Systems
Product systems that created value.
Case studies in stalled growth, pricing, operating cadence, and 0→1 execution.
OpticOdds / OddsJam
$160M Acquisition: B2B and B2C Growth Engine
Unified product focus across B2B and B2C to drive a $160M acquisition.
Market Failure
Growth was at risk of stalling on B2C subscriptions and not accelerating fast enough on B2B SaaS without product focus.
Architecture
I launched three 0→1 B2B products and tightened B2C activation, pricing, packaging, and mobile quality.
Outcome
- —B2B: stronger product portfolio and ARR growth
- —B2C: 820% MAU growth, iOS 3.0→4.9, Top 50 Sports App
- —Combined: $160M acquisition by Gambling.com Group
CareRev
Marketplace Growth and Operating Reset
Reorganized a 70-person org around the funnel to scale revenue 3x.
Market Failure
Demand existed, but growth was limited by fragmented ownership, manual operations, and weak operating cadence.
Architecture
In partnership with the CTO, I led a 70-person org, mapped the user and operating journey, and reorganized around the highest-leverage parts of the funnel.
Outcome
- —$15M to $50M+ in ~2 years
- —+121% caregiver registration conversion
- —+114% activation conversion
- —+81% average lifetime shifts
CareRev
Smart Rates: ML Dynamic Pricing
Built ML pricing that cut costs and improved marketplace efficiency.
Market Failure
Static pricing could not keep up with marketplace supply and demand.
Architecture
I led the cross-functional team that built ML pricing and aligned the business around adoption.
Outcome
- —18% cost reduction for hospitals
- —50% faster shift fill rates
- —Better marketplace efficiency at scale
Cross-company
AI Applied to Real Business Problems
Applied AI to real business problems, not theater.
The Gap
Companies need product leaders who understand AI deeply enough to craft the approach, evaluate opportunities, build prototypes, and lead small teams to ship. Not just talk strategy.
Experience
Led ML-powered Smart Rates to production (not a POC, a real system processing live marketplace data). Built GenAI, AgenticAI and conversational agents to validate product bets rapidly. Partnered with an AI startup at Elevance Health to integrate symptom-to-specialty matching chatbot. Train product teams in Claude Code for rapid outcome focused delivery.
Outcome
- —Faster validation before expensive engineering commitment
- —Less AI theater, more business signal
If product is the bottleneck, it can also be the lever.
The first step is getting clear on whether the issue is strategy, pricing, team structure, or execution.