AI & Automation Manager - 21327

Employment Type	Full-Time
Location	Remote (South Africa or Latin America)
Industry	Multi-Industry / Business Operations / AI & Automation
Reports To	Founder / Executive Leadership

Our client is a U.S.-based serial entrepreneur operating a diverse portfolio of companies spanning multiple service sectors, digital operations, real estate, and media.
The founder believes that businesses integrating artificial intelligence and automation directly into core, day-to-day operations will gain a significant competitive advantage. Rather than treating AI as an isolated technology initiative, the objective is to systematically embed AI and automation directly into the operational workflows across all portfolio businesses.

We are seeking a commercially minded AI & Automation Manager to identify, design, implement, and continuously refine AI-enabled workflows across the founder's portfolio. Initially, this individual will support all portfolio entities.
This is not purely a developer role, nor is it strictly about building isolated automations upon request. The successful candidate must combine technical implementation capability with strong business judgment—evaluating how work is currently performed, identifying friction, redesigning workflows, selecting appropriate tools, deploying systems, and measuring whether changes deliver tangible business value.

• Evaluate workflows across all portfolio companies to identify high-impact opportunities for AI and automation.
• Assess operational processes across sales, customer service, operations, finance, administration, marketing, lead management, and executive reporting.
• Prioritize initiatives based on projected business impact, implementation complexity, cost and time savings, and scalability.

• Map existing end-to-end processes prior to applying technology to avoid automating inefficient operations.
• Analyze process inputs, key personnel, software systems, bottlenecks, and manual touchpoints.
• Redesign workflows to optimize how AI augments human decision-making rather than merely replacing simple steps.

• Build and deploy robust integrations between diverse business applications and platforms.
• Implement automated data transfers, CRM workflows, lead routing, alerts, task creation, document processing, and operational dashboards.
• Develop automated reporting mechanisms to provide executive visibility across portfolio performance.

• Identify and execute practical use cases for generative AI and advanced AI technologies.
• Deploy AI-driven solutions for communication summarization, customer support assistance, lead qualification, internal knowledge retrieval, document analysis, and decision-support tools.

• Quickly adapt technologies and workflows to distinct business models (e.g., service businesses, real estate holdings, payment operations, and media ventures).
• Tailor solutions to fit varying operational complexities and team sizes rather than applying generic templates across all entities.

• Evaluate expected commercial value prior to launching major automation initiatives (e.g., hours saved, labor cost reduction, error minimization, revenue impact).
• Monitor post-implementation performance to ensure automations deliver measurable operational improvements.

• Create clear process documentation and training resources to drive employee adoption across teams.
• Monitor usage, gather feedback, and continuously refine active systems.
• Stay current on emerging AI tools and architecture to introduce ongoing operational enhancements.

• Demonstrated track record of designing and deploying AI and automation solutions within live business environments.
• Strong knowledge of modern generative AI platforms, API integrations, and workflow automation architecture.
• Proven process-mapping, workflow-redesign, and project management capabilities.
• Strong business and financial acumen with the ability to articulate the ROI of technology implementations.
• Excellent written and spoken English with strong cross-functional communication skills.

• Business-First Mindset: Prioritizes commercial value and process health over adopting technology for its own sake.
• Automation Instinct: Naturally identifies repetitive manual tasks and designs scalable technical solutions.
• Execution & Ownership: Drives initiatives from concept through implementation, user adoption, and ongoing optimization.
• Resourcefulness: Solves complex integration and technical challenges autonomously across disparate software stacks.

• Measurable reduction in manual administrative hours across portfolio companies.
• Faster internal response times, workflow cycle times, and lead processing.
• Reliable, automated executive reporting and operational visibility.
• High adoption rates of AI tools and automated workflows among portfolio employees.
• Scalable growth across business operations without proportional headcount increases.