Overview

Stefano Caruso

AI-first Product Leader

AI-first Product Leader with over 16 years of experience in data, and a strong track record in team building, stakeholder alignment and product delivery. Leverages data and first-principles thinking to drive execution and business outcomes.

Stefano Caruso portrait

Projects

Experience

Career depth across AI product, data systems, and founder-led delivery.

Roles

Each role is framed around operating context, delivery scope, and measurable leverage.

Gauntlet AI logo

Gauntlet AI

AI Product Engineer

Feb 2026 - May 2026

Built multi-agent product systems inside an AI factory model, combining product strategy with hands-on implementation.

AI agentsProduct engineeringMulti-agent workflows
  • Built and orchestrated AI agent systems within a BMAD-style AI factory architecture for structured end-to-end application delivery.
  • Used MCP, agent skills, and tool calling to improve reasoning quality, performance, and task execution reliability.
  • Defined product vision, specs, roadmaps, and success metrics so AI agents could operate with clearer delivery guidance.
Projectz AI logo

Projectz AI

Founder

Jan 2025 - Present

Leading an AI-native platform at the intersection of home design, project planning, and contractor matching.

FounderCustomer researchFull-stack build
  • Ran customer research, surveys, and UX studies to identify unmet needs and shape the product direction.
  • Used early beta adoption to validate demand signals, refine the moat, and surface the highest-value workflow problems.
  • Built the platform end-to-end with JavaScript, React, TypeScript, Python, REST APIs, and backend/database architecture.
Hyatt logo

Hyatt (Gavin Heath)

AI Product Manager, AI SEO

Jul 2024

Owned the data-to-insight workflow for AI SEO and analytics, aligning architecture, governance, and downstream reporting.

AI SEOData architectureGovernance
  • Led the flow from extraction through AWS ingestion, S3 storage, Snowflake staging, transformation, and ThoughtSpot consumption.
  • Drove data-governance work including personal-data masking to support security and compliance.
  • Created the product vision, PRD, and program increment planning for the machine-learning team.
Tesla logo

Tesla

Technical Product Manager

Mar 2023 - Jun 2024

Owned internal manufacturing software and defect-tracking workflows used at significant operational scale.

30K internal users+6.25% ROIFactory systems
  • Owned frontend UX/UI for a vehicle defect tracking system used daily by 30K internal users.
  • Led stakeholder alignment and prioritized Jira epics, features, and issues that drove a 6.25% increase in ROI.
  • Designed an internal data-labeling solution that reduced bottlenecks and recurring defects while improving quality and evaluation insight.
  • Built in-house observability dashboards, similar to Langfuse, to monitor model performance across quality, latency, and agent-workflow metrics.
  • Led post-LLM data-labeling initiatives, using LLM-as-a-Judge to relabel customer-interaction outputs and improve classification quality.
  • Analyzed customer feedback to uncover user pain points, translated findings into actionable engineering priorities, and helped shift product roadmaps to improve customer experience and satisfaction.

Additional context

Official org titles held during this period: Engineering Tech, Quality Tech, Production Associate.

The Home Depot logo

The Home Depot (Proven Method | American SW)

Data Product Manager

Mar 2023 - Sep 2023

Drove finance analytics products through SQL, metric design, backlog ownership, and executive-facing reporting.

Finance dashboardsBigQueryROI metrics
  • Wrote SQL powering a major finance dashboard and the ROI / OKR metrics behind it.
  • Partnered with data engineers on backend pipeline design in Google BigQuery and metric definitions that drove decision-ready insights.
  • Owned the Jira backlog, sprint ceremonies, dashboards, and reporting for directors and team leaders.
  • Served as the liaison between engineering and directors across the digital sales organization, identifying pain points and delivering data solutions that supported business goals and key milestones.
Uva Mare logo

Uva Mare

Founder

Jan 2016 - Jul 2022

Built and led a global import business alongside a data analytics consulting practice, combining client delivery, operational execution, and revenue growth across multiple business functions.

100+ accounts50% YoY growth$10.8M client value
  • Grew the business through customer success, retention, and management of more than 100 accounts.
  • Scaled revenue from $75K to $392K while expanding solutions across finance, production, marketing, and investments.
  • Built an analytics consulting dashboard offering that generated $10.8M in client value and supported over $85M in customer sales volume.

Skills

Product Leadership

Bringing structure to ambiguity through vision, prioritization, stakeholder alignment, and delivery focus.

Product strategyProduct visionUser researchVoice of customerRoadmap prioritizationExecutive stakeholder alignmentStakeholder managementPRDsRoadmapsSprint planningGo-to-market strategyUser acquisitionDirect client interaction

AI + Agent Systems

Working across applied AI workflows, orchestration, evaluation, and production-ready agent tooling.

Agent orchestrationMCPAgent skillsTool callingReAct agentsRAGPrompt engineeringLLM evaluationAI evaluationObservabilityContext managementGenerative AI

Data + Cloud

Designing the path from raw data through storage, transformation, governance, and decision-making.

Systems architectureData flow mappingData governancePrivacy / complianceAWSAzureGoogle CloudSnowflakeBigQueryPostgreSQLMySQLThoughtSpotTableauBraintrustLangfuse

Engineering Stack

Shipping product surfaces with modern frontend, backend, analytics, and workflow tooling.

Next.jsReactTypeScriptPythonSQLREST APIsGitPandasGitHubPostmanRailwayVercel

Education

Education

  • Flatiron School, New York, NY - Data Science & Advanced Machine Learning
  • Gauntlet AI, Austin, TX - AI Product Engineering, Agents & AI Factories

Certifications & Training

  • Product School: Product Manager, AI Product Manager, Product Leader, AI Agents, GTM
  • Weights & Biases: RAG++, From POC to Production, LLM Evaluation
  • Microsoft Certified: Power Platform Fundamentals, Azure Cloud AI/ML Deployment
  • AWS: Cloud Practitioner