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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own the production environment and maintain a robust Salesforce architecture, ensuring scalability across Sales, Service, and Experience Clouds.
- Lead the implementation and management of Salesforce Data Cloud, ensuring high-quality data ingestion, harmonization, and unification (Identity Resolution) to power downstream AI and analytics.
- Lead the strategy and deployment of Agentforce, building and managing autonomous agents that leverage Data Cloud insights to streamline business processes.
- Collaborate with Product and Stakeholders to ensure CRM and Data strategies align with technical capabilities and long-term roadmap goals.
- Accountable for the sprint lifecycle, ensuring best practices in Salesforce DevOps and strict adherence to data privacy and governance standards within the CRM.
- Ensure code integrity (Apex, LWC) and declarative configuration quality, proactively seeking platform optimizations to reduce technical debt and data silos.
- Take hands-on responsibility for the CRM engineering team’s performance and output.
- Set S.M.A.R.T goals, providing specific guidance on Salesforce career paths and emerging AI technologies and Data Cloud.
- Build and grow the team through recruitment and interviews, specifically looking for talent capable of navigating the shift toward agentic AI.
- Prioritize employee morale, fostering an environment of continuous learning and high engagement.
- Collaborate on strategic requirements, translating high-level business needs into operational Salesforce execution plans.
- Act as the CRM Subject Matter Expert, identifying potential platform bottlenecks and solving complex integration problems.
- Own sprint planning and resource allocation to ensure high-value features and Agentforce workflows are delivered on time.
- Represent the CRM domain in executive meetings, influencing decisions with data-driven insights.
- Embody company principles and promote an inclusive, supportive, and high-performance work environment.
- Stay at the forefront of the Salesforce release cycle, specifically regarding AI, Data Cloud, and Agentforce innovations.
- Enhance transparency between the technical team and non-technical business units.
Requirements
What you’ll need- A minimum of 7 years of software engineering experience, with at least 3 years focused on the Salesforce ecosystem and 2+ years in a supervisory role
- Proven experience or deep theoretical knowledge in deploying Salesforce Agentforce (or similar LLM-based agentic workflows).
- Degree in Computer Science, Software Development, or a related field.
- Strong ability to balance business urgency with technical sustainability.
Benefits
Comp & perks- 2 complimentary Getsmarter short courses per year
- Subsidised medical aid with Discovery Health Medical Scheme
- 4% 2U contribution towards Discovery Life Pension Fund and Group Risk Benefit
- Employee Assistance Program (EAP)
- Generous leave policy including time off to volunteer for non-profit organization, study leave, sports leave and a company-wide festive season break
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Salesforce DevelopmentData IngestionIdentity ResolutionAI TechnologiesSalesforce DevOpsTechnical Debt ReductionIntegration Problem SolvingSoftware EngineeringCRM Execution PlanningTeam Performance Management
Soft Skills
LeadershipCollaborationEmployee EngagementStrategic ThinkingCommunication