Offer summary

Qualifications:

Experience in accounting, finance operations, or accounting-tech as a founder, operator, advisor, or investor., Familiarity with tools like QuickBooks, Xero, NetSuite, Ramp, and Expensify., Exposure to AI product development and understanding of how LLMs or automation can enhance workflows., Strong user empathy and ability to translate insights into product ideas..

Key responsibilities:

Lead or support interviews with bookkeepers, accountants, and SMB operators to validate market needs.

Identify pain points in workflows that can be automated using AI.

Co-ideate potential AI-driven solutions and evaluate their feasibility.

Contribute to a sprint-end presentation summarizing findings and recommendations for the MVP.

Job 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