AI & Automation Manager - 21327

somewhere; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Remote AI & Automation Manager sought to identify, design, implement, and continuously improve AI-enabled workflows across a diversified portfolio. The role blends technical execution with strong business judgment and cross-company collaboration.

The candidate will map processes, prioritize high-impact opportunities, and deploy integrations while enabling AI adoption across multiple industries and business models.

Qualifications

• Excellent English communication skills and business judgment.
• Ability to map workflows and identify AI/automation opportunities.
• Experience coordinating cross-functional teams across departments.

Responsibilities

• Identify high-impact AI and automation opportunities across multiple businesses.
• Analyze and redesign workflows before implementing technology.
• Build and deploy integrations between business systems (CRM, data movement, reporting).
• Identify suitable generative AI use cases and other AI technologies.
• Develop business cases with expected value (hours saved, cost reduction, revenue impact).
• Drive adoption and training of new AI-enabled processes.
• Monitor performance and continuously improve implemented solutions.

Skills

English communication

Business acumen

Operational acumen

Cross-functional communication

Project management

Execution mindset

Job description

AI & Automation Manager

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

About the Company

Our client is a U.S.-based serial entrepreneur operating a diverse portfolio of companies spanning home care, payment processing, roofing, ATM services, reputation management, real estate, and media.

The portfolio includes a home care organization with more than 100 employees, a payment processing company, a roofing operation, an ATM company, a reputation management business, Florida real estate holdings including co-living properties, and an upcoming real estate syndication podcast.

The founder is highly interested in AI and believes businesses that effectively integrate artificial intelligence into everyday operations will achieve meaningful productivity and competitive advantages.

Rather than treating AI as an isolated technology initiative, the objective is to integrate AI and automation directly into the operating workflows of the businesses.

The Opportunity

We are seeking a commercially mindedAI & Automation Managerwho can identify, design, implement, and continuously improve AI-enabled workflows across the founder's portfolio.

Initially, one individual will support all companies.

This isnot purely a developer roleand is not simply about building isolated automations when requested.

The successful candidate must combine technical capability with strong business judgment.

They need to understand how work is currently performed, identify inefficiencies, redesign workflows, select appropriate technology, implement the solution, and measure whether the change actually improves the business.

The founder wants someone who can look at a business process and ask:

“Why are humans still doing this manually, and how could AI or automation make this dramatically faster or better?”

Key Responsibilities

AI Strategy & Opportunity Identification

Evaluate workflows throughout the portfolio and identify high-impact opportunities for AI and automation.

Review processes involving:

• Sales
• Customer service
• Operations
• Finance
• Administration
• Marketing
• Reporting
• Lead management
• Internal communication
• Data processing
• Executive operations

Prioritize initiatives according to business impact, implementation complexity, cost savings, time savings, and scalability.

Workflow Analysis & Redesign

Map existing processes before automating them.

Understand:

• Who performs each task
• What information is required
• Which systems are involved
• Where bottlenecks occur
• Which decisions require human judgment
• Which activities can be automated
• Where AI can augment employees rather than simply replace manual steps

Redesign workflows before implementing technology so inefficient processes are not merely automated in their existing form.

Automation Implementation

Build and deploy integrations between business systems.

This may include:

• Automated data movement
• CRM workflows
• Lead routing
• Automated reporting
• Notifications and alerts
• AI-generated summaries
• Task creation
• Communication workflows
• Document processing
• Customer follow-up sequences
• Executive reporting
• Operational dashboards

AI Implementation

Identify appropriate use cases for generative AI and other AI technologies.

Potential use cases could include:

• Communication summarization
• Customer support assistance
• Lead qualification
• Internal knowledge retrieval
• Document analysis
• Automated reporting
• Research
• Sales support
• Marketing workflows
• Executive briefings
• Process documentation
• Decision-support tools

Cross-Company Technology Integration

Because this role supports multiple businesses, the AI & Automation Manager will need to understand different operating environments quickly.

A workflow that makes sense for a 100+ employee home care company may differ substantially from one required by a payment processor, roofing company, real estate operation, or reputation management business.

The successful candidate must be able to adapt solutions to different business models rather than applying the same technology indiscriminately.

Business Case Development

Before implementing major automation projects, determine the expected value.

Consider:

• Hours saved
• Labor cost reduction
• Revenue impact
• Error reduction
• Customer experience improvement
• Faster turnaround
• Better management visibility
• Scalability

The founder wants someone with enough business acumen to understandwhyan automation matters—not merely whether it can technically be built.

AI Adoption & Enablement

Help employees and company leaders adopt new AI-enabled processes.

Document workflows, create appropriate training resources, and ensure new tools are actually used.

Monitor adoption and refine systems based on real-world feedback.

Continuous Improvement

Regularly review implemented systems to determine whether they are delivering the intended results.

Identify new technologies and AI capabilities that could provide meaningful business value.

The expectation is continuous experimentation and improvement rather than one-time implementation.

Ideal Candidate

The ideal candidate sits at the intersection of:

AI + Automation + Operations + Business Strategy.

A technically excellent candidate who cannot understand business processes will not be sufficient.

Likewise, a business operator who understands AI conceptually but cannot implement practical solutions will not be sufficient.

We need someone capable of understanding a business problem, designing the solution, and getting that solution operational.

Qualifications

• Demonstrated experience implementing AI and automation within real businesses
• Strong knowledge of modern generative AI tools and platforms
• Experience integrating business applications and workflows
• Strong process-mapping and workflow-design capability
• Understanding of APIs, integrations, and automation architecture
• Ability to evaluate emerging AI technologies
• Strong business and operational acumen
• Experience working across multiple departments or business functions
• Excellent English communication
• Ability to communicate technical concepts to non-technical stakeholders
• Strong project management and implementation skills

Key Competencies

Business-first thinking:Technology exists to improve the business—not the other way around.

Automation mindset:You instinctively recognize repetitive processes that should not remain manual.

Technical curiosity:You continuously explore new AI capabilities and tools.

Execution:You can take an idea from concept through implementation.

Resourcefulness:You can solve unfamiliar technical and operational challenges.

Cross-functional communication:You can work with executives, operators, and employees.

ROI orientation:You understand the financial and operational impact of what you build.

Ownership:You are responsible for whether solutions actually work—not simply whether they were technically deployed.

What Success Looks Like

The AI & Automation Manager will progressively create measurable improvements throughout the portfolio.

Success may include:

• Significant reductions in manual administrative work
• Faster internal workflows
• Improved customer response times
• Automated reporting
• Better executive visibility
• Improved lead management
• Reduced repetitive employee tasks
• More effective use of company data
• Increased productivity without proportional headcount growth
• Consistent AI adoption across the portfolio

Ultimately, this individual should become the portfolio's internal expert onhow AI can materially improve the way each business operates.