Carlos R.

Product Manager

United States7 yrs 2 mos experience

Highly StableAI Enabled

Key Highlights

Built AI platforms generating $8.4M in revenue.
Reduced sales onboarding time from 9 to 6 months.
Led $12M digital transformation in education.

Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions for Education and Enterprise sectors.

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Skills

Core Skills

Product ManagementData Intelligence

Other Skills

Go-to-MarketRandom Forest modelK-means clusteringAzure Cognitive ServicesCloud MigrationDatabase OptimizationSystem AdministrationProduct ComplianceCybersecuritySnowflake CloudPlatform IntegrationPython (Programming Language)Statistical ProgrammingCollaborative FilteringManagement Information Systems (MIS)

About

Most AI projects fail. I build the ones that don't. With 10+ years leading product and data teams, I've spent the last 5 years focused on AI platforms that actually solve real problems—not just impressive demos. From reducing new hire ramp time by 3 months to generating $8.4M in measurable revenue impact, I've learned that successful AI products aren't about the fanciest algorithms. They're about understanding the business problem first, then finding the right AI to solve it. What I do differently: → Start with the problem, not the technology → Build with humans in the loop, not replacing them → Focus on adoption, not just accuracy → Ship incrementally, learn constantly Recent wins: - Built a conversational AI platform that cut sales onboarding from 9→6 months (yes, that generated $8.4M in additional revenue) - Created an intelligent matching system that reduced client mismatches by 72% - Launched a content generation platform that doubled marketing output while increasing engagement 25% My sweet spot: 0→1 AI platform development where business impact matters more than technical complexity. I work with organizations who need AI that actually works in the real world. Currently exploring: Multi-agent orchestration with LangGraph, advanced Context Engineering implementations, and how to make AI governance less painful for everyone involved. Building products that move numbers, not just impress engineers. Let's connect if you're working on AI products that need to ship, scale, and succeed in production.

Experience

7 yrs 2 mos

Total Experience

3 yrs 5 mos

Average Tenure

4 mos

Current Experience

Mercury insurance

Senior AI Product Manager

Feb 2026 – Present · 4 mos · Remote

Defined AI product strategy and roadmap for Mercury's Property & Casualty technology portfolio.
Collaborated with engineering, data science, and business units to prioritize high-impact initiatives.
Led the full product lifecycle for machine learning and automation tools across various operational areas.
Established success metrics and KPIs to drive data-informed decisions and enhance customer experience.

Product Management

Usi

AI Product Manager

Mar 2022 – Feb 2026 · 3 yrs 11 mos · United States

At USI Insurance Services, I leverage a blend of data analytics, AI, and agile methodologies to create products that drive measurable impact across sales, marketing, and operational workflows. By partnering with cross-functional teams, I guide end-to-end product development—shaping strategies, aligning features with business goals, and ensuring continuous delivery of high-value solutions for both internal and external stakeholders.

Data IntelligenceGo-to-MarketProduct Management

Fnu

Product Manager

Apr 2019 – Mar 2022 · 2 yrs 11 mos · Miami/Fort Lauderdale Area

Led $12M digital transformation across educational technology stack
Student Success Prediction Platform
→ The reality: 30% class failure rate, 60% of failing students dropped out
→ My approach: Random Forest model analyzing attendance, GPA, and course characteristics
→ Results: Cut failure rates in half (30%→15%), improved retention from 82%→91%
Intelligent Marketing Segmentation
→ The challenge: $185 cost per application with 0.2% conversion rates
→ My solution: K-means clustering for behavioral segmentation across 3M+ contacts
→ Results: Reduced cost per application to $104, increased conversions by 44%
Mobile-First Campus Platform
→ The problem: Fragmented student experience across multiple systems
→ My solution: Unified mobile app with personalized student journeys
→ Results: 85% daily active user adoption within 90 days
24/7 AI Support System
→ The pain point: Help desk overwhelmed with repetitive queries
→ My fix: Azure Cognitive Services chatbot with smart ticket routing
→ Results: 78% ticket reduction, 91% satisfaction, $70K annual savings
Key insight: In education, technology adoption depends on solving real student problems, not impressing administrators.