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Lighthouse

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About

Lighthouse serves as a comprehensive Operating System for the venture capital firm Fin Capital, designed to unify the interests and workflows of investors, founders, and limited partners. Built by former operators with significant experience in both private and corporate sectors, the tool moves away from traditional, siloed investment management toward a hands-on, collaborative ecosystem. It acts as a central nervous system for the firm, ensuring that data and connections are accessible at scale across all stages of the investment lifecycle, from pre-seed to exit. For the internal investment team, the platform offers a suite of advanced tools for sourcing, assessment, and monitoring. By leveraging machine learning and artificial intelligence, Lighthouse identifies unique market signals that might otherwise be missed, providing a competitive edge in finding high-potential fintech startups. Once a target is identified, the system automates robust due diligence processes to ensure consistency and depth in every evaluation. Post-investment, it provides a structured framework for tracking portfolio company progress, allowing investors to remain proactive rather than reactive. Founders within the Fin Capital portfolio utilize Lighthouse as a gateway to growth resources. The platform allows them to tap directly into an extensive network to source both talent and customers, effectively accelerating their scaling process. Beyond networking, founders have access to a proprietary operating playbook that contains global resources and institutional knowledge gathered by the Fin team. This collaborative environment enables founders to make specific requests, exchange best practices with other companies in the portfolio, and schedule direct time with partners. Limited Partners (LPs) are granted a high degree of transparency through the platform’s Discover and Access modules. They can review their specific investment and portfolio data in real-time, reducing the friction often found in quarterly reporting. Furthermore, LPs can engage with the firm's proprietary market research and fintech market maps, allowing them to stay informed on broader industry trends. By creating a space where LPs can share insights and connect with the community, Lighthouse transforms the LP-GP relationship from a passive financial arrangement into an active, value-driven partnership.

Pros & Cons

Leverages machine learning to identify unique market signals for proactive deal sourcing.

Streamlines investor workflows by automating complex due diligence and assessment tasks.

Empowers founders with direct access to talent networks and established operating playbooks.

Provides Limited Partners with real-time access to portfolio data and market research.

Specifically designed for the fintech sector by experienced investment operators.

Platform access is restricted to members of the Fin Capital investment network.

Lack of public pricing details makes independent cost-benefit analysis difficult.

The fintech-specific focus may offer limited value to generalist investment firms.

Use Cases

Venture capital investment teams can use AI-driven sourcing to discover emerging fintech startups before they appear in common databases.

Fintech founders can leverage the platform's network to find key hires and new customers while accessing specialized operational playbooks.

Limited Partners (LPs) can monitor their specific investment performance and review proprietary market research through a dedicated dashboard.

Platform
Web
Task
investment management

Features

portfolio progress monitoring

automated due diligence workflows

founder-investor collaboration tools

fintech market mapping

lp investment data portal

proprietary operating playbooks

founder talent and customer networking

ai-powered signal sourcing

FAQs

How does Lighthouse assist in the investment sourcing process?

Lighthouse utilizes machine learning and artificial intelligence to scan for unique market signals, helping investment teams identify potential opportunities early. This automated approach allows for more efficient pipeline management compared to manual research.

What resources are available to founders on the platform?

Founders can access Fin Capital's operating playbooks, request talent or customer connections, and schedule time with the investment team. The platform acts as a collaboration hub for hands-on operational support.

Can Limited Partners track their specific investment performance?

Yes, the platform includes a dedicated portal for LPs to review their portfolio data and investment details. Additionally, they can access proprietary research and market mapping tools provided by the Fin team.

How can I gain access to the Lighthouse platform?

Access is primarily reserved for members of the Fin Capital network, including employees, portfolio founders, and LPs. Interested parties can request access through the dedicated email address or sign-up link on the homepage.

Pricing Plans

Institutional Access
Free Plan

AI signal sourcing

Automated due diligence

Portfolio monitoring

Founder network access

Operating playbooks

LP data portal

Market research maps

Job Opportunities

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Lighthouse

Account Executive

Optimize venture capital workflows using AI-powered deal sourcing, automated due diligence, and a unified platform for founders, investors, and limited partners.

salesonsiteDenver, US
$110,000 - $125,000
full-time

Benefits:

  • Equity participation

Experience Requirements:

  • 5+ years of software selling experience to larger mid-market and/or enterprise companies

  • Proven track record of prospecting and lead generation

  • Experience selling to VP and C-level executives (CISO/CIO)

  • Experience managing a $1M+ quota

  • Proven history of managing and closing complex sales cycles

Other Requirements:

  • Hunter mentality

  • Consultative sales approach

  • Polished presentation skills

  • Interest in applying emerging technologies like AI

Responsibilities:

  • Identify and target potential customers through research, networking, and cold calling

  • Achieve short-term results and exceed quota

  • Help refine sales motion and GTM function

  • Establish and nurture relationships with CISOs and CIOs

  • Manage and control the sales process through contract signing

Show more details

Brand Partnerships Manager

Optimize venture capital workflows using AI-powered deal sourcing, automated due diligence, and a unified platform for founders, investors, and limited partners.

Benefits:

  • Competitive equity package

  • 401k match

  • Medical, dental, vision benefits

  • Generous vacation policy

  • Paid parental leave

Experience Requirements:

  • 5+ years of experience in account management or brand partnerships

  • Experience building and executing activation plans for sports/entertainment

  • Experience managing brand partner relationships directly

  • Proven negotiation and dealmaking experience

Other Requirements:

  • Familiarity with marketing legal and compliance standards

Responsibilities:

  • Manage key sports and entertainment partnerships

  • Collaborate with cross-functional Marketing partners

  • Implement engagement strategies across owned, earned, and paid channels

  • Identify and evaluate new partnership opportunities

  • Track and report on partnership performance (ROI)

Show more details

Senior Analytics Engineer

Optimize venture capital workflows using AI-powered deal sourcing, automated due diligence, and a unified platform for founders, investors, and limited partners.

Benefits:

  • Equity and performance bonus program

  • Health insurance from day one

  • 401k plan with a match

  • Commuter FSAs

  • Unlimited PTO

Experience Requirements:

  • 6+ years of experience in analytics engineering or data engineering

  • Deep fluency in a modern data warehouse (BigQuery preferred)

  • Strong experience with dbt

  • Experience with real-time streaming databases (Materialize)

  • Strong experience orchestrating large datasets

Other Requirements:

  • AI-forward, leveraging AI coding assistants (Cursor, Claude Code, Devin)

  • Engineering-minded with a strong bias towards action

Responsibilities:

  • Grow Bilt’s data function to support business goals

  • Partner with stakeholders to model data into usable formats

  • Lead end-to-end development of models and metrics

  • Identify opportunities for advanced analytics (LTV, Churn)

  • Identify cost and performance optimizations for models

Show more details

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