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 now entering the launch sprint for a new AI-native Wealth Tech venture. This opportunity is built on a validated problem space: helping financial advisors, RIAs, and wealth managers deliver proactive, personalized advice at scale. The solution focuses on intelligent co-pilots, client engagement automation, and high-net-worth workflow enhancements.
The Opportunity
We’ve completed the validation phase—including dozens of interviews with financial professionals, clear confirmation of problem-solution fit, and early commercial interest. We’re now preparing for launch.
As AI Launch Advisor, you’ll support the final leg of this 6-week sprint: shaping the MVP, pressure-testing GTM hypotheses, mapping technical feasibility, and sharpening our differentiation in a crowded market. Your work will inform product delivery decisions, partnership strategy, and founder requirements.
Key Responsibilities
Go-to-Market Readiness
Refine early adopter personas, key use cases, and beachhead segments
Shape initial sales motions and packaging (e.g., advisor-first, firm-led, or embedded)
Collaborate on marketing narrative, pitch materials, and waitlist or demo launch strategies
Assess regulatory or integration requirements (e.g., CRM, custodian, compliance stack)
Identify potential early partners or design partners for pilot rollout
Product & Technical Feasibility
Work with FutureSight’s AI and product team to finalize MVP scope and feature set
Review AI architecture and help evaluate options (e.g., LLM vs. RAG, co-pilot vs. dashboard)
Stress-test implementation risks across compliance, latency, and user experience
Support prompt engineering, vendor selection, or prototyping efforts where relevant
Competitive & Strategic Positioning
Benchmark against comparable tools or emerging competitors in the advisor tech stack
Identify defensible product hooks or data advantages
Recommend strategic angles for market entry and differentiation
Sprint Deliverables
Final MVP and GTM plan with supporting rationale
Market feedback or pre-sales signals (e.g., waitlist signups, demo interest)
Launch-readiness checklist (technical, commercial, operational)
Deep familiarity with wealth management workflows and advisor pain points
Experience launching early-stage B2B SaaS or AI-powered products (0–1 experience essential)
Strong understanding of generative AI applications, particularly in sales, compliance, or service
Ability to operate at the intersection of product, GTM, and technical feasibility
Comfortable synthesizing fast-moving inputs into crisp deliverables
Bonus: Experience with integrations (custodians, CRMs), financial planning tools, or compliance tech
Compensation
~20 hrs/wk for 6 weeks & $4,000 stipend
1 % advisor equity in the venture spun out (vests monthly over 24 months)
