Salesforce Engineering Lead

This is a fully remote position, open to applicants in South Africa.

📋 Description

• Oversee the production environment while ensuring a resilient Salesforce architecture that supports scalability across Sales, Service, and Experience Clouds.

• Spearhead the implementation and management of Salesforce Data Cloud, guaranteeing high-quality data ingestion, harmonization, and unification (Identity Resolution) to enhance downstream AI and analytics.

• Direct the strategy and deployment of Agentforce, creating and managing autonomous agents that utilize Data Cloud insights to optimize business processes.

• Work collaboratively with Product and Stakeholders to ensure that CRM and Data strategies are in sync with technical capabilities and long-term roadmap objectives.

• Hold accountability for the sprint lifecycle, upholding best practices in Salesforce DevOps and strictly adhering to data privacy and governance standards within the CRM.

• Ensure the integrity of code (Apex, LWC) and the quality of declarative configurations, actively seeking platform optimizations to minimize technical debt and data silos.

• Assume hands-on responsibility for the performance and output of the CRM engineering team.

• Establish S.M.A.R.T goals, providing detailed guidance on Salesforce career paths and emerging AI technologies and Data Cloud.

• Recruit and interview to build and expand the team, specifically targeting talent capable of adapting to the transition towards agentic AI.

• Focus on employee morale, creating a culture of continuous learning and high engagement.

• Collaborate on strategic requirements, converting high-level business needs into actionable Salesforce execution plans.

• Serve as the CRM Subject Matter Expert, identifying potential platform bottlenecks and resolving complex integration challenges.

• Manage sprint planning and resource allocation to ensure timely delivery of high-value features and Agentforce workflows.

• Represent the CRM domain in executive meetings, leveraging data-driven insights to influence decision-making.

• Embody the company's principles while fostering an inclusive, supportive, and high-performance work culture.

• Stay updated on the Salesforce release cycle, particularly regarding innovations in AI, Data Cloud, and Agentforce.

• Improve transparency between the technical team and non-technical business units.

⛳️ Requirements

• At least 7 years of software engineering experience, including a minimum of 3 years in the Salesforce ecosystem and over 2 years in a supervisory capacity.

• Demonstrated experience or in-depth theoretical knowledge in deploying Salesforce Agentforce (or similar LLM-based agentic workflows).

• A degree in Computer Science, Software Development, or a related discipline.

• Strong capability to balance business urgency with technical sustainability.

🏝️ Benefits

• Two complimentary Getsmarter short courses each year.

• Subsidized medical aid through the Discovery Health Medical Scheme.

• 4% contribution from 2U towards the Discovery Life Pension Fund and Group Risk Benefit.

• Access to the Employee Assistance Program (EAP).

• A generous leave policy that includes time off for volunteering at non-profit organizations, study leave, sports leave, and a company-wide festive season break.