For the last 9+ years, I've operated at the intersection of deep technology and commercial strategy. My approach is simple: use first principles to understand the core problem, then build the products and teams needed to solve it at scale.
This has led me on a journey through some incredible challenges:
I believe that the best products are built by teams with a clear mission and a passion for solving meaningful problems. If you're working on something ambitious, let's connect.
Building and validating new ventures in Agentic AI at a top-tier early-stage VC. Leading rapid product validation sprints and pressure-testing GTM strategies.
Founded, built, and exited an AI-native SaaS company. Owned the entire product, tech, and GTM strategy, scaling the team and achieving a successful acquisition by a PE firm.
Owned the product strategy that drove 264% ARR growth and scaled the user base to 700K+, leading to a successful $25M acquisition. Lifted MAU from 43% to 72%.
Directed a $50M+ product portfolio, delivering 412% ARR growth. Joined as the first PM and built the global product function from 1 to 9.
This is my playbook for building great products. It's a modern, results-driven methodology designed for speed and learning.
I go beyond surface-level feedback to understand the core problem a customer is trying to solve. This isn't theoretical; it's about finding the truth that unlocks real value. Result: This approach helped pivot a failing product, turning -65% ARR growth into +45% in one year.
I believe in rapid, iterative learning. Using Concierge MVPs and prototypes (with tools like Bubble & Loom), we get real feedback in days, not months, dramatically cutting time-to-market and de-risking big bets.
Using frameworks like Opportunity Trees and deep funnel analysis, I identify the highest-leverage work that drives growth. Result: This focus boosted enterprise revenue by 450% at one company and lifted user engagement from 43% to 72% at another.
Challenge: Knowledge was siloed in companies. Action: Founded and led a team to build the world's first AI self-building knowledge base. Owned product, tech, and GTM. Result: Scaled the company from concept to a successful acquisition by a PE firm.
Challenge: Low user engagement on a mature platform. Action: Led a data-driven strategy using funnel analysis and JTBD to identify and ship high-value features. Result: Lifted Monthly Active Users from 43% to 72%, leading to a $25M acquisition.
Challenge: Stagnating growth in a large portfolio. Action: Joined as the first PM, built a global team of 9, and set a new product strategy. Result: Drove 412% ARR growth and played a key role in Series B-D fundraising.