Marina Vizdoaga
VP of Investments @Ltv Saas Growth Fund
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WORK HISTORY
VP of Investments @Ltv Saas Growth Fund
Miami, FL, US
Lead private-market acquisitions of profitable, founder-led software businesses - end-to-end from thesis development and sourcing through diligence, structuring, negotiation, close, and post-acquisition value creation.• Lead buy-side M&A processes end-to-end, including valuation, structuring, negotiations, and closing.• Structure and negotiate AI and data licensing transactions, evaluating proprietary data assets and establishing clean rights posture prior to commercialization.• Negotiate complex rights-based agreements covering scope, duration, model training and derivative use, restrictions, audit rights, privacy compliance, indemnities, and liability allocation with sophisticated AI counterparties (NDA-safe).• Own investment theses and downside risk controls, including valuation discipline, earnout mechanics, governance rights, and incentive alignment.• Steward post-acquisition value creation at the ownership level: oversee earnout execution, monitor performance against thesis milestones, and intervene selectively to protect capital and outcomes.• Support investor communications and capital strategy with transaction-grounded underwriting analysis.Focused on ownership durability, economic resilience, and compounding value over time
EDUCATION
Florida International University - College of Business
Master of Science - MS, Finance
University of Academy of Sciences (Moldova)
Bachelor of Science - BS, Philosophy and Communication
ABOUT MARINA VIZDOAGA
I lead software acquisitions and allocate capital into profitable, founder-led businesses.I have led multiple closed acquisition cycles in software, owning the process from sourcing and underwriting through diligence, structuring, negotiation, and close. I remain responsible for the investment thesis through value realization - designing incentive structures, structuring earnouts, and ensuring performance tracks against the value creation plan.The question I return to in every deal: what actually determines enterprise value over the next decade? Not AI features - but which businesses retain pricing power, margin durability, and strategic leverage as technology restructures cost, ownership, and competitive advantage across software. I approach investing with an owner’s mindset, not a transaction mindset. The goal is alignment, durability, and long-term value - not financial engineering for its own sake.A growing part of my work sits at the intersection of AI and data as economic assets. I structure and negotiate data licensing transactions, evaluating proprietary data value, establishing enforceable rights posture, and negotiating complex agreements with sophisticated AI counterparties, including frontier-model labs and major platforms (under NDA). These negotiations center on scope, control, derivative use, audit rights, privacy exposure, indemnities, and long-term optionality.This is where capital allocation, legal architecture, and technology economics converge - and where I see the most consequential value being created and destroyed in software right now.Capital allocation is structured risk-taking. Incentives shape behavior. Governance protects outcomes. Rights determine value.My work sits where acquisitions, alignment, and economic control intersect.Domains: Software acquisitions · AI & data licensing economics · capital allocation · deal structuring · earnout design · governance · risk discipline
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