
Exposure to Media Cloud or other Industry Clouds is highly advantageous
Working knowledge or practical experience with Agentforce / AI-driven Salesforce capabilities is a strong plus
Data migration and ETL tools (Data Loader, Workbench, etc.)
Experience working in Agile delivery environments with DevOps practices (Jira, Git, CI/CD, SFDX)
Hands-on use of AI tools (Claude, ChatGPT, or similar) in Salesforce delivery is essential , including: AI-assisted metadata configuration Automation design and debugging Documentation and testing acceleration
Strong stakeholder management skills, with the ability to engage both technical and non-technical audiences
Tech Stack
Cloud
ETL
Benefits
Remote-first role based in South Africa — work from anywhere
Work on cutting-edge Salesforce capabilities , including: Media Cloud (complex, industry-specific implementations)
Agentforce (AI-driven transformation within Salesforce)
Be part of a consultancy that treats AI as a core delivery capability
Collaborate with experienced Architects and high-performing teams