Private equity teams waste days cleaning and indexing chaotic VDRs before analysis even begins. FutureSight is building an AI Data Organization Assistant for buy-side investors to automate file organization, deduplication, normalization, and checklist scaffolding.
Requirements
- Exposure to AI agents/LLMs
Responsibilities
- Work with FutureSight’s product/engineering pod to launch V1 by January 2026
Other
- Founder-level drive — You’re motivated to co-found a new venture as the CEO. With or without us, this is your calling.
- Startup scrappiness — You know what you’re signing up for. You’re familiar with the scrappiness of owning something from start to finish
- Previous founding experience — You have co-founded a product company or B2B SaaS venture or have been at a venture-backed company
- Risk appetite and capacity — Read more on our post on the Entrepreneurial Risk Profile
- GTM chops — Proven success in B2B SaaS sales, marketing, and customer engagement
- Fundraising fluency — Able to craft investor narratives and close capital; well-networked in fintech and early-stage communities
- People leadership — Magnet for top talent; coach and culture carrier
- Industry experience — Background in due diligence, private equity, or software that serves these industries
