FutureSight

Information Technology and Services

Co-Founder&CEO

Remote Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“Co-Founder & CEO at FutureSight. Skills: Strategy refinement, Customer engagement, Product development, Fundraising. Set venture direction. Lead venture execution”

Industry & Context.

Information Technology and Services

What They're Looking For.

Must Have

Previous founding experience, Venture-backed company experience, B2B SaaS go-to-market success, Sales and customer engagement experience, Fundraising fluency, Develop investor narratives, Close capital, Attract top talent, Develop top talent, Retain top talent, Understand risks of co-founding, Understand demands of co-founding

Nice to Have

Operational exposure to merchandise planning, Inventory management exposure, Multi-channel retail operations exposure

What You'll Do.

Set venture direction

Lead venture execution

Refine product positioning

Convert to paid engagements

Build go-to-market motion

Iterate on user feedback

Recruit founding team

Establish cultural foundation

How You'll Work.

Team & Collaboration

Studio as partner; FutureSight product team; FutureSight engineering team

Communication Scope

Investor narratives

Full Job Description

### The Opportunity FutureSight is seeking a Co-Founder & CEO to lead [Maestro](https://maestro-ai.replit.app/), an AI-native inventory-planning intelligence venture currently in development at our studio. This is a co-founder partnership with meaningful founder equity, not a salaried executive role. [Maestro](https://maestro-ai.replit.app/) is an autopilot planning intelligence for SMB operators managing physical inventory complexity without a planning team. It connects across channels and ERPs, handles routine decisions silently, and surfaces exceptions with context and a recommended action before they become revenue losses. The institutional memory that today lives only in a planner's head gets externalized, structured, and queried in plain language. We didn't just build a thesis; we validated it directly with the market. We have spoken with founders, VP E-Commerce leaders, merchandise planners, and multi-channel operators at DTC and specialty retail brands across the US. The market signal is clear: * Autopilot is the vision: Every named competitor generates recommendations that humans still have to act on manually. No product at this revenue tier is building toward full autonomous execution of the planning lifecycle. [Maestro](https://maestro-ai.replit.app/)'s product vision is full autopilot: the system owns the buy decision, allocation, and markdown trigger end-to-end. But buyers earn that trust incrementally, starting with routine decisions handled silently and exceptions surfaced with context. * The pain is in the dollars, not the dashboards: Documented annual losses across just five buyer accounts total $1.25–1.5M+. Buyers currently spend $0–500/month on software; the entire planning budget is tied up in headcount. The payback case is immediate, and ROI demonstration, not feature demos, will be the critical sales motion. * Institutional memory failure is systemic and unresolved: One SVP with 30 years of domain expertise described relying entirely on persona

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