Description
About FutureSight
FutureSight is a venture studio that co-founds and builds B2B SaaS companies from 0 to 1 alongside values-driven entrepreneurial leaders. Our model brings together validated ideas, high-caliber founders, and embedded resources to accelerate the journey from concept to company.We’re launching a focused sprint in the accounting tech space to explore how AI-native workflows can transform accounting and bookkeeping for small businesses, finance teams, or fractional CFOs.
The Opportunity
Accounting is ripe for disruption by AI—with manual data entry, reconciliation, classification, forecasting, and reporting still dominating workflows in firms and finance departments. We are kicking off a 6-week opportunity sprint to validate a new AI-driven venture concept in this space.As an AI Launch Advisor, you'll be a key contributor to shaping the product vision, validating pain points with prospective users, and guiding the MVP direction. You’ll work closely with our team of product builders, AI architects, and user researchers.
Key Responsibilities
Market & User Validation
- Lead or support interviews with bookkeepers, accountants, fractional CFOs, and SMB operators
- Identify specific pain points in daily workflows—especially repetitive, rules-based, or judgment-light tasks that can be automated
- Determine where AI can create a 10x improvement (e.g., transaction classification, variance analysis, report generation)
AI Product Strategy
- Co-ideate with the team on potential solutions (e.g., accounting copilots, reconciliation engines, AI-powered reporting dashboards)
- Evaluate feasibility of LLMs, APIs (e.g., QuickBooks/Xero integrations), and RAG-based workflows for prototypes
- Help scope early experiments, mockups, or proof-of-concept tools
Go-to-Market Exploration
- Define buyer personas and value propositions for accounting firms, SMBs, or finance teams
- Collaborate on GTM tests such as demo waitlists, landing pages, and outreach experiments
- Shape the early pricing, sales, and onboarding strategy for the MVP
Sprint Summary & Recommendations
- Contribute to a sprint-end presentation summarizing findings, validated opportunities, and MVP recommendations
- Provide insights on venture viability and potential roadmap
- Support founder selection, if applicable
Requirements
- Experience in accounting, finance operations, or accounting-tech (as founder, operator, advisor, or investor)
- Familiar with the ecosystem of tools like QuickBooks, Xero, NetSuite, Ramp, and Expensify
- Exposure to AI product development, including how LLMs or automation can streamline structured workflows
- Strong user empathy with the ability to extract insights from operators and translate into product ideas
- Fast-moving, hands-on, and collaborative mindset
Success Metrics by End of Sprint
- 10–15 target user interviews and synthesis of unmet needs
- Validated MVP concept with market pull and feasibility insight
- Prototype experiments or demo scripts to gauge early interest
- Clear recommendation on go/no-go for venture launch
Benefits
Compensation
- ~20 hrs/wk for 6 weeks & $4,000
- 1 % advisor equity in any venture spun out (vests monthly over 24 months
