What We're Looking For
We are hiring multiple AI Workflow Interns to design, develop, and refine intelligent automation workflows that make the CompanyOS truly intelligent. You'll work with multiple LLM platforms and tools to build automations triggered by text, voice, scheduled events and webhooks that pull context from our operating system and deliver smart outputs.
You'll be working from provided architecture specifications and sometimes architecting workflows from scratch. Your work will directly shape our product during beta release and help customize solutions for our beta clients.
This is a hands-on learning opportunity working directly with founders to build real automation systems that solve real business problems.
Core Responsibilities
Design and optimize AI prompts across multiple LLM platforms to generate intelligent, context-aware outputs from CompanyOS data
Build automation workflows using scheduled triggers, webhooks, and integration platforms (Make.com, Zapier, n8n, etc.)
Follow structured test plans to evaluate prompt and workflow performance, documenting what works and what doesn't
Iterate systematically on prompts and workflows until target outcomes are achieved
Customize AI automations for beta clients, adapting systems to their specific business contexts
Create comprehensive documentation for each automation including architecture, prompts, test results, and version history
Translate business use cases into technical automation requirements that deliver measurable value
Research emerging LLM capabilities and propose innovative automation opportunities
Example Projects You Might Work On
Trend Spotting Automation – Build deep-scan workflows that identify emerging trends relevant to a business, score them for fit, and populate a review database with AI-generated summaries and recommendations
Executive Intelligence Briefings – Design prompts that synthesize data across tasks, metrics, and meeting notes to generate weekly executive summaries
Client Onboarding Workflows – Create automation chains that customize CompanyOS setup based on client responses and business context
Performance Alerts – Build intelligent monitoring that detects patterns in business metrics and generates contextual recommendations
Ideal Candidate
Passionate about AI and excited to experiment with prompt engineering across multiple LLM platforms
Strong understanding of how to communicate effectively with AI (basic to advanced prompt engineering)
Business-minded: you understand why a workflow matters, not just how to build it
Detail-oriented with a systematic approach to testing and documentation
Curious and driven to achieve better results through continuous iteration
Comfortable with Notion (or eager to learn quickly)
Familiarity with automation platforms (Make.com, Zapier, n8n) is a plus
Experience with APIs, webhooks, and JSON is helpful but not required
Self-directed: you can take an objective and figure out the path forward with minimal hand-holding
This role is perfect for someone who wants to be at the intersection of AI and business operations. If you love experimenting with prompts, debugging workflows, and seeing your work directly impact how businesses operate—this is for you.
Internship Details
Commitment: Part-time, project-based (10-15 hrs/week flexible)
Duration: 3-6 months with potential to extend or convert to ongoing role
Work Style: Remote with weekly check-ins directly with a founder
Compensation: Stipend-based or course credit (depending on your situation)
Learning Opportunity: Direct mentorship from founders with 20+ years scaling businesses; real-world AI product development experience
How to Apply
Please respond with:
A short note on why you're excited about this role and what you hope to learn
Examples of any AI/automation work you've done (prompt engineering, workflows, side projects, coursework)
A description of your experience with Notion, LLMs, or automation tools
Your availability (hours per week, start date, duration)
Include the code word "Intelligence" at the top of your proposal so we know you've read the full description
Why Work With Us
This isn't a typical internship where you're shadowing or doing busywork. You'll be building real automation systems that will be used by real clients. Your work will directly shape a product that's launching to market.
You'll gain practical experience with:
Advanced prompt engineering across multiple LLM platforms
Automation architecture and workflow design
Product development during beta release
Business context and use case translation
Direct founder mentorship and strategic thinking
If you're someone who's fascinated by AI's potential to transform how businesses operate, wants hands-on experience building intelligent systems, and thrives on seeing tangible results from your work—we'd love to meet you.
About Modern Operators
Modern Operators is a systems-first growth partner for founder-led companies doing $1M–$30M who want to scale with clarity, calm, and predictable momentum. Instead of relying on heroic founders, scattered tools, or reactionary decision-making, MO equips teams with a modern operating system…a unified layer of vision, planning, execution, automation, and AI that allows the business to run smoother, faster, and more intelligently.
Co-founded by Damon Flowers and Mark Malian, Modern Operators brings together decades of deep operating experience, brand strategy, and systems design to help companies move from reactive growth to a stable, scalable rhythm.
Damon Flowers has spent 20+ years building and scaling companies from early-stage to eight-figure outcomes. He is known for architecting operating systems, transforming chaotic teams into aligned execution machines, and mentoring founders and leaders through the transition from “doing everything” to building a company that grows beyond them. His work blends strategic clarity, operational structure, and the practical integration of AI into day-to-day workflows.
Mark Malian brings 7+ years of experience in growth strategy, brand positioning, and systems automation inside agencies and product companies. His expertise lies in turning complex processes into clean, scalable systems…especially in marketing, sales, and customer operations, so teams can produce consistent pipeline, shorten deal cycles, and unlock predictable growth.
Together, Damon and Mark built Modern Operators to guide founders through a new era of business…one where clear structure replaces chaos, AI amplifies human capability, and a modern CompanyOS becomes the foundation for long-term, scalable success.