Strategy
Find the constraint
Turn messy funnel, CRM, and sales context into a clear build priority.
- Revenue diagnosis
- KPI thinking
- Sprint plan
Careers = builders who can ship
We are interested in people who can turn strategy, agents, automation, dashboards, and custom workflows into measurable operating movement. The best notes show judgment before credentials, with proof that a real team used the work.
How we work
Conversion System needs people who can help buyers move from plan facts to a shipped AI system.
Strategy
Turn messy funnel, CRM, and sales context into a clear build priority.
Build
Create workflows, agents, automations, dashboards, and conversion surfaces that can be used by real teams.
Proof
Keep attribution caveats visible and show what changed, what did not, and what should happen next.
Current status
If your work maps directly to AI systems, send context. A short proof packet is more useful than a generic resume.
Send
Show a system, dashboard, workflow, campaign, or revenue process you owned.
Avoid
Show shipped work, clear ownership, and whether the work moved a real operating number.
Mindset
The best collaborators are calm, direct, evidence-oriented, and comfortable inside messy business systems.
Direct answers
The short version: there are no open roles today, but useful future-fit notes show shipped work, ownership, and judgment inside real business systems. We read proof packets for the operating context, not just the tool list.
Answer
There are no open positions right now. Strong builders can still send a short proof packet so there is useful context when a role opens.
Answer
Show shipped systems, dashboards, CRM logic, agent workflows, automation, conversion surfaces, or operating processes where your ownership and the business context are clear.
Answer
Email hello@conversionsystem.com with a concise note, links to shipped work, what you owned, what changed, and the kind of AI system work you want to do next.
Answer
A poor fit is slide-only strategy, vague AI tool claims, or work that cannot be explained through ownership, context, shipped output, and operating evidence.
Future roles
For future-fit notes, show the system you shipped, the context around it, your ownership, and what changed. If there is a match later, that proof is the useful starting point for an AI System Build conversation.
Plan my AI system