FutureSight
Information Technology and Services
Co-Founder&CEO-AIReverseLogisticsOrchestrationPlatform
Neural analysis suggests this role is
optimal for Executive candidates.
“Co-Founder & CEO - AI Reverse Logistics Orchestration Platform at FutureSight. Skills: Strategy, Customer Development, Product, Capital, Team Building. Set direction of venture. Lead venture execution”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Previous founding experience, Venture-backed company experience, B2B SaaS go-to-market success, Sales and customer engagement, 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, Exposure to operations-heavy commerce, Exposure to supply chain, Exposure to logistics environments, Hands-on experience in returns, Hands-on experience in warranty, Hands-on experience in fulfillment, Hands-on experience in post-sale workflows
Nice to Have
Familiarity with AI agents, Familiarity with LLMs
What You'll Do.
Set direction of venture
Lead venture execution
Refine product positioning
Convert pilots to paid
Build go-to-market motion
Partner with product team
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 a new [AI-native reverse logistics orchestration](https://futuresight-b2b-reverse-logistics.replit.app) venture currently in build at our studio. This is a co-founder partnership with meaningful founder equity, not a salaried executive role. Reverse logistics — everything that happens after a sale — has become one of the largest and least controlled cost centers in modern commerce. Returns, warranties, exchanges, and recoveries are unavoidable, high-volume workflows, yet they remain managed through fragmented tools, spreadsheets, and manual judgment. We are building an AI-first orchestration layer that sits between customers, fulfillment networks, and finance systems. The platform enforces policy at intake, captures evidence at the source, determines the optimal path for each return — recovery, resale, exchange, credit, refurbishment, or return to inventory — and tracks outcomes through to financial closure. Rather than replacing existing ERPs, WMSs, or commerce platforms, the platform is designed to operate as the orchestration layer across them, enabling organizations to actively control cost, risk, and recovered value after the sale. We are now seeking the founder to lead the venture from here. ### Market Context * Global reverse logistics activity is estimated at $700B–$900B annually, with projections exceeding $1T by 2030 * US consumers returned roughly $743B of merchandise in 2023, accounting for 14–18% of total retail sales * In e-commerce-heavy categories, return rates routinely exceed 25–40%, versus approximately 9–10% for in-store purchases * Processing a single return typically costs 20–65% of the item's value, and for many operators, returns consume 20%+ of order value while tying up working capital for 30–90 days before financial closure * Rising return volumes, traceability expectations, and sustainability pressure are converging to make this a systems problem, not a policy one ### A
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