Im building Interview Strategist an AI-powered career strategy platform built around the Interview Strategist Method:
Understand how hiring decisions are made. Stop being evaluated. Start influencing.
The product concept positioning and go-to-market strategy are defined. Im now looking for a Founding Engineer / Full-Stack Builder to take Interview Strategist from concept to a live sellable SaaS platform.
Tasks
Important upfront clarity
- This is not a salaried role
- This is not a funded company (yet)
- This is a build-for-upside opportunity with EBITDA participation and exit upside
If you enjoy building real products with real usersand sharing the upsidethis
may be for you.
What youll build
Interview Strategist is a web-based SaaS platform integrating LLM / ChatGPT-type models into structured decision-driven user journeys.
You will be responsible for designing and building:
- A modern full-stack web application
- Structured AI workflows (not just chat)
- A clean scalable and well-documented architecture
- A system that can be maintained or extended by others if needed
Requirements
Core technical scope
- Frontend: React / (or equivalent modern framework)
- Backend: or Python (FastAPI welcome)
- Integration of OpenAI / LLM APIs into production workflows
- User authentication core flows dashboards
- Cloud deployment (AWS / GCP / Vercel or similar)
- Version control documentation and basic DevOps hygiene
You dont need to be an AI researcherbut you should be comfortable turning
LLMs into real product logic not just demos.
This role is well suited if you:
- Have already built and shipped web products
- Are comfortable owning a system end-to-end
- Understand (or are eager to master):
- API-driven architectures
- Prompt-based workflows
- Cost / performance trade-offs with LLMs
- Enjoy autonomy speed and responsibility
Time commitment (realistic & transparent)
- MVP build: 200300 hours
- Sellable v1: 350500 hours total
- Target timeline: max 6 months
- Milestone-based delivery (short cycles not waterfall)
Benefits
What you get in return
- Participation in annual EBITDA (calculated on full-year results)
- Participation in a future exit (if the platform is sold)
- Full technical ownership of the build
If this resonates send me:
- A short intro
- What youve built before (GitHub projects products)
- Your availability and motivation
This is for someone who wants to build something real learn fast and share the
upside.
Im building Interview Strategist an AI-powered career strategy platform built around the Interview Strategist Method:Understand how hiring decisions are made. Stop being evaluated. Start influencing.The product concept positioning and go-to-market strategy are defined. Im now looking for a Founding ...
Im building Interview Strategist an AI-powered career strategy platform built around the Interview Strategist Method:
Understand how hiring decisions are made. Stop being evaluated. Start influencing.
The product concept positioning and go-to-market strategy are defined. Im now looking for a Founding Engineer / Full-Stack Builder to take Interview Strategist from concept to a live sellable SaaS platform.
Tasks
Important upfront clarity
- This is not a salaried role
- This is not a funded company (yet)
- This is a build-for-upside opportunity with EBITDA participation and exit upside
If you enjoy building real products with real usersand sharing the upsidethis
may be for you.
What youll build
Interview Strategist is a web-based SaaS platform integrating LLM / ChatGPT-type models into structured decision-driven user journeys.
You will be responsible for designing and building:
- A modern full-stack web application
- Structured AI workflows (not just chat)
- A clean scalable and well-documented architecture
- A system that can be maintained or extended by others if needed
Requirements
Core technical scope
- Frontend: React / (or equivalent modern framework)
- Backend: or Python (FastAPI welcome)
- Integration of OpenAI / LLM APIs into production workflows
- User authentication core flows dashboards
- Cloud deployment (AWS / GCP / Vercel or similar)
- Version control documentation and basic DevOps hygiene
You dont need to be an AI researcherbut you should be comfortable turning
LLMs into real product logic not just demos.
This role is well suited if you:
- Have already built and shipped web products
- Are comfortable owning a system end-to-end
- Understand (or are eager to master):
- API-driven architectures
- Prompt-based workflows
- Cost / performance trade-offs with LLMs
- Enjoy autonomy speed and responsibility
Time commitment (realistic & transparent)
- MVP build: 200300 hours
- Sellable v1: 350500 hours total
- Target timeline: max 6 months
- Milestone-based delivery (short cycles not waterfall)
Benefits
What you get in return
- Participation in annual EBITDA (calculated on full-year results)
- Participation in a future exit (if the platform is sold)
- Full technical ownership of the build
If this resonates send me:
- A short intro
- What youve built before (GitHub projects products)
- Your availability and motivation
This is for someone who wants to build something real learn fast and share the
upside.
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