Job Title: AI Operations & Growth Engineer
Job Type: Full Time
Job Set-Up: Remote
Work Hours: Pacific Standard Time (PST)
JOB DESCRIPTION
The AI Operations & Growth Engineer is responsible for building, managing, and optimizing AI-driven systems that support business operations, data analysis, CRM management, imaging, and prospecting activities. This role focuses on applying AI tools to improve efficiency, enhance decision-making, and drive scalable business growth.
RESPONSIBILITIES
AI Systems & Automation
- Design, implement, and maintain AI-powered workflows to support daily business operations.
- Automate repetitive and manual processes across CRM, data management, and prospecting.
- Identify operational inefficiencies and recommend AI-based improvements.
- Document AI systems, workflows, and processes.
Data Analysis & Business Intelligence
- Collect, clean, and analyze business data from multiple sources.
- Develop reports and dashboards to track business performance.
- Use AI tools to generate insights and forecasts.
CRM Management
- Manage and optimize CRM systems including pipelines and automations.
- Ensure CRM data accuracy and proper segmentation.
- Implement AI-assisted lead scoring and follow-ups.
Imaging & Visual Support
- Generate, edit, or enhance images using AI tools.
- Support marketing and internal presentations with visuals.
Prospecting & Lead Generation
- Research, qualify, and enrich prospect lists using AI tools.
- Build and manage AI-assisted outbound workflows.
QUALIFICATIONS
- Practical experience using AI tools for business operations or growth.
- Strong data analysis and CRM management experience.
- Familiarity with AI imaging or content-generation tools.
- Experience supporting prospecting or lead generation activities.
- Strong analytical, organizational, and problem-solving skills.
- Must be able to speak, read, and write in English (business-level proficiency required).
KEY PERFORMANCE INDICATORS (KPIS)
- Reduction in manual tasks through AI automation.
- Accuracy and usefulness of reports and dashboards.
- CRM data quality and workflow efficiency.
- Lead quality and conversion performance.
